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RIGA TECHNICAL UNIVERSITY Faculty of Computer Science and Information Technology Approved by RTU Senate meeting _____________ year„ „ _________, Protocol No _______ Vice-Rector for Academic Affairs______________________ U.Sukovskis Academic Study Programme INTELLIGENT ROBOTIC SYSTEMS Academic Bachelor Study Programme Self-assessment report Riga 2011/2012

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Page 1: RIGA TECHNICAL UNIVERSITY - AIKNCaiknc.lv/zinojumi/en/RtuIntRobotSistB12en.pdfand the latest attainments in robotics ... from different Riga Technical University (RTU) ... in the summer

RIGA TECHNICAL UNIVERSITY Faculty of Computer Science and Information Technology

Approved by RTU Senate meeting

_____________ year„ „ _________, Protocol No _______

Vice-Rector for Academic Affairs______________________

U.Sukovskis

Academic Study Programme

INTELLIGENT ROBOTIC SYSTEMS

Academic Bachelor Study Programme

Self-assessment report

Riga 2011/2012

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Content 1 Objectives, tasks and expected results of the study programme ..................................... 2

2 Organization of the study programme .............................................................................. 4

3 Description of the study programme ................................................................................ 6

4 Approach to expected results evaluation ......................................................................... 9

5 Practical implementation of the study programme ........................................................ 10

5.1 Used study methods and forms .............................................................................. 10

5.2 Involvement of academic personnel in research and its impact on study process 10

5.3 Student involvement in the research activities ....................................................... 11

6 Evaluation of the study programme’s sustainability ....................................................... 11

6.1 Study programme’s compliance with the standard of academic education .......... 11

6.2 Employers’ surveys on employment opportunities of graduates in the future ...... 14

6.3 Comparison to foreign study programmes in “Intelligent Robotic Systems” ......... 17

6.3.1 Comparison to Swinburne University of Technology programme .................. 17

6.3.2 Comparison to University of Applied Sciences Technikum Wien programme 22

6.4 Comparison to study programs in Latvia ................................................................. 27

6.4.1 Comparison to Latvia University of Agriculture academic study’s programme

Bachelor of “Information Technologies” ......................................................................... 27

6.4.2 Comparison to Riga Technical University academic study’s programme

Bachelor in Automation and Computer Engineering ...................................................... 28

7 Students ........................................................................................................................... 30

7.1 General information about the students ................................................................ 30

7.2 Number of dropout students on the first study year .............................................. 31

7.3 Number of graduates .............................................................................................. 31

7.4 Students’ surveys and their analysis ....................................................................... 31

7.5 Graduates’ surveys and their analysis ..................................................................... 37

7.6 Students’ participation in the study process improvement .................................... 37

8 Assessment/evaluation of the study programme’s academic personnel ....................... 38

8.1 General information about the academic personnel .............................................. 38

8.2 Academic personnel qualification’s compliance with the objectives ..................... 39

8.3 Academic personnel’s policy for the next 6 years ................................................... 40

9 Financing sources and provision of the infrastructure .................................................... 40

10 External relations ......................................................................................................... 41

10.1 Collaboration with employers ................................................................................. 41

10.2 Collaboration with other universities ...................................................................... 42

11 Continuation of studies in the case of study programme cancellation ...................... 42

12 Development plan of the study programme ............................................................... 42

12.1 SWOT analysis ......................................................................................................... 42

12.2 Activities for development of the study programme for the next 6 years ............. 43

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1 Objectives, tasks and expected results of the study programme

The aim of the academic bachelor study programme “Intelligent Robotic Systems” is to

prepare professionals who can be characterized by ability to think systematically, to analyze,

develop and implement technically and economically reasoned robotic and intelligent

system’s solutions that promote these solutions using organizations’ labor productivity

increase and growth, as well as to develop in the student’s ability to carry out the scientific

work, to participate in local and international projects and to continue with master and

doctoral studies.

To achieve the determined aim several tasks of the study programme are defined, as well as

indicators of their fulfillment. They are reflected in the Table below:

No. Task Indicator

1. To develop students’ systems thinking

ability and practical skills that are

necessary for development of the

technically and economically

reasoned robotic and intelligent

systems’ solutions;

To facilitate students' ability to think and

perceive the robotic systems as one whole

study program includes subjects

“Foundations of Computer and Robotic

Systems Design”, “Robot systems modeling

basics”, “Basics of autonomous and mobile

robotic systems”, “Industrial robot control

systems” and “Robot control system

development project”.

2. To use in the study process both

fundamental and classical solutions

and the latest attainments in robotics

and artificial intelligence. To promote

students' individual and practical

work, as well as the technology

immediate work in groups;

Study program includes fundamental

subjects that provide base knowledge and

skills for work and further education in

engineering sciences’ area, including

mathematics, probability theory, physics,

chemistry, electrical engineering and

electronics and others.

Are included study subjects that form

robotics area base knowledge complex,

including “Theoretical Mechanic (robotic

systems)”, “Robot Kinematics”, “Special

Purposes Electrical Machines”, “Industrial

Electronic Equipment”, “Basics of Signal

Theory”, “Electric Drive of Robots”,

“Microprocessor Technique” and others.

Individual and practical work is promoted by

the practical works within the study

subjects, as well as using specific subjects,

for example, “Robot control system

development project”.

3. To provide knowledge and experience

provision for students in several areas

The study programme is realized by

cooperation of three faculties: Faculty of

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by cooperation with teaching stuff

from different Riga Technical

University (RTU) departments;

Computer Science and Information

Technology (FCSIT), Faculty of Power and

Electrical Engineering (FPEE), Faculty of

Transport and Mechanical Engineering

(FTME). This ensures the provision of the

knowledge and experience in relevant areas

to students. In addition to this, students are

asked to choose the theme of the bachelor

thesis, in which is highlighted one of areas

mentioned.

4. To assure the flexibility of the study

program and possibility to modify it in

order to follow changes in the labor

market and new developments in

Information and Communication

Technology (ICT);

Study programme includes both the

compulsory and elective subjects which

combination allows for particular student to

adapt programme according to his/hers

desires and labor market requirements.

Additional option is to use the cooperation

advantages with the University of Tartu that

allow to increase the flexibility and

adaptability of the programme to specific

changes in the labor market, industry or

student request.

5. To prepare and motivate students for

their master studies.

In order to prepare students for master

studies has been implemented the study

project, which creates interest and desire to

improve in this area, regularly outside the

lectures are organized workshops managed

by master and doctoral students, and is

stimulated work in RTU Robotics Club, which

allows to develop their skills, participating in

international level robotics competitions.

6. To assure listed below expected

results defined for the program;

The expected results are achieved by a

combination of knowledge provided within

the compulsory and elective subjects and

skills gained in laboratory works and

projects, as well as by providing research

skills in bachelor thesis development

process. Such combination of particular

subjects’ results provides fulfillment of the

study programmes’ common goals and tasks.

7. To develop cooperation with similar

or topic-related programs in other

countries inside ERASMUS and other

agreements;

The ERASMUS cooperation agreement with

the University of Tartu is signed (included as

additional appendix). In addition the regional

cooperation project in the Interreg Est-Lat

programme is being carried out. The aim of

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this project is to synchronize study programs

between the University of Tartu and RTU, as

well as to promote students’ attraction and

exchange.

Currently the synchronization work with the

University of Tartu is done at master studies

level, but it is planned also for bachelors

studies.

According to the expected results defined for the “Intelligent Robotic Systems” study

programme, the graduates of the programme will:

be able to formulate a specific problem in terms of automated and robotic systems;

be able to develop solutions to particular problems by using modern automatic and

electric drive elements;

be able to develop an automatic or robotic system's control algorithm;

be able to develop software for a specific robotic or automatic equipment

management and coordination;

be able to develop solutions that combine hardware and software technology

advantages;

know how to distinguish problems that should be solved with the hardware

resources from those who should be solved with software resources;

know how to identify problems that can be solved with intelligent robotic systems;

be able to independently acquire new knowledge and skills;

be able to work in group for a single goal’s achievement;

be able to base the specific solution's advantages or disadvantages to the customer

or to another professional;

be able to provide professional and general ethic rules observation within their

powers;

be prepared for their master studies.

2 Organization of the study programme

The study programme is realized by cooperation of three faculties: Faculty of Computer

Science and Information Technology, Faculty of Power and Electrical Engineering, Faculty of

Transport and Mechanical Engineering. It is necessary because the robotic systems are

combination of the mechanics, electronics and software. Thus, the study program is highly

interdisciplinary. To ensure a special emphasis on the topics discussed in particular study

subjects, a cooperation agreement is signed with the University of Tartu, which provides to

students the opportunity to widen their knowledge and experience in electronics and

automatics, as well as improve skills in an international study and research environment.

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To ensure the student's training level for academic bachelor study programme "Intelligent

Robotic System", should be fulfilled the following admission requirements:

Basic requirements:

To begin studies in bachelor's academic study programme "Intelligent Robotic Systems”

requires general or professional secondary education.

Additional requirements:

To begin studies in bachelor's academic study programme "Intelligent Robotic Systems”

student should have knowledge in physics, chemistry, algebra and geometry according to

the requirements of secondary education.

The enrollment of students in study programme is organized once a year – in the summer

together with other RTU academic bachelor study programmes.

To ensure the quality of the study programmes the following means are used:

1) Student questionnaires about particular study subjects. Questionnaire results are

collected and analyzed for quality assurance and improvement, if necessary (Refer

to section 7.4.).

2) Regularly is carried out study program's comparison with other Latvian and abroad

universities' realized study programmes in the field of robotics (Refer to sections 6.3.

and 6.4.).

3) Discussions with students about study subjects’ realization and their content are

carried out.

4) Following the practice adopted by RTU, SWOT analysis of the programme is regularly

carried out.

5) For quality assessment is carried out questionnaire of the potential and current

employers. Special attention is given to potential employers’ involvement in joint

scientific research projects and their active participation in the bachelor theses’

themes formulation and also in their evaluation. As example can be mentioned RTU

and Terra Virtuala Ltd. signed cooperation agreement.

6) For quality assurance and active student involvement students applications'

processing and submission mechanism are implemented, which, if necessary, allow

students to remain anonymous, thus providing a very significant additional feedback

for particularly important deviations from the programme’s content defined in the

description of study subjects.

7) Strong emphasis in study process is placed on doctoral students' involvement in the

study programme's implementation together with experienced and highly qualified

teaching stuff, thus creating a dynamic and professional learning environment.

8) Modern laboratory equipment is used, which includes an automatic production

lines, several freedom degrees industrial robots and modern computer classes.

Equipment is also freely available for study's daily process and bachelor thesis

development (for details see Appendix 1).

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3 Description of the study programme

Study programme “Intelligent Robotic Systems” (total 80 CP) consists of 37 CP of compulsory

subjects and rest of them are compulsory limited choice and free choice subjects. According

to specifics of study programme all subjects can be divided into thematic groups:

Fundamental subjects of engineering sciences

Compulsory subjects: Supplementary Mathematics (for mechanical engineering), Physics, General Chemistry, Theoretical Mechanic (robotic systems), Discrete Mathematics, Probability Theory and Mathematical Statistics, Numerical Methods, Random Processes, Introduction to Study Field, Descriptive Geometry and Engineering Graphics;

Subjects of general education

Compulsory subjects: Sport Activity, Languages (Latvian, English, German or French), Fundamentals of Computer Graphics and Image Processing, Applied Software, Civil Defence, Basics of Communication;

Electronics and its related areas

Compulsory subjects: Electrical Engineering and Electronics I, Microprocessor Technique, Basics of Signal Theory, Industrial Electronic Equipment;

Fundamentals of robotic systems

Compulsory subjects: Robot Kinematics, Traction Drives of Electrical Transport, Special Purposes Electrical Machines, Control Technique with Microprocessor Controllers;

Software development

Compulsory subjects: Algorithmization and Programming of Solutions, Object-Oriented Programming;

Intelligent control systems

Compulsory subjects: Discrete Structures of Computer Science, Fundamentals of Artificial Intelligence, Intelligent Electronic Equipment in Robotic Systems;

Fundamentals of systems thinking

Compulsory subjects: Methods of Systems Theory, Linear and Nonlinear Systems;

Segments of deepened knowledge

This group consists of compulsory limited choice subjects, like humanitarian and social, educational or economic and management subjects, and free choice subjects.

Specializing subjects

This group consists of the limited choice of subjects that allow choosing one of two specialization directions:

Robots hardware:

Introduction to Digital Electronics ;

Electric Drive of Robots;

Introduction to Electrical Drives;

Industrial robot control systems;

Power Electronics;

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Electrical Drives (Study Project); Robots control:

Robot systems modeling basics;

Basics of Autonomous and Mobile Robotic Systems;

Foundations of Computer and Robotic Systems Design;

Logical Foundations of Intelligent Robots;

Robot control system development project.

Mentioned thematic groups should not be considered as fixed study programme’s modules. Study programme’s subjects can be arranged in several modules systems to flexibly ensure compliance with the labor market requirements, and, if the need arises, cooperation with other countries’ universities similar study programmes.

Volume of the programme’s parts and time distribution are shown in following Table:

Identifier Group of subjects CP (%)

A Compulsory study subjects 85 70,83 %

B Compulsory limited choice subjects 21 17,5%

1. Specializing subjects 11 9,17%

2. Humanitarian and social, educational or economic and management subjects

10 8,3%

C Free choice subjects 4 3,33%

D Bachelor thesis 10 8,33%

Total 120

Extended distribution of the courses’ groups is shown in following Table:

A. COMPULSORY STUDY SUBJECTS 85 CP

1. Introduction to Study Field 1 CP

2. Mathematics 9 CP

3. Supplementary Mathematics (for mechanical engineering) 2 CP

4. Numerical Methods 2 CP

5. Discrete Mathematics 2 CP

6. Probability Theory and Mathematical Statistics 2 CP

7. Random Processes 2 CP

8. Physics 6 CP

9. Theoretical Mechanic (robotic systems) 3 CP

10. Robot Kinematics 3 CP

11. General Chemistry 2 CP

12. Electrical Engineering and Electronics I 2 CP

13. Descriptive Geometry and Engineering Graphics 2 CP

14. Fundamentals of Computer Graphics and Image Processing 2 CP

15. Applied Software 2 CP

16. Algorithmization and Programming of Solutions 5 CP

17. Object-Oriented Programming 3 CP

18. Discrete Structures of Computer Science 3 CP

19. Fundamentals of Artificial Intelligence 3 CP

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20. Methods of Systems Theory 2 CP

21. Linear and Nonlinear Systems 2 CP

22. Traction Drives of Electrical Transport 2 CP

23. Microprocessor Technique 3 CP

24. Special Purposes Electrical Machines 3 CP

25. Introduction to Electrical Drives 2 CP

26. Basics of Signal Theory 4 CP

27. Industrial Electronic Equipment 2 CP

28. Intelligent Electronic Equipment in Robotic Systems 3 CP

29. Control Technique with Microprocessor Controllers 3 CP

30. Basics of Communication 2 CP

31. Civil Defense 1 CP

32. Sport Activity 0 CP

B. COMPULSORY LIMITED CHOICE SUBJECTS 21 CP

1. Specializing subjects 11 CP

1.1. Introduction to Digital Electronics 3 CP

1.2. Robot systems modeling basics 3 CP

1.3. Electric Drive of Robots 2 CP

1.4. Basics of Autonomous and Mobile Robotic Systems 2 CP

1.5. Industrial robot control systems 2 CP

1.6. Power Electronics 2 CP

1.7. Foundations of Computer and Robotic Systems Design 2 CP

1.8. Logical Foundations of Intelligent Robots 2 CP

1.9. Electrical Drives (Study Project) 2 CP

1.10. Robot control system development project 2 CP

2. Humanitarian and social subjects 4 CP

2.1. General Sociology 2 CP

2.2. Sociology of Management 2 CP

2.3. Sociology of Personalities and Small Groups 2 CP

2.4. Management Theory 2 CP

2.5. Organization of Management in Enterprise 2 CP

2.6. Business Economics 2 CP

2.7. Business Economics and Fundamentals of Marketing 2 CP

2.8. Economics and Planning of Small Business 2 CP

2.9. Business and Investments 2 CP

3. Languages 4 CP

3.1. English 4 CP

3.2. German 4 CP

3.3. French 4 CP

C. FREE CHOICE SUBJECTS 4CP

E. FINAL EXAMINATIONS 10 CP

1. Bachelor thesis 10 CP

Total: 120 CP

Practically in all subjects student work is evaluated taking into consideration all the work done during the semester. The following activities are evaluated:

1) individual assignments during the lectures and laboratory works; 2) student’s activity during lectures; 3) individual independent assignments or teamwork; 4) projects; 5) study works;

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6) exams, tests and bachelor thesis.

Within the studies students have access to FCSIT computer classes and free software for

study needs with usage limits set by RTU and Microsoft Latvia cooperation agreement.

Students have the opportunity to use RTU library services and there available literature, as

well as electronically available databases.

For laboratory works are used computer rooms equipped with modern production

automation resources and robotic production process management software. In

cooperation with ABB Latvian agency created industrial robotics laboratory is being used.

Laboratory is equipped with a robot modeling software, as well as industrial robot ABB IRB

1600.

For independent and final works' development Autonomous systems laboratory is available,

which is freely available to both masters and bachelors students in leisure time of lectures.

In addition to this traditional modern presentation tools are used – data/video projectors

and presentation software.

RTU e-learning management environment ORTUS is used in the study process. ORTUS is a

repository of teaching materials, tasks and works results, communication environment with

students and a feedbacking mechanism for students in form of assessment or comment.

Using FCSIT realized projects funds material and technical base in recent years for students

has been significantly expanded. It is planned that till May 2012, the total investment

amount will reach 10000 LVL. Most of the funds have been used for electronic and

electromechanical components purchase, as well as for purchase of individual instruments,

that may be necessary for studies or final works' practical part realization.

In parallel with studies with RTU Student Parliament's support robots building workshops

are organized, where the best students have the opportunity under the guidance of

experienced teachers during one academic year to develop a mobile robotic platform.

During drawing up this document number of applications accepted is 1/3 of the total

number of applications, which has reached more than 90. It is characterized by high

students’ interest in these workshops (not only "Intelligent Robotic Systems" programme

students). Such are given additional motivation and stimulus to learn the study subjects with

responsibility.

Students have access to mobility programmes, with special emphasis on cooperation with

the University of Tartu, with which study programmes are coordinated and, where possible,

supplement each other.

In addition to this students have access to free choice of courses within continuing

education and summer schools.

4 Approach to expected results evaluation

The results' evaluation system is based on RTU Study learning outcomes evaluation

regulations (protocol no. 539) approved in the March 29, 2010. The evaluation methods for

each subject are defined by the responsible academic personnel (teacher) according to study

course goals, tasks and applied teaching methods. The evaluation methods are known to

students at the beginning of the semester. Some of the evaluation methods used by

teachers are as follows:

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written or oral examinations during the session;

written or oral individual work whose results can include presentation;

project that can be evaluated according to the student's contribution to group work;

regular tests during semester;

combination of the previously mentioned methods;

Assessment of each subject is determined in 10 grade scale or in case of the test with the

pass/fail.

Bachelor thesis is also evaluated in 10 grade scale.

5 Practical implementation of the study programme

5.1 Used study methods and forms

Subjects are being implemented in different amount according to the study plan - 1, 2, 3 or 4

CP. According to this in addition to lectures is foreseen defined work amount for work in

groups, practical tasks or independent work. All study subjects include independent work.

Most of the subjects whose amount is greater than 2 CP also include practical tasks or work

in groups. More about this was described previously.

Modern presentation technologies such as PowerPoint are widely used in study subjects. To

strengthen the knowledge gained, practical tasks supervised by a lecturer are widely used in

specializing subjects, i.e. lecturer demonstrates certain manipulations with equipment or

software that students can later repeat - step by step. Then, increasing task's difficulty level,

students can solve tasks independently. This is especially important when using expensive

and complex techniques, such as industrial automation resources. In study subjects where

industrial robot ABB IRB 1600 is intended for use, students are initially trained to work with

"virtual" robot within the appropriate simulation environment. When it is acquired well

enough a job with a real machine is offered. Such students are motivated and stimulated to

actively and accurately learn the subject matter.

In order to enable effective use of the subject matter for practical and independent works,

e-learning environment ORTUS is used in RTU, as well as additional communication

opportunities provided by the system.

5.2 Involvement of academic personnel in research and its impact on study

process

According to the summary of the academic staff (Appendix 3) shown below, most of them

are with a doctoral degree in the corresponding field of research. This means that most of

the academic staff has active participants in research, which allows them to use scientific

achievements, methods and results in improvement of the learning process, as well as in

improvement and regular updating of the teaching material.

Active scientific work experience enables more efficient teaching material's transfer to

students, as well as to motivate them to start their own research.

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Good examples of such a motivation are jointly realized European Regional Development

Fund (ERDF) supported projects “Development of technology for multiagent robotic system”

and “Research and Development of the Intelligent Hybrid Uninterruptible Power Supply

Systems and their Elements to Increase Energy Efficiency”, where are actively involved

master and bachelor level students. The same typical example is the Interreg cooperation

project BONITA, under which the as part of a demonstration equipment, by collaborating

teaching stuff with students, was created a robotic system that uses advanced technical

solutions to achieve high mobility.

In addition to this, together with the students a collaborative project ICT-DCNet devoted to

study programmes synchronization with the University of Tartu, as well as attraction of new

students to robotics studies is carried out.

Thanks to this partnership, students gladly participate in other activities of the faculty,

including robotics workshops designed to motivate students for studies and to attract new

students.

It should be emphasized that the number of study programmes teachers has high scientific

qualifications and an international scientific reputation. Among them are academician of the

Latvian Academy of Sciences J. Grundspeņķis, academician L. Ribickis, corresponding

member U. Sukovskis, etc. with a large number of internationally cited publications,

monographs, conference organizing experience and active work in the conference programs

committees.

More information about specific scientific achievements is represented in Appendix 7.

5.3 Student involvement in the research activities

The study programme do not provide direct student involvement in research work,

therefore, unlike the master level programmes, there are no specializing study subjects for

relevant knowledge and skills provision. Despite this bachelor thesis, which is formed as an

independent research on a particular topic, gives a quite good practice that motivates and

prepares for more focused research within master level studies.

As mentioned before (see Section 5.2.), already now students are involved in the ERDF

scientific research project and in two Interreg cooperation projects. Students have

opportunities each year to participate in the RTU students' scientific conference, as well as

in the RTU scientific conference with achieved research results.

Being involved in scientific projects, students have the opportunity to publish the results

together with experienced researchers, as well as to improve their skills and abilities in

particular problems' solving process.

6 Evaluation of the study programme’s sustainability

6.1 Study programme’s compliance with the standard of academic education

Study programme’s compliance with standard of academic education is reflected in Table

below:

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Latvian standard of academic education Study programme “Intelligent Robotic Systems”

1. n/a

2. The aim of the academic education strategy is ensure theoretical knowledge and scientific skills preparing for self-dependent scientific research in the chosen area or subarea.

The aim of the academic bachelor study programme “Intelligent Robotic Systems” is to prepare professionals who can be characterized by ability to think systematically, to analyze, develop and implement technically and economically reasoned robotic and intelligent systems’ solutions that promote these solutions using organizations’ labor productivity increase and growth, as well as to develop in the student’s ability to carry out the scientific work, to participate in local and international projects and to continue with master and doctoral studies.

3. Academic education is implemented in academic study programmes, and after successful accomplishment of the studies the student receives an academic bachelor’s degree in the science area.

Student gets Bachelor Degree of Engineering Sciences in Computer Control and Computer Science after successful accomplishment of the study programme „Intelligent Robotic Systems”.

4. Structure and content of the study programme promotes the acquisition of skills of using acquired knowledge, scientific inquiry and research skills. Obtained academic education is a prerequisite for getting a scientific qualification and it is a prerequisite for scientific activities in a chosen professional field.

Study program includes fundamental subjects in engineering sciences that provide base knowledge and skills. Are included study subjects that provide the newest knowledge in area, for example, “Intelligent Electronic Equipment”, “Basics of autonomous and mobile robotic systems”, “Logical Foundations of Intelligent Robots”. The programme also includes the project type subjects which prepare the students for independent work and research activities including the bachelor thesis development.

5. Volume of the study programme is set by number of credits. Credits are listed for each course (as well as practice), if the test results are positive.

Total number of credit points – 120 CP, each subject and bachelor work have a set number of credit points.

6. Study program’s evaluation principles are the following: 6.1. The principle of mandatory evaluation – it is necessary to get a positive evaluation for acquisition of program contents. 6.2. The principle of diversity of learning outcomes evaluation – different methods are used for learning outcomes. 6.3. The principle of adequacy of evaluation — in the tests students can show their analytical, creative and researching skills.

The evaluation of learning outcomes of “Intelligent Robotic Systems” corresponds to evaluation criteria in each and every study subject, which includes evaluation of the practical work, laboratory work, independent work and other activities, exams, tests, and bachelor thesis.

7. Learning outcomes are evaluated on a 10 grade scale: 7.1. very high acquisition level (10 — “with distinction”, 9 — “excellent”); 7.2. high acquisition level (8 — “very good”, 7 — “good”); 7.3. average acquisition level (6 — “almost good”, 5 — “satisfactory”; 4 — “almost satisfactory” — lowest successful grade); 7.4. low acquisition level (negative grades: 3 — “poor”, 2 — “very poor”, 1 — “very, very poor”).

In the study programme „Intelligent Robotic Systems” learning outcomes are evaluated according to scale which is defined into state academic standards, Point 7. And it is according to learning outcomes evaluation scale accepted by RTU.

8. In the study programme’s learning process there are not more than six compulsory subjects at the same time.

In the study programme the first 2 semesters have 7 compulsory subjects. It is related to RTU specific

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subject “Sport Activity” that has 0 CP and final examination is test. Thus, the exam session will retain six subjects load.

9. Bachelor studies is scientifically based wide profile studies.

The intended study programme provides a wide enough range of the fundamental subjects in engineering sciences, as well as for robotics and industrial automation area specific subjects that describe the intended programme as a a wide profile programme.

10. Bachelor study programme profile and the name are made in accordance with the Classifier of Educational Programmes.

According to programme's content educational programme's classificator code 43481 assigned to it, which states that the programme is implemented in Computer Control and Computer Science and comply with the engineering sciences area. The name does not have exact match in classifier. Therefore, it is designed according to the programme's content.

11. Bachelor study programme is intended to provide students with theoretical knowledge and research competences and skills in key area of corresponding sciences' sector or subsector.

The study program is focused on theoretical knowledge in mechanics, artificial intelligence, electrical drive, software development, systems theory and other areas that allow to carry out research and apply technologies for integrated solution development, taking into account their impact on specific manufacturing processes, existing infrastructure, as well as human and mentioned factors' development at level of individual equipment, process and organization.

12. Bachelor study programme’s main objective is to provide students with a scientific basis for professional activities, developing scientific analysis abilities and the ability to independently solve problems and to prepare students for future scientific research studies.

The study programme provides a number of fundamental subjects in the engineering sciences, that provides the necessary scientific basis for professional and specializing subjects, such providing the scientific basis for future professional activities. Most of the subjects contain practical work or laboratory work part, which develops student's independent work and analysis capabilities, as well as prepares for study continuation in masters study programmes.

13. Bachelor study programme’s amount for full time and part time studies is 120 – 160 CP, including bachelor thesis not less than 10 CP. The duration of full-time studies is 6 - 8 semesters.

Programme’s amount for full time studies is 120 CP, including 10 CP for bachelor thesis. The duration of full-time studies is 6 semesters.

14. Bachelor study programme include compulsory subjects - not less than 50 credit points, elective subjects not less than 20 credit points and free choice subjects.

Programme include: - compulsory subjects – 85 CP; - compulsory/elective subjects – 21 CP; - free choice subjects – 4 CP.

15. Bachelor study programme’s include the compulsory part that includes basics, principles, structure and methodology of the particular branch of science not less than 25 CP, its history and contemporary problems not less than 10 CP, its state of the art and interdisciplinary aspects not less than 15 CP.

The Guidelines forming subjects in amount of 42 CP: Mathematics (9 CP), Supplementary Mathematics (for mechanical engineering) (2 CP), Discrete Mathematics (2 CP), Physics (6 CP), Descriptive Geometry and Engineering Graphics (2 CP), Algorithmization and Programming of Solutions (5 CP), Applied Software (2 CP), General Chemistry (2 CP), Electrical Engineering and Electronics I (2 CP),

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Numerical Methods (2 CP), Probability Theory and Mathematical Statistics (2 CP), Random Processes (2 CP), Theoretical Mechanic (robotic systems) (3 CP), Robot Kinematics (3 CP). Subjects devoted to history and current problems in amount of 15CP: Methods of Systems Theory (2 CP), Basics of Signal Theory (4 CP), Introduction to Study Field (1 CP), Traction Drives of Electrical Transport (2 CP),, Microprocessor Technique (3 CP), Object-Oriented Programming (3 CP); Area's problems in the interdisciplinary aspect in amount of 16CP: Fundamentals of Computer Graphics and Image Processing (2CP), Linear and Nonlinear Systems (2 CP), Control Technique with Microprocessor Controllers (3KP), Fundamentals of Artificial Intelligence (3 CP), Discrete Structures of Computer Science (3 CP), Intelligent Electronic Equipment in Robotic Systems (3 CP). Other compulsory subjects are not belonging to these groups or are applicable to several of them.

16. Bachelor degree - Bachelor of Education Sciences, Human Sciences, Social Sciences, Natural Sciences, Engineering Sciences, Agriculture Sciences, Health Sciences and Environmental Sciences - grants in related science fields group according to the Latvian Ministry of Education classification for education thematic groups.

According to programme content educational programme's classificator code 43481 assigned to it, the graduate receives Bachelor of Engineering Sciences in Computer Control and Computer Science.

17. Science fields groups' bachelor study programme’s list taking into account the Council Of Higher Education recommendation at the end of each academic year confirms the Minister of Education and Science.

n/a

18. A Bachelor’s degree shall give the right, after fulfilling the requirements for admission into the academic Master’s study programme in the same or a related science field or subfield (under the conditions of admission in particular Master's study programme).

The programme has been developed in coordination with the same name academic master's study programme, which provides further studies. According to the conditions of admission graduating students of this program will be able to continue their studies in other RTU Faculty of Computer Science and Information Technology, Faculty of Power and Electrical Engineering, Faculty of Transport and Mechanical Engineering realized masters’ study programmes.

19. Right to continue academic studies in the master's programme are also to the higher professional study programmes' graduates, in which are included corresponding bachelor study programmes’ compulsory part (without bachelor thesis) in amount not less than 70 CP.

n/a

20. – 24. n/a

6.2 Employers’ surveys on employment opportunities of graduates in the future

According to the personal robots market forecast done by ABI Research (One of the leading

market forecasting companies that focuses on future and emergent technologies) by 2017

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the total market value will reach 19 billion US dollars. The main driving force will be

telepresence, security and defense applications that keep developing very fast.

(http://www.roboticstrends.com/consumer_education/article/personal_robotics_market_t

o_top_19_billion_in_2017).

According to the forecasts published in:

http://www.researchandmarkets.com/reports/582349/educational

and_entertainment_robot_market.pdf entertainment and educational robots market will

reach 3 billion US dollars in comparison with 2007 when it was only 28 million US dollars.

It has to be emphasized that it is only a part of the total robotic systems market. For instance

industrial robots market exceeds 17 billion in 2010 and the total number of systems was 120

thousand per year that is twice as large as it was back in 2009 (from „Executive summary 1.

World Robotics 2011 Industrial Robots” :

http://www.worldrobotics.org/uploads/media/2011_Executive_Summary.pdf). It has been

forecasted that until 2014 the annual sell will increase up to 140000 units maintaining an

average growth on 6% level, ensuring 1.3 million devices being in use. Europe’s market

growth forecasts are little less reaching 4% per year.

Latvia and the Baltic region in general will not stay out of those trends, already it is noticed

that after the economic fall Latvian companies are more active investing their money in new

technologies and automation than it was before crisis. It clearly indicates that in near future

there will be a solid necessity for well educated people in robotics capable to maintain the

existing as well as develop new automation and robotics solutions.

The program already was supported by Latvian IT Cluster, Association of mechanical

engineering and metal-fabricating industry, Ministry of Defense Of Latvia and Association of

Latvian Computer technologies.

In 2011 a survey has been conducted, where some of potential employers were asked to

estimate what is the actual value of the given graduate for the particular company. In

addition every of the mandatory or partially elective subject was evaluated. Terra Virtuala

Ltd and ABB Latvia Ltd are the largest Latvian robot integrators, sellers and maintainers.

Accenture is one of the larges IT companies in Latvia working in pure software development

as well as in mobile and autonomous application development sectors. Generis Ltd is a

process automation company that provides self-developed solutions and technologies. The

main selection criterion of this company was the fact that it already employs some of the

students.

Pease estimate a potential employee in 10 point scale:

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Please estimate importance of the mandatory courses for your enterprise:

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Please estimate importance of the partially elective courses:

As it is depicted in the charts some of the subject suit better for one companies and are less

appropriate for the rest. It clearly indicates the actual position of the study program in the

current market.

6.3 Comparison to foreign study programmes in “Intelligent Robotic Systems”

The academic bachelor study programme „Intelligent robotic systems” was developed after

the analysis of similar study programmes in other countries as well as study programmes

close to the particular study field (that includes robotics, electronics, energetic, machine

building). For comparison Swinburne University of Technology study programme Bachelor of

Engineering Robotics and Mechatronics and University of Applied Sciences Technikum Wien

(Austria) programme Bachelor in Mechatronics/Robotics are used.

6.3.1 Comparison to Swinburne University of Technology programme

Reference: http://courses.swinburne.edu.au/courses/Bachelor-of-Engineering-%28Robotics-

and-Mechatronics%29-R050/international#aboutthecourse (cited in 15.11.2011.)

The study programme is carried out in Australia, which provides relatively high differences in

credit points system. Therefore, in this comparison are used contact hours equivalent. In

Latvia with one credit point understands 40 student work hours, which includes lectures,

individual work, etc. In the Riga Technical University mentioned amount of work is divided as

follows: 16 contact hours + 24 students individual work hours.

Below in the comparison is used Swinburne University recommended subjects layout and

sequence. The total number of contact hours is very similar for both programs, i.e.

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Swinburne University programme 1211, but the RTU 1456 contact hours. In this comparison

only the compulsory subjects and the limited choices, or specializing subjects are

considered. Using continuous lines are indicated compliance with the compulsory subjects,

but with dashed lines is indicated compliance with the limited choice (compulsory choice)

subjects.

For many subjects in both programs can be found direct relation:

Bachelor of Engineering Robotics and Mechatronics (Swinburne University of Technology)

Intelligent Robotic Systems (Riga Technical University)

Engineering Mathematics

Mathematics + Supplementary

Mathematics (for mechanical

engineering)

Numerical Methods

Discrete Mathematics

Probability Theory and Mathematical

Statistics

Random Processes

The main differences of these subjects are hiding in the fact that in the RTU is taught in

addition Probability Theory and Discrete Mathematics. This is related with these subjects

matter use in later courses in artificial intelligence, programming, and elsewhere, which is

essential to ensure the RTU programme specialization – Intelligent Robotic Systems.

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Comparison to Swinburne University of Technology programme:

Bachelor of Engineering Robotics and Mechatronics (Swinburne University of Technology)

Compliance Intelligent Robotic Systems (Riga Technical University)

Contact hours

Subject Subject Contact hours

180 Engineering Mathematics Mathematics + Supplementary

Mathematics (for mechanical engineering)

176

Numerical Methods 32 Discrete Mathematics 32

Probability Theory and Mathematical

Statistics 32

60 Electronic systems Random Processes 32 66 Circuits and Electronics Electrical Engineering and Electronics I 32

48 Technical software development Algorithmization and Programming of

Solutions 80

60 Machine Dynamics Theoretical Mechanic (robotic

systems) 48

48 Object-oriented programming in C++

Object-Oriented Programming 48

61 Digital Electronics design Industrial Electronic Equipment 32

67 Digital Signal and image processing Basics of Signal Theory, Fundamentals

of Computer Graphics and Image Processing

96

66

Electric actuators and sensors Introduction to Electrical Drives,

Traction Drives of Electrical Transport,

Special Purposes Electrical Machines

112

58 Energy and motion Physics 96

48 Machine design Robot Kinematics 48

61 Embedded microcontrollers Microprocessor Technique 48

67 Control and automation Control Technique with

Microprocessor Controllers 48

71 Robot control Linear and Nonlinear Systems 32

48 Engineering management Methods of Systems Theory 32

60 Materials and processes General Chemistry 32

60 Structural mechanics Fundamentals of Artificial Intelligence 48

66 Mechatronics systems design Intelligent Electronic Equipment in

Robotic Systems 48

48 Design and development Descriptive Geometry and Engineering

Graphics 32

100 Robotics and mechatronics – project

Discrete Structures of Computer

Science 48

48 Robot system design Foundations of Computer and Robotic

Systems Design 32

Introduction to Digital Electronics 48

Robot systems modeling basics 48

Robot control system development

project 32

Electrical Drives (Study Project) 32

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Continuation of direct compliance subjects:

Bachelor of Engineering Robotics and Mechatronics (Swinburne University of Technology)

Intelligent Robotic Systems (Riga Technical University)

Circuits and Electronics Electrical Engineering and Electronics I Technical software development Algorithmization and Programming of Solutions

Machine Dynamics Theoretical Mechanic (robotic systems)

Object-oriented programming in C++ Object-Oriented Programming

The main differences between these subjects are in number of contact hours that is related

to differences in the educational system (Australian programme is intended for 4 years, but

RTU for 3 years) and programme's professional orientation.

Next is shown a group of subjects that is very close in their content:

Bachelor of Engineering Robotics and Mechatronics (Swinburne University of Technology)

Intelligent Robotic Systems (Riga Technical University)

Electronic systems Digital Electronics design Industrial Electronic Equipment Digital signal and image processing Basics of Signal Theory, Fundamentals

of Computer Graphics and Image Processing

Electric actuators and sensors Introduction to Electrical Drives,

Traction Drives of Electrical Transport,

Special Purposes Electrical Machines Energy and motion Physics

Machine design Robot Kinematics

Embedded microcontrollers Microprocessor Technique

Electric actuators and sensors

Introduction to Electrical Drives,

Traction Drives of Electrical Transport,

Special Purposes Electrical Machines

This subjects group has only minor differences with the RTU realized subjects, such as

subjects "Electronic Systems" and "Digital Electronics Design" at the RTU in means of

content are discussed in subjects "Industrial Electronic Equipment" and" Basics of Signal

Theory" as well as in subject "Introduction to Electrical Drives"(limited choice subject). Since

the RTU programme specializes in intelligent systems, for the subjects are no precise

substantive compliance. Part of the matter, which is devoted to electronic system design, is

taught in master’s programme. Thus, in the RTU programme more focus is on basic subjects

(Physics, Mathematics, etc.).

Also the subject's " Digital signal and image processing " matter is viewed separately, i.e.

digital signal processing are discussed within " Basics of Signal Theory", but the remote

processing within the subject " Fundamentals of Computer Graphics and Image Processing".

Subject dedicated to computer vision are viewed in master's programme.

The subject in Electric actuators and sensors comply with a number of the RTU subjects

devoted to aspects of electric drive. However, the direct correlation in their content are not,

because to sensors dedicated study matter is intended for master's studies. Nevertheless,

the sensors' signals processing is viewed in the subject "Basics of Signal Theory".

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Should be stressed also an important differences in names, for example, the subject of

"Energy and motion" by content is part of the Physics mechanics, as well as the Robots

kinematics content's part.

The rest of subjects’ content is more fragmented or there is no correlation at all.

Control and automation – subject content is fragmented between many RTU

subjects, including “Fundamentals of Artificial Intelligence”, where are discussed

decision making techniques. Automation aspects are viewed in subject “Control

Technique with Microprocessor Controllers”, but control mathematical aspects in

“Linear and Nonlinear Systems”.

Robot control – robot control technical implementation aspects are viewed in

subject “Microprocessor Technique”, but its mathematical fundaments in subject

“Linear and Nonlinear Systems”.

Engineering management – subject by its content gives knowledge and skills in

project planning, realization and realization’s control. Direct correlation in RTU

programme is not, but the relevant matter can be acquired through a combination

the engineering sciences and human sciences subjects. For example, systemic

thinking basics are taught in the subject "Methods of Systems Theory", with project

management related knowledge are provided in the limited choice subjects

“Management Theory” and “Organization of Management in Enterprise”, as well as

in others subjects from human sciences.

Materials and processes – to this subject by its content there is not appropriate

subjects in RTU programme, because it deals with materials and their structures for

use in robotic system design. In RTU partly this matter is viewed within Physics and

General Chemistry.

Structural mechanics – also to this subject by its content there is not appropriate

subjects in RTU programme. In RTU partly this matter is viewed within subjects

“Theoretical mechanics” and “Robot Kinematics”.

Design and development – the subject is dedicated to CAD and CAM technology use

in robotic systems design. As well as a significant part is devoted to gaining practical

skills. In RTU part of the matter is acquired in the subject "Descriptive Geometry and

Engineering Graphics", which provides skills in drawing, as well as in objects'

graphical representations development in accordance with the engineering sciences

requirements. System prototyping aspects are presented in subject "Computer and

robot system design basics." Combining both subjects contents, can cover most of

the necessary study matter.

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The next three subjects are projects focused on various aspects of robotic systems with the

aim to give practical skills in systems development.

Mechatronics systems design

Robotics and mechatronics – project Robot system design

In RTU programme is intended only two projects, of which a student may choose one:

Robot control system development project Electrical Drives (Study Project)

This is because of RTU programme's specifics, i.e. it is the academic study programme, as

well as in the total study duration, which does not allow to present three wholesome

projects.

Individual RTU subjects are not compliant at all, including "Sport Activity" and "Basics of

Communication" which in RTU are compulsory, but in Swinburne University of Technology

programme are not included.

Overall, Swinburne University of Technology realized study programme, by its content, is

very close to the RTU proposed. The main differences cause significantly shorter duration of

studies - 3 years, and the differences for expected learning outcomes, i.e. in Australia

realized programme is more focused on practical skills acquisition – it is a professional study

programme but RTU programme is intended for academic studies.

6.3.2 Comparison to University of Applied Sciences Technikum Wien programme

Reference:http://www.technikum-wien.at/en/study_programs/bachelor_s/mechatronics_robotics/

(cited in 15.11.2011.)

The study programme is carried out in University of Applied Sciences Technikum Wien

(further TW) in Austria that is an EU Member State, thus providing similarity in the duration,

amount and content of studies. Like in other EU countries, the amount of studies is made in

accordance with the European Credit Transfer System (ECTS). Similar to the RTU proposed

programme, the total study duration is three years with the amount of 180 ECTS.

Below is shown the comparison between RTU programme and TW programme. Using

continuous lines are indicated compliance with the compulsory subjects, but with dashed

lines is indicated compliance with the limited choice (compulsory choice) subjects. If there

are no lines, then compliance is very poor or is not at all.

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For many subjects in both programs can be found direct relation:

Bachelor in Mechatronics/Robotics

(TW)

Intelligent Robotic Systems (RTU)

Mathematics Mathematics + Supplementary Mathematics

(for mechanical engineering) Numerical Methods Discrete Mathematics

Probability Theory and Mathematical

Statistics, Random Processes Mechanics Physics, Theoretical Mechanic Design and machine parts Theoretical Mechanic, Robot Kinematics Electrical engineering and electronics Electrical Engineering and Electronics I

Digital Automatons Introduction to Digital Electronics Introduction to Computer Science Introduction to Study Field

Programming, data structures and

algorithms

Algorithmization and Programming of Solutions, Discrete Structures of Computer Science

Engineering drawing and CAD Descriptive Geometry and Engineering

Graphics

Signal and image processing Fundamentals of Computer Graphics and

Image Processing, Basics of Signal Theory

Robots: programming and simulation Robot systems modeling basics

Actuating elements Introduction to Electrical Drives Electronic components

Industrial Electronic Equipment, Introduction to Digital Electronics

In this group of subjects only a few TW subjects matter is divided or combined within several

subjects in the RTU. Also, credit points’ amount is very similar. Also here can be seen limited

acquisition of fundamental subjects, i.e. TW content does not provide learning probability

theory, artificial intelligence and physics. Instead, there is presented limited content’s

physics - mechanics, but for probability theory practical attention is not paid. For signal

processing is also devoted much less attention than in the RTU programme. This is related

with TW programme's specialization – mechatronics and robotics, in contrast to the RTU

specialization – intelligent robots, whose technologies without viewing artificial intelligence

and probability theory is not possible to qualitative acquire.

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Comparison of programmes:

Bachelor in Mechatronics/Robotics

(TW)

Compliance Intelligent Robotic Systems (RTU)

ECTS Subject Subject ECTS

9 Mathematics Mathematics + Supplementary

Mathematics (for mechanical engineering) 16,5

9 Mechanics Numerical Methods 3 3 Design and machine parts Discrete Mathematics 3

3 Digital machines Probability Theory and Mathematical

Statistics 3

6 Electrical engineering and electronics

Random Processes 3

3 Introduction to Computer Science Introduction to Study Field 3

6 Programming, data structures and algorithms

Theoretical Mechanic (robotic systems) 4,5

3 Introduction in robotics Physics 9

3 Material science Algorithmization and Programming of

Solutions 7,5

3 Engineering drawing and CAD Object-Oriented Programming 4,5 3 Electronic components Industrial Electronic Equipment 3 3 Industrial robotics Basics of Signal Theory 6

3 Sensor technology Fundamentals of Computer Graphics and

Image Processing 3

3 Actuating elements Introduction to Electrical Drives 3 3 Operating systems and networks Traction Drives of Electrical Transport 3 3 Control engineering and fieldbus Special Purposes Electrical Machines 4,5 3 Robotics lab Electrical Engineering and Electronics I 3

3 Robots: programming and simulation

Robot Kinematics 4,5

3 Measurement and control engineering

Microprocessor Technique 4,5

3 Process automation and visualization

Control Technique with Microprocessor Controllers

4,5

3 Signal and image processsing Linear and Nonlinear Systems 3 3 Embedded systems and real time Methods of Systems Theory 3 3 Manufacturing engineering General Chemistry 3 3 Robotics lab Fundamentals of Artificial Intelligence 4,5

3 Designing robotern Intelligent Electronic Equipment in Robotic

Systems 4,5

3 End effectors Descriptive Geometry and Engineering

Graphics 3

Discrete Structures of Computer Science 4,5 Introduction to Digital Electronics 4,5 Robot systems modeling basics 4,5 Robot control system development project 3 Electrical Drives (Study Project) 3 3 Automation of production Robot systems modeling basics

3 Applied process and plant simulation

Industrial robot control systems

3 Operation and assembling technology

Basics of Autonomous and Mobile Robotic Systems

3 Mobile and service robotics

Next is shown a group of TW subjects that does not have precise compliance is with RTU

subjects:

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Introduction in robotics – subject is dedicated to key definitions, classification, as

well as learning of robot kinematics aspects. Such content subjects in the RTU

programme is not, however, the robot kinematics intensively enough is taught in

subject "Robots kinematics", where are given definitions for terms such as

configuration space, the robot's degrees of freedom, relative coordinate systems,

etc., which form the theoretical foundations in industrial robotics. Thus, the relevant

subject's content is presented only partially;

Material science – such content subjects in the RTU programme is not, because

instead of them are taught subjects devoted to artificial intelligence and electrical

drives, thereby ensuring the appropriate RTU programme's specialization;

Industrial robotics – subject is dedicated to the industrial robot classification,

application characteristics, as well as their control bases. Part of the matter is taught

within RTU subject "Robot Kinematics", but it does not focus on the robot control;

Sensor technology – content of this subject is taught in RTU master programme;

Actuating elements – RTU programme includes many compulsory and limited choice

subjects that that significantly deeper cover actuators and their control dedicated

subject matter;

Operating systems and networks – RTU programme do not has compliant subject,

however, this matter is taught within master programme’s subjects “Embeded

systems” and “Modern Production Technologies”;

Control engineering and fieldbus – control aspects are viewed within subject “Linear

and Nonlinear Systems”. Specific technology - bus, data transmission protocols, etc.

are taught in master programme, as well as in “Modern Production Technologies”;

Robotics lab – RTU programme provides project, as well as most part of subjects

provide practical and laboratory works.

Process automation and visualization –subject content practically is viewed in course

"Robot systems modeling basics", which deals with the visualization and industrial

robot programming aspects. Aspects of automation are viewed in subjects

“Microprocessor Technique” and" Control Technique with Microprocessor

Controllers”;

Embedded systems - RTU programme do not has compliant subject, however, this

matter is taught within master programme’s subject “Embeded systems”;

Designing robotern – this is project type subject that deals with specific platform.

RTU programme does not have such subjects, because it is academic study’s

programme;

End effectors – subject is dedicated to actuators and drive elements. RTU

programme has many subjects dedicated to drive and actuators: “Introduction to

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Electrical Drives”, “Traction Drives of Electrical Transport”, “Special Purposes

Electrical Machines”;

Automation of production and Operation and assembling technology –

corresponding subject matter is taught within subjects “Microprocessor Technique”

and" Control Technique with Microprocessor Controllers”;

Applied process and plant simulation – partly subject matter is viewed in subject

“Robot systems modeling basics”;

Mobile and service robotics – subjects of this type are considered as new in the

world and Europe. RTU programme includes subject “Basics of Autonomous and

Mobile Robotic Systems”.

As seen from the programmes comparison, programmes contents and credit points’

amount is very similar in fundamental robotics areas subjects, but – little different in

specializing subjects. It can be seen that in RTU programme more attention is paid to

fundamental subjects of engineering sciences, as well as for artificial intelligence usage

in robotics. Whereas TW programme more focus on industrial robotics and

manufacturing automation.

Both programs implement enough large section of humanitarian subjects, including

study subjects devoted to foreign languages, economics and management basics. Unlike

TW, RTU programme provides a limited choice subjects in the humanitarian, thus

allowing freer studies planning.

Significant differences are in bachelor thesis development order. TW programme

provides the development of bachelor thesis in two phases in 2nd and 3rd course spring

semesters, as well as to it is devoted the relatively large amount of credit points – 38

ECTS. Contrary to the RTU 15 ECTS is devoted to bachelor thesis.

Individual RTU subjects are not compliant at all, including "Sport Activity" and "Basics of

Communication" which in RTU are compulsory, but in TW programme are not included.

It should be emphasized that also fundamental part's subjects in the engineering

sciences are significantly more widely represented in the programme RTU, thus

emphasizing:

1) RTU programme’s academic orientation;

2) Programme’s consistency with the master's academic programme;

3) Consistency with other study programmes in engineering sciences, thus ensuring

greater students’ mobility that strongly specializing programmes.

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6.4 Comparison to study programs in Latvia

6.4.1 Comparison to Latvia University of Agriculture academic study’s programme

Bachelor of “Information Technologies”

Reference: http://www.llu.lv/getfile.php?id=42279 (cited in 14.11.2011)

Below is shown the comparison between RTU programme and Latvia University of

Agriculture programme. Using continuous lines are indicated compliance with the

compulsory subjects, but with dashed lines is indicated compliance with the limited choice

(compulsory choice) subjects.

It should be emphasized that most of the compulsory subjects entirely match, because they

are the same subjects that is taught for several study programme's courses at the same

time. They are:

No. Subject CP

1. Mathematics 9 CP

2. Discrete Mathematics 2 CP

3. Probability Theory and Mathematical Statistics 2 CP

4. Physics 6 CP

5. Electrical Engineering and Electronics 2 CP

6. Random Processes 2CP

7. Object-Oriented Programming 3CP

8. Numerical Methods 2CP

9. Applied Software 2CP

In addition to mentioned, complete match is in choice block of the humanitarian and

economic sciences area. Consistency among all the other subjects are not as precise that

reflects study programme’s specialization in a certain direction.

Information Technologies (Latvia University of Agriculture)

Compliance Intelligent Robotic Systems (Riga Technical University)

CP Subject Subject CP

2 Computer Graphics Fundamentals of Computer Graphics

and Image Processing 2

4 Algorithms and data structures

Algorithmization and Programming of Solutions

5

Discrete Structures of Computer Science 3

3 Automation basics Robot control system development

project 2

Microprocessor Technique 3

Industrial robot control systems 2

2 Artificial Intelligence Fundamentals of Artificial Intelligence 3

4 Systems Modeling Robot systems modeling basics 3

8 Programming Object-Oriented Programming 3

The main differences are in study programmes amount, because programme's "Information

Technology" (IT) amount is 160 CP, but "Intelligent Robotic Systems" (IRS) amount is 120 CP.

Consequently, also duration of the programmes is different - according 3 and 4 academic

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years. Therefore, the IT programme's specialization subjects' amount is significantly higher

than in the IRS programme. According to their specialization, IT programme emphasizes

software engineering direction, using such subjects as "Programming", "www technology,"

"Introduction to Computing", "Computer Networks", "Database Technology", "Multimedia

Technology", "Software Testing", etc.

Using the higher amount, in IT programme significantly emphasizes the direction of software

development, but the IRS programme focuses more on robot control and their electrical

engineering, electronic and mechanical bases.

In contrast to IT programme IRS programme includes groups and practical work stimulating

studies subjects: "Electrical Drives (Study Project)" and "Robot Control System Development

Project".

To provide the necessary basic knowledge in IRS programme a significant emphasis is put on

mechanics, which is basis for robot dynamics and control techniques. Thus, together with

devoted subjects for the electric drive area and control form a single mutually

complementary set of knowledge. This explains existing differences.

6.4.2 Comparison to Riga Technical University academic study’s programme Bachelor in

Automation and Computer Engineering

Reference: https://info.rtu.lv/rtupub/prg?ukNoteikId=2396 (cited in 14.11.2011)

Below is shown the comparison between programmes. Using continuous lines are indicated

compliance with the compulsory subjects, but with dashed lines is indicated compliance with

the limited choice (compulsory choice) subjects.

It should be emphasized that most of the compulsory subjects entirely match, because they

are the same subjects that is taught for several study programme's courses at the same

time. They are:

No. Subject CP 1. Mathematics 9 CP

2. Discrete Mathematics 2 CP

3. Probability Theory and Mathematical Statistics 2 CP

4. Physics 6 CP

5. General Chemistry 2 CP

6. Algorithmization and Programming of Solutions 5 CP

7. Civil Defence 1 CP

8. Electrical Engineering and Electronics 2 CP

9. Fundamentals of Computer Graphics and Image Processing 2 CP

10. Discrete Structures of Computer Science 3CP

11. Random Processes 2CP

12. Object-Oriented Programming 3CP

13. Numerical Methods 2CP

14. Fundamentals of Artificial Intelligence 3CP

15. Applied Software 2CP

16. Sport Activity 0CP

17. Introduction to Study Field 1CP

18. Microprocessor Technique 3CP

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In addition to mentioned, complete match is in choice block of the humanitarian and

economic sciences area. Consistency among all the other subjects are not as precise that

reflects study programme’s specialization in a certain direction.

Automation and Computer Engineering (Riga Technical University)

Compliance Intelligent Robotic Systems (Riga Technical University)

CP Subject Subject CP

3 Basics of Computer Simulation and Modelling

Robot systems modeling basics 3

3 Introduction to Computer Architecture

Microprocessor Technique 3

2 Fundamentals of Automation Industrial robot control systems 2

Robot control system

development project 2

2 Introduction to Intelligent Systems Logical Foundations of Intelligent

Robots 2

Basics of Autonomous and Mobile

Robotic Systems 2

2 Computer Control Systems in Production

4 Control Systems of Robots Control Technique with

Microprocessor Controllers 3

2 Microcircuit Technology Introduction to Digital Electronics 3 2 Digital Measurement Technique 2 Final Control Elements for Automatic

Systems Electrical Drives (Study Project)

2

Electric Drive of Robots 2

Although both study programmes are realized in the same faculty, their amount and

specialization are different. Programme's „Automation and Computer Engineering" (ACE)

amount is 122 CP, but "Intelligent Robotic Systems" (IRS) amount is 120 CP. ACE specializes

in computer graphics and automation directions, but IRS focuses more on robot control and

robot hardware.

Therefore, industrial automation, as well as in the basic subjects are many similarities.

According to programme's name IRS holds a focus on artificial intelligence techniques usage

in the field of industrial robotics.

In contrast to ACE programme IRS programme includes groups and practical work

stimulating studies subjects: "Electrical Drives (Study Project)" and "Robot Control System

Development Project".

To provide the necessary basic knowledge in IRS programme a significant emphasis is put on

mechanics, which is basis for robot dynamics and control techniques. Thus, together with

devoted subjects for the electric drive area and control form a single mutually

complementary set of knowledge. This explains existing differences.

Overall, after study program comparison with other programmes, it can be concluded that

the programme "Intelligent Robotic Systems" is a modern and follows the latest trends

outside the Latvia, as well as is specific enough in Latvia to say that there is a well-defined

place among another studies programmes’ in engineering.

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7 Students

7.1 General information about the students

In both study years are admitted 11 students fully using states granted budget places. In the

first year was admitted also one paying student, who after first semester did not continue

studies, because of unsatisfactory grades and attendance.

Thanks to the good grades in each study course students have got state scholarships.

Currently in 2nd course are 7 students, i.e. together in programme are 18 active students

and 4 have left the studies in RTU. All, who have left studies, have been dropout for poor

grades.

Most part of the students are involved in robotics activities in free time of the studies by

visiting robotics workshops that are organized for free by participating master and doctoral

students of RTU.

One of the students are involved in cooperation project with the University of Tartu –

project “ICT-DCNet”, whose aim is to popularize engineering sciences, attract students to

robotics, and to improve study programmes by synchronizing them with the University of

Tartu.

Many 2nd course students actively participate in organizing open robotics workshop by

assisting to their supervisors.

Has been signed a contract with the Investment and Development Agency of Latvia (IDAL) on

technical innovative day organization in Latvia during the next 3 years. In the

implementation of the project will be actively involved students by helping to motivate

potential students for studies in RTU.

Relatively small number of students can be explained by the specific of the study

programme and with studies direction's little experience in Europe and Latvia, i.e. there are

only few similar programmes, for which can be obtained wide range of information.

Study year Enrolled Dropout On academic vacation Graduated

2010/2011 11 4 0 0

2011/2012 11 0 0 0

For next few years is expected to increase number of students due to intensive information

campaign within previously mentioned cooperation project ICT-DCNet, as well as with the

technical innovation day and via open workshops.

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7.2 Number of dropout students on the first study year

Currently 4 students are dropout because of unsatisfactory grades and attendance.

Nevertheless, the relative number of dropout students is below the average in other study

programmes.

7.3 Number of graduates

There are no graduates from the program yet. We expect 7 graduates in summer of 2012

and 8 graduates in 2013. Number of graduates after 2013 certainly increases, because

currently within the cooperation project with the University of Tartu is planned informative

campaign that will attract a greater number of students.

7.4 Students’ surveys and their analysis

Student surveys are done regularly (at the end of each semester) in the ORTUS environment.

The results below are acquired by organizing student survey in study system ORTUS. Such

surveys are conducted about each study course after each semester. Taking into account

that the study programme is being implemented only two years, the survey results are

acquired from current second year students about the study subjects of first year.

Surveys are part of the Riga Technical University study process quality management system.

The results of the surveys are available to teachers and study programme director. Below

the data from surveys and appropriate comments are represented.

Lecturer introduced the subject programme, expected outcomes and assessment methods

0

1

2

3

4

5

6

7Mathematics I

Descriptive Geometry and Engineering Graphics

Introduction to Study Field

Algorithmization and Programming of Solutions I

Civil Defense

Sport

Applied Software

Mathematics II

Basics of Communication

General Chemistry

Physics

Electrical Engineering and Electronics

Algorithmization and Programming of Solutions II

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Lecturer covered all of the topics and used time efficiently

Lecture topics were well structured and covered understandably

0

1

2

3

4

5

6

7Mathematics I

Descriptive Geometry and EngineeringGraphicsIntroduction to Study Field

Algorithmization and Programming ofSolutions ICivil Defense

Sport

Applied Software

Mathematics II

Basics of Communication

General Chemistry

Physics

Electrical Engineering and Electronics

Algorithmization and Programming ofSolutions II

0

1

2

3

4

5

6

7Mathematics I

Descriptive Geometry and Engineering Graphics

Introduction to Study Field

Algorithmization and Programming of Solutions I

Civil Defense

Sport

Applied Software

Mathematics II

Basics of Communication

General Chemistry

Physics

Electrical Engineering and Electronics

Algorithmization and Programming of Solutions II

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Lecturer was well prepared

Lecturer effectively used audio visual tools

0

1

2

3

4

5

6

7 Mathematics I

Descriptive Geometry and Engineering Graphics

Introduction to Study Field

Algorithmization and Programming of Solutions I

Civil Defense

Sport

Applied Software

Mathematics II

Basics of Communication

General Chemistry

Physics

Electrical Engineering and Electronics

Algorithmization and Programming of Solutions II

0

1

2

3

4

5

6

7Mathematics I

Descriptive Geometry and Engineering Graphics

Introduction to Study Field

Algorithmization and Programming of Solutions I

Civil Defense

Sport

Applied Software

Mathematics II

Basics of Communication

General Chemistry

Physics

Electrical Engineering and Electronics

Algorithmization and Programming of Solutions II

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Lecturer's speech was clear and understandable

The recommended literature was available and helped to learn the subject

0

1

2

3

4

5

6

7 Mathematics I

Descriptive Geometry and Engineering Graphics

Introduction to Study Field

Algorithmization and Programming of Solutions I

Civil Defense

Sport

Applied Software

Mathematics II

Basics of Communication

General Chemistry

Physics

Electrical Engineering and Electronics

Algorithmization and Programming of Solutions II

0

1

2

3

4

5

6

7 Mathematics I

Descriptive Geometry and Engineering Graphics

Introduction to Study Field

Algorithmization and Programming of Solutions I

Civil Defense

Sport

Applied Software

Mathematics II

Basics of Communication

General Chemistry

Physics

Electrical Engineering and Electronics

Algorithmization and Programming of Solutions II

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Lecturer was available for consultations

Lecturer attended lectures without significant delays

0

1

2

3

4

5

6

7 Mathematics I

Descriptive Geometry and Engineering Graphics

Introduction to Study Field

Algorithmization and Programming of Solutions I

Civil Defense

Sport

Applied Software

Mathematics II

Basics of Communication

General Chemistry

Physics

Electrical Engineering and Electronics

Algorithmization and Programming of Solutions II

0

1

2

3

4

5

6

7 Mathematics I

Descriptive Geometry and Engineering Graphics

Introduction to Study Field

Algorithmization and Programming of Solutions I

Civil Defense

Sport

Applied Software

Mathematics II

Basics of Communication

General Chemistry

Physics

Electrical Engineering and Electronics

Algorithmization and Programming of Solutions II

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Study materials were available in e-learning environment

The covered topics were not overlapping with other subjects

0

1

2

3

4

5

6

7Mathematics I

Descriptive Geometry and Engineering Graphics

Introduction to Study Field

Algorithmization and Programming of Solutions I

Civil Defense

Sport

Applied Software

Mathematics II

Basics of Communication

General Chemistry

Physics

Electrical Engineering and Electronics

Algorithmization and Programming of Solutions II

0

1

2

3

4

5

6

7

Chart Title

Mathematics I

Descriptive Geometry and Engineering Graphics

Introduction to Study Field

Algorithmization and Programming of Solutions I

Civil Defense

Sport

Applied Software

Mathematics II

Basics of Communication

General Chemistry

Physics

Electrical Engineering and Electronics

Algorithmization and Programming of Solutions II

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Which part of the lectures have you attend

7.5 Graduates’ surveys and their analysis

The study programme has no graduates yet. There is an aim to keep continuous and close

cooperation with graduates by getting from them feedback, learning from their professional

experience, and offering possibilities to continue education.

7.6 Students’ participation in the study process improvement

The involvement of students has several mechanisms:

1) The regular surveys of students about study courses in each semesters that give a

significant feedback to the lecturers, study programme director, vice dean in the

study work and vice rector of the studies. In this way the study process is directly

influenced. In the surveys the commentaries of free form can also be written. It

allows the students to give their own suggestions.

2) Student petition mechanism is enacted in RTU that allows the students to give their

suggestions or complaints about the implementation of study process by

anonymously filling a form. The form is then submitted in Student Parliament that

operates as a mediator and represents the interests of the student. Thanks to this

mechanism there have already been changes in study course contents and

implementation process.

3) Direct student submissions to vice dean in study work that allows making

complaints, suggestions and proposals for study process quality improvement or

elimination of shortcomings directly without mediators.

0

1

2

3

4

5

6

7

Chart Title

Mathematics I

Descriptive Geometry and Engineering Graphics

Introduction to Study Field

Algorithmization and Programming of Solutions I

Civil Defense

Sport

Applied Software

Mathematics II

Basics of Communication

General Chemistry

Physics

Electrical Engineering and Electronics

Algorithmization and Programming of Solutions II

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4) The discussions of lecturers with students during the implementation of the course

that allows modifying the course during implementation. A good example is new

programme's courses "Robot systems modeling basics" as well as others whose

content is being actively adapted to existing situation in course.

8 Assessment/evaluation of the study programme’s academic

personnel

8.1 General information about the academic personnel

The information about the personnel is amalgamated in following Table:

No. Name, surname Have PhD Basic employment in RTU

1. Dr.habil.sc.ing. Jānis Grundspeņķis

+ Professor (elected)

2. Dr.habil.sc.ing Lenoīds Ribickis + Rector

3. Dr.sc.ing. Iļja Galkins + Professor (elected)

4. Dr.sc.ing Viesturs Bražis + Lead Researcher (elected)

5. Dr.sc.ing Elmārs Beķeris + Assoc. professor (elected)

6. Dr.sc.ing Kārlis Ketners + Professor (elected)

7. Dr.sc.ing. Ņikita Nadežņikovs + Assoc. professor (elected)

8. Dr.sc.ing. Marija Iltiņa + Docent (elected)

9. Dr.sc.ing Modris Dobelis + Professor (elected)

10. Dr.sc.ing Agris Ņikitenko + Docent (elected)

11. Dr.habil.sc.ing Zigurds Markovičs + Professor (elected)

12. Dr.habil.sc.ing. Anatolijs Jemeļjanovs

+ Professor (elected)

13. Dr.paed. Viktors Bonders + Assoc. professor

14. Dr.sc.ing Vjačeslavs Šitikovs + Assoc. professor

15. Dr.soc.Gunārs Ozolzīle + Assoc. professor

16. Sandra Gudzuka - Docent (pract.)

17. Dr.oec. Ronalds Taraškēvičs + Professor (elected)

18. Dr.oec. Elīna Gaile-Sarkane + Professor (elected)

19. Dr.oec. Jānis Zvanītājs + Professor (elected)

20. Dr.oec. Zoja Sundukova + Assoc. professor

21. Dr.philol. Larisa Iļjinska + Assoc. professor

22. Ludmila Derkača - Lecturer

23. Valentīna Lauzniece - Lecturer

24. Ilona Dzenīte + Docent

25. Dr.habil.chem. Valdis Kampars + Professor (elected)

26. Dr.math. Inta Volodko + Professor (elected)

27. Dr.habil.phys.Artūrs Medvits + Professor (elected)

28. Dr.sc.ing. Jurijs Lavendels + Professor (elected)

29. Dr.habil.sc.ing. Aleksandrs Glazs + Professor (elected)

30. Dr.sc.ing. Ilmārs Iltiņš + Assoc. professor

31. Dr.math. Jevgēnijs Carkovs + Lead Researcher (elected)

32. Dr.math. Kārlis Šadurskis + Professor (elected)

33. Dr.habil.sc.ing. Jānis Vība + Professor (elected)

34. Dr.sc.ing Uldis Sukovskis + Vice-Rector for Academic Affairs

35. Dr.habil.sc.comp. Valerijs Zagurskis + Assoc. professor (elected)

36. Dr.oec. Ludmila Vasiļjeva + Assoc. professor

37. Dr.oec. Liena Adamsone + Lead Researcher

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No. Name, surname Have PhD Basic employment in RTU

38. Dr.habil.sc.ing. Ivars Raņķis + Professor (elected)

Academic personnel with doctor degree:

Total Number of Conductors

With habilitate doctor degree

With doctor degree

Together with doctor degree

Total (%)

38 10 25 35 92%

Basic employment at RTU and elected:

Total Number of Conductors

Basic employment at

RTU

Basic employment at

RTU elected

Basic employment at

RTU (%)

Basic employment at RTU elected (%)

38 38 24 100% 63%

Academic positions at RTU (elected):

Total Number of Teaching Staff

Professors Assoc. professor Docent Others

38 15 4 2 3

8.2 Academic personnel qualification’s compliance with the objectives

Study programme has a specific place in the field of engineering - robotics that essentially

combines three different areas: mechanics, electronics and software development.

Therefore it makes the implementation of the programme relatively more complicated from

an organizational point of view, as well as from the studying point of view.

Neither RTU nor other Latvian universities has a department that would be capable of

providing the knowledge and skills of all three key areas. Given the RTU vast experience in

the field of engineering, by combining the knowledge of three faculties, it is able to provide

the necessary knowledge and skills. To achieve this, within the study programme several

institutions cooperate to provide specific areas of expertise:

Department of Systems Theory and Design, Faculty of Computer Science and Information Technology, RTU

Department of technology of computer networks and systems, Faculty of Computer Science and Information Technology, RTU

Department of Engineering mathematics, Faculty of Computer Science and Information Technology, RTU

Institute of Power Electronics and Electrical Engineering, Faculty of Power and Electrical Engineering , RTU

Department of Theoretical Mechanics, Faculty of Transport and Mechanical Engineering, RTU

As mentioned above 92% of all academic staff has a doctor degree, 29% of them has a

habilitate doctor degree degrees. Whole academic staff is active in science, study process

administration, as well as other organizational activities. This reflects the high academic

qualifications of academic personnel and its compliance with the study objectives.

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8.3 Academic personnel’s policy for the next 6 years

Despite the fact that currently the academic staff is highly professional and experienced, in

the course of the next six years part of the experienced teachers will possibly go on

retirement. Therefore an active work must be done to involve younger employees in the

implementation of study programme.

In addition there is a need to attract lecturers from other universities, as well as engage the

existing staff in the implementation of prestigious foreign university programmes. The main

focus will be put on expansion of the existing co-operation with the University of Tartu to

ensure regular exchange of lecturers and students, and in due time offering module type

studies in English.

This is part of the RTU and Institute of Applied Computer Systems improvement policy.

The main short term personnel development activities are the following:

To continue working with the existing staff, that is experienced, professional and

active in science, as long as possible, thus facilitating the improvement of both

students and the younger staff;

To facilitate the involvement of young employees in the study programme

implementation, by offering them to organize the practical, laboratory and study

work, as well as to actively participate in the improvement of the course contents;

To expand the existing cooperation with foreign educational institutions;

To gradually switch to studies in English and to introduce the module type studies,

that would also contribute to staff development and professional growth;

9 Financing sources and provision of the infrastructure

The study programme has received budget places according to the existing order in RTU.

According to it, the departments that implement the study programme are funded according

to their contribution (number of hours) in the programme implementation. Tuition fees that

are received for paid studies are also divided between departments according to the

contribution.

The funding for attracting the students, as well as for the exchange of experience with the University of Tartu has been received from the Interreg collaboration project in Est-Lat programme "ICT-DCNet". It provides the necessary funds for balancing process of the programmes and publicity. The material technical base accessible for students is indicated in the Appendix 1. In addition

to that, the students have access to the RTU Scientific Library, which provides access to

literature, international scientific papers and monographs, thus allowing qualitatively

improving their skills and engaging in scientific work.

The study programme is implemented by departments listed below by using equipment

accessible to them:

Department of Systems Theory and Design, Faculty of Computer Science and Information Technology, RTU

Department of technology of computer networks and systems, Faculty of Computer Science and Information Technology, RTU

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Department of Engineering mathematics, Faculty of Computer Science and Information Technology, RTU

Institute of Power Electronics and Electrical Engineering, Faculty of Power and Electrical Engineering , RTU

Department of Theoretical Mechanics, Faculty of Transport and Mechanical Engineering, RTU

Department of Occupational and Civil Defence, Faculty of Engineering Economics and Management, RTU

Department of Entrepreneurship and Human Resources Management, Faculty of Engineering Economics and Management, RTU

Department of Organisation of Production and Entrepreneurship, Faculty of Engineering Economics and Management, RTU

Department of Economics of Production and Entrepreneurship, Faculty of Engineering Economics and Management, RTU

Department of Social Science, Humanitarian Institute, RTU

10 External relations

10.1 Collaboration with employers

Currently, the study programme is involved with the following cooperation partners:

Latvian IT Cluster (unites Latvian IT sector companies operating in export markets) is

a partner in the project "ICT-DCNet". In this partnership also another project has

been submitted - Interreg Northern Region co-operation project for the

Development and improvement of E-learning environment.

iRobot representative in Latvia SIA “Terra Virtuala” is a partner in the ERDF co-

financed research project "Development of intelligent multiagent robotics system

technology". Together with this enterprise robotics competition “Robotika” as well

as motivational and educational seminars for students are organized each year. In

addition, a contract is signed about the definition of topics and development of

thesis.

ABB Latvija has delivered and installed an industrial robot, as well as performed staff

training at a reduced price in the context of cooperation.

„Arcus electronika” has set up SCADA and system design samples, as well as

automation stands for the learning of the technology in the study process.

Thanks to the successful cooperation in public events, a special price treatment is

obtained for the purchase of the necessary components for student work from

enterprises SIA “Argus”, YEInternational and others. These enterprises are regular

supporters of robotics competitions and their support motivates both the involved

staff and participating students.

Association “Robotikas klubs” and association “Studentu parlaments” jointly with

the students have organized the Technical Innovation days for the past two years.

The sponsor of the event is the Latvian Investment and Development Agency. In the

november 2011 a three year duration cooperation contract was signed, thus clearly

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indicating the mutual interest of both promoting the engineering as a whole and

attracting the students to the particular study programmes.

SIA Novakontus - a second level project application for the ERDF activity 2.1.1.3.1

about the development of simulation center in Latvia was jointly submitted.

SIA DEAC - a second level project application for the ERDF activity 2.1.1.3.1 about

the development of High Performance Computing center in Latvia was jointly

submitted.

10.2 Collaboration with other universities

The key cooperation partners are:

University of Tartu (Estonia): Together the above mentioned cooperation project

“ICT DCNET” is being implemented to attract the students and to improve the study

programmes in the field of robotics and electronics. In parallel, a joint application for

Interreg project (project application will be considered at the beginning of year

2012) has been submitted. Within the project joint robotic seminars in Latvia and

Estonia are being organized and an intensive exchange of experience is being carried

out.

University of Rostock (Germany): a project supported by the Baltic-German

Universities Development Office “Summer School” has been jointly implemented.

Thanks to the good co-operation it has been decided to implement a similar project

next year. Project funders have stressed that this has been one of the best realized

and documented projects.

Ventspils University, University of Latvia and the Institute of Electronics and

Computer Science: partners in the creation of the National Research Centre within

the ERDF 2.1.1.3.1 activity.

Latvian University of Agriculture: Together the ERDF project "Development of

intelligent multiagent robotics system technology" implementation is being carried

out.

11 Continuation of studies in the case of study programme

cancellation

The faculty of Computer Science and Information Technology, RTU approves that if

Intelligent Robotic Systems (DBR0) is cancelled students will be able to continue their studies

in study programme Computer Systems (DBD0) (Appendix 2).

12 Development plan of the study programme

12.1 SWOT analysis

S W

The programme is modern and corresponds to the newest trends in industrial automation and robotics;

Relatively small count of students;

A lot of new study courses, that have never been taught in Latvia before;

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Students evaluate the programme mostly positively and highly;

Well developed and highly utilized material technical base;

Highly qualified and experienced academic personnel;

Intensive international cooperation in scientific and study programme improvement sense;

The cooperation of different departments facilitates the improvement of academic personnel;

Programme is being popularized in large part of Latvia together with academic bachelor study programme;

Programme requires a complicated planning, because the personnel from several departments is involved. Sometimes it causes inconvenient study schedule;

There are relatively few robotics production enterprises in Latvia - there are a lot of enterprises that services corresponding automation devices. Therefore it is much harder to motivate students than in other fields, for example, in IT.

Programme is more complicated than other master level programmes because several specializing courses include a lot of specific mathematic methods. Therefore students require a special motivation;

O T

To organize programme popularizing events more often and to organize events for student motivation;

To extend the material technical base of studies;

To increase the international cooperation and cooperation with Latvian enterprises to additionally motivate the personnel and students, as well as to attract the funds for the implementation of the programme;

Continue to motivate current students with an active collaboration between bachelor and master students, such interesting to study harder;

To popularize more actively scientific achievements in robotics that would motivate the students to choose this study programme.

The complexity of study programme can cause the insufficient count of students for successful development of the study programme in future;

The decrease in government funding or the change of funding form can significantly reduce the count of students in the programme or even stop the programme;

The “generation change” of personnel is still slow that can cause the lack of lecturers in the next 5-10 years.

12.2 Activities for development of the study programme for the next 6 years

No. Tasks Deadline/indicator

1. After accreditation, continue cooperation with the University of Tartu, and regularly host students from later courses in Latvia.

Since 2014 autumn, at least 5 students from Estonia

2. Attract EU funding for further program development.

In year 2012/2013 one cooperation project for several years

3. From 2013 obtain funding for programme's active promotion in Latvian schools, using the open robot building workshops for pupils. It should be emphasized that, until now, there was not a regular source of funding.

From 2013 ensure at least 25 students every year.

4. Realize most part of specializing subjects in English. 2013. – 2015.

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5. Study subject of one semester organize in a module form and gradually move to the module type programme's organization.

2014. – 2016.

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Appendixes

1. Appendix – Materially technical basis / Laboratory (See Latvian documentation)

2. Appendix –Evidence of the possibility to transfer to another study programme in the

case of study programme’s cancellation (See Latvian documentation)

3. Appendix –List of the academic personnel which is involved in the study process (See

Latvian documentation)

4. Appendix –CV Curriculum Vitae (CV) of the academic personnel

5. Appendix – Descriptions of the study programme’s subjects

6. Appendix –List of the study programme’s subjects and responsible instructors (See

Latvian documentation)

7. Appendix –Summary of the academic personnel’s scientific activities (See Latvian

documentation)

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Appendix 4 –CV Curriculum Vitae (CV) of the academic

personnel

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Personal Data

Name surname Agris Nikitenko

Age 33

Gender male

Family status married

Education/ scientific affiliations

2006 Dr.ing.sc. Thesis title: “Development and implementation of hybrid intelligent

systems”

Practical part included developed robotic system.

2001 Mg.ing.sc Thesis title: “Hybrid intelligent systems”

1998 Bc.ing.sc. Thesis title: “Qualitative reasoning systems”

1995 Riga secondary school Nr.84

Courses

December 2008 Microsoft SharePoint administration 70-630

October 2007 Courses for PhD supervisors, Sagaadi, Estonia

June 2004 Labor safety courses. License num. 218

August 2002 Safety of Electric installation and appliances, exploitation rules. 3rd

category, license

num 1024.

June 2001 Dry construction. Certificate num. 0039

January 2001 „R&V” Ltd. English language courses. Advanced level – B (assessment)

Awards

2008. Acknowledgement of Riga Technical University for significant contribution in its

development.

2007. Acknowledgement for supervision of the best bachelor thesis of the year.

2007. Acknowledgement for supervision of the best master thesis of the year.

2006. Siemens award for the best PhD thesis of the year in Latvia.

Society

Since 2007 ACM member

Since 2007 IEEE member

Since 2006 RTU labor union member

Professional experience

2009. - .......... Vice dean of study affairs, Riga Technical university, Faculty of computer science and

information technology,

2006. - .......... Docent, Riga Technical university, Faculty of computer science and information

technology, Department of systems theory and design

Main Latvian projects:

Development of adaptive intelligent training and learning object system – project manager, ZP-2009/16

MoD funded project “Alkmaar class mine hunting simulation system development and implementation” - project manager, AM 2007 – 227

MoD funded project “Development of autonomous robotic platform” – project maanger AM 2007 – 052

„Development of autonomous robotic platform” – senior scientist, ZP 2007/07

„Development of intelligent plagiarism detection system” – researcher ZP 2006/06

„ Development of structure of autonomous intelligent system for operation in

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complex environments” project manager ZP2006/04 Main international project:

FP7 project ERA-NET ICT-AGRI, Latvian team coordinator assistant

FP7 project BONITA responsible for Latvian demo center’s robotic system.

ICT-DcNET - ERDF supported project - researcher

“Development of multiagent robotic system technology” ERDF supported project – project manager;

“Development of intelligent smart grid control system” ERDF supported project – researcher;

2008. Project evaluation expert in Latvian Ministryof Econominc

2008. Project evaluation expert in Latvian agency of investments and development

2002 – 2007. “ZZDats” Ltd. System analyst and project manager

Main projects:

Implementation of e-services in Riga city council – system analyst.

Riga city council mobile GIS development – project manager;

Riga city council unified IS current state assessment in cooperation with Microsoft Latvia Inc.

State agency “Household agency” – Household monitoring system development – project manager;

State agency “Household agency” – Household monitoring system specification development – project manager;

Riga city council GIS interface development with other systems – project manager;

Riga city council e-services specification development – system analyst;

2005. – 2006. Scientific assistant in Riga Technical university, Faculty of computer science and

information technology, Department of systems theory and design.

1999 - 2002 “Balta” Ltd. IT specialist and system administrator (1 domain server + 1 net server + 27

workstations)

Responsible for inner IT systems development

1999 - .... “Rembox” Ltd. IT specialist and systems developer.

1997 - 1999 “Rembox” Ltd. Construction team leader.

Languages Spoken Comprehension Written

Latvian Native Native Native

Russian Very good Very good Good

English Very good Very good Very good

Programming languages Skill level Experience

Delphi Professionally 8 years

SQL Professionally 8 years

PL/SQL Very good 3 years

VBA Very good 2 years

HTML, Vbscript, Javascript Very good 1 years

Assambler Good -

Pascal Good -

Prolog Good -

C / C++ Good 3,0 years

C # Professionally 4.0 years

XML Good 2,5 years

Basic X Good 2,5 years

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Visual Basic .NET Good 2,5 years

Operating systems Skill level User Experience Administration Experience

Windows 7.0 Professionally 0,5 years 0,5 years

Windows NT server Professionally 3 years 3 years

Windows 2000 Professionally 4 years 4 years

Windows 9.x Professionally 3 years 3 years

Windows XP Professionally 5 years 5 years

MS DOS 6.x Very Good 1 year -

Social activities

2009. Organizing chair of ADBIS 2009 international scientific conference

2009. - ..... Representative of Latvian Academy of Sciences in FP7 project ICT-Agri

2009. - ..... NATO RTO, AVT panel Latvian representative and panel member

2008. - .... Coordinator of Baltic robot competitions (www.balticrobotsumo.org);

2007. - ... IADIS conference series program committee member

2007. - ..... Coordinator of Latvian robotic contest (www.robotika.lv );

2007. Coordinator of Robotic club of Riga Technical University;

Scientific Publications

1. A.Nikitenko, J. Grundspenkis, Combining of inductive, deductive and case-based reasoning: towards

the development of hybrid intelligent system. Scientific Proceedings of Riga Technical University: 5th

series “Computer science, Applied Computer Systems”, Riga, RTU Publishing, 2001, Vol. 8, p. 116 – 123.

2. A.Nikitenko, J.Grundspenkis, The kernel of hybrid intelligent system based on inductive, deductive and

case based reasoning. KDS2001 Conference Proceedings, St. Petersburg, 2001, p. 138. – 146.

3.

A.Nikitenko, The structure of an intelligent system for complex environments. Proceedings of Riga

Technical University: 5th series “Computer science, Applied Computer Systems (Special Issue)”,

Doctoral consortium, The 11th

International Conference on Information Systems Development, Riga,

RTU Publishing, 2002, Vol. 9, p. 46 - 52.

4. A.Nikitenko, Inductive reasoning algorithms from the perspective of autonomous intelligent systems.

Scientific Proceedings of Riga Technical University: 5th series “Computer science, Information

Technology and Management Science”, Riga, RTU Publishing, 2003, Vol. 14, p. 10 – 17.

5. A.Nikitenko, A proposed structure for knowledge based hybrid intelligent systems for sophisticated

environments. Varna, Bulgaria, KDS 2003 Conference Proceedings, 2003, Vol. 1, p. 25 – 31.

6. A.Nikitenko, Robot Control Using Inductive, Deductive and Case Based Reasoning. Varna, Bulgaria, KDS

2005 conference proceedings, 2005, Vol. 2, p. 418 - 427.

7. A.Nikitenko, Intelligent Agent Control Using Inductive, Dedudctive and Case Based Reasoning. Riga,

Latvia, ECMS 2005 Conference Proceedings, 2005, p. 486 - 492.

8. A.Nikitenko, Autonomous intelligent agent control in complex environments, Barcelona, Spain, EMSS

2006 Conference Proceedings, 2006, p 251 – 260.

9. A.Nikitenko, Knowledge-based robot control, Varna, Bulgaria, KDS 2007 Conference proceedings,

2007, vol. 2, p.487 – 500.

10. A.Nikitenko, Autonomous robot navigation using knowledge-based control unit, Tallinn, Estonia, REM

2007 Workshop proceedings, 2007, p. 93. – 98.

11. L.Sudraba, A.Nikitenko, „Application of mapping methods for solving navigation tasks of autonomous

intelligent system„ – referāts RTU 48. starptautiskajā konferencē, Rīgā, 2007. gada oktobrī

12. A.Nikitenko, „Autonoma robota modelis” Militārais apskats, nr. 3/4, 2008. gada decembris, 89. – 96.

lpp.

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13. M.Vanags, A.Nikitenko, M.Ekmanis, I.Andersone, I.Birzniece, G.Kulikovskis „Service oriented mine

hunting classroom simulation system” proceedings of the 4th International scientific conference on

Applied information and communication technologies, p. 95. – 101., Jelgava, Latvia, 2010.

14. A.Nikitenko, G.Kulikovskis, „Eight wheel robotic platform and its Fuzzy control system” proceedings of

International conference on automation, robotics and control systems, p. 16. – 23. Orlando, USA, 2010.

Exhibitions and other publications

1. October 2008. „Baltic defense and industry”, Tartu, Estonia – stand demonstrations

2. September 2009. „Baltic defense and industry”, Riga, Latvia – demonstration of project results

3. 2009. and 2010. Exhibition of Latvian new and innovative technologies – poster sessions.

Patents

1. Latvian patent application P-07-73 since 27.06.2007. „Eight wheel robotic platform” Patent Nr.

LV13866, Published 20.05.2009.

2. Latvian patent application P-09-118 since 29.06.2009. „Tracked robotics platform with moving track

segment” Patent Nr. LV14016B, Published 20.01.2010

3. Latvian patent application P-09-119 since 29.06.2009. „ Eight wheel robotic platform with tracks”.

Patent Nr. LV14017B, Published 20.01.2010

4. Latvian patent application P-11-100 since 21.07.2011. „ Eight wheel robotic platform with low chassis

rotation centers”

5. Latvian patent application P-11-101 since21.07.2011. „ Eight wheel robotic platform with additional

springs”.

Supervised master thesis

1. Ilze Andersone “Closed space exploration with multiple robots”

2. Ilze Birzniece „Use of inductive methods for object recognition”

3. Aivis Buss „Investigation of robots SLMA methods”

4. Oskars Gavrisevs „Topic information web search based on ontologies”

5. Agnis Melits „Service – oriented architectures for robot control”

6. Ivo Melkus „Latvian handwritten letter recognition using hybrid intelligent system”

7. Jelena Girdo „Design of personal training system for CMMI 3rd

level certificate acquisition after ISO

9001:2008”

Supervised PhD thesis

1. Ilze Andersone „Development and implementation of hybrid map fusion mechanism”

2. Aivis Buss „Development of self-localization mechanism for multi robotic system”

Supervised study courses

1. Windows Workflow Foundation technology basic

2. Intelligent system design methods

3. Fundamentals of autonomous robotic systems

4. Robot control system development project

5. Machine learning

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6. Intelligent robot motions planning

7. Autonomous systems and robots

8. Fundamentals of robot modelling

9. Data mining

10. Modern robotic systems

11. Programming Microsoft Office SharePoint

Supervised study programs

1. “Intelligent robotic systems” – bachelor level

2. “Intelligent robotic systems” – master level

A.Ņikitenko ___________________

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LIFE AND WORKING ACTIVITIES

PERSONAL DETAILS: ______

Name: Viktors Bonders

Info: associate professor of RTU

Age: 57

Birth-date: 1954. gada 12. decembris

Gender: Male

Birth-place Latvia

Inhabitation: Remberģu 11, Ādaži

RAISING OF QUALIfFICATION ______

29.03. – 03.07. and 24. – 27.10.1998. in Tartu and Kaunas „Miometrical diagnostic”

(certificate Nr. 1113)

01. - 04.03.2006. International trainer seminar (in Moscow)

SCIENTIFIC DEGREES ______

Doctor of sports pedagogy, G – D Nr. 000037, spec. physical education

THESIS' TOPIC _______

“The biomechanics in sports”

“Sport pedagogy”

LANGUAGES

Russian – mother tongue

Latvian – fluent

German – good

PUBLICATIONS

Total number of main international publications: 4

Total number of scientific articles: 17

PEDAGOGICAL WORK

Practical activity: athletic trainer

Pedagogical work: associate professor of RTU

OTHER INFORMATION ________

Activities: head of Sport department

athletics councillor of Riga Council sports department

LASS member of the board

LVS member of the board

V. Bonders

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Curiculum vitae

1. Given name, surname: Viesturs Bražis 2. Personal ID: 200876 - 10504 3. Place of birth: Dobele, Latvija 4. Home address: Kalētu iela 20, Rīga, LV-1004 5. Place of occupation: Riga Technical university (RTU), Faculty of Power and

Electrical Engineering, Institute of Industrial electronics and electrotechnics, Kronvalda bulv. 1-207, LV1050

6. E-mail: [email protected] 7. Phone: 67089915 8. Educational qualifications: 2000-2005 RTU, Institute of Industrial electronics

and electrotechnics, Dr.Sc.ing. Degree

1997-2000 RTU, Institute of Industrial electronics

and drives, Master’s Degree;

1994-1997 RTU, Institute of Industrial electronics

and drives, Bachelor’s Degree;

1991-1994 Riga Secondary Shift School No. 9;

1982-1991 Dobele 1st Secondary School.

9. Work experience: 2009 - RTU, Institute of Industrial electronics and

electrotechnics - Associated profesor;

2006-2009 RTU, Institute of Industrial electronics and

electrotechnics - Docent;

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2006 - RTU, Institute of Industrial electronics and

electrotechnics – Senior researcher;

2000-2006 RTU, Institute of Industrial electronics and

electrotechnics - Assistant;

10. Educational experience: Basic Electrotechnology and Electric Supply.

Basics of Regulation Theory.

Basics of Production Systems Automation.

Design of Power Electronics Systems.

11. Scientific activities and interests: Electrical drive and automation 12. Publications:

1. Brazis V., Zaleskis G., Latkovskis L., Grigans L. Traction drive load simulator

// Proceedings of The 52nd Annual International Scientific Conference of Riga

Technical University on Power and Electrical Engineering - Riga, Latvia: 14

October 2011. – R11010403 on CD-ROM.

2. Brazis V., Zaleskis G., Latkovskis L., Grigans L., Sirmelis U. Simulation of

the Light Railway Traction Drive with Energy Storage System // Proceedings

of The 52nd Annual International Scientific Conference of Riga Technical

University on Power and Electrical Engineering - Riga, Latvia: 14 October

2011. – R11010404 on CD-ROM.

3. Brazis V., Latkovskis L., Grigans L. Simulation of trolleybus traction

induction drive with supercapacitor energy storage system// “Latvian journal

of physics and technical sciences”. – 2010. – issue 5. (vol.47)–p. 33.-47.

4. Latkovskis L., Brazis V. and Grigans L. Simulation of On-Board

Supercapacitor Energy Storage System for Tatra T3A Type Tramcars. Chapter

14 in the In-tech book „Modeling, Simulation and Optimization”. - Vienna,

2010, pp. 307-330.

5. Antonovičs U., Bražis V., Greivulis J. The Mechanical Transient Process At

Asynchronous Motor Oscillating Mode // RTU zinātniskie raksti. 4. sēr.,

Enerģētika un elektrotehnika. - 25. sēj. (2009), 23.-26. lpp.

6. Brazis V., Gorobetz M., Latkovskis L., Grigans L., Levchenkov A.

Optimization Of Energy Consumption For Light Rail Electric Transport With

Supercapacitor System Using Neural Network Controllers// Proceedings of

ITELMS 2009, –Panevėžys, KTU, 4-5 June 2009, - p. 118.-126.

7. Bražis V., Greivulis J. Application Of Supercapacitor Energy Storage Devices

In Induction Drives// Proceedings of 8th

International Scientific Conference

„Engineering for Rural Development” –Jelgava: LLU, 2009. - p.328.-333.

8. Бражис В.Э., Грейвулис Я.П., Рыбицкис Л.С. Устройство пуска тягового

двигателя постоянного тока с сверхконденсаторным накопителем//

«Высокие технологии, фундаментальные и прикладные исследования,

промышленность». Сб. трудов шестой международной научно-

практической конференции «Исследование, разработка и применение

высоких технологий в промышленности» -Санкт-Петербург:

Издательство Политехнического университета, 2008. – с. 244.-249.

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9. Bražis V., Greivulis J. The Application Of Supercapacitor Energy Storage Devices In

DC Drives// Proceedings of 7th International Scientific Conference „Engineering for

Rural Development” –Jelgava: LLU, 2008. - p.76.-80. 10. Latkovskis L., Bražis V. Simulation of regenerative energy storage with

supercapacitors in Tatra T3A type trams // Proceedings of 10th International

Conference on Computer Modelling and Simulation Eurosim/UKSim2008. -2008.-

p.398.-403. 11. Bražis V., Greivulis J. Ieskats žurnāla „Baltijas elektrotehnika” vēsturē//

“Humanitārās un sociālās zinātnes”, 8. sēr., 13. sēj. – Rīga: RTU, 2008. – 112.-115.

lpp. 12. Latkovskis L., Bražis V. Application of supercapacitors for storage of

regenerative energy in T3A tramcars// “Latvian journal of physics and

technical sciences”. – 2007. – issue 5.–p. 23.-33.

13. Bražis V., Greivulis J. Asinhronā elektropiedziņa ar pieres daļas tinumu

kondensatoru bremzēšanas režīmā// “Enerģētika un elektrotehnika”, 4. sēr., 20.

sēj. – Rīga: RTU, 2007. – 158.-163. lpp.

14. Bražis V., Greivulis J., Faļkovs V. Rīgas ielu dzelzceļu attīstības pirmsākumi//

“Humanitārās un sociālās zinātnes”, 8. sēr., 11. sēj. – Rīga: RTU, 2007. –

110.-118. lpp.

15. Bražis V., Gasparjans A., Greivulis J. The cage rotor induction motor drive

with frontal part winding and current inverter// “Enerģētika un

elektrotehnika”, 4. sēr., 18. sēj. – Rīga: RTU, 2006. – 50.-56. lpp.

16. Bražis V., Greivulis J. Asinhronā dzinēja ar pieres daļas tinumu enerģētisko

parametru optimizācija atkarībā no slīdes// “Enerģētika un elektrotehnika”, 4.

sēr., 13. sēj. – Rīga: RTU, 2004. – 88.-94. lpp.

17. Bražis V., Greivulis J. Asinhronās elektriskās piedziņas ar pieres daļas

tinumiem struktūrmezglu darbības īpatnības// Starptautiskā zinātniskā

konference „Modernās tehnoloģijas enerģijas ieguvei un efektīvai

izmantošanai”. – Jelgava: Latvijas lauksaimniecības universitāte, Tehniskā

fakultāte, Lauksaimniecības enerģētikas institūts, 2004. – 140.-144. lpp.

18. Brazis V., Gasparian A., Greivulis J. The asynchronous Electric drive with

frontal part winding// Proc. EPE-PEMC’2004. - Riga, Latvia: September

2004. - A74433 on CD-ROM.

19. Bražis V., Gasparjans A., Greivulis J. Asinhronā dzinēja ar frontālās daļas

tinumu mehānisko raksturlīkņu eksperimentāla pētīšana.// “Enerģētika un

elektrotehnika”, 4. sēr., 10. sēj. – Rīga: RTU, 2003. – 83.-89. lpp.

20. Бражис В., Гаспарян А.С., Грейвулис Я.П., Теребков А.Ф. Асинхронный

двигатель с удлинёнными лобовыми частями статорных обмоток в

электроприводе// Проблемы автоматизированного электропривода.

Теория и практика. - Харьков: 2003. - 212-215 c.

21. Bražis V., Greivulis J. Asinhronās mašīnas pieres daļas ekvivalentā

induktivitāte// 43. RTU studentu zinātniskās un tehniskās konferences

materiāli. - Rīga, 2002., 15. lpp.

22. Bražis V., Gasparjans A., Greivulis J. Aizvietošanas shēma asinhronajam

dzinējam ar pieres daļas tinumu// “Enerģētika un elektrotehnika”, 4. sēr., 7.

sēj. – Rīga: RTU, 2002. – 16.-21. lpp.

23. Simakovs A., Raņķis I., Bražis V. Elektrovilciena elektroenerģijas patēriņa

bilances novērtējums un uzlabošana// “Enerģētika un elektrotehnika”, 4. sēr.,

4. sēj. – Rīga: RTU, 2001. – 75.-79. lpp.

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24. Raņķis I., Bražis V., Simakovs A. Vilces dzinēju kombinētā slēguma efektivitātes novērtējums elektrodzinēju piedziņās. “Enerģētika un elektrotehnika”, 4. sēr., 2. sēj. – Rīga: RTU, 2000. – 73.-82. lpp.

25. Rankis I., Brazis V. Simulation of tramcar’s energy balance // Second International Conference “Simulation, Gaming, Training and Business Process Reengineering in Operations”. – Riga, Latvia, 2000. – p. 160.-163.

26. Zaļeskis G., Bražis V. Siltummezglu automātiskās vadības sistēma ar mikrokontrolleru // 51. RTU studentu zinātniskās un tehniskās konferences materiāli, R., 2010., 214. lpp.

27. Mikijanskis V., Bražis V. Moderno tramvaju vilces piedziņa // 46. RTU studentu zinātniskās un tehniskās konferences materiāli, R., 2005., 20. lpp.

28. Andersons A., Bražis V. Moderno trolejbusu vilces piedziņa // 46. RTU studentu zinātniskās un tehniskās konferences materiāli, R., 2005., 11. lpp.

29. Kulakovs P., Bražis V. Elektrisko vilcienu spēka sistēmas // 46. RTU studentu zinātniskās un tehniskās konferences materiāli, R., 2005., 18. lpp.

30. Reimanis L., Bražis V. Elektrovilcienu spēka daļas galvenās funkcijas // 45. RTU studentu zinātniskās un tehniskās konferences materiāli, R., 2004., 21. lpp.

31. Špons A., Bražis V. Liftu elektropiedziņa // 45. RTU studentu zinātniskās un tehniskās konferences materiāli, R., 2004., 24. lpp.

32. Bražis V., Greivulis J. Asinhronās mašīnas pieres daļas ekvivalentie parametri // 43. RTU studentu zinātniskās un tehniskās konferences materiāli, R., 2002., 22. lpp.

33. Bražis V., Greivulis J. Klasiskās metodes netradicionāls pielietojums difererenciālvienādojumu pētīšanā elektrotehnikā // 42. RTU studentu zinātniskās un tehniskās konferences materiāli, R., 2001., 24. lpp.

34. Bražis V., Raņķis I. Tramvaja kustības matemātiskā modelēšana // 41. RTU studentu zinātniskās un tehniskās konferences materiāli, R., 2000., 15. lpp.

35. Bražis V., Greivulis J. Lieljaudas asinhrono mašīnu darbības pamatprincipi ģeneratora režīmā // 40. RTU studentu zinātniskās un tehniskās konferences materiāli, R., 1999., 28.-29. lpp.

36. Bražis V., Greivulis J. Diferenciālvienādojumu kārtas pazemināšana elektrisko ķēžu aprēķinos // 40. RTU studentu zinātniskās un tehniskās konferences materiāli, R., 1999., 27. lpp.

37. Bražis V., Raņķis I. Elektropiedziņas PID regulatora optimizācija // 40. RTU studentu zinātniskās un tehniskās konferences materiāli, R., 1999., 29.-30. lpp.

38. Bražis V., Greivulis J. Lieljaudas asinhrono mašīnu darbības pamatprincipi dzinēja režīmā // 39. RTU studentu zinātniskās un tehniskās konferences materiāli, R., 1998., 3.-4. lpp.

39. Greivulis J., Bražis V. Diferenciālvienādojuma kārtas samazināšanas iespējas elektrotehnikas uzdevumos, Zinātniski praktiskā konference „Inženierproblēmas Lauksaimniecībā”, Jelgava, 2000.

40. Greivulis J., Bražis V., Doniņš J.: LV patents Nr. 13987 B LV patenta pieteikums “Asinhronā elektriskā piedziņa ar enerģijas uzkrājēju”. Patenti un preču zīmes, 2009. Nr. 4.

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41. Greivulis J., Bražis V. Greivulis J., Bražis V. : LV patents Nr. 13844 B “Līdzstrāvas virknes ierosmes dzinēja regulēšanas iekārta”. Patenti un preču zīmes, 2009. Nr. 4.

42. Greivulis J., Bražis V.: LV patents Nr. 13812 B LV patenta pieteikums “Līdzstrāvas virknes ierosmes dzinēja palaišanas iekārta”, Patenti un preču zīmes, 2009. Nr. 1.

43. Greivulis J., Avotiņš A., Bražis V.: LV patents Nr. 13730 B „Jūras viļņa enerģijas pārveidotāja iekārta”, Patenti un preču zīmes, 2008. Nr. 8.

44. Greivulis J.,Valeinis J., Bražis V.: LV patents Nr. 13474 B “Asinhrono dzinēju aizsardzības iekārta”, Patenti un preču zīmes, 2006. Nr. 10.

45. Greivulis J., Bražis V., Voitkāns J.: LV patents Nr. 13332 B “Asinhronā elektriskā piedziņa ar pieres daļas tinumu”, Patenti un preču zīmes, 2005. Nr. 10.

46. Bubnovs R., Greivulis J., Bražis V. LV patents Nr. 13057 B “Asinhronā elektropiedziņas kaskāde ”, Patenti un preču zīmes, 2003. Nr. 10.

47. Greivulis J., Bražis V.: LV patents Nr 12652 B “Sinusoidālas formas maiņsprieguma korekcijas iekārta”, “Patenti un preču zīmes”, 2001, Nr. 6.

48. Greivulis J., Bražis V., Bubnovs R.: LV patents Nr 12580 B “Asinhronā elektropiedziņa”, “Patenti un preču zīmes”, 2001, Nr. 1.

49. Ribickis L., Raņķis I.,Bražis V. „Elektrotransporta rekuperācijas iespējas Rīgas pilsētā”, Rīgas Domes zin.-tehn. Konferences materiāli, 2001, 4 lpp.

50. Bražis V. „Asinhronā elektropiedziņa ar pieres daļas tinumu un strāvas invertoru”, Rīga, RTU, 2005, 261.lpp. Promocijas darbs.

51. Bražis. V. „Asinhronā elektropiedziņa ar pieres daļas tinumu un strāvas invertoru”, Rīga, RTU, 2005, 28.lpp. Promocijas darba kopsavilkums.

52. Brazis V. „Asynchronous Electric Drive With Frontal Part Winding And Current Inverter”, Riga, RTU, 2005, 28. p. Dissertation.

53. Raņķis I., Bražis V. Elektrotehnoloģiskās iekārtas. R., 2007. 54. Raņķis I., Bražis V. Elektrotehnoloģiskās iekārtas. R., 2005. 55. Raņķis I., Bražis V. Elektrotehnoloģiskās iekārtas. R., 2002. 56. Raņķis I., Bražis V. Regulēšanas teorijas pamati. R., 2001. 57. Uzdevumi regulēšanas teorijas pamatos / I. Raņķis, A. Žiravecka, V.Bražis, R.,

RTU, 2004.g. 13. Total number of scientific works: 57 14. Patents: 9 15. Scientific projects:

1. FLPP-2009/21 „Optimization of energy consumption for induction traction drive with regenerative energy storages by intelligent control system” - manager;

2. ZP-2008/9 „Optimization of energy consumption for city rail electric transport by multi-layer hybrid trained neural networks” - manager;

3. ZP-2006/09 „Investigation of the regenerative energy supercapacitor accumulator”- manager;

4. 1571 pSAFECER 1.part – participation;

5. ERA-Net L7678 „Power Quality and Safety Requirements for People and Electrical Equipment in Smart Grid Customer Domain”- participation;

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6. FLPP-2010/32 „Ritošā sastāva jauno kustības vadības iekārtu drošuma testēšana avārijas situācijās” - participation;

7. ZP-2009/35 „Sliežu transporta intelektuālās vadības modelēšana neparedzētās situācijās ar imūnajām sistēmām”- participation;

8. ZP-2008/10 „Elektrotransporta intelektuālo vadības sistēmu modelēšana neparedzētu situāciju gadījumā” - participation;

9. ES 5. Frame project nr. 506513 „European Rail Research Network of Excellence” – participation;

10. R7382 "Elektriskā transporta sistēmas sarakstu teorijas uzdevumu risināšanas metožu modelēšana virtuālās laboratorijās" – participation;

11. R7208 „Maiņstrāvas elektronisko pārveidotāju virtuālo laboratoriju izstrāde” – participation;

12. ZP-2006/07 „Energotaupošu vadības metožu analīze un sintēze maiņstrāvas piedziņā, izmantojot mākslīgā intelekta tehnoloģijas” – participation;

13. LZP project Nr. 04.349 „Saistīto elektropiedziņu sistēmu vadība” – participation;

14. R7075 „Elektrotransporta apakšstacijas divvirzienu jaudas plūsmas elektromagnētiski savietojama kontrollera izveide” – participation.

16. Languages: Latvian, Russian, English

27.10.2011. V. Bražis

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Mr Ilmars Iltins

CURRICULUM VITAE

DOB: June 13, 1953

HOME ADDRESS:

56 Zalves Street, Riga LV-1046, Latvia

Cell phone No. 29239517

WORKPLACE

ADDRESS:

Riga Technical University, Faculty of Computer Science and Information

Technology, Chair of Engineering Mathematics, 1/4 Meža Street, Room 46, Riga,

LV-1007, Latvia, phone/fax No. 67089528/ 67089694

EDUCATION

AND ACADEMIC DEGREES

1993

1985

1979.-1982

1971-1976

Doctor of Science in Engineering (Dr. Sc. Ing) (Riga

technical University’s Promotion Council P-03,

Diploma B-D No. 000718).

Master of Technology (Lithuanian Academy of

Science, Institute of Power Industry Technical

Problems, Specialized Council K011.04.01, Diploma

TH Nr. 087294), theses “Dependance of coefficient

of diffusion on concentration of diffunding

substance”

Graduate Course, Riga Polytechnic Institute, Chair of

Special Courses in Higher Mathematics

Studies at Riga Polytechnic Institute, Faculty of

Automatics and Computer Engineering, specialty

„Application Mathematics”

WORK EXPERIENCE:

2007 – up to date Associated Professor at RTU Chair of Engineering Mathematics

2000. – 2007.

1995. – 2000.

1987.- 1995

1986. – 1987.

1984.- 1986.

1982. – 1984.

1978. – 1979.

1976. – 1978.

Professor Assistant at RTU Chair of Engineering Mathematics

Professor Assistant at RPI Chair of Operation Research.

Senior teacher at Chair of Special Courses in Higher Mathematics

Senior research associate at RPI Chair of Computing Technics.

Research associate at RPI Chair of Power Industry.

Engineer - mathematician at Bureau of Synthetic Insulation.

Engineer - mathematician at Research Institute of Standardization.

Engineer - mathematician at Ministry of Agriculture.

SCIENTIFIC GRANTS AND PROJECTS:

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1. Grant Nr. 01.0850 2. Grant Nr. 96.0527 3. Grant Nr. 01.0643 4. ESF project “Development of General Natural Sciences Multimedia

Educational Materials for Engineering Students of Technical Universities”, term 1.10.2005- 30.09.2008, contract No. 2005/ 0127/VPDI/ESF/PIAA/04/APK/3.2.3.2./0021/0007.

5. ESF project „Improving RTU Engineering Curricula and Research Quality and Accessibility with Modern ICT Solutions”, contract No. VPD1/ESF/PIAA/06/ APK/3.2.3.2./ 0061/0007.

6. ESF project „Improvement of Methodological and Technical Provision of General Courses Curricula”, contract No. 2006/0243/VPD1/ESF/PIAA/06/APK/ 3.2.3.2./0029/0098

7. ESF project No 2006/0243/VPD1/ESF/PIAA/06/APK/3.2.3.2./0029/0098.

SIGNIFICANT PUBLICATIONS:

1. Temkin A., Gerhards J., Iltins I. The Temperature Field of Cable Insulation. Scietific Proceedings of Riga Technical University. Series – Energetics and electrotechnic. ser. 4, vol 14, R., RTU, 2005, p. 94-99.

2. Iltins I., Iltina M. Calculating Dependence of Diffusion Coefficient on Concentration following Concentration Measurements in Initial Process Stage. Scientific Proceedings of Riga Technical University. Series – Computer Science, series 5, volume 29 (48), Riga, RTU, 2006, p. 111- 115.

3. M. Iltiņa, I. Iltiņš. Numerical Methods. Riga, RTU, 2002, p. 95, (new edition 2005) 4. Iltina M., Iltins I. Generalized Taylor Series and its Application for Calculating Convolution. Scientific

Proceedings of Riga Technical University. Series – Computer Science, series 5, volume 33 (49), Riga, RTU, 2007, p. 89- 93.

5. M. Iltina, I. Iltins. Calculation of Diffusion Process Nonlinearity According to Mass Measurements. Applied and Computational Mathematics. Second edition. Puerto De La Cruz, Tenerife, Canary Islands, Spain, 2008. p. 105- 109.

6. Iltins I., Iltina M. Determination of Heat Source Intensity inside a Plate.// Scientific Journal of RTU. 5. ser., Computer Science, - vol 45, 2010, p. 118-120.

7. I. Iltins, M. Iltina. Determination of Heat Source Intensity as per Temperature Measurements inside a Body under Transient Process. Mathematical Models for Engineering Science. Institute for Environment, Engeneering, Economics and Applied Mathematics. Puerto De La Cruz, Tenerife, Canary Islands, Spain, 2010. p. 99- 100.

8. M. Iltina, I. Iltins. Some Application of Generalized Taylor Series. Mathematical Models for Engineering Science. Institute for Environment, Engeneering, Economics and Applied Mathematics. Puerto De La Cruz, Tenerife, Canary Islands, Spain, 2010. p. 101-103.

TEACHING EXPERIENCE: 1. Mathematics (basic course). 2. Mathematics additional sections. 3. Numerical methods. 4. Theory of probability and mathematical statistics (Open

University).

MAJOR RESEARCH DIRECTIONS:

Direct and reverse thermal conductivity problems

PARTICIPATION IN SCIENTIFIC AND METHODOLOGICAL CONFERENCES (last

6 years):

1. I. Iltins, Temkins method of separation of variables. Riga Technical University’s 46th

International Scientific Conference, October 13 – 15, 2005, p. 27.

2. A. Temkin, J. Gerhards, I. Iltins. Temperature field of cable insulation. Riga Technical University’s 46th

International Scientific Conference, October 13 – 15, 2005, p. 43.

3. M. Iltina, I. Iltins, A. Kolyshkin, I. Volodko. Transient Method for Leak and Partial Blockage Detection in Pipelines. The Third International Conference of Applied Mathematics. Plovdiv, Bulgaria, August 12 – 18,

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2006, p. 126. 4. I. Iltiņš, M. Iltiņa. Analytical Solution of Diffusion Equation with the Simplest Non-linearity. Riga Technical

University’s 47th

International Scientific Conference, October 12- 14, 2006, p. 30. 5. M. Iltina, I. Iltins, I. Volodko. Temperature Field Created by Lasting Variable External Influence. The Fourth

International Conference of Applied Mathematics, Plovdiv, Bulgaria, August 12-18, 2007, vol. 2, p.218. 6. M. Iltiņa, I. Iltiņš. Generalized Taylor Series and its Application for Calculating Thermal Conductivity

Equation Solving. Riga Technical University’s 49th

International Scientific Conference, October 13- 15, 2008, p. 31.

7. M. Iltina, I. Iltins. Calculation of Diffusion Process Nonlinearity According to Mass Measurements. The 13th

WSEAS International Conference on Applied Mathematics. Puerto De La Cruz, Tenerife, Canary Islands, Spain, December 15-17, 2008. p. 105- 109.

8. M. Iltina, I. Iltins. Determining Temperature Conduction Coefficient as per Temperature Measurements at Variable Boundary Conditions. The 14

th International Conference. Mathematical Modelling and Analysis.

Daugavpils, Latvia, May 27-30, 2009. p. 33. 9. M. Iltina, I. Iltins. Calculation of Heat Exchange Coefficient on the Boundary of a Solid Body Using

Temperature Measurements inside the Body. The 8th

Latvian Mathematical Conference in Valmiera, April 9-10, 2010. p. 35.

10. M. Iltina, I. Iltins. Calculation of Heat Exchange Coefficient as per Temperature measurements inside a Solid. The 15

th International Conference. Mathematical Modelling and Analysis. Druskininkai, Lithuania,

May 26 -29, 2010, p. 31. 11. Iltins I., Iltina M. Determination of Heat Source Intensity inside a Plate.// Riga Technical University’s 51

th

International Scientific Conference, October 11- 15, 2010, p. 38. 12. I. Iltins, M. Iltina. Determination of Heat Source Intensity as per Temperature Measurements inside a

Body under Transient Process. International Conference on Mathematical Models for Engineering Science. Puerto De La Cruz, Tenerife, Canary Islands, Spain, November 30 – December 2, 2010. p. 99- 100.

13. M. Iltina, I. Iltins. Some Application of Generalized Taylor Series. International Conference on Mathematical Models for Engineering Science. Puerto De La Cruz, Tenerife, Canary Islands, Spain, November 30 – December 2, 2010. p. 101 – 103.

14. M. Iltina, I. Iltins. Determination of Thermal Conductivity Coefficient by using Temperature Field Projection in a Series along Boundary Condition Derivatives. The 16

th International Conference.

Mathematical Modelling and Analysis. Sigulda, Latvia, May 25 – 28, 2011, p. 56. 15. I. Volodko, M. Iltina, I. Iltins, V. Gosteine. Blackboard Learning System Application for Teaching

Mathematics. The 35th

International IGIP Symposium in Cooperation with IEEE/ASEE/SEFI, 2006-09- 18, Tallinn, Estonia, p. 76.

16. I. Volodko, M. Iltina, I. Iltins, V. Gosteine. Additional Opportunities for Teaching Mathematics by Means of Online Mathematical Courses. SEFI and IGIP Annual Conference 2007, Miskolc, Hungary, July 1-4, 2007. p. 23.

17. I. Iltins, M. Iltina. Teaching Numerical Methods with “Mathematica” at Riga Technical University. The 5th

WSEAS/IASME International Conference on Engineering Education (EE’08), Heraklion, Greece, July 22-24, 2008. p. 460.

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Curriculum Vitae

1. First Name, Last Name: Ilya Galkin

Birthday: 05/02/1973

Phone: +371 67089918

E-mail: – [email protected]

2. Scientific and Engineering Degrees

1990-1993, Riga Technical University (RTU), Faculty of Power and Electrical Engineering (EEF), Bachelor of Engineering Sciences in Electrical Engineering;

1993-1994, RTU, EEF, Engineer Diploma in Electrical Equipment;

1994-1996, RTU, EEF, Master of Engineering Sciences in Electrical Engineering;

1996-2001, RTU, EEF, Doctor of Engineering Sciences in Electrical Engineering.

3. Work Experience

1994, Railway depot „Zasulauks”, ;

1994-1999, Co Ltd “Lāsma”, engineer;

1996-1999, RTU, EEF, Laboratory Assistant;

1999-2001, RTU, EEF, Lecturer;

2001-2003, RTU, EEF, Docent;

2003-2009, RTU, EEF, Associate Professor and Leading Researcher;

2009-2011, RTU, EEF, Professor;

2009-2010, Tallinn University of Technology (Tallinn, Estonia), Guest Researcher;

2008, University of Chiba (Chiba, Japan), Guest Researcher.

4. Significant Publications

o Galkin I., Sokolovs A, „Comparison of Bus Bar Constructions for Matrix Converters”, Elect. Proceedings of IEEE International Symposium on Industrial Electronics ISIE2007 and paper abstract on page 66, Spain, Vigo, 2007 June 4-7.

o Galkin I., Sokolovs A., “Possible Design of Bus Bar Construction for Matrix Converter”, Electronic Proceedings of 9th international conference on Electrical Power Quality and Utilization – EPQU2007, Lecture session 4A – “EMC, Loads and Converters”, Spain, Barcelona, 2007 October 9-11.

o Sokolovs A., Galkins I., “Bus bar construction considerations for matrix converters in integrated AC drives”, Scientific Journal “Przeglad Elektrotechniczny” (“Electrical Review”), ISSN 0033-2097, Vol. 83, Nr. 10/2007, pages 108-111, 2007.

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o Vinnikov D., Laugis J., Galkin I., “Middle-Frequency Isolation Transformer Design Issues for the High-Voltage DC/DC Converter”, Proceedings of 2008 IEEE 39th Annual Power Electronics Specialists Conference, pages 1930 – 1936, Rhodes, Greece, June 15-19, 2008, ISSN: 0275-9306, ISBN: 978-1-4244-1667-7, INSPEC Accession Number:10155268, IEEE Digital Object Identifier: 10.1109/PESC.2008.4592226

o I. Galkin, A. Stepanov, L. Bisenieks, “Direct-current supply system with capability of an uninterruptible power supply”, Proceedings of the 11th Biennial Baltic Electronic Conference BEC2008, ISBN: 978-1-4244-2059-9, pages 301-304, Tallinn-Laulasmaa, Estonia, October 6-8, 2008.

o Galkin I., “Fundamentals of MSP430 Microcontrollers” (in Latvian, original data – Galkins I., “MSP430 mikrokontrolleru pielietošanas pamati”) Rīga, RTU Publishing House, 2009, ISBN 978-9984-32-460-9.

o Galkin I., Avotinsh A., Suzdalenko A., Ribickis L., “Comparison and Choice of Supply and Driver Unit for Power LED Luminary”, Scientific Journal of Riga Technical University, Series 4 , Special Issue (Volume 25) – Proceedings of the 50th International Conference of Riga Technical University (Latvia, Riga, September 21-26, 2009), ISSN 1407-7345, pages 137-140, Riga, RTU Publishing House, 2009.

o Galkin I., Suzdalenko A., “Analysis of the Actual Current Paths of an Integrated Matrix Converter”, Electronic Proceedings of 12th International Conference on Electrical Machines and Systems (ICEMS2009), Tokyo, Japan, November 15-18, 2009, ISBN 978-1-4244-5177-7, INSPEC Accession Number 11084437, IEEE Digital Object Identifier 10.1109/ICEMS.2009.5382851.

Date

Signature/Explanation

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Dzī ves un darba ga jums ( CURRICULUM VITAE)

Name, Surname: Aleksandrs Glazs

ID number: 070439-10402

Date of birth: April 7th, 1939

Place of birth: Riga, Latvia

Home address: Aglonas street 4 – 60, LV-1057, Riga, Latvia

E-mail: [email protected]

Phone: work - +371 67089542

home - +371 67254353

mob. - +371 29289793

Education:

Dr.habil.sc.ing., Diploma B-Dh N 00065 from February 19, 1993 issued by Riga Technical

University

Dr.sc.ing., Diploma DT N 01577744 issued by the Highest Attestation Commission, July

17, 1992. The Doctoral thesis “Parametrical and Structural Adaptation of Decision Rules

in Recognition Problems” defended in the Russian Academy of Science in Moscow on

May 21, 1992.

Candidate of Technical Sciences, Diploma MTN N 075963 01577744 issued by the

Highest Attestation Commission, April 26, 1971 – approved by Senate decision of Riga

Polytechnical Institute.

1966 graduated from Riga Polytechnical Institute, Faculty of Information Science and

Computer Engineering, Diploma CN 470560.

Academic titles:

Professor (Diploma N49, by Senate decision of the RTU, N455 from January 29, 2001).

Professor (certificate N 008, by Senate decision of the Latvian State Institute for Leading

Managers and Specialists of National Economy, April 23, 1992)

Full member of the Baltic Information Academy (Diploma BA N 0026 from September 18,

1996)

Assistant professor (certificate DC N 015222 by the Highest Attestation Commission,

October 5, 1977)

Work experience:

From 1999 Director of the Institute of Computer Control, Automation and Computer

Engineering, Faculty of Computer Science and Information Technology of Riga Technical

University (RTU)

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From 1997 RTU, Faculty of Computer Science and Information Technology

Professor, Head of the Department of Image processing and Computer Graphics

of the Institute of Computer control, engineering and technology

Professor of the Department of Decision support systems

1971-1997 Latvian State Institute for Leading Managers and Specialists of National

Economy

Head of Information Sciences and Computer Engineering department

Assistant professor

Languages:

Latvian, English, Russian

Scientific works:

The number of scientific works is greater than 150. During last 4 years (2008-2011):

1. A.Sisojevs, A.Glazs. An new approach of visualization of free-form surfaces by a ray

tracing method. // The 14th IEEE Mediterranean Electro technical Conference, May 5-7,

2008., 872-875 pp.,(iekļauta IEEE Xplore, Scopus datubāzēs).

2. K. Krečetova, A. Glazs Volume Estimation of Pathology Zones in 3D Medical Images //

IFMBE Proceedings. 4th European Conference of the International Federation for Medical

and Biological Engineering, Antwerp, Belgium, 2008, 617-620 pp., (iekļauta SpringerLink

datubāzē <www.springerlink.com>)

3. Smoļaninovs V., Glazs A. On one method to improve videoimage quality // Automatic

Control and Computer Sciences. - Rīga, Latvija, 2009. - 71.-80. lpp.,(iekļauts

SpringerLink datubāzē www.springerlink.com un pieejams internetā www.edi.lv)

4. Krečetova K., Glazs A., Platkājis A. Slimības diagnostika pēc datortomogrāfijas datiem //

RTU zinātniskie raksti. 5. sēr., Datorzinātne. - 39. sēj. (2009), 8.-14. lpp., (iekļauta

Ebscohost datubāzē <www.ebscohost.com>, sadaļā Computers & Applied Sciences

Complete, )

5. Sisojevs A., Krechetova K., Glazs A. 3D Modeling of Free-Form Object (Interpolation,

Visualization and Volume Estimation)// The 17th International Conference on Computer

Graphics, Visualization and Computer Vision WSCG'2009 proceedings. – Plzen: University

of West Bohemia, 2009. - 125 - 128 p. (Database: Thompson Reuters ISI. Publikācija

brīvi pieejama WSCG Digital Library, Internets: http://wscg.zcu.cz/DL/wscg_DL.htm)

6. Sisojevs A., Glazs A. Efficient approach to direct B–spline surface rendering by a ray

tracing// The 17th International Conference on Computer Graphics, Visualization and

Computer Vision WSCG'2009 proceedings. – Plzen, 2009. - 13 - 16 p. (Database:

Thompson Reuters ISI. Publikācija brīvi pieejama WSCG Digital Library, Internets:

http://wscg.zcu.cz/DL/wscg_DL.htm)

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7. Bolochko K., Glazs A. Contour Processing and 3D Visualization in Medical Images //

Biomedical Engineering. Proceedings of International Conference, 14th Annual

International Biomedical Engineering Conference, Lietuva, Kaunas, 28.-29.oktobrī., 2010,

216.-219. pp. (brīvi pieejama Kauņas Tehnoloģiskās universitātes Biomedicīnas

Inženierijas Institūta tīmekļa vietnē -

http://www.bmii.ktu.lt/en/conference/archive/bi2010)

8. Krechetova K., Sisojevs A., Glazs A., Platkajis A. Medical Image Region Extraction and 3D

Modeling Based on Approximating Curves// International Journal of Advanced Materials

Research. – Trans Tech Publications: Switzerland, 2011. – Vol. 222, – pp. 285 – 288.

(Database: Scientific.Net. Publikācija pieejama par maksu)

9. Bolochko K., Kovalovs M., Glaz A., Medical Image 3D Visualization by Vector Based

Methods // IADIS Multi Conference on Computer Science and Information Systems,

Computer Graphics, Visualization, Computer Vision and Image Processing, 24-26 July,

2011

Participation in Latvian Council of Science (LZP) research projects:

During the last 4 years (2008-2011) participated in 4 LZP research projects

LZP project Nr.09.1564 participant

LZP project Nr.09.1240 participant

LZP project Nr.05.1642 supervisor

LZP project Nr.01.0854 supervisor

Reading of lectures and seminars. Development of new disciplines:

DAA300. Fundamentals of Computer Graphics and Image Processing, 2 KP

DAA515. Computer Graphics, Pattern Recognition and Image Processing Methods, 4 KP

DAA402. Scene Analysis, 3 KP

DAA501. Computer Vision, 4 KP

DAA604. Modern Methods in Computer Graphics, Image Processing and Scene

Analysis, 8 KP

DAA603. Computational Methods in Research, 5 KP

DAA601. Pattern Recognition and Image Processing, 10 KP

Educational program development and management:

RDBF0 – Automation and Computer Engineering, bachelors academic studies

DMF0 – Automation and Computer Engineering, masters academic studies

DGF0 – Automation and Computer Engineering, professional masters academic studies

DDF6 – Automation and Computer Engineering, doctoral studies

Prepared study aids:

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The total number of prepared study aids is 14, of which prepared during the last 6 years (2004-2010):

A. Glazs. Fundamentals of Computer Graphics and Image Processing. (lecture notes, ORTUS),

118 lpp., 2010

A. Glazs. Graphic primitives creation algorithms. (electronic version), RTU, DITF, DADI, Riga,

26 lpp., 2004.

Professional societies:

Pattern Recognition Society (USA) member no 1997 g.

Member of Latvian Association of High School Professors

Member of RTU Senate

Member of the Council of Faculty of Computer Science and Information Technology

Member of doctorate council “RTU P-07”

Member of professor council in Information technology field

Member of RTU scientific works 5th series “Datorzinātne” thematic issue of “Datorvadības

tehnoloģijas” editorial board

2008, 2009 – international conference biomedical engineering scientific and program

committee member

Director of Institute of Computer Control, Automation and Computer Engineering

Supervisor of Image processing and Computer Graphics professor group

Awards:

2007, certificate from A/S "DATI" (AS „Exigen Services DATI”) and Latvian education

fund for training a qualified professional

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CURRICULUM VITAE Janis Grundspenkis

Personal Data Identity No.: 190642-10542 Place of birth: Riga, Latvia Date of birth: 19 June 1942 Place of residence: Saldus Street 3b-14, LV-1007, Riga, Latvia Education: 1993 Dr.habil.sc.ing., Riga Technical University 1992 Dr.sc.ing., Riga Technical University 1972 Candidate of technical sciences, postgraduate studies at RTU 1965 Electrical engineer, Riga Politechnical Institute (now Riga Technical University) 1949-1960 Riga 28th secondary school

Academic Positions and Degrees Dr.habil.sc.ing., professor, full member of Latvian Academy of Sciences

Employment 1994- Dean of Faculty of Computer Science and Information Technology (CSIT) of Riga

Technical University 1994- Director of Institute of Applied Computer Systems 1994- Head of the Department of Systems Theory and Design 1994- Professor of Systems Theory at Riga Technical University 1980-1992 Head of the Department of Automated Control Systems 1979-1994 Assistant professor at the Department of Automated Control Systems of the CSCE 1972-1979 Assistant and lecturer at the Department of Automated Control Systems of the CSCE 1968-1971 Doctoral student at Riga Politechnical Institute 1963-1968 Engineer at the Electromodelling laboratory of Faculty of Computer Science and

Computer Engineering (CSCE) of Riga Politechnical Institute (now Riga Technical University)

Area: Computer science and information technology Subarea: Systems analysis, modelling, and design Research projects: Leader/developer of 27 research projects. Leader of Latvian Council of Science projects 90.136 “Development of Expert System to Support Early Stages of Design of Technical Objects” (1991-1993), 93.586 “Intelligent System for Development of Structured Systems Analysis Methods and Tools” (1994-1996), 96.0489 “Intelligent Multi-Level Meta-Model Processing System for Construction of Structural Modelling Methods and Tools” (1997-2000), 01.0845 “Modelling of Intelligent Agent Co-operative work for Knowledge Management and Reengineering Purposes in Organizations” (2001-2004), 05.1644 “Integration of intelligent agent and knowledge management techniques for intelligent support of learning processes” (2005-2008), 09.1582 “Methods and Models Based on Distributed Artificial Intelligence and Web Technologies for Development of Intelligent Applied Software and Computer System Architecture” (2009-). Developer of EC FP6 project eLOGMAR-M “Web-based and Mobile Solutions for Collaborative Work Environment with Logistics and Maritime Applications” (2004-2006). Leader of ERDF project 2010/0258/2DP/2.1.1.1.0/10/APIA/VIAA/005 “Development of intelligent multiagent robotics system technology” (2010-). Research interests: Synthesis and analysis of complex technical system structural models for problem solving in early stages of design and technical diagnosis, methods and tools for the development of complex system structures, development of intelligent agent based systems for tutoring, robotics, business process management and logistics, integration of knowledge management and distributed artificial intelligence techniques.

Research and Publications Number of scientific publications: around 200, including the following chapters in books:

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Kirikova M. and Grundspenkis J. Using Knowledge Distribution in Requirements Engineering. Knowledge Based Systems. Techniques and Applications, vol. 1. (C.T. Leondes, Ed.), Academic Press, San Diego, USA, 2000, pp. 149-184. Grundspenkis J. and Mislevics A. Intelligent Agents for Business Process Management Systems. Infonomics for Distributed Business and Decision-Making Environments: Creating Information System Ecology (M. Pankowska, Ed.), IGI Global, 2009, pp. 97-131.

Presentations at international conferences and workshops: around 60 Patents and copyrights: none

Pedagogical Work Currently taught courses: Undergraduate studies: Discrete Structures for Computer Science, Methods of Systems Theory, Foundations of Artificial Intelligence, Introduction in Artificial Intelligence, Knowledge Representation and Processing Graduate studies: Artificial Intelligence, Systems and Process Theory Post-graduate studies: Structural Modelling, Advanced Methods of Computer Systems Design, Distributed Intelligent Systems Scientific seminars for graduates: Computer Systems Design, Computer Systems Design Methods Prepared study materials: Discrete Structures of Computer Science, Methods of Systems Theory, Foundations of Artificial Intelligence, Artificial Intelligence, Systems and Process Theory (all available on Internet) Supervised doctoral theses: Six doctoral theses have been supervised and defended: J. Tenteris (1986), V. Zulis (1988), M. Kirikova (1993), A. Nikitenko (2006), A. Anohina (2007), and E. Lavendelis (2009). At present 12 doctoral theses are worked out.

Organizational Work International scientific organizations: Member of the IEEE (Institute of Electrical and Electronics Engineers), IADIS (International Association for Development of Information Society). Associated member of IFAC (International Federation of Automatic Control), ECCAI (European Co-ordinating Committee of Artificial Intelligence), EUNIS (European University Information Systems Organisation), and SCSI (The Society for Computer Simulation International). Expert commissions: Chairman of expert commissions for evaluation and accreditation of study programmes in Computer Science and Information Technology in Latvia and Estonia. Conference organizing and program committees: Chairmen of the organizing committee of 11

th International Conference on Information Systems

Development (ISD 2002), 16th International Conference on Advanced Information Systems Engineering (CAiSE*04), general chair of 13

th International Conference on Advances in Databases and

Information Systems (ADBIS 2009), and International Conference on e-Learning and the Knowledge Society (e-Learning’10). Member of organising and international program committees of International Baltic Workshop on Data Bases and Information Systems (1994, 1996, 1998, 2000, 2002, 2004, 2008, 2008, 2010), Advances in Data Bases and Information Systems (ADBIS'95, ADBIS'96, ADBIS'97, ADBIS'98, ADBIS'99 ADBIS’00; ADBIS'03; ADBIS’09, Modelling and Simulation within Maritime Environment (1998), Simulation, Gaming, Training and Business Process Reengineering in Operations (2000), Conference on Advanced Information Systems Engineering (CAiSE*00, CAiSE*01, CAiSE*04, CAiSE*05), Information Systems Development (ISD 2002, 2003, 2004, 2005, 2009), 7th International Workshop on Harbour, Maritime & Multimodal Logistics Modelling and Simulation 2003, International Conference on Computer Systems and Technology (CompSysTech’2003, 2004, 2005), International Conference on Modelling and Simulation of Business Systems (2003), International Conference on Cognition and Exploratory Learning in Digital Age (CELDA 2008), IADIS International Conference on Intelligent Systems and Agents (ISA 2008), BIR 2009, and others. Editorial boards:

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Member of the editorial board of scientific journals "Automation and Computer Engineering" and Acta Universitatis Latviensis, Computer Science and Information Technologies. Editor of the Scientific Journal of Riga Technical University, 5

th Series: Computer Science, Applied Computer Systems.

Research management: Leader of 4 international and 14 national research projects.

Other Relevant Information In 2011 I am elected as president of Latvian Chapter of IEEE Computer Society.

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Mrs Marija Iltina

CURRICULUM VITAE

DOB: April 29, 1953

HOME ADDRESS:

56 Zalves Street, Riga LV-1046, Latvia

Cell phone No. 29239516

WORKPLACE ADDRESS: Riga Technical University, Faculty of Computer Science and Information Technology, Chair of

Engineering Mathematics, 1/4 Meža Street, Room 46, Riga, LV-1007, Latvia, phone/fax No.

67089528/ 67089694

EDUCATION

AND ACADEMIC DEGREES

1993

1988

1983-1985

1971-1976

Doctor of Science in Engineering (Dr. Sc. Ing) (Riga technical

University’s Promotion Council P-03, Diploma B-D No. 000719).

Master of Technology (Lithuanian Academy of Science, Institute

of Power Industry Technical Problems, Specialized Council

K011.04.01, Diploma TH No. 113973), theses “Determination of

Thermal Physical Properties by Using Measurement Results in

Cylindrical Field”

Graduate Course, Riga Polytechnic Institute, Chair of Special

Courses in Higher Mathematics

Studies at Riga Polytechnic Institute, Faculty of Automatics and

Computer Engineering, specialty „Application Mathematics”

WORK EXPERIENCE:

1990 – up to date Professor Assistant at RTU Chair of Engineering Mathematics

1985 - 1990

1980 - 1983

1976 - 1980

2003- 2007

Senior teacher at RTU Chair of Applied Mathematics

Assistant at RPI Chair of Special Courses in Higher Mathematics

Engineer at RPI Chair of Power Industry.

Lecturer at Riga International School of Economics and Business Administration

SCIENTIFIC GRANTS AND PROJECTS:

8. ESF project “Development of General Natural Sciences Multimedia Educational Materials for Engineering Students of Technical Universities”, term 1.10.2005- 30.09.2008, contract No. 2005/ 0127/VPDI/ESF/PIAA/04/APK/3.2.3.2./0021/0007.

9. ESF project „Improving RTU Engineering Curricula and Research Quality and Accessibility with Modern ICT Solutions”, contract No. VPD1/ESF/PIAA/06/ APK/3.2.3.2./ 0061/0007.

10. ESF project „Improvement of Methodological and Technical Provision of General Courses Curricula”, contract No. 2006/0243/VPD1/ESF/PIAA/06/APK/ 3.2.3.2./0029/0098

SIGNIFICANT PUBLICATIONS:

9. Iltins I., Iltina M. Calculating Dependence of Diffusion Coefficient on Concentration following Concentration Measurements in Initial Process Stage. Scientific Proceedings of Riga Technical University. Series – Computer Science, series 5, volume 29 (48), Riga, RTU, 2006, p. 111- 115.

10. M. Iltina, I. Iltins, A. Kolyshkin, I. Volodko. Transient Method for Leak and Partial Blockage Detection in Pipelines. The Third International Conference of Applied Mathematics. Plovdiv, Bulgaria, August 12- 18, 2006, p. 126.

11. Iltiņš, M. Iltiņa. Analytical Solution of Diffusion Equation with the Simplest Non-linearity. Riga Technical University’s 47

th International Scientific Conference, 2006, p. 30.

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12. M. Iltiņa, I. Iltiņš. Numerical Methods. Riga, RTU, 2002, p. 95, (new edition 2005) 13. Iltina M., Iltins I. Generalized Taylor Series and its Application for Calculating Convolution. Scientific Proceedings of

Riga Technical University. Series – Computer Science, series 5, volume 33 (49), Riga, RTU, 2007, p. 89- 93.

TEACHING EXPERIENCE: 5. Mathematics (basic course). 6. Mathematics additional sections. 7. Numerical methods. 8. Theory of probability and mathematical statistics (Open University).

MAJOR RESEARCH DIRECTIONS:

Direct and reverse thermal conductivity problems

PARTICIPATION IN SCIENTIFIC AND METHODOLOGICAL CONFERENCES (last 6 years):

18. M. Iltina, I. Iltins, A. Kolyshkin, I. Volodko. Transient Method for Leak and Partial Blockage Detection in Pipelines. The Third International Conference of Applied Mathematics. Plovdiv, Bulgaria, August 12 – 18, 2006, p. 126.

19. I. Iltiņš, M. Iltiņa. Analytical Solution of Diffusion Equation with the Simplest Non-linearity. Riga Technical University’s 47

th International Scientific Conference, October 12- 14, 2006, p. 30.

20. M. Iltina, I. Iltins, I. Volodko. Temperature Field Created by Lasting Variable External Influence. The Fourth International Conference of Applied Mathematics, Plovdiv, Bulgaria, August 12-18, 2007, vol. 2, p.218.

21. M. Iltiņa, I. Iltiņš. Generalized Taylor Series and its Application for Calculating Thermal Conductivity Equation Solving. Riga Technical University’s 49

th International Scientific Conference, October 13- 15, 2006, p. 31.

22. M. Iltina, I. Iltins. Calculation of Diffusion Process Nonlinearity According to Mass Measurements. The 13th

WSEAS International Conference on Applied Mathematics. Puerto De La Cruz, Tenerife, Canary Islands, Spain, December 15-17, 2008. p. 105- 109.

23. M. Iltina, I. Iltins. Determining Temperature Conduction Coefficient as per Temperature Measurements at Variable Boundary Conditions. The 14

th International Conference. Mathematical Modelling and Analysis. Daugavpils, Latvia,

May 27-30, 2009. p. 33. 24. M. Iltina, I. Iltins. Calculation of Heat Exchange Coefficient on the Boundary of a Solid Body Using Temperature

Measurements inside the Body. The 8th

Latvian Mathematical Conference in Valmiera, April 9-10, 2010. p. 35. 25. M. Iltina, I. Iltins. Calculation of Heat Exchange Coefficient as per Temperature measurements inside a Solid. The 15

th

International Conference. Mathematical Modelling and Analysis. Druskininkai, Lithuania, May 26 -29, 2010, p. 31. 26. Iltins I., Iltina M. Determination of Heat Source Intensity inside a Plate.// Riga Technical University’s 51

th International

Scientific Conference, October 11- 15, 2010, p. 38. 27. I. Iltins, M. Iltina. Determination of Heat Source Intensity as per Temperature Measurements inside a Body under

Transient Process. International Conference on Mathematical Models for Engineering Science. Puerto De La Cruz, Tenerife, Canary Islands, Spain, November 30 – December 2, 2010. p. 99- 100.

28. M. Iltina, I. Iltins. Some Application of Generalized Taylor Series. International Conference on Mathematical Models for Engineering Science. Puerto De La Cruz, Tenerife, Canary Islands, Spain, November 30 – December 2, 2010. p. 101 – 103.

29. M. Iltina, I. Iltins. Determination of Thermal Conductivity Coefficient by using Temperature Field Projection in a Series along Boundary Condition Derivatives. The 16

th International Conference. Mathematical Modelling and Analysis.

Sigulda, Latvia, May 25 – 28, 2011, p. 56. 30. I. Volodko, M. Iltina, I. Iltins, V. Gosteine. Blackboard Learning System Application for Teaching Mathematics. The

35th

International IGIP Symposium in Cooperation with IEEE/ASEE/SEFI, 2006-09- 18, Tallinn, Estonia, p. 76. 31. I. Volodko, M. Iltina, I. Iltins, V. Gosteine. Additional Opportunities for Teaching Mathematics by Means of Online

Mathematical Courses. SEFI and IGIP Annual Conference 2007, Miskolc, Hungary, July 1-4, 2007. p. 23. 32. I. Iltins, M. Iltina. Teaching Numerical Methods with “Mathematica” at Riga Technical University. The 5

th

WSEAS/IASME International Conference on Engineering Education (EE’08), Heraklion, Greece, July 22-24, 2008. p. 460.

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CURRICULUM VITAE

PERSONAL INFORMATION

First name, surname: Vladimirs Jemeļjanovs

E-mail: vladimirs.jemeljanovs@rtu. lv

LANGUAGE PROFICIENCY

Native tongue: Russian

Other languages: Latvian, German

EDUCATION

1997 - 2008

Riga Technical University

Dr.sc.ing.

1976 -1981

USSR Ministry of Internal Affairs

Moscow Higher Fire fighting Engineering School

Fire safety and fire fighting facilities and equipment

Engineer

1972 -1975

USSR Ministry of Internal Affairs

Leningrad Fire fighting Technical School

Fire safety and fire fighting facilities and equipment

Technician

SCIENTIFIC DEGREES

“Enhancement of internal fire safety water supply system efficiency in buildings”, 1997, Riga

Technical University, Dr.sc.ing.

PROFESSIONAL ADVANCEMENT

2005 Accreditation and competence assessment procedures. „Latvian national

accreditation bureau”

2004 „Basic Course in pedagogy”, Rushersberg, Sweden

2004 „System of results and resultant indices”, State Administration School

2004 Training Centre „Būts”, Professional advancement programme „Labour protection”

2004 University of Latvia, Institute of Pedagogy and Psychology, Further education

programme „Didactics of Higher Educational Establishments: contemporary theories and

practice”

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2003 „Strategy management”, State Administration School

2002 „European Union basic guidelines”, State Administration School

WORK EXPERIENCE

1999 - 2008 Riga Technical University, Assoc. professor

2002 - 2004 College of Fire Safety and Civil Defence, Director

1986 - 2002 LR Ministry of Internal Affairs, National Fire and Rescue Service, Deputy

Head

1984 - 1986 LR Ministry of Internal Affairs, Confinement Board, Head of Department

1981 - 1984 LR Ministry of Internal Affairs, Fire Fighting Board, Head of Department

1979 - 1981 LR Ministry of Internal Affairs, Fire Fighting Board, Training Centre, Deputy

Head

1975 - 1979 LR Ministry of Internal Affairs, Fire Fighting Board, 7th para-military fire

fighting department, Senior engineer

RESEARCH WORK AND PARTICIPATION IN RELEVANT ACADEMIC PROJECTS

2006 - 2007

Cross-border cooperation initiative in crisis management systems in neighbouring regions of

Latvia and Lithuania in 2005 – 2007, ERAF co-financing in cooperation with Jelgava City

Council, National Fire and Rescue Service, Riga Technical University, project manager on the

part of the RTU.

2007

Project of Ministry of Education and Science and RTU R7219 „ Scientific substantiation of

permissible fire risks in Latvia”, research associate.

2006 – 2007

RTU project No.28-2006/11 „Analysis of evaluating scientifically substantiated factors of

explosiveness and fire hazardousness”, project manager.

2006

Project of Ministry of Education and Sciences and RTU U7112”Development of methodology

for quantitative assessment of fire risks in educational establishments of Latvia”, research

associate.

2005

Examination and appraisal of fire damage causes in „A/s „ Komēta” ordered by Latvian Police

Authorities, criminal case No.1095139801, expert.

2001 -2002

Project 1 A 11 „Purchasing of special equipment for fire fighting and rescue operations”,

project manager.

Patents: No.11668, index A62C5/00”Fire fighting liquid”

No.11669, index A62D1/00 ”Fire fighting liquid”

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PUBLICATIONS

Scientific publications

1. V.Jemeļjanovs „Problems of classifying premises into categories taking into account

factors of explosiveness”/co-authors: J.Ievinš, A.Jemeļjanovs, J.Sulojeva,

M.Ziemelis//International scientific conference „Ecology and life safety of industrial and

transport enterprises ELPIT - 2007”, Togliatti, 20-23 September 2007, proceedings, vol.3,

pp.265-269 (in Russian).

2. V.Jemeļjanovs „Substantiation of permissible level of fire risks in Latvia”/co-authors:

J.Ievinš, A.Jemeļjanovs, J.Sulojeva, K.Didenko// International scientific conference „Ecology

and life safety of industrial and transport enterprises ELPIT - 2007”, Togliatti, 20-23

September 2007, proceedings, vol.1, pp.118-125 (in Russian).

3. V.Jemeļjanovs ”Detection of geometric parameters of dangerous zones due to gas, liquid

vapour and dust explosions”/co-authors: V.Edins, J.Sulojeva//International scientific

conference “Research problems of technogenic environment protection”, 30 March 2007,

RTU, Riga (in Latvian).

4. V.Jemeļjanovs „Assessment of technogenic safety of the city of Riga and its complex safety

in the future” /co-authors J. Ievinš, A.Jemeļjanovs, J.Sulojeva//International scientific

conference „Ecology and life safety ELPIT - 2007”, Togliatti, September 2005, The Samar

News (in Russian).

5. V.Jemeļjanovs „Optimization of fire fighting depots and community safety ”/co-authors:

N.Kabanovs, J.Sulojeva//International conference „Human rights and community safety”,

Riga, 26-27 August 2004, Latvian Police Academy, pp. 65-71 (in Latvian).

6. V.Jemeļjanovs „Main principles of calculating direct losses caused by fires”/co-authors:

J.Sulojeva, J.Puškina, K.Didenko//Economics and entrepreneurship/RTU scientific

proceedings, Riga, RTU, 2002, pp.81-88 (in Latvian).

7. V.Jemeljanovs „Optimization of the response time in Latvian State Fire and Rescue

Service.”/co-author A.Straume//International Ecological Symposium ”The Way Out from

Global Ecological Crisis” Saint-Petersburg, Russia, 2001, pp.263-264.

8. V.Jemeļjanovs „Assessment of economic and social losses due to fire damages”/co-

authors: J.Sulojeva, V.Kozlovs, K.Didenko//International scientific conference „Management

of an organisation. Regional aspects”, Kiev, 12-13 kvitnaju IBC. „Vigabnucno Politehnika„

2002, pp. 303-304 (in Russian and Ukrainian).

9. V.Jemeļjanovs „Innovative approach to assessment of losses caused by fires in rural

districts of Latvia”/co-authors: J.Sulojeva, A.Jemeļjanovs// Economics and

entrepreneurship/RTU scientific proceedings, Riga, RTU, 2001, pp.45-50 (in Latvian).

10. V.Jemeļjanovs „Assessment of Latvian Rescue Service Efficiency” 2nd World Congress of

Latvian scientists /co-authors: J.Sulojeva, E.Pālītis //Riga, 14 -15 August 2001,174 pp. (in

Latvian).

Teaching and methodological materials

1. V.Jemeļjanovs, J.Ieviņš, „Regulations on submitting and defence of diploma projects

within the professional study programme „Fire Safety and Civil Defence”, approved by the

Commission of the study programme „Labour protection and Civil Defence”, 13 September

2007, protocol No.16.

2.V.Jemeljanovs „Fire Safety supervision and control”, lecture notes, RTU, 2007.

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3. V.Jemeļjanovs, J.Ieviņš, M.Ziemelis „Regulations on organization, implementation and

defence of placement within the study programme „Fire Safety and Civil Defence” approved

by the Commission of study programme „Labour protection and Civil Defence”, 16

September 2006, protocol No.2.

4. V.Jemeļjanovs, J.Ieviņš, J.Ķipsna, V.Jurēnoks ‘Regulations on organization, implementation

and defence of placement within the Master professional study programme „Labour

protection” approved by the Commission of the study programme „Labour protection and

Civil Defence”, 13 September 2005, protocol No.1.

5. V.Jemeļjanovs, A.Jemeļjanovs „Civil Defence”, lecture notes, 2004.

5. A.Jemeļjanovs, Ē.Pālītis, V.Jemeļjanovs. Laboratory work (practice) „Plan of Civil defence

measures” (ISBN 9984-2000681-04-01), RTU, Riga.

PARTICIPATION IN SCIENTIFIC CONFERENCES

2001 -2007

1. V.Jemeļjanovs „Problems of classifying premises into categories taking into account

factors of explosiveness”/co-authors: J.Ievinš, A.Jemeļjanovs, J.Sulojeva,

M.Ziemelis//International scientific conference „Ecology and life safety of industrial and

transport enterprises ELPIT - 2007”, Togliatti, 20-23 September 2007.

2. V.Jemeļjanovs ”Detection of geometric parameters of dangerous zones due to gas, liquid

vapour and dust explosions”/co-authors: V.Edins, J.Sulojeva//International scientific

conference “Research problems of technogenic environment protection”, 30 March 2007,

RTU, Riga.

3.V.Jemeļjanovs „Personnel training in civil defence „Officers training for emergency

services”, International scientific conference, St.Petersburg University, 14 September 2006.

4. V.Jemeļjanovs „Assessment of technogenic safety of the city of Riga and its complex safety

in the future” /co-authors J. Ievinš, A.Jemeļjanovs, J.Sulojeva//International scientific

conference „Ecology and life safety ELPIT - 2005”, Togliatti, September 2005.

5. V.Jemeļjanovs „Optimization of fire fighting depots and community safety ”/co-authors:

N.Kabanovs, J.Sulojeva//International conference „Human rights and community safety”,

Riga, 26-27 August 2004.

6. V.Jemeļjanovs „Assessment of Latvian Rescue Service Efficiency” 2nd World Congress of

Latvian scientists /co-authors: J.Sulojeva, E.Pālītis //Riga, 14 -15 August 2001.

7. V.Jemeljanovs „Optimization of the response time in Latvian State Fire and Rescue

Service.”/A.Straume// International Ecological Symposium”The Way Out from Global

Ecological Crisis” Saint-Petersburg, Russia, 2001.g.

PEDAGOGICAL WORK

Length of pedagogical work experience in higher education - 9 years

Courses taught

1. „Civil Defence” RTU Bachelor and Engineer study programme ICA.

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2. „Fire Safety and Civil Defence” RTU Master academic study programme.

3. „Preventive Measures of Fire Safety” 1st level Professional study programme UCAK.

4. “Organisation of Preventive Measures of Fire Safety” within the professional study

programme „Fire Safety and Civil Defence, RTU.

Development and management of study programmes

1. „Fire Safety and Civil Defence” 2nd level professional higher education study programme

(code 4686106, RTU Senate, 27 June 2005, protocol No.497, accredited by Ministry of

Education and Science for 2007 - 2013), programme director.

2. „Fire Safety and Fire Fighting” 1st level professional higher education study programme

(code 418614, Decision No.4 of the Council of Fire Safety and Civil Defence College, 21

February 2003), Director of Fire Safety and Civil Defence College.

3. Profession Standard „Engineer of Fire Safety and Civil Defence” PS 0278, approved by the

Resolution No.537 of the Ministry of Education and Sciences , 17 September 2004, head of

the working group.

ORGANIZATIONAL SKILLS AND COMPETENCES

- International scientific conference “Research problems of technogenic environment

protection”, RTU, Riga, 30 March 2007, co-chairperson;

- Member of RTU EEF Labour Protection and Civil Defence study programme commission

since 2005;

- Member of RTU academic meeting since 2006;

- LATAK expert;

- International Academy of Ecology and Life Protection Sciences (IAELPS), St.Petersburg,

Russia, academician;

- Participation in EU EFCA, 2003 - 2004, Germany, Italy;

- Participation in EU EGOLF, 2000 – 2003, Finland, Denmark;

- Member of Latvian Association of Building Engineers;

- Director of College of Fire Safety and Civil Defence of LR Ministry of Internal Affairs

- Deputy Chairman of the Council of College of Fire Safety and Civil Defence, 2002 -2004.

ADDITIONAL INFORMATION

AWARDED with Gold decoration „For special merits” by State Fire and Rescue Service

(Resolution No.411, 2 May 2007)

28.10.2011. Vladimirs Jemeļjanovs

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Curriculum vitae

Valdis Kampars Address: Faculty of Materials Science and Applied Chemistry, Azenes iela 14/24,

Riga, LV-1048

Phone +371 67608606, +371 29230958

Fax: +371 7615765

E-mail: [email protected]

http://www.lza.lv/scientists/kamparsv.htm

Date and place of birth:

05.10.1944., Latvia, Priekule.

Education and scientific qualification:

Engineer (1970), Dr. chem.(1974), Dr.habil.chem. (1983, 1991), Professor. (1989),

Corresponding Member of Latvian Academy of Sciences (1994), Academic of

Latvian Academy of Sciences (1997).

Languages: Latvian (mother tongue), Russian, English

Occupation:

Junior and Senior Researcher, Faculty of Chemistry (1970-1983).

Associate Professor, Department of Organic Chemistry (1984-1988).

Head, Department of General Chemistry (1988-2001).

Head, Department of Chemistry (since 2002).

Professor (since 1989).

Dean, Faculty of Chemical Technology (1993-2003).

Dean, Faculty of Material Science and Applied Chemistry (2003-2008).

Director, Institute of Applied Chemistry (since 2006).

General secretary, Latvian Academy of Sciences (since 2008)

Courses (RTU):

General Chemistry;

Industrial Organic Chemistry;

Fuels and Lubricants;

Structure of Matter;

Atomic Spectroscopy;

Chemical Analysis;

UV-visible, near- and far-infrared spectroscopy;

Molecular Spectroscopy.

Supervised promotion works:

Study program „Chemistry” (3 doctoral students), „Chemistry Technology” (2

doctoral students)

Supervised master works:

Study program „Chemistry” (3 master students)

Development and management of study programmes:

Director of the bachelor, master and doctoral study “Chemistry” program.

Research directions:

Organic and Industrial Organic Chemistry, Domestic Raw Materials for Chemical

Industry, Organic Compounds and Polymers for Photoelectronics and Information

Storage, Alternative and Renewable Fuels, Waste Recycling, Diazonium Compounds,

Chemical and Chemical Engineering Education

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Research projects:

National Research Program:

1.V7547.3. Materials for photonics and nanoelectronics based on novel functional low

molecular organic compounds and polymers.

2.V7551 2. Optimisation of Synthesis and Use of Biofuels.

Latvian Academy of Sciences projects:

1.Nr.06.34.2 Biodegvielu kvalitātes nodrošināšana.

2.Nr.06.29.B. Inovatīvi strukturāli integrēti kompozītmateriāli: dizains, iegūšanas un

pārstrādes tehnoloģijas, ilgmūžība. Sadaļa: Nano-, mikro- un makrostrukturēti

materiāli uz minerālo izejvielu bāzes.

3. Nr.06.29.7. Inovatīvi strukturāli integrēti kompozītmateriāli: dizains, iegūšanas un

pārstrādes tehnoloģijas, ilgmūžība. Sadaļa: Materiāli optoelektronikai uz organisko

polimeru bāzes gaismas enerģijas pārveidei.

4.Nr.05.0005.4.1. Organic Materials for Microelectronic and Photonic.

5. Nr.05.0026.11.1. Organic Chromophors for Nanomaterials.

Starptautiska projekta daļa:

Lithuanian-Latvian-Taiwan joint Project „New structures and methods of synthesis of

the materials for organic light emiting diodes”

Publications:

Published more than 300 works.

Last year publications:

1. E.Jecs, J.Kreicberga,V.Kampars, A.Jurgis, M.Rutkis. Novel azobenzene precursors

for NLO active polyuretanes: Sythesis, quantum chemical and experimental

characterisation. Optical materials, 2009, 31, pp.1600-1607

2. G.Seniutinas, L.Laipniece, J.Kreicberga, V.Kampars, J.Gražulevičius,

R.Petruškevičius, R.Tomašiūnas. Orientational relaxation of three different

dendrimers in polycarbonate matrix investigated by optical poling. J.Opt.A: Pure

Appl.Opt., 2009, 034003 (7 pp)

3. B.Stiller, M.Saphiannikova, K.Morawetz, J.Ilnytskyi, D.Neher, I.Muzikante,

P.Pastors, V.Kampars, Optical patterning of azobenzene and indandione containing

films, Thin Solid Films, Vol. 516, Iss.24, pp. 8893-8898, 2008

4. A.Ozols, M.Reinfelde, Dm.Saharov, K.Kundzins, V.Kampars, V.Kokars.

Holographic recording of surface relief gratings in tolyle-based azobenzene

oligomers. Thin Solid Films, 2008, 516, pp.8887-8892

5. V.Kampars, V. Kokars, E. Jecs, A. Tokmakovs, A. Jurgis, M. Rutkis

Supramolecular assembly of indandione based binary chromophore organic glasses

for NLO applications. Advanced Materials, 2008, pp1-16

6. V.Kampars, K.Malins, T.Rusakova. Influence of microwave heating and ultrasound

on purity of fatty acid methyl ester in synthesis with low catalyst concentration.

Proceedings of 18th INTERNATIONAL CONGRESS OF CHEMICAL AND

PROCESS ENGINEERING – CHISA, Praha, CD-ROM of Full Texts, 2008, pp.1-4

7. M.Rutkis, A.Jurgis, V.Kampars, A.Vembris, A.Tokmakovs, V.Kokars, Optimizing

the second order NLO performance of the host – guest polymer systems by tailoring

the chromophore structure, Molecular Crystals and Liquid Crystals, 2008, Vol. 485,

pp.903–914

8. G.Dobele, I.Urbanovich, A.Zhurins, V.Kampars, D.Meier. Application of anlytical

pyrolysis for wood fire protevtion control. J.Anal.Appl.Pyrolysis, 2007, 79, pp.47-51

9. G.Dobele, I.Urbanovich, A.Volpert, V.Kampars, E.Samulis. Fast pyrolysis.

Effectof wood drying on the yield and properties of bio-oil. BioResources, 2007, 2(4),

699-706.

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10. I.Muzikante, M.Rutkis, E.Fonavs, B.Stiller, D.Neher, V.Kampars, P.Pastors, Light

induced processes in thin films of indandione type organic molecules, SPIE

Proceedings, 2007, Vol. 6470, 647012

11. I.Kaulachs, I.Muzikante, G.Shlihta, L.Gerca, M.Plotniece, M.Roze, J.Kalnachs,

P.Shipkovs, A.Murashov, V.Parra, V.Kampars, PV effect in visible and infrared light

in P3HT/C61(CO2Et)2/GaOHPc blend and multilayer cells, Latv.J.Phys Tehn. Sci.,

2007, No.3, pp.61-68.

12. Dm. Saharov, A.Ozols, V.Kampars, V.Kokars, J.Kreicberga, S.Ratyeva. Influence

of chromophore group concentration on the holographic properties of spin-coated

azobenzene oligomers. Latvian Journ. of Phys. and Techn. Sciences, 2006, No2, pp.

59 –65.

13. G.Blazys, S.Grigalevicius, J.V.Grazulevicius, V.Gaidelis, V.Jankauskas,

V.Kampars. Phenothiazinyl-containing aromatic amines as novel amorphous

molecular materials for optoelectronics. Journal of Photochemistry and Photobiology.

A:Chemistry, 2005,pp.115-120

Patents:

LV 11344, 12257B, LV 13070 B, LV P-08-204, LV P-08-203, LV P 0975

Other activities:

Member of the State Scientific Qualification Committee;

Member of the Biofuels Development Advisory Council;

Member of the Latvian Association of University Professors board;

Chairman of Riga Technical University Senate;

Chairman of RTU promotion council H-01 and member of RTU promotion council

H-02;

4. NEK expert;

Chairman of the Standardization technical committee “Petroleum and Natural Gas

Products”;

Chairman of the study program „Chemistry” board;

Member of the International Association of humus substances;

Member of Latvian Academy of Sciences Senate;

Member of the Latvian Academy of Sciences presidium;

Chairman of the Latvian Academy of Sciences board;

General Secretary of the Latvian Academy of Sciences.

Honours and Awards:

Barricades participant memorial sign 1991;

Professor G.Vanags Medal (Riga Technical University)1994;

P.Valdens Medal 2007;

Co-author for the best 10 works included in Latvian scientific achievements list in

2007 and 2008;

2009 Scientist of the year in RTU

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CURRICULUM VITAE

Name: Arturs Medvids

Born: March 10, 1942, Velsk, USSR

Citizenship: Latvian

Nationality: Ukrainian

Home address: Zemaišu Str., 1/1-24, LV-1002, Riga, Latvia.

EDUCATION

1994, April Latvian University (Riga), degree Dr. habil. Phys., specialization:

Solid State Physics

1979, September Vilnius State University, Lithuania, degree Candidate of Sciences,

specialisation: Physics of Semiconductors and Dielectrics.

1968, June Kiev State University, Ukraine, specialization: Optics and

Spectroscopy.

WORK EXPERIENCE

2001 June- October Invited professor in Hamamatsu University, Japan.

1995 - Professor of Riga Technical University (Latvia).

1983, June Docent at Physics Department of Riga Technical University.

1989, May Head of Laboratory of Semiconductor Physics.

1975, September Assistant at Physics Department of Riga Technical University.

1969, June Senior engineer in Institute of Semiconductors of Ukrainian

Academy of Sciences (Kiev).

1967, July Engineer in Institute of Physics of Ukrainian Academy of

Sciences.

1959, June Laboratory assistant in Institute of Electric Welding of Ukrainian

Academy of Sciences.

SCIENTIFIC ACTIVITY

The field of scientific interest: investigation of the semiconductors: Si, Ge, GeSi/Si,

InSb, Te, CdTe, CdZnTe, SiC and ZnO under nonequilibrium conditions in

nonhomogeneous electric, magnetic and temperature fields, transport process in

semiconductors, metal (CoSi2) and dielectrics (SiO2, Si3N4), interaction of laser

beam with Solid State materials, Nanostructures formation on a surface of

semiconductors by laser radiation.

International Conferences:

1995, 1998, 2001, 2004, 2007. A member of the International Advisory Committee at

the 9 th-13th Symposium on Ultrafast phenomena in semiconductors, Vilnius,

Lithuania;

1996 - A member of the International Advisory and Program Committee: at the SPIE

Conf. on Optical Storage, Imaging, and Transmission of Information", Kiev,

Ukraine; At the SPIE Conf. Material Sc. and Material Prop. for IR

Optoelectronics Uzgorod, Ukraine. A member of the Organising Committee

and Chair / Editor at the SPIE Conf. Optical Material and Devices", Riga,

Latvia.

1997 - Invited lector at the School-Conference " Solid Sate Phys.", Katsyeveli,

Ukraine

1998 - A member of the International Advisory Committee: at the SPIE Conf."

Optical Storage", Kiev, Ukraine.

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1998 - A member of Editorial Board of J."Materials Science", Kaunas University of

Technology, Lithuania.

2001 - Invited professor in Research Institute for Electronics of Shizuoka University,

Hamamatsu, Japan.

2004 - Invited speaker at the 12th International Conference on Solid Films and

Surfaces, Hamamatsu, Japan.

Chairman of section at the 12th Annual International Conference on

Composites/nano Engineering, Tenerife, Spain.

2006 - A member of the International Advisory Committee: at the SPIE Conf."

RNAOPM’2006", Lutsk, Ukraine and Īntern.Conf. „Radiation Interaction with

Material and Its Use in Technologies”, Kaunas, Lithuania.

2008 - Invited speaker at the Īntern.Conf. „Radiation Interaction with Material and Its

Use in Technologies, Kaunas, Lithuania.

2009 - Invited speaker at the International Conference on Nanostructured Materials

and Nanocomposites, Kerala, India, 10-th International Young Scientists

Conference Optics and High Technology Material Science, Kyiv, and IV

Ukainian Sc.Conf. on Physics of Semiconductor, Zaporizhie, Ukraina.

2010- Chairman of the International Conference “ Inter-Academia 9th” , Riga, Latvia.

2009-2010 - Honourable Guest Professor of Shizuoka University, Japan.

More than 428 scientific publication and patents (74 patents,

monographer of 2 books).

MEMBERSHIP

SPIE, Latvian physics society.

LANGUAGES

Ukrainian, Latvian, English, Russian.

27.10.2011. A. Medvids

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Curriculum Vitae

1. First name, Last name: Ņiķita Nadežņikovs

2. Personal code: 080434-11229

3. Place of birth: Viesite, Latvia

4. Place of job: Associate professor, Riga Technical university (RTU), Faculty of Power and

Electrical Engineering, Riga, LV-1048, Latvia, 1Meža str., phone +371 7089500

5. Home address: 222c Maskavas str. Apr. 12, Riga, LV-1019, Latvia, phone. +371 67145349

6. LR scientific degree: Dr. phys.Diploma E-D Nr. 000184

7. Professional experience:

Foreman - electrician, plant “Kaija”, Riga,1957-59;

Engineer, Institute of Energetics, Sc. Academia, Latvia 1959-61;

Engineer, plant of Semiconductor Apparatus, 1961-63;

Engineering manager, Institute of Physics, Sc. Academia, Latvia 1963-1966;

Assistant, Riga Polytechnical institute (RPI), 1966-69.

Post-graduate, Riga Polytechnical institute (RPI), 1969-1972.

Assistant, lecturer, docent, RPI and RTU, Riga, 1972-1998;

Associate professor, RTU, 1998 - present.

8. Educational experience:

Courses and laboratory: Theory of electrical engineering, Theory of electrical circuits,

Electricity and magnetism, Electronics.

Co-author of 1 text-books of basic electrical engineering.

9. Area of research activity: Research and calculation of electromagnetic field in electrical

equipment.

10. Research activity: since 1975 have been supervisor of more than 16 scientific works and

projects.

10.1. -

10.2. -

11. Main scientific publications durig the last 5 years:

Science and technology dictionary. Publishing house “Norden AB”, 2009. (In the co-

authorship).

12. Total number of scientific publications: more than 70.

13. Languages used: Latvian, Russian, English.

14. Prolonged education

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Curriculum Vitae

Ivars Raņķis

Identity number: 011037 - 10406

Riga, Višķu street 5-40, phone at home 67-267616, phone at work 67-089916

Born in 1 October, 1937 in Riga

Latvian

Married, 2 children

Education

1992. Defended the scientific work summary for Habilitated Doctoral degree in Riga.

1970. Defended the thesis for Candidate of Technical Sciences degree in

Dnepropetrovsk.

1966. – 1969. Postgraduate course in Riga Polytechnical Institute.

1958. – 1960. Faculty of Power Engineering of Riga Polytechnical Institute, specialty

engineering-electric mechanic.

1955. – 1958. Faculty of Mechanics of Latvian State University.

1944. – 1955. Riga 28th secondary school

Pedagogical work experience

Since 1998 professor in RTU at energoelectronics direction.

Since 1993 professor in RTU at Department of automated electrical drive.

1993. - 2000. part-time professor in Latvian Maritime Academy.

Since 1969 docent in Riga Polytechnical Institute at Department of industrial and

transport electrification, later Department of automated electrical drive.

During pedagogical activities read lectures in such subjects as “Production Systems

Automation”, “Electrotechnological Equipment”, “Semiconductor converters”,

“Power Electronics”, ‘Elements of Electrical Drives”, “Electrical Machines”, “Basics of

Regulation Theory”, “Automated ship electrical drives”, “Electronic Equipment”.

Practically in all these subjects prepared and published 18 methodological materials.

In last 6 years published 9 Pēdējos 6 gados publicējis 9 methodological materials in 7

subjects.

Participated in RTU preparation and accreditation of study program Computerised

Control of Electrical Technologies in 2002 and 2004 for full time and part-time

bachelors academic and professional studies, master academic and professional

studies and doctoral studies.

Industrial work experience

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Since 1958 till 1960 worked in Riga Electric Machine Building Works as electrician-

tester in Transport electrical equipment production department A-1.

Since 1960 till 1966 worked as engineer-constructor in special traction electrical

equipment constructors office of SKBt wagon electrical equipment office. He has

been wagon-power plant equipment designer as well as engineer for these products

production in building works.

Scientific work experience

He has published in total 230 scientific publications, including 1 scientific

monograph, 18 teaching-methodical books, as well as many popular-science

publications in periodicals. In the last six years in various Latvian and foreign

scientific papers published 39 scientific publications.

Since 1994 till 2004 member of energy experts council of Latvian Scientists

Association and Latvian Council of Science.

Member of RTU and Kaunas University of Technology periodical scientific

publications and scientific conferences “Power and Electrical Engineering” and

“Electronics” editorial board and organizing committee.

He is author for 50 inventions in former USSR and Latvia in electrical engineering.

In last 6 years he has submitted and received 6 LV invention patents.

Professional advancement

1994. Stockholm Institute of Technology

1986. Sofia Polytechnical Institute.

1985. Moscow Power Institute.

Organizational competence

Since 1993 chairman of RTU FPEE trade-union bureau and member of RTU trade-

union committee.

Since 1993 member of RTU FPEE Council.

Since 2002 deputy chair of Industrial Electronics and Electrical Engineering Institute.

Since 1993 member of RTU periodical publication “Power and Electrical Engineering”

(Series 4) editorial board.

Language proficiency

Latvian, Russian and English at conversation and writing level, Swedish at reading

level.

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Curriculum Vitae

1. General information

Professor Leonids RIBICKIS

Rector of Riga Technical University

Director of Institute of Industrial Electronics and Electrical Drives,

Phone: +371 708 9300;

Fax: +371 782 0094

E-mail: [email protected]

2. Education

13 Education institution Riga Technical University

Period of time From 1974 till 1978

Title of qualification awarded Doctor’s degree

14 Education institution Riga Technical University

Period of time From 1965 till 1970

Title of qualification awarded Higher education

15 Education institution Cesis High School No.1

Period of time Graduated in June 26th, 1965

Title of qualification awarded Secondary education

3. Academic and Scientific degrees

Academician of Latvian Academy of Sciences (from 2007) (No. A-166)

Corresponding Member of Latvian Academy of Sciences (from 2001 till 2007) (No.

K-235)

RTU Professor (from 2000) (Diploma No. 12)

Habilitated Doctor of Engineering Sciences (from 1994) (B-Dh No. 000080)

Doctor of Engineering Sciences (from 1992). (B-D No. 000023)

Associate professor of Department of Electrical Drives and Power Electronics (from

1986) (ДЦ No. 087991)

Candidate of Technical Sciences (from 1980) (TH No. 043125)

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4. Employment

2011 – till now Rector, Riga Technical University

2011 – till now Chairman of the Board, Latvian Association of Universities

2000 – 2011 Vice-Rector for Research, Riga Technical University

2002 – 2003 Chairman of Council, SSC Latvenergo

2001 – 2002 Member of Council, SSC Latvenergo

2001 – till now Head of Department of Industrial Electronic equipment, Riga Technical

University Faculty of Power and Electrical Engineering

2000 – till now Chairman of Council, Latvia Technology Park

1999 – till now Director of Division of Industrial Electronic equipment, Riga Technical

University Faculty of Power and Electrical Engineering

1994 – till now Professor of Division of Industrial Electronic equipment, Riga

Technical University Faculty of Power and Electrical Engineering

1996-2000 Director, Latvia Technology Park

1992 -1999 Director, Latvian – Germany management and consultations joint

venture „AB&RTU”, Ltd.

1987 – till now Scientific Director, Riga Technical University, Faculty of Electrical

Engineering, Research Laboratory of Electromechanotronics

1986-1987 Visiting Professor, Wisconsin – Madison University, WEMPEC

Research Center, USA

Year 1984 Internship at Moscow Institute of Energy

1983-1994 Associate Professor, Riga Technical University, Department of

Electrical Drives and Power Electronics

1980-1983 Senior Lecturer, Riga Technical University, Department of Electrical

Drives and Power Electronics

1979-1980 Visiting Researcher Budapest Technical University, Department of

Electrical Machines, Hungary

1975-1980 Research Associate, Riga Technical University, Department of

Electrical Drives and Power Electronics

1970-1975 Engineer, Researcher, Senior Researcher, Head of Research Group,

Laboratory of Power Traction Equipment, Riga Branch of SU Railway

Carriage Building Research Institute,

5. Languages

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(Evaluation from 1 till 5 (1 - low; 5 - fluent))

Reading Speaking Writing

English 5 5 5

Russian 5 5 5

German 4 3 3

6. Member and Chairman of different European Union and Latvian Council of Science

Expert Communions, Science Councils and associations

Member of the Board of World Power Industry Council’s Latvian National

Committee (from 1992)

Head of Latvian sub department of International Institute of Electrical and Electronics

Engineers

Member of European Power Electronics and Drives Association

Member of the Board and Assembly of European Power Electronics and Drives

Association

Member of the Board of Power Electronics and Motion Control

Member of Union on Energetics

Member of Latvian Union of Scientists

Member of Latvian Electrical Engineers Society

Member of Associations of Professors of Latvia

Member and Chairman of the Board for Foundation “CONNECT Latvia” (from 1998

till 2006)

Member of the Board of Foundation of Scientific Technological Park RVP (from

2003)

Member of the Board of Latvian Power Industry and Electro technic manufacturing

(from 2001)

Member of “Euroscience” Union of European Scientists

Member of the Board and President of Latvian Association of Technology Parks,

Centres and Business Incubators (from 1999 till 2003)

Vice-President of Academy of Intellectual Property and Innovations (from 2000 till

2003)

Member of the Extended Board of Latvian Confederation of Manufacturing (from

1998 till 2005)

Member of the Board of Excellence Web of European Power Electronic Research

organizations (from 2009)

Member of Assembly of European Power systems Research Center ARTEMIS (from

2008)

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Member of Latvian National Economy Council (from 2002)

Delegate and Expert of Republic of Latvia at Energy Commission of European 7th

Framework Program

Member of the Board of World Energy Council

7. Scientific publications

Altogether: 397 publications, incl. 20 monographs and 63 patents

Databases: Thomson Scientific, EBSCO, CSA/PROQVEST, IEEE Explore, ISI WEB of

Knowledge, INSPEC, VINITI, VERITAS

More than 30 popular-science articles in journals

8. Awards in Science and Research

Prize “USSR Inventor” 1986

United Kingdom prize “UK Royal Award” 1993

Acknowledgement of Ministry of Higher Education and Science of Republic of

Latvia for significant contribution in development of RTU Scientific activities 2002

Prize in the name of Professor A.Vitols from Latvian Academy of Sciences and

Latvenergo 2006

Prize of Tallinn University of Technology for promotion of long term cooperation

between Riga Technical University and Tallinn University of Technology 2006

Acknowledgement of Ministry of Higher Education and Science of Republic of

Latvia for significant contribution in development of Latvian Science activities 2007

Acknowledgement of Ministry of Economics of Republic of Latvia for promotion of

innovations and new technology development in Latvia 2007

Diploma from Lithuanian Academy of Sciences for the best paper in the International

electronics conference 2007

Acknowledgement of Tallinn University of Technology for contribution in

international science cooperation 2009

Award of European Power Electronic Association for significant contribution in

organizing international scientific conference 2010

9. Organizational activities:

Member of Latvian Council of Science (from 2002)

Member of the working group for developing Concept of National Innovation

program (Resolution of Prime Minister from 2000.07.13, № 268);

Member of Ministry of Economics National Economy Council (from 2001)

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Member of the Latvian – Italian cross border cooperation agreement implementation

working group (from 1998)

Public Member of Riga City Municipality Transport’s Department in questions of

electorviecles

Consultant of Riga City Municipality Transport’s Department in questions of

electorviecles, electric and power systems

Delegate of Republic of Latvia at DG Research “Energy” and “TREN” commissions

of EU 5th Research and development Framework program

Delegate and Expert of Republic of Latvia at EU 6th Framework program

“Sustainable Development, Global Change and Ecosystems”

Delegate and Expert of Republic of Latvia at subprogram „ENERGY” of EU 7th

Framework program (from 2007)

RTU rector

RTU Vice-Rector for Research, Director of Division, Head of department

Member of Senate of RTU and Member of Council of Faculty of Power and

Electrical Engineering

Chairman of the RTU Promotion Council for Electro technic sciences

Member of the RTU Promotion Council for Power industry sciences

Chairman of the RTU Professor Council for Electro technic sciences

Member of the RTU Professor Council for Power industry, Electro technic and

transport sciences

Member of the Riga Technical Collage Council

Member of the editorial staff for Journal “Energy and The World”

Member of the editorial staff for RTU Journal “Power industry and Electro technic”

Member of the editorial staff for RTU Publishing house

Member of the editorial staff for RTU periodic Journals “RTU Scientific Research”,

“RTU Scientific Research Activities” and “RTU doctoral programs”

Member of the Organizing Committee of “Baltic Dynamic” conference (from 1996 –

till 2003)

Member of the Organizing Committee of annual RTU International – Scientific

Conference (from 2001 – till 2010)

General-Chairman of 11th Worldwide Power industry and Motion Control

Conference EPE_PEMC (2004)

Co-Chairman for International Power Electronics Conference 2005 in Dresden,

Germany (2005)

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Co-Chairman for International Power Electronics and Motion Control Conference

2006 in Portoroz, Slovenia (2006)

Co-Chairman for International Power Electronics Conference 2007 IN Alborg,

Denmark (2007)

Co-Chairman for International Power Electronics and Motion Control Conference

2008 in Poznan, Poland (2008)

Co-Chairman for International Power Electronics Conference 2009 in Barcelona,

Spain (2009)

Co-Chairman for International Power Electronics and Motion Control Conference

2010 in Ohrid Republic, Macedonia (2010)

Co-Chairman for EPE 2011 Conference in Birmingham, UK (2011)

Member of International Expert Commissions for Conferences:

o International Power Electronics and Motion Control Conference 1996

Hungary

o International Power Electronics Conference 1997, Norway

o International Power Electronics Conference 1999, Switzerland

o International Power Electronics Conference 2001 Austria

o International Power Electronics Conference 2003 France

o International Power Electronics Conference 2005 Germany

o International Power Electronics and Motion Control Conference 1998 the

Czech Republic

o International Power Electronics and Motion Control Conference 2000

Slovakia

o International Power Electronics and Motion Control Conference 2002 Croatia

o International Power Electronics and Motion Control Conference 2004 Latvia

o International Power Electronics and Motion Control Conference 2006

Slovenia

o AEP 2002, AEP 2003, AEP 2004; BEC 2003, PEC 2000, PEC 2001, PEC

2002, PEC 2003, PEC 2004;

L.Ribickis

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CURRICULUM VITAE

Kārlis Šadurskis Date and place of birth: October 11, 1959. Riga, Latvia Nationality: Latvian Work experience:

Since 1982 Riga Technical University, Probability Theory and Mathematical

Statistics Department, present occupation Professor.

From 2002 to 2004 Minister for Education and Science Republic of Latvia

From 2004 to 2011 Member of Parliament of Latvia

From 2009 to 2010 Parliamentary secretary of Ministry of Defence

From 2010 to 2011 Secretary of the Parliament of Latvia

Education: 1982 graduated from Riga Technical University, Applied Mathematics specialty.

Scientific degree: Doctor of Mathematics (Dr.Math.).

Scientific work.

Special field: Qualitative theory of the stochastic functional differential equations,

Probability theory and mathematical statistics, asymptotical methods and their applications

for the analysis of stochastic dynamics of microeconomic mathematical models.

Papers:

Latest since 2005:

1. J.Carkovs, K.Šadurskis. Mean square stability of linear dynamical systems with Markov coefficients. // Plenary lecture, 4th International conference APLIMAT, Bratislava 2005, pp.85 – 97.

2. V.Minkevica, K.Sadurskis. Stochastic model of an adaptive Samuel-Marshall type single component market.// Proceedings of the 12th International conference on analytical and stochastic modelling techniques and applications, Riga, 2005 pp.91 – 93.

3. J.Carkovs, K.Šadurskis. Averaging method for retarding Quasilinear dynamical systems with rapidly oscillating perturbations. // Proceedings of the Latvian Academy of Sciences, Vol. 59, 2005, Nr. 6, sect. B, pp. 245 – 254.

4. J.Carkovs, K.Šadurskis. Asymptotic methods for retarding Quasilinear dynamical systems. // Plenary lecture, 5th International conference APLIMAT, Bratislava 2006, pp. 93 – 110.

5. J.Carkovs, K.Šadurskis. Asymptotic stochastic analysis of fast oscillating retarding dynamical systems. // 6th Latvian Mathematical Conference, Liepāja, April 7 – 8, 2006. Acta Societatis Mathematicae Latviensis. No 7, 2006, p. 17.

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6. А.Матвеев, В.Царькова, К.Шадурскис. Марковская модель авторегрессии с гетероскедастичным остатком. // Міжнародна науково – практична конференція „Інтелектуальні системи прийняття рішень та інформаційні технології”, 17 – 19 травня 2006 p., Чернівці, 2006, c. 111 – 114.

7. J.Carkovs, K.Šadurskis. On delayed stochastic exponent. // Plenary lecture, 6th International conference APLIMAT, Bratislava 2007, pp. 463 – 469.

8. A.Matvejevs, K.Šadurskis. Markov approach to the construction of nonlinear autoregressive models. // Plenary lecture, 6th International conference APLIMAT, Bratislava 2007, pp. 471 – 482.

9. J.Carkovs, K.Šadurskis. Exponential stability of fast oscillating linear functional differential equations // 7th International conference APLIMAT, Bratislava 2008, pp. 195 - 201.

10. J.Carkovs, K.Šadurskis. Exponential stability of fast oscillating linear functional differential equations // Journal of Applied Mathematics, Volume 1(2008), No. 1, pp. 133 - 139.

11. J.Carkovs, K.Šadurskis. Integral continuity and the law of large numbers for fast oscillated random evolutions // Abstracts of the 7th Latvian Mathematical Conference, Rezekne, April 18 – 19, 2008. Acta Societatis Mathematicae Latviensis. 2008, p. 11.

12. A.Matvejevs, K.Šadurskis. Copula based nonparametric regression estimation // 8th International conference APLIMAT, Bratislava 2009

13. K.Šadurskis. Damping of cutting tool's vibrations in trace turning. Abstracts of MMA2009, May 27 - 30, 2009, Daugavpils, Latvia, 2009.

14. Andrejs Matvejevs, Šadurskis Kārlis. Autoregressive Models of Risk prediction and Estimation Using Markov chain approach. Proceedings of 9ht International Conference APLIMAT`2010. February, 2-5, Bratislava, Slovakia, p.p. 217- 223.

15. A.Matvejevs, K.Šadurskis. Autoregressive models of risk prediction and estimation using Markov chain approach // Journal of Applied Mathematics, Volume 3(2010), No. 2, pp. 127 - 133. 16. J.Carkovs, K.Šadurskis. Inverse Lyapunov theorem for stochastic functional differential equations. Abstracts of MMA 2010, April 9 - 10, 2010, Valmiera, Latvia, 2010. 17. K.Šadurskis. On price equilibrium of stochastic market. Abstracts of MMA 2011, May 25-28, 2011, Sigulda, Latvia, p.111.

Lecture notes:

Latest since 2005:

1. V.Carkova, K.Šadurskis. Gadījuma procesi. Mācību līdzeklis. Rīga, RTU, 2005, 205 p., web address: http://mspi.itl.rtu.lv/Sadurskis/

2. K.Šadurskis, A.Pola. Programmatūras pakotne Mathematica: iepazīsimies un sāksim strādāt. Rīga, RTU, 2011., 44 p.

3. V.Carkova, J.Carkovs, K.Šadurskis. Gadījuma procesi. Rīga, Zelta Rudens, 2011., 160. p.

4. O.Pavļenko, K.Šadurskis. Varbūtību teorija un matemātiskā statistika. Lekciju konspekts. Rīga, Zelta Rudens, 54 p.

5. O.Pavļenko, K.Šadurskis. Varbūtību teorija un matemātiskā statistika. Praktiskie darbi. Rīga, Zelta Rudens, 78 p.

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Participation in International conferences and congresses: 12 during last 5 years. Bratislava

2005., Bratislava, Liepāja, Chernivci 2006., Bratislava 2007., Bratislava, Rēzekne 2008.,

Bratislava, Daugavpils 2009., Bratislava, Valmiera 2010., Sigulda, 2011.

Scientific management of research projects:

1. In 2005. Project Nr. ZP/2005-01 Heteroskedastic Models For Value At Risk Forecasting.

2. In 2008. Project Nr. IZM R7388 Copula based auto regressive models of risk prediction.

3. In 2009. Project Nr. FLPP-2009/8 Asymptotic methods design for stochastic modeling.

Participation in research Projects financed by Latvian Council of Science:

1. Since 2005 research project 05.1879 Asymptotical analysis of stochastic stability. 2. Since 2001 research project 01.0579 Asymptotical methods of stochastic analysis.

International scientific cooperation: Since 2006 manager of scientific cooperation according to

the contract on cooperation among Chernivtsy National University, Ukraine National Technical

University (Kiev) and Riga Technical University

Academic work:

Courses: Probability Theory and Mathematical Statistics, Stochastic Processes, Applied

Statistics, Multivariate Analysis, Mathemtics of Finance.

Scientific management of Bachelor and Master theses.

Other activities:

- Member of SEFI – Société Européene pour la Formation des Ingénieurs MWG – Mathematics Working Group;

- member of Latvian Mathematical Society; - member of Latvian Association of Scientists; - member of Latvian Statistics Society; - evaluation committee expert of Higher Education Quality Evaluation Centre

(HEQEC); - member of Promotion Council «RTU P–07» in Information Technologies - member of the political party Civic Union, member of the board.

State awards:

- The Commemorative Medal of the Participant of the 1991 Barricades - NAF Commander Award – 1st class Sign of Honour “For the Contribution”

Language proficiency: Latvian – native, English and Russian – fluent.

Marital status: Married, daughter 20.

Kārlis Šadurskis

October 20, 2011

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CURRICULUM VITAE

PERSONAL INFORMATION

First name, surname: Elina Gaile-Sarkane

E-mail: [email protected]

Telephone at work:+371 67089425

LANGUAGE PROFICIENCY

Mother tongue: Latvian

Other languages: English, Russian

EDUCATION

1999 -2003

Riga Technical University, Faculty of Engineering Economics, Doctoral Studies,

research: “Models of Information Business in Latvia”

1996-1999

Riga Technical University, Faculty of Engineering Economics,master Studies, research:

“The Promotional Models of Demand and Sale”.

1996-1996

Riga Technical University, Faculty of Engineering Economics, Bachelor Studies

1991-1996

Riga Technical University, Faculty of Chemical Technology, Bachelor Studies

SCIENTIFIC DEGREES

Dr.oec. (2003), Defended in RTU Promotional Council P09, dissertation “Models of

Information Business in Latvia”

PROFESSIONAL ADVANCEMENT

June 18-25, 2008, Harvard Business School, EECPCL program (Entrepreneurship

Education colloquium on Participant-Catered Learning), Boston, USA

November 2007, LIKTA conference “The role of ITT in rising of state

competitiveness and productivity of SME’s “

10-22 June, 2007, IMTA (International Teachers management Academy),

CEEMAN, Bled Slovenia,

November 2006, LIKTA conference “Joint in the Way to Information Society ”

April 2004, RTU TIC „Innovations in Higher Education”, Course of professional

skill improvement

February 2004, EteRa, „E-commerce and the society of Information”, conference-

seminar

September 2002, Lauva Mārketings, „Active Selling”, workshop

March 2000, Mercuri International, „Development of the Team”, seminar

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September 1999 International Trendseters Corp. Inc., „Five Star Service” seminar

December 1998, Mercuri International, „Efficiency of Leadership”, seminar

WORK EXPERIENCE

2010 – up to now

Riga Technical University, Faculty of Engineering Economics and Management, Head of

Management department

2009- up to now

Riga Technical University, Faculty of Engineering Economics and Management, Professor

2007-2009

Riga Technical University, Faculty of Engineering Economics and management, E-

Environment Development manager

2006-2009

Riga Technical University, Associated Professor

2003-2006

Riga Technical University, Assistant Professor (Docent)

2003-up to now

“Komunikāciju Darbnīca” Ltd. Consultant

2001-2003

Riga Technical University, Lecturer

2001-2002

Higher School of Social Technologies, Lecturer

1998-2000

“LatvijasTālrunis” LTD. Head of Marketing Department

1997-1998

“Latvijas Tālrunis” LTD. Assistant of Sales Manager

1995-1997

“Rīgas karstā līnija” LTD. Sales Manager

RESEARCH WORK AND PARTICIPATION IN THE ACADEMIC PROJECTS

2008-2010

Multilateral Projects, Leonardo Da Vinci Lifelong Learning Programme, Transfer of

Innovation Project “Sustainability and social responsibility through learning in SME”, No. LLP-

LdV-TOI-2008-LT-0021, Project leader

2008-2009

Grant FLPP-25/2009 “Methodology of SWOT Analysis for Development of Sustainable

Growth Strategy for Small and Medium Enterprises”, Project leader

2007

Grant No R7215 “Possibilities of Analysis of Dynamic Business Environment: Research

network development”, supported by Ministry of Science and Education of Latvia, Project

leader.

2007

Member of editorial board of RTU International Scientific conferences.

2006

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Member of editorial board of RTU International Scientific conference.

2004-2007

Grant Nr. 04.1026 by SC of Latvia “The role of information resources in the development

of Entrepreneurship in Latvia”; researcher;

2001-2003

Grant Nr. 01.0566 by SC of Latvia “The Models of Latvian information market

development”, researcher; 2002-2003

Grant PhD students by SC of Latvia;

PUBLICATIONS

Scientific publications

1. Information Technologies as a Tool for Changes in Consumer Behaviour // Andersone I., Gaile-sarkane E.// Society, Man Nature. Management and Sustainable Development. Volume 26. – Univeristy of Forestry, Sofia, Bulgaria, 2010. – 80-87 pp. (ISSN 1311-4506)

2. Значение социальных интернет-сетей в предпрининимательской деятельности для повышения конкурентоспособности /Sceulovs D., Gaile-Sarkane E.// Society, Man Nature. Management and Sustainable Development. Volume 26. – Univeristy of Forestry, Sofia, Bulgaria, 2010. – 133-139 pp. (ISSN 1311-4506)

3. Electronics Tools for Company’s Presence, identification and Marketing in E-envirnment: Theory and Practice/ Sceulovs D., Gaile-Sarkane E.// 15th International conference on Economics and Management ICEM 2010, 22-23 April 2010, Selected papers. Kaunas. Tehnologija, 2010. – 775-782 pp. ISSN 1822-6515 (EBSCO host)

4. Scientific Capacity of Products of Innovative Activities in Latvia / Magidenko A., Gaile-Sarkane E.// 15th International conference on Economics and Management ICEM 2010, 22-23 April 2010, Selected papers. Kaunas. Tehnologija, 2010. – 655-661 pp. ISSN 1822-6515 (EBSCO host)

5. Diversity of Marketing – Trends and Development/ Gaile-Sarakne E./ 15th International conference on Economics and Management ICEM 2010, 22-23 April 2010, Selected papers. Kaunas. Tehnologija, 2010. – 478-482 pp. ISSN 1822-6515 (EBSCO host)

6. On Social Behavior as a Base of Consumption/ Andersone I., Gaile-Sarkane E.// 15th International conference on Economics and Management ICEM 2010, 22-23 April 2010, Selected papers. Kaunas. Tehnologija, 2010. – 359-365 pp. ISSN 1822-6515 (EBSCO host)

7. Consumer Expectancy Theory for Business // Andersone I., Gaile-Sarkane E.// 6th International Scientific Conference, May 13-14, Vilnius, Lithunia, BUSINESS AND MANAGEMENT 2010, Selected papers. Vilnius 2010., 321-327 pp., ISSN 2029-4441, doi 10.3846/bm.2010.043 (ISI proceedings)

8. Identifications of Factors Affecting Consumer Habits in the E-environment/ Sceulovs D., Gaile-Sarkane E.// 6th International Scientific Conference, May 13-14, Vilnius, Lithunia, BUSINESS AND MANAGEMENT 2010, Selected papers. Vilnius 2010., 965-970 pp., ISSN 2029-4441, doi 10.3846/bm.2010.043 (ISI proceedings)

9. Information Technologies as a Tool for Changes in Consumer Behaviour/ Andersone I., Gaile-Sarkane E. // Management and Sustainable Development, Volume 26, University of Forestry, Sofia, Bulgaria, 2010 – 80-87 pp. (ISSN 1311-4506)

10. Значение социальных Интернет-сетей в предпринемательской деятельности для повышения конкурентоспособности/ Ščeulovs D., Gaile-Sarkane E.// Management

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and Sustainable Development, Volume 26, University of Forestry, Sofia, Bulgaria, 2010 – 133-139 pp. (ISSN 1311-4506)

11. Thrends in Development of E-Business Models in the European Union // Business

Development Possibilities in the New European Area. Scientific Proceedings. Part

II – Vilnius, Vilnius University, 2005. – 216. – 219. pp.

12. The Consumption of Information Products: Economic Values and the Information Society // Transformations in Business & Economy. Vol.5, No 1 (9), 2006. Scholary papers. – Brno-Kaunas-Riga-Vilnius, 2006. – 65. – 80. pp.(ISSN 1648-4460)

13. Impact of E-Commerce on Marketing Development //Economics&Management, 2007, International Scientific Conference Proceeding , Kaunas University of Technology. - ISSN 1822-6515. – p356-362 (EBSCOhost AN 225963514)

14. Dynamics of Capital Market: Changes in Latvian Consumer Behavior // The 12th World Multi-Conference on Systemics, Cybernetics and Informatics June 29th -July 2nd, 2008 Orlando, Florida, USA. Volume VI, Proceedings. 30 – 34 p. (ISBN -13: 978-1-934272-36-7)(ar līdzautoriem)

15. What Does the E-Customer Really Wants?// International Scientific Conference „Economics and Management 2008”, Kaunas, Aprill 10-11, 2008, International Scientific Conference Proceedings – CD ROM 256.-260. pp. ISSN 1822-6515

Teaching materials

- Basics of E-Marketing. Study aid. – R.: RTU Publishing house, 2005. –

232 pp.

- Electronic Commerce. Study aid. – R.: RTU Publishing house, 2003. – 60

pp.

- Situations and cases in marketing. Study aid. – .: RTU Publishing house,

2006. – 132 pp. (with co-authors)

- Situations and cases in marketing. Study aid. – .: RTU Publishing house,

2004. – 75 pp. (with co-author)

PEDAGOGICAL WORK

Length of pedagogical work experience in higher education

2000 up to now is 11 years

Courses taught

- Marketing - Marketing Theory - E-Marketing - E-Commerce - Product Design and Development

ORGANISATIONAL SKILLS AND COMPETENCES

- Chair of Steering Committee of Annual International conference of

Economics and Managemment ICEM 2010, April 22-23, Riga (Latvia)

- Member of Steering Committee of BMDA 7th Annual Conference Flying

Through Turbulence- Transformation for the Future”, May 14-15, 2010,

Riga (Latvia)

- Chair of Steering Committee of BMDA 5th Annual Conference

Tomorrow’s Leaders”, May 8-10, 2008, Vilnius (Lithuania)

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- Chair of Organizing Committee of 1st International Summer School for

Doctoral Students “Creative Business Environment: Possibilities of

Research”, August 20-23, 2007, Riga technical University, Riga (Latvia)

- Member of Steering Committee of BMDA 5th Annual Conference “Future

of the Region – people Behind Prosperity”, May 10-11, 2007, Oslo

(Norway)

- Member of organization committee of International scientific Seminar

„Small Business management: Innovation, Strategy, Values” June, 28-30,

2006, Riga (Latvia)

- Member of organization committee of International scientific „ Knowledge

Based innovative entrepreneurship development” December 8, Riga

(Latvia)

- Member of program committee of 4th International Scientific Conference

„Business and Management” October, 5-6, 2006, Vilnius (Lithuania) - Member of organizational committee of International Scientific Seminar (EU

6th Framework Support, Project No G1RD-CT-202-00713) „Prominence”, February 18, 2005, Riga (Latvia)

ADDITIONAL INFORMATION

- Award of Riga Technical University Parliament of Students „Teacher of the Year 2010”

- Award of Riga Technical University Parliament of Students „Teacher of the Year 2009”

- Award of Riga Technical University Parliament of Students „Best Speaker of the Year 2008”

- Award of Riga Technical University Parliament of Students „Teacher of the Year 2007”

- Laureate in Award ceremony „Teachers’ award” in nomination „Best Teacher 2007”

- Laureate in Award ceremony „Teachers’ award” in nomination „Best Orator 2006”

- Laureate in Award ceremony „Teachers’ award” in nomination „Most Interesting Teacher of the Year 2006”

- Laureate in Award ceremony „Teachers’ award” in nomination „Best Teacher 2005”

- Nominated to the award „Young Researcher of RTU 2006”

Patent No. 13890, issued 12.01.2009. „The method for separation and spread of butter and

similar substances and the device of disposal”. Authors: I. Jaunzeme, E. Gaile-Sarkane, V.

Zefirova, A. Plinta, I. Ulmane, M. Ozoliņš, K. Lūkina.

Elina Gaile-Sarkane February 10, 2011

.

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Europass Curriculum Vitae

Personal information

First name(s) / Surname(s) Vjačeslavs Šitikovs

Address(es) 18/3-23 Salaspils Street, Riga, LV-1057, Latvia

Telephone(s) +371-67189917 Mobile: +371-29214062

Fax(es) +371-67089094

E-mail [email protected]

Nationality Russian

Date of birth 09/03/ 1951

Gender Male

Occupational field Associated professor of Riga Technical University

Work experience

Dates 2005 – present

Occupation or position held Associated professor

Main activities and responsibilities Responsible lector for courses: “Project Management Information Systems” (undergraduates - 2 credit points), “Application Programs” (bachelors - 2 credit points, college – 6 credit points), “Functional Programming” (bachelors, 2 credit points), “Information Systems Security” (professional bachelors, professional undergraduates – 2 credit points)

Name and address of employer Riga Technical University, 1 Kalku Street, Riga, LV-1658, Latvia

Type of business or sector Higher Education

Dates 2005 – 2008

Occupation or position held Project Manager

Main activities and responsibilities A set of European Structural Funs and 6th Framework programme projects

Name and address of employer Riga Technical University, 1 Kalku Street, Riga, LV-1658, Latvia

Type of business or sector Higher Education

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Dates 1985 - 2005

Occupation or position held Assistant professor

Main activities and responsibilities Responsible lector for courses: “Project Management Information Systems” (undergraduates - 2 credit points), “Application Programs” (bachelors - 2 credit points, college – 6 credit points), “Functional Programming” (bachelors, 2 credit points), “Information Systems Security” (professional bachelors, professional undergraduates – 2 credit points), “Multiuser Computer Systems” (bachelors - 2 credit points), “Operating Systems” (undergraduates - 2 credit points)

Name and address of employer Riga Technical University, 1 Kalku Street, Riga, LV-1658, Latvia

Type of business or sector Higher Education

Dates 2000 - 2001

Occupation or position held Research and Development Direcor

Main activities and responsibilities Various Web- projects (UML, Java, XML, Linux)

Name and address of employer Comwell Systems Ltd., 70 Dzelzavas Street, Riga, LV-1035, Latvia

Type of business or sector Software development company

Dates 1996 - 1999

Occupation or position held Head of Banking Technology Department

Main activities and responsibilities Provision and monitoring of ongoing banking operations, development and implementation of new banking products and services

Name and address of employer Parex Bank, 3 Smilsu Street, Riga, LV-1522, Latvia

Type of business or sector Banking

Dates 1995 - 1997

Occupation or position held Project Manager

Main activities and responsibilities New banking systems selection

Name and address of employer Parex Bank, 3 Smilsu Street, Riga, LV-1522, Latvia

Type of business or sector Banking

Dates 1991 - 1991

Occupation or position held Project Manager

Main activities and responsibilities International projects development and implementation

Name and address of employer Joint Soviet-American Venture “Laiks-MS”, 3a Eksporta Street, Rīga, LV-1010, Latvia

Type of business or sector Software development company

Dates 1983 - 1990

Occupation or position held research assistant combined job

Main activities and responsibilities Team leader of large-scale cooperative projects

Name and address of employer Riga Technical University, 1 Kalku Street, Riga, LV-1658, Latvia

Type of business or sector Higher Education

Dates 1984 - 1985

Occupation or position held Senior Lecturer

Main activities and responsibilities Responsible lector for courses: “Operating Systems”, “Local Networks”, “System Programming”, “Basics of Programming Automation”

Name and address of employer Riga Technical University, 1 Kalku Street, Riga, LV-1658, Latvia

Type of business or sector Higher Education

Dates 1983 - 1984

Occupation or position held Assistant

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Main activities and responsibilities Responsible lector for courses: “Programming”, “Software Systems”

Name and address of employer Riga Technical University, 1 Kalku Street, Riga, LV-1658, Latvia

Type of business or sector Higher Education

Dates 1980 - 1983

Occupation or position held research assistant

Main activities and responsibilities Team leader of large-scale cooperative projects

Name and address of employer Riga Technical University, 1 Kalku Street, Riga, LV-1658, Latvia

Type of business or sector Higher Education

Dates 1978 - 1980

Occupation or position held post-graduate student

Main activities and responsibilities Technical Cybernetics. Thesis “Models and Methods of Representing of Learning Programs and Their Implementation in the Computer-based Dialogues Systems”

Name and address of employer Riga Technical University, 1 Kalku Street, Riga, LV-1658, Latvia

Type of business or sector Higher Education

Dates 1974 - 1978

Occupation or position held Assistant

Main activities and responsibilities Workshops on the course “Programming”

Name and address of employer Riga Technical University, 1 Kalku Street, Riga, LV-1658, Latvia

Type of business or sector Higher Education

Dates 1973 - 1974

Occupation or position held Senior Programmer

Main activities and responsibilities Programming

Name and address of employer Riga Technical University, 1 Kalku Street, Riga, LV-1658, Latvia

Type of business or sector Higher Education

Education and training

Dates 2009

Title of qualification awarded Certified Specialist

Principal subjects/occupational skills covered

Technical, Administrative, Financial and Legal Aspects of FP7 Project Preparation and Completion

Name and type of organisation providing education and training

European Commission Information Society Directorate General

Level in national or international classification

European

Dates 2009

Title of qualification awarded Certified Specialist

Principal subjects/occupational skills covered

Pedagogical skills development

Name and type of organisation providing education and training

Riga Technical University.

Level in national or international classification

International

Dates 2007 -2009

Title of qualification awarded Professional Development Unit

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Principal subjects/occupational skills covered

Project Management Body of Knowledge

Name and type of organisation providing education and training

International Institute for Learning, Inc.

Level in national or international classification

International

Dates 2006

Title of qualification awarded Renewal of PMP (Project Management Professional)

Principal subjects/occupational skills covered

Project Management Body of Knowledge

Name and type of organisation providing education and training

Project Management Institute, Not-for-Profit Professional Association

Level in national or international classification

Global Association

Dates 2003-2006

Title of qualification awarded Awarded 14 PDU (Professional Development Unit) in the area of Project Management

Principal subjects/occupational skills covered

Project Management Body of Knowledge

Name and type of organisation providing education and training

International Institute for Learning, Inc.

Level in national or international classification

International

Dates 2004

Title of qualification awarded Certified Specialist

Principal subjects/occupational skills covered

Technical, Administrative, Financial and legal Aspects of IST Project Preparation and Completion

Name and type of organisation providing education and training

European Commission: Information Society Directorate General

Level in national or international classification

European

Dates 2004

Title of qualification awarded Certified Project Manager

Principal subjects/occupational skills covered

European Structural Funds Projects Management

Name and type of organisation providing education and training

Ministry of Education and Science of Latvian Republic and “Infosab” Ltd.

Level in national or international classification

National

Dates 2003

Title of qualification awarded Project Management Professional (PMP)

Principal subjects/occupational skills covered

Project Management Body of Knowledge

Name and type of organisation providing education and training

Project Management Institute, Affiliation in Sank. Petersburg

Level in national or international classification

International

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Dates 2003

Title of qualification awarded Certified Project Manager

Principal subjects/occupational skills covered

Project Management Body of Knowledge

Name and type of organisation providing education and training

International Management Institute of Saint Petersburg

Level in national or international classification

International

Dates 1996

Title of qualification awarded Certified System “GLOBUS” Specialist

Principal subjects/occupational skills covered

Banking Systems Development and Implementation

Name and type of organisation providing education and training

TEMENOS SYSTEMS (UK) Ltd.

Level in national or international classification

International

Dates 1992

Title of qualification awarded Certified Balance Accountant

Principal subjects/occupational skills covered

LTD. bookkeeping

Name and type of organisation providing education and training

Buhservice, Ltd.

Level in national or international classification

National

Dates 1978

Title of qualification awarded OS/360 programmer

Principal subjects/occupational skills covered

Programming

Name and type of organisation providing education and training

Scientific-Educational Centre” Algorithm”

Level in national or international classification

National

Dates 1977

Title of qualification awarded OS/360 System programmer

Principal subjects/occupational skills covered

System Programming

Name and type of organisation providing education and training

Scientific-Educational Centre” Algorithm”

Level in national or international classification

National

Personal skills and competences

Mother tongue(s) Russian

Other language(s)

Self-assessment Understanding Speaking Writing

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European level (*) Listening Reading Spoken interaction Spoken production

Latvian C2 Proficient user C2 Proficient user C2 Proficient user C2 Proficient user C2 Proficient user

English C1 Proficient user C2 Proficient user C1 Proficient user C1 Proficient user C1 Proficient user

(*) Common European Framework of Reference for Languages

Social skills and competences Good communication and presentation skills gained during long time of pedagogical experience.

Organisational skills and competences

Good experience in project management and team leading gained during a set of managed projects and development and implementation of developed software products. Good experience in HR management being for 4 years the head of department with 50 staff.

Technical skills and competences Good experience in banking software and informational systems security being the member of Information security committee and the author of Security Policy of large commercial bank.

Computer skills and competences Very good skills and knowledge being experienced teacher in application programs for university students.

Other skills and competences Tourism, good swimmer.

Driving licence Category B

Additional information Author or co-author of more than 100 scientific and methodological publications (19 during last 2 years) and 17 scientific reports. Member of IEEE, EDEN, EuroScience, constant member of 4 International conferences Programme Committees.

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C U R R I C U L U M V I T A E

PERSONAL INFORMATION

First name, last name Uldis Sukovskis

Citizenship Republic of Latvia

Telephone +371 7089303

E-mail [email protected]

EDUCATION AND ACADEMIC GRADES

2008 Corresponding member of Latvian Academy of Science

1992 Dr.sci.ing., Information Technology

1975 Riga Polytechnical Institute (Riga Technical University). Higher education in Applied Mathematics

SEMINARS AND COURSES

2010 Experiences in Education, Education and New Learning Technologies, Barcelona

2008 Quality Assurance in Higher Education, International Seminar, Riga

2008 Attractiveness of Science and Technology Education – Problems and Solutions with Student Enrolment in

Science and Technology Programs, International Seminar

2002 Information Systems Audit and Control Association (ISACA), Certified Information Systems Auditor

(CISA).

2001 Lloyd's Register Quality Assurance ISO 9001:2000 Course for internal auditors, Riga

2001 Rapid Economic Justification Workshop, Microsoft, Riga

1999 Decision Base, Celemi International AB, Sweden, KIC Ltd., Riga

1998 Internal Project Management Audit, RITI, Riga

WORK EXPERIENCE

1975 - present Riga Technical University (former Riga Politechnical Institute). Assistant, Lecturer, Docent, Assoc.

Professor, Professor (since 2004), Dean of Faculty of Computer Science and Information Technology (2005-

2007), Vice-rector for Academic Affairs (since 2007).

1995 - present Exigen Services, Riga Information Technology Institute. Director, IT Consulting and Audit.

1994 - 1995 SWH Informatīvās Sistēmas Ltd. Group manager.

1991 - 1993 Software House Riga. Software developer.

PUBLICATIONS (RECENT)

1. Klimavicius M., Sukovskis U. Business process driven data warehouse development,

Scientific Proceedings of Riga Technical University, 5th series, Computer Science, Applied

Computer Systems, Vol.22, RTU, 2005, pp. 242-248 (EBSCO)

2. Klimavicius M., Sukovskis U. Risk management methodology for data warehousing projects,

ISD'2005 Proceedings of the Fourteenth International Conference on Information Systems

Development, Karlstad University Studies, 2005, pp. 231-241(EBSCO)

3. Šmite D., Sukovskis U. Knowledge Management in Distributed Environment, Industrial

Proceedings of the International Conference on European Software Process Improvement

(EuroSPI), November 2005, Hungary, pp. 515-5.22.

4. Nikulshins V., Nikiforova O., Sukovskis U. Analysis of Activities Covered by Software

Engineering Discipline, Databases and Information Systems, Seventh International Baltic

Conference on Databases and Information Systems, Communications, VGTU Press

„Technika” scientific book No 1290, Vilnius, Lithuania, 2006, pp. 130-138

5. Nikiforova O., Kirikova M., Sukovskis U. Two hemisphere model driven architecture for

knowledge map development in the task of study program analysis, in: Scientific Proceedings

of Riga Technical University, Computer Science, Applied Computer Systems, the 5th series,

Vol. 26, Riga, Latvia, RTU, 2006, pp. 112-123 (in Latvian), ISSN 1407-7493.

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6. Klimavicius M., Sukovskis U. Applying MDA and universal data models for data warehouse

modeling, Proceedings of 10th WSEAS International Conference on Automatic Control,

Modelling and Simulation, WSEAS Press, 2008, pp. 332-337 (ACM)

7. Teilans A., Kleins A., Sukovskis U., Merkuryev Y., Meirans I. A meta-model based approach

to UML modelling. Proceedings of EUROSIM/UKSIM 10th International Conference on

Computer Modelling & Simulation, Cambridge, UK, IEEE, 2008, pp. 667-672 (SCOPUS,

Engineering Village, IEEE, ACM)

8. Kirikova M., Grundspenkis J., Sukovskis U. Educational “Ecosystem” for Information

Systems Engineering, Proceedings of the TMCE 2008 Symposium, Izmir, Turkey, 2008,

pp.769-783 (Millpress Science Publishers)

9. Nikulsins V., Nikiforova O., Sukovskis U. Mapping of MDA Models into the Software

Development Process, Databases and Information Systems, Proceedings of the Eighth

International Baltic Conference Baltic DB&IS 2008, H.-M. Haav and A. Kalja (Eds.), Tallinn

University of Technology Press, Tallinn, Estonia, June 2-5, 2008, pp. 217-226.

10. Nikulsins V., Nikiforova O., Sukovskis U. Principles of Model Driven Architecture for the

task of study program development. SEFI 36th Annual Conference, July 2-5 2008, Aalborg,

Denmark, 8 p.

11. Kirikova M., Strazdina R., Sukovskis U. Supporting inter-institutional knowledge feedbacks

in the context of engineers' educational system. International Conference of Education,

Research and Innovation (ICERI 2008), November 17-19, 2008, Madrid, Spain, 10 p.

12. Nikiforova O., Nikulsins V., Sukovskis U. Integration of MDA Framework into the Model of

Traditional Software Development, Databases and Information Systems V - Selected Papers

from the Eighth International Baltic Conference, DB&IS 2008, by IOS Press in the series

"Frontiers in Artificial Intelligence and Applications", Volume 187, pp.229-239, 2009

(SCOPUS, DBPL)

13. Kirikova M., Strazdiņa R., Andersone I., Sukovskis U. Quality of Study Programs: an

Ecosystems Perspective. 13th East-European Conference on Advances in Databases and

Information Systems (ADBIS 2009), 2009. 8 p. (SprigerLink, Engineering Village, DBPL)

14. Strazdina R., Kirikova M., Sukovskis U., Zitmanis Z., Grevins J. An Ecosystem Approach to

a Cross-Disciplinary Education // International Conference on Education and New Learning

Technologies EDULEARN10, ISBN: 978-84-613-9386-2, International Association of

Technology, Education and Development (IATED), 2010. 8 p.

MEMBERSHIP

Riga Technical University Senate, Member.

Information Technology Commission of RTU Senate, Chairmen.

Legislative Commission of RTU Senate, Member.

Strategy Commission of RTU Senate, Member.

Riga Technical University Doctoral Board P-0, Member.

Faculty of Computer Science and Information Technology Council. Chairman (2005-2007), Member.

RTU Institute of Applied Computer Systems, Board Member.

RTU Riga Business School Council, Chairman.

Riga Information Technology Institute Council, Member (until 2009).

Latvian Information Technology and Telecommunications Association, Member.

ISACA Latvia Chapter, Vice-president (2005-2008), Member.

The Baltic Sea Region University Network Steering Committee, Substitute Member.

International Software Testing Qualification Board, Latvia Chapter Board Member.

JSC DATI Board, Deputy Chairmen, Member (2003-2004)

Information Technology, Telecommunications and Electronics Vocational Education Board, Member (2001-

2007)

Member of several organizing and program commissions ( ISD, ADBIS, IBIMA, DB&IS, BIR etc. program

commissions, ADBIS 2009, CAISE2004 organizing commissions).

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CURRICULUM VITAE

PERSONAL INFORMATION

First name, surname: Zoja Sundukova

E-mail: [email protected]

Telephone at work: +371 67089324

Date of birth: 01.02.50.

LANGUAGE PROFICIENCY

Mother tongue: Russian

Other languages: Latvian (highest proficiency level)

English (conversational level)

EDUCATION

1968 – 1972

Riga Polytechnical Institute (RPI)

Engineer – economist, diploma No. 385799;

1967 – 1968

Kaunas Polytechnical Institute

Vilnius Affiliation.

SCIENTIFIC DEGREES

11 December 1992

Doctor of economic sciences (Dr. oec.)

Riga Technical University (RTU), Habilitation Council H-09, Dr.oec. diploma BD 000396;

16 May 1989

Degree of candidate of economic sciences

Latvian Academy of Sciences

Institute of Economics

Diploma No.029562.

PROFESSIONAL ADVANCEMENT

10 October 2007

Conference ”Competitiveness – a cornerstone of the future of national economy of Latvia”

organized by the Bank of Latvia;

18 October 2006

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Conference ”Latvia on the road to well-being: growth potential and visions” organized by the

Bank of Latvia;

2005

Computer courses (Diploma No.60R0217-05; Diploma No. 20R0221-05);

26 October 2004

Seminar “Nordic research and innovation co-operation with Latvia”. – Riga: Nordic Council of

Ministers’ Information Office in Latvia and relevant Nordic institutions;

3 June 2004

Seminar organized within the framework of Global Day of Environment “On safe and

orderly environment“. – Riga: L&T Hoetika;

22 October 2003

Seminar “Instruments for improving operation for producers”. – Riga: SIA “Tyke”;

18 October – 29 November 2001

Courses for advancing accountants qualification organized by SIA “Latvikon”. (Certificate

No. 29/11-6).

WORK EXPERIENCE

2006 to present

Riga Technical University (RTU)

Faculty of Engineering Economics (FEE)

Associated Professor;

1990 – 2006

RTU FEE

Assistant Professor;

1 September 2005 – 31 July 2006

SIA “Improvs”, financial consultant;

1991 – 2002

SIA “Vairogs-89”, chief accountant;

1989-1991

Cooperative society “Vairogs-89”, chief accountant;

1975 – 1990

Riga Polytechnical Institute (RPI) FEE

Senior lecturer;

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1973 – 1975

RPI FEE

Senior lab-assistant.

RESEARCH WORK AND PARTICIPATION IN ACADEMIC PROJECTS

01.10.2007 – 30.09.2008

RTU research project “Analysis and evaluation of factors affecting sustainable development

of Latvian small and medium-sized enterprises” (ZP-2007/15), execution of the project.

01.06.2006 – 31.12.2006

Grant of the LR Ministry of Education and Science for project No. U7111 ”Development of

the system of evaluation of performance results of Latvian small and medium-sized

enterprises”, execution of the project.

March – May 2005

Research project of the Association of Entrepreneurs of Machine-building and Metal

Processing Association ”Establishment of human resources potential in the sector of Latvian

machine-building and metal processing, development of the strategy for attracting new

specialists to the industry by applying advertising activities and incentive schemes”,

execution of the project.

PUBLICATIONS

Scientific publications

1. Sundukova Z., I. Jevinga. Research of students’ motivation to study // Education and economy 2007: Materials of international scientific conference. – Tallinn, Tallinn University of Technology, 2007. – pp. 131-132.

2. Lāce N., Sundukova Z. Regional development problems of small and medium-sized enterprises in Latvia // Economic and management trends. Volume 1, No. 01, 2007. – Czech Republic: Brno University of Technology, 2007. – pp. 46-55.

3. Lāce N., Sundukova Z. Challenges of small business management in Latvia // 5th International scientific conference ”Management and engineering _ 07”, June 18-22 2007 Sozopol, Bulgaria: Scientific Proceedings of the Scientific and Technical Association of Mechanical Engineering. Jan XIV, Volume 2 (97), June 2007. ISSN 1310-3946. – Sozopol, Bulgaria: Technical University. Sofia, 2007. – pp. 407-409.

4. Lāce N., Sundukova Z. Key performance indicators for small business // 4th international scientific conference ”Business and management” 2006, 14th international scientific conference ”Enterprise management: diagnosis, strategy, efficiency” Selected Papers. 5 – 6 October 2006, Vilnius, Lithuania. – Vilnius: VGTU Press ”Tecnika”, 2007. – pp. 41-46.

5. Sundukova Z., Puceviča S. Development of craft in Latvia and crafts assessment system // Vadyba (Management): Vilnius University Research Papers, 2006 No.3-4 (12-13). – Vilnius, Vilnius University, 2006. – pp. 93-104.

6. Lāce N., Sundukova Z. Small business performance evaluation on the basis of balanced scorecard // Global economy and business – administration of small and medium-sized enterprises. Proceedings of the 4th international scientific seminar, Minsk, 1-2 2006. – Belarus National Technical University. – Minsk: BNTU, 2006. – pp. 92-95.

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7. Sundukova Z., Evinga I. Use of the Internet for teaching correspondence students. // Global economy and business – administration of small and medium-sized enterprises. Proceedings of the 4th international scientific seminar, Minsk, 1-2 February 2006, Belarus National Technical University. – Minsk, BNTU, 2006. – 232-235.

8. Sundukova Z., Puceviča S. The system of criteria for evaluation of labour resources in the crafts sector // Vadyba (Management): Vilnius University Research Papers, 2006 No.1 (10). – Vilnius, Vilnius University, 2006. – pp. 101 – 111.

9. Lace N., Sundukova Z. On problems of evaluation of effectiveness of business management // problems of development of national economy and entrepreneurship: Proceedings of the international conference. Riga, 13-15 October 2005. – Riga: RTU Publishing House 2006. – pp.127- 133.

10. Lace N., Sundukova Z. The role of managerial reports in decision-making // Acta Universitatis Latviensis. Volume 690. Management science. – Riga: University of Latvia, 2005. – pp. 223-230.

11. Didenko K., Sundukova Z. On the problem of development of economic analysis // Economic Proceedings of the Ukrainian National University ”Kiev Polytechnical Institute”, 2005(2). – Kiev UNU ”KPI”, 2005. – pp. 11-15.

12. Sundukova Z. On the specifics of the systemic approach to cost management // International conference proceedings ”Problems of development of national economy and entrepreneurship”. – Riga: RTU Publishing House, 2005. – pp. 310-318.

13. Sundukova Z. Effective use of production resources at wood working enterprises in Latvia // management of organisation: diagnostics, strategy, effectiveness. Proceedings of the 13th scientific conference, 7-8 April 2005. – St.Petersburg: Publishing House of the Polytechnical University, 2005. – pp. 155-157.

14. Sundukova Z. Development of the methodology of economic analysis // International conference proceedings ”Problems of development of national economy and entrepreneurship”. – Riga: RTU Publishing House, 2004. – pp. 220-227.

15. Sundukova Z. Development of theoretical aspects of comprehensive evaluation of theoretical aspects of performance results of an enterprise. // International scientific proceedings of a higher schools. – Riga: RTU, 2001. – pp. 47.-52.

Teaching and methodological aids

1. Regulations on the elaboration and defence of the diploma thesis in the professional Master study programme ”Entrepreneurship and management” for being awarded the qualification „Economist / A. Magidenko, K. Didenko, N. Lāce, Z.Sundukova, J. Ķipsna. - Riga: RTU Publishing House, 2005. – 36 p.

2. Jevinga I., Sundukova Z. Fundamentals of financial accounting. Study aid. – Riga: RTU Publishing House, 2004. – 111 p.

3. Lāce N., Sundukova Z. Economics of an enterprise: Methodological guidelines for elaboration of the course paper. – Riga: RTU Publishing House, 2003. – 46 p.

4. Didenko K., Sundukova Z. Theoretical fundamentals of economic analysis: Summary of lectures. – Riga: RTU Publishing House, 2003. – 71 p.

5. Sundukova Z., Jevinga I. Economics of an enterprise: fundamentals of entrepreneurs. Study aid. – Riga: RTU, 2002. – 33 p.

PARTICIPATION IN SCIENTIFIC CONFERENCES

26-27October 2007

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International academic conference ”Education and economy 2007”, Educational Research

Centre of Tallinn University of Technology and TTU Tallinn College.

Report: Research of students’ motivation to study. (Co-reporter I.Jevinga);

12-14 September 2007

Scientific conference on the occasion of the 15th anniversary of the establishment of

Business and Management Brno University of Technology, Brno, Czech Republic,

Report: Regional development problems of small and medium-sized enterprises in Latvia.

(Co-reporter N. Lāce);

6-7 September 2007

17th international scientific conference dedicated to the 55th anniversary of the foundation

of the Department of Economics and Management of Chemical and Food Industry CHTF

SVŠT and the Department of Economics and Management of Chemical and Food Industry

FCHI VŠCHT ”Modern Approaches to Corporate Management”, Bratislava, Slovak Republic,

Report: Effective cost management as a prerequisite for the development of small business.

(Co-reporter N. Lāce);

18-22 June2007

5th international scientific conference ”Management and Engineering „07”, Sozopol,

Bulgaria, Faculty of Management Technical University, Sofia, Bulgaria.

Report: Challenges of small business management in Latvia. (Co-reporter N. Lāce);

8 December 2006

International scientific seminar organized by RTU „Development of knowledge-based

innovative entrepreneurial activity”, RTU, Riga.

Report: Innovations in managerial accounting;

5-6 October 2006

4th international scientific conference “Business and Management”, 14th international

scientific conference “Enterprise management: diagnosis, strategy, efficiency”, Vilnius,

Lithuania.

Report: Key performance indicators for small business. (Co-reporter N. Lāce);

29-30 June 2006

International scientific seminar ”Small business management: innovation, strategy, values”,

RTU, Riga.

Report: Performance measurement system for a fuel trade enterprise” (Co-reporter D.

Dzalbe);

1-2 February 2006

4th international scientific seminar „Global economy and business – administration of small

and medium-sized enterprises”, Minsk, Belarus national technical University.

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Reports: Small business performance evaluation based on the balanced scorecard. (Co-

reporter N. Lāce); Use of the Internet in educating correspondence students. (Co-reporter I.

Jevinga);

7-8 December 2005

International scientific conference “Progressive methods and tools of management and

economics of enterprises”. Brno, Czech Republic, Brno University of Technology.

Report: Challenges of SMEs performance evaluation in Latvia” (Co-reporter N. Lāce);

23-24 September 2005

International scientific conference “Business development possibilities in the new European

area”, Vilnius University, Lithuania.

Report: The system of criteria for labour resource evaluation in the crafts business” (Co-

reporter S. Puceviča);

13-15 October 2005

RTU 46th international scientific conference „Problems of national economy and

entrepreneurship”, Riga.

Report: On problems of evaluation of effectiveness of management of an enterprise;

4 February 2005

63rd scientific conference of the university of Latvia. Section of Management science.

Report: The role of managerial reports in decision-making. (Co-reporter);

14-17 October 2004

RTU 45th international scientific conference ”Problems of development of national

economy and entrepreneurship”, Riga.

Report: Use of the approach of the determined factor analysis in cost management;

9-11 October 2003

RTU 44th international scientific ”Problems of development of national economy and

entrepreneurship”, Riga.

Report: development of the methodology of risk analysis.

PEDAGOGICAL WORK

Pedagogical work experience in higher education – 34 years

Lecture courses taught:

Academic Master study programme: ”Managerial accounting”, ”Scientific seminars”,

”Financial statements”, ”Financial analysis and planning”, ”Managerial accounting and

project analysis”;

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Professional Master study programme (correspondence department): ”Economics of

entrepreneurship”, ”Methods of economic analysis”;

Professional Bachelor study programme (correspondence department): ”Economics of

entrepreneurship”, ”Economics of an enterprise”.

ORGANISATIONAL RESPONSIBILITIES AND ASSIGNMENTS

11-12 January 2008

Member of the Programme and Organisation Committee of the international scientific

seminar ”Towards knowledge-based economy”, Riga;

12-13 April 2007

Member of the Organisation Committee of the dual international scientific conference

”Towards knowledge-based economy” & ”Enterprise management: diagnostics, strategy,

effectiveness”, Riga;

5-6 October 2006

Member of the reviewers board of the 14th international scientific conference ”Business and

managements” & ”Enterprise management: diagnosis, strategy, efficiency”. Vilnius,

Lithuania;

29-30 June 2006

Member of the Programme and Organisation Committee of the international scientific

seminar ”Small business management: innovation, strategy, values”, Riga;

18 February 2005

Member of the Organisation Committee of the international scientific seminar “Trends and

drivers in implementing international collaboration between European enterprises” within

the framework of the project “PROMINENCE – Promoting Inter-European Networks of

Collaborating of Extended Enterprise” (contract G1RD-CT-202-00713), Riga.

ADDITIONAL INFORMATION

2006

Certificate of appreciation by the RTU FEE Dean on the occasion of the 40th anniversary of

the FEE and 25 years of teaching in a higher school;

2005

Certificate of appreciation by the RTU FEE Dean on the occasion of the anniversary of the

Chair of Economics of Production and Entrepreneurship;

06.04.2005

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Winner of the contest of RTU methodological conference ”For the best methodological aid”,

order No. 21-142;

20.04.2004

Winner of the contest of RTU methodological conference ”For the best methodological aid”,

order No. 21-117;

23.05.2003

Winner of the contest of RTU methodological conference ”For the best methodological aid”,

order No. 21-127;

2002.

Certificate of appreciation by the RTU FEE Dean for excellent performance on the occasion

of the 140th anniversary of RTU.

2002.

Certificate of recognition ”For training high quality specialists”, Latvia Education Foundation

and the state joint stock company VAS “Latvijas Dzelzceļš”.

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CURRICULUM VITAE

PERSONAL INFORMATION

First name, surname: Ludmila Vasilyeva

E-mail: [email protected]

Telephone at work: 7089486

Identity number: 070944-10117

LANGUAGE PROFICIENCY

Mother tongue Russian

Other languages Latvian, English

EDUCATION

1966 Riga Polytechnic Institute, mechanical engineer

SCIENTIFIC DEGREES

1992 Riga, RTU Habilitational Council H-09, economical doctor.

1972 Candidate of economy, Latvian University

Doctor work „ The Evoluation of mashines by method of elementcoefficients’’

PROFESSIONAL ADVANCEMENT

1.CERTIFICATE ’’SMALL BUSINESS MANAGEMENT:INNOVATION,

STRATEGY, VALUES’’within the scientific project’’Designing of Performance

Evalution System of Latvian Small Enterprises’’, 29-30 June 2006, Riga

2. CERTIFICATE ’’DEVELOPMENT OF INNOVATIVE ENTREPRENEURSHIP

BASED ON KNOWLEDGE MANAGEMENT’’within the scientific

project’’Development of Economic Knowledge Management Based Innovative

Enrepreneurship in Latvia’’,

8 December ,2006, Riga

3. CERTIFICATE ’’ TOWARDS KNOWLEDGE-BASED ECONOMY.

ENTERPRISE MANAGEMENT: DIAGNOSTICS, STRATEGY,

EFFECTIVENESS. ’’ International scientific dual-conference,held on 12-13 April,

2007, Riga

WORK EXPERIENCE

2006 Riga Technical University, asoc. professor

1990 -2006 Riga Technical University, assistant professor

1973-1990 Riga Polytechnic Institute, assistant professor

1970-1973 Riga Polytechnic Institute, senior lecturer

1966-1970 Riga Polytechnic Institute, assistant

1966 Riga Electromechanical Works, engineer

RESEARCH WORK AND PARTICIPATION IN THE ACADEMIC PROJECTS

1. Projects SOCRATES Erasmus Thematic Network ” Teaching and Research

in Engineering in Europe’’, from 2004

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PUBLICATIONS

Scientific publications

1. Lauku tūrisma ietekme vides ekonomikā// Problems of development of national economy

and entrepreneurship // Proceedings of the international scientific conference.- Riga: RTU,

2006.- 210.-219. p.

2. Zemnieku saimniecības ietekme uz apkārtējo vidi. // Problems of development of national

economy and entrepreneurship // Proceedings of the international scientific conference.-

Riga: RTU, 2007.- 198.-206. p.

3. Vieglo automašīnu pieprasījuma un piedāvājuma problēmas Latvijā // Tautsaimniecības un

uzņēmējdarbības attīstības problēmas/// Problems of development of national economy and

entrepreneurship // Proceedings of the international scientific conference.- Riga: RTU,

2008.- 18.-27. p.( co-authors E. Egle and K. Kruzs )

4.Radaru diagrammu izmantošana inovāciju novērtēšana mazajā biznesā//Ekonomics

research in business: 6.book.-Riga,RTU, 2008.-56.-62.p.( co-author N.Ivanova)

5.Konkurētspējas paaugstināšanas problēmas pārtikas ražošanā//Ekonomics research in

business: 6.book.-Riga,RTU, 2008.-63.-74.p.( co-author L. Kovalevska)

6.Attīstības stratēģijas pilnveidošana jūras kravu pārvadājumos//Ekonomics research in

business:7.book.-Riga,RTU, 2009.-60.-68.p.( co-author N.Ludinovska)

7.Valsts ieņēmumu dienesta klientu apkalpošanas sistēmas attīstība Latvijā. //Ekonomics

research in business:8.book.-Riga,RTU, 2010.-74.-85.p.( co-author S. Isajeva)

8 . Ražošanas uzņēmumu konkurētspējas nodrošināšana Latvijā//Ekonomics research in

business:8.book.-Riga,RTU, 2010.-51.-64.p.( co-author A.Glebova)

Teaching materials

1. The fundamentals of creature of small enterprises:- Riga, RTU, 2006,165 p

2. Economic of environment/ Text book:- Riga, RTU, 2007, 190 p.

3. Economic fundamentals of energetic:- Riga, RTU, 2008, 117 p.

4. Bussines economic:- Riga, RTU, 2011, 75 p. .( co-author K. Didenko, I Ovchinnikova)

PARTICIPATION IN SCIENTIFIC CONFERENCES

1. THE USING OF THE RADAR DIAGRAMS IN EVALUATION OF SMALL BUSINESS/

’’DEVELOPMENT OF INNOVATIVE ENTREPRENEURSHIP BASED ON

KNOWLEDGE MANAGEMENT’’WITHIN the scientific project’’Development of

Economic Knowledge Management Based Innovative Enrepreneurship in Latvia’’,

International scientific dual-conference,held 2006.g.,8. december , Riga

2. KNOWLEDGE- BASED MANAGEMENT OF POWER ENTERPRISE/

’’ TOWARDS KNOWLEDGE-BASED ECONOMY. ENTERPRISE

MANAGEMENT: DIAGNOSTICS, STRATEGY, EFFECTIVENESS. ’’

International scientific dual-conference,held on 12-13 April, 2007, Riga

3.Problems of development of national economy and entrepreneurship // International

scientific conference..held on 11-13. October 2008, Riga

4.ATRACTING FUNDING FOR COLLOBARATIVE PROJECTS IN LATVIJA“Scientific Conference

on Economics and Entrepreneurship”, held on 7. Oktober,2011 ,Riga

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PEDAGOGICAL WORK

Length of pedagogical work experience in higher education-40 years

Courses taught

Lectures for bachelor’s, engineers, master’s programme students on

“Business Economics and Planning of Small Businesses”,

“Economics of Environment”,

“Economics of Entrepreneurship”,

“Planning of Business”,

” Economics of Energetic”.

ORGANISATIONAL SKILLS AND COMPETENCES

1. Deputy of the bachelor’s papers Defence Committee.

2. Deputy of the master’s papers Defence Committee.

3. Member of the student’s scientific conference Committee of the cathedral of Economics

of Production and Entrepreneurship.

4. Expert of “Agenda 21” of Riga Council till 2010 year.

ADDITIONAL INFORMATION

Records of Recognition

1. For training highly qualified specialists. “Agenda 21” of Riga Council,2005

2. Honour Worker of Riga Technical University from 1997 year

20 of October, 2011 year L. Vasilyeva

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Prof. Janis Viba (CV)

Dr.habil.sc.ing., Director of Institute of Mechanics RTU, Head of Department of Theoretical

Mechanics and Strengs of Materials.

(http://www.lza.lv/scientists/vibaj.htm)

Interests: Engineering Mechanics; Mechanical Engineering; Vibration and Shock; Optimal Control ; Car Crashes.

Brief Description of Main Research: Development of methods of optimal control theory for impulse or shock

systems, practical use of effects of vibration and shock, and protection against vibration, with a view to develop new systems for vibration transporters, vibration hammers, vibration instruments, impact dampers and start - stop drives with adaptive control.

Languages: English, Latvian, and Russian.

Education: Riga Technical University (Faculty of Mechanical Engineering), 1960. Postgraduate, Department of Strength of

Materials, Riga Technical University, 1962-1965. Dr.sc.ing. (Candidate of Sciences in former USSR, Ph.D. in Western

countries), Riga Technical University, 1968. Dr.habil.sc.ing. (Doctor of Sciences in former USSR), Leningrad Polytechnic Institute, Russia, 1983.

Experience: Riga Technical University: Senior laboratory assistant, Assistant, Department of Production and

Automation, 1960-1962. Senior Lecturer and Associate Professor, Department of Theoretical Mechanics, 1965-1975. Head of

Department of Theoretical Mechanics, 1975 – 2002. Professor of Department of Theoretical Mechanics, 1983- 2006. Director of

Institute of Mechanics, 1998 – 2006.

Honours and Awards: Corresponding Member, Latvian Academy of Sciences, 1992 - ; Latvian State Prize, 1989.

Canders Prize, 2004.

Professional Activities and Memberships: Member, Latvian Union of Scientists. Expert, Latvian Council of

Science, 1990 - Member and Chairman of Workshop, Latvian National Committee of Mechanics, 1993 - Chairman, RTU

Council for Professors' election in branch "Mechanics" Member, RTU Promotion Council (Mechanics and Mechanical Engineering) Chairman, RTU Students Scientifical and Technical Union, 1976 - Member of Presidium of Latvian Professors'

Association, 1995 -

Recent/Representative Publications: 1. Cifanskis, S.; Armada, M.; Akinfiev, T.; Viba, J. & Jakushewich, V. HIGH

VOLTAGE DISCHARGE SYSTEM FOR GRANULATING HARD MATERIALS. 4th International DAAAM Conference. "INDUSTRIAL

ENGINEERING INNOVATION AS COMPETITIVE EDGE FOR SME". 29 - 30thApril 2004, Tallinn, Estonia. P. 185. - 188.

2. Gonca, V.; Grasmanis, B. & Viba, J. INVESTIGATION OF OBLIQUE IMPACT IN TRAFFIC ACCIDENTS. 4th International DAAAM

Conference "INDUSTRIAL ENGINEERING INNOVATION AS COMPETITIVE EDGE FOR SME". 29 - 30thApril 2004, Tallinn, Estonia.

p. 23. - 26.

3. Mironovs, V.; Viba, J. LIFTING OF FERROMAGNETIC POWDERS. 4th International DAAAM Conference "INDUSTRIAL

ENGINEERING INNOVATION AS COMPETITIVE EDGE FOR SME". 29 - 30thApril 2004, Tallinn, Estonia. P. 215. - 218.

4. Kononova, O.; Viba, J. & Akinfiev, T. IMPACT SYSTEM RESTITUTION COEFICIENT DEPENDENCE ON GEOMETRY. . 4th

International DAAAM Conference "INDUSTRIAL ENGINEERING INNOVATION AS COMPETITIVE EDGE FOR SME". 29 - 30thApril

2004, Tallinn, Estonia. P. 43.- 46.

5. Viba, J.; Polukoshko, S. SIMULTANEOUS COLLISIONS OF RIGID BODIES IN MORE THAN ONE POINT. 4th International DAAAM

Conference "INDUSTRIAL ENGINEERING INNOVATION AS COMPETITIVE EDGE FOR SME". 29 - 30thApril 2004, Tallinn, Estonia.

p. 298. - 301.

6. Tamužs V., Viba J. Education in Mechanics in Latvia Higher Schools. 21 st International Congress of Theoretical and Applied

Mechanics. August 15 - 21, 2004. Warsaw, Poland.

7. J. Viba, B. Grasmanis, I. Tipans, J. Fontaine. JUMPING, FLAYING AND IMPACT MOTION OF AN OBJECT. Динамика

виброударных (сильно нелинейных) системю XIV Международный Симпозиумю Росийская Академия Наук. Москва -

Звенигород. 2003.

8. Maris Eiduks, Janis Viba, Lauris Shtals, Edgars Kovals, Stanislavs Noskovs. Fluid flow vibration excitation by the control of

interaction surfaces. Proceedings, Volume 10, May 26-27, 2011. Jelgava 2011. p. 464-469. (Thomson Reuters, Elsevier Scopus).

9. Edgars Kovals, Janis Viba, Guntis Kulikovskis, Maarjaa Kruusmaa, Paolo Fiorini, Fean-Guy Fontaine. Motion dynamics analysis

of a floating robot. Vibration problems. ICOVP 11 Suplement, The 10th International Conference on Vibration Problems. Praga.

Technical University of Liberec. P. 510-515. (Scopus)

Research Projects: 1. E. Lavendelis, INCO - COPERNICUS Project 960054. Efficient Start-Stop Intelligent Drives with

Adaptive Control. (Spain, France, Russia, Byelorussia, Latvia) (1997 - 1999). 2. J. Viba, Axiliary Climbing Robot For Underwater

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Ship HullCleaning of Sea Adherence And Surveyng (Nas-Aurora). Supplementary agreement No 1 to the contract No G3RD-CT-

2000-00246 NAS - Proposal No GRD1-1999-11153. The EC ... and ..- CSIC IAI; - ALGOSYS.AR; - ULUND.DMEN.ROBOT; - SAIND; -

KAL; - UNDB (collectively "the contracting parties") HAVING REGARDS TO contract No G3RD-CT-2000-00246 ... to extend ... : -An

additional of one contractor (" TURIGA ME") . 3. J. Viba. (Head of Project). Investigation of Oblique Impact and Adaptive Control

for High-Speed Machines. Latvian Council of Science (1994 - 1996). 4. J. Viba (Head of Project). Investigation of Collisions of

Bodes in Start-Stop Systems with Adaptive Control. Latvian Council of Science (1997 - 2000). 5. J.Viba (Head of Project).

Optimal Synthesis of Adaptive Controlled Intelligent Vibroimpact Systems with Line, Surface and Volume Interactions. Latvian

Council of Science (2001 - 2004). 6. &-Frame work Project: FILOSE. 2009.-2012.

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CURRICULUM VITAE

Inta Volodko

Name Surname

Kraslava, Latvia 13.07.1965.

Place of birth Date, month, year

Riga Technical University, Department of Engineering Mathematics, Head of Department,

professor;

Work place and position

Work address:

Meza str. ¼ - 148, Riga

Telephon

e

67089528

Fax: 670899694

E-mail: [email protected]

Education

Higher education, Master’s course, doctoral

studies. Ed. Establishments, country

Study

period

Speciality Qualification

Full-time Student at Latvian State University, Faculty of Physics and Mathematics

1983-1988 Applied

mathematics

Mathematic

Postgraduate at Riga Technical University 1989-1992 Mathematics

Master’s degree Diploma Nr. 000993 1995 Mathematics

Research degrees

Institution awarding degree Year Speciality Degree Diploma

No.

Latvian University, Latvia 1995. Mathematics Dr.math. C-D Nr.

001316

Employment

2007 – - Professor at Riga Technical University;

2004 – 2007 - Associate Professor at Latvian Agricultural University;

2003 – 2007 - Associate Professor at Riga Technical University;

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2002 – Head of Department of Engineering Mathematics at Riga Technical University;

2000 – 2004 - Assistant Professor at Latvian Agricultural University;

1998 – 2003 - Assistant Professor at Riga Technical University;

1996 – 1998 – Lecturer at Riga Technical University;

1992 – 1996 – Lecturer assistant at Riga Technical University;

1988 – 1989 – Trainee lecturer at Riga Technical University (then Riga Politechnical

Institute).

Scientific research interests

Participant of Scientific Project No. 01.0678 “Numerical and analytical solution of MHD

problems in strong magnetic fields and electrodynamic problems” (2001. – 2003.);

No. 04.1239 “Analysis of fluid flows in channels and open hydrodynamic systems” (2004. –

2007.);

EPF7 Project SAFEMETAL Nr.262568 „Increasing EU citizen security by utilizing innovative

intelligent signal processing systems for euro-coin validation and metal quality testing”

(2010. – 2012.).

Contributions at conferences (last 6 years)

Scientific conferences:

1. I.Volodko, V.Koliskina. Virpuļstrāvas metodes analītiskie atrisinājumi vidēm ar mainīgu elektrisko vadāmību un magnētisko caurlaidību. RTU 52. starptautiskā zinātniska konference, Rīga, 2011.g. 13 – 16 oktobrī.

2. I.Volodko, V.Koliskina. The change in impedance of a double conductor line due to a two-layer medium. Recent Researches in Communications & IT. Proceedings of the 15th WSEAS International Conference on Communications. Corfu Island, Greece, July 14 – 17, 2011, pp. 228 – 232.

3. I.Volodko, V.Koliskina. Analytical solution of an eddy current problem for a two-layer tube with varying properties. Recent Researches in Communications, Electrical & Computer Engineering. 9th WSEAS International Conference on Applied Electromagnetics, Wireless and Optical Communications. Playa Meloneras, Gran Canaria, Canary Islands, Spain, March 24 – 26, 2011, p. 262 – 265.

4. I.Volodko, V.Koliskina. A single-turn coil with alternating current inside a cylindrical region with varying electric conductivity and magnetic permeability. 10th WSEAS International conference on electronics, hardware, wireless and optical communications, 2011. gada februārī Kembridžā, Lielbritānijā.

5. I.Volodko, V.Koliskina. Vijums ar strāvu cilindriskā apgabalā ar mainīgu elektrisko vadāmību un

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magnētiskocaurlaidību. RTU 51. Starptautiskā zinātniskā konference, Rīga, 2010.gada 11.-15. oktobrī.

6. I.Volodko, V.Koliskina. Double conductor line above a two-layer medium with varying electric conductivity and magnetic permeability. Abstracts of the 15th International Conference “Mathematical Modelling and Analysis”, Druskininkai, Lithuania, May 26 – 29, 2010, p.47.

7. I.Volodko, V.Koliskina. Calculation of a coil’s impedance for the case where electric and magnetic properties of a conducting half-space depend on a vertical coordinate. Abstracts of 8th Latvian Mathematical conference, Valmiera, Latvia, April 9 – 10, 2010, p. 38.

8. I.Volodko, V.Koliskina. Vijuma pretestība virs vadošās pustelpas, kuras elektriskās un magnētiskās īpašības ir atkarīgas no telpas dziļuma. RTU 50. Starptautiskā zinātniskā konference, Rīga, 2009.gada 12.-16. oktobrī.

9. I.Volodko, V.Koliskina. Linear instability of mixing layers in two-phase shallow flows. Abstracts of the 14th International Conference “Mathematical Modelling and Analysis”, Daugavpils, Latvia, May 27 – 30, 2009, p.87.

10. I.Volodko, V.Koliskina. Linear instability of wake-shear layers in two-phase shallow flows. Proceedings of World Academy of Science, Engineering and Technology. Bangkok, Thailand, December 17 – 19, 2008, p. 698 – 702.

11. I.Volodko, V.Koliskina. Transient flows in pipes and channels: analytical solutions. New aspects of energy, environment, ecosystems and sustainable development. Proceedings of the 4th IASME/WSEAS International Conference on energy, environment, ecosystems and sustainable development. Algarve, Portugal, June 11 – 13, 2008, p. 265 – 268.

12. I. Volodko, V. Koliskina. Linear instability of wake-shear layers in shallow water. Environmental science, ecosystems & development. Proceedings of the 5th WSEAS International Conference on environment, ecosystems and development. Puerto De La Cruz, Tenerife, Canary Islands, Spain, December 14-16, 2007, p. 40 – 44.

13. M. Iltina, I. Iltins, I. Volodko. Temperature Field Created by Lasting Variable Exteral Influence. Fourth International Conference of Applied Mathematics, Plovdiv, Bulgaria, August 12-18, 2007, vol. 2, p.218.

14. A. Kolyshkin, I. Volodko, I. Iltins, M. Iltina. Transient method for leak and partial blockage detection in pipelines. Third International Conference of Applied Mathematics, Plovdiv, Bulgaria, August 12-18, 2006, p.158.

15. M.S. Ghidaoui, A. Kolyshkin, I. Volodko. A mathematical model for detection of a partial blockage in pipelines using fluid transients. 5th Vienna Symposium on Mathematical Modelling, Abstract Volume, Full Papers CD, Vienna, Austria, February 8-10, 2006, p.282.

Methodological conferences:

1. I.Volodko, I.Eglīte. Опыт работы с отстающими студентами на кафедре инженерной математики в Рижском техническом университете. International Scientific and Methodological Conference Materials "Problems of mathematical education" (PME – 2010), Cherkasy, Ukraine, November 24. – 26, 2010, p. 178 - 179.

2. I.Volodko, S. Čerņajeva, I.Eglīte. Система образования в Латвии. International Scientific and Methodological Conference Materials "Problems of mathematical education" (PME – 2010),

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Cherkasy, Ukraine, November 24. – 26, 2010, p. 36 - 37.

3. I.Volodko, I.Dzenite. The use of the package „Mathematica” in teaching of mathematics in Riga Technical University. Proceedings of the 2009 International Conference on Engineering and Mathematics. Bilbao, Spain, June 17 – 19, 2009, p. 75 – 79.

4. I.Volodko, V.Koliskina. Teaching linear algebra, analytic geometry and basic vector calculus with mathematica at Riga Technical University. New aspects of engineering education. Proceedings of the 5th WSEAS/IASME International Conference on engineering education. Heraklion, Greece, July 22 – 24, 2008, p. 79 – 83.

5. I. Volodko, I. Iltiņa, I. Iltiņš, V. Gošteine. Additional Opportunities for Teaching Mathematics by Means of Online Mathematical Courses. International IGIP ( International Society for Engineering Education) and SEFI (European Society for Engineering Education ) Conference, Hungary, 30 June – 5 July 2007.

4. I. Volodko, I. Iltiņa, I. Iltiņš, V. Gošteine. Blackboard Learning System Application for Teaching Mathematics. 35th International Symposium „Engineering Education – the Priority for Global Development”, Book for Abstracts, Tallinn, Estonia, September 18-21, 2006, p.76.

Courses delivered

Mathematics

Discrete mathematics

Supplementary mathematics

Number of publications: 77

Publications (last 6 years)

Scientific publications:

1. I.Volodko, V.Koliskina. Solution of eddy current testing problems for multilayer tubes with varying properties. International Journal of Mathematical Models and Methods in Applied Sciences, vol. 5, issue 4, 2011, pp. 781-788.

2. I.Volodko, V.Koliskina. The change in impedance of a double conductor line due to a two-layer medium. Recent Researches in Communications & IT. Proceedings of the 15th WSEAS International Conference on Communications. Corfu Island, Greece, July 14 – 17, 2011, pp. 228 – 232.

3. I.Volodko, V.Koliskina. Analytical solution of an eddy current problem for a two-layer tube with varying properties. Recent Researches in Communications, Electrical & Computer Engineering. 9th WSEAS International Conference on Applied Electromagnetics, Wireless and Optical Communications. Playa Meloneras, Gran Canaria, Canary Islands, Spain, March 24 – 26, 2011, p. 262 – 265.

4. I.Volodko, V.Koliskina. A single-turn coil with alternating current inside a cylindrical region with

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varying electric conductivity and magnetic permeability. Recent Research in Communications, Automation, Signal Processing, Nanotechnology, Astronomy & Nuclear Physics, Cambridge, Great Britain, February, 2011.

5. I.Volodko, V.Koliskina. Double conductor line above a two-layer medium with varying electric conductivity and magnetic permeability. RTU Zinātniskie raksti. Datorzinātne. Sērija 5, sējums 45, Rīga, 2010, 77. – 81. lpp.

6. I.Volodko, V.Koliskina. Double conductor line above a two-layer medium with varying electric conductivity and magnetic permeability. Abstracts of the 15th International Conference “Mathematical Modelling and Analysis”, Druskininkai, Lithuania, May 26 – 29, 2010, p.47.

7. I.Volodko, V.Koliskina. Calculation of a coil’s impedance for the case where electric and magnetic properties of a conducting half-space depend on a vertical coordinate. Abstracts of 8th Latvian Mathematical conference, Valmiera, Latvia, April 9 – 10, 2010, p. 38.

8. I.Volodko, V.Koliskina. Impedance of a coil above a half-space with varying electric and magnetic properties. RTU Zinātniskie raksti. Datorzinātne. Sērija 5, sējums 41, Rīga, 2009, 44. – 48. lpp.

9. I.Volodko, V.Koliskina. Linear instability of mixing layers in two-phase shallow flows. Abstracts of the 14th International Conference “Mathematical Modelling and Analysis”, Daugavpils, Latvia, May 27 – 30, 2009, p.87.

10. I.Volodko, V.Koliskina. Linear Stability Characteristics of Wake-Shear Layers in Two-Phase Shallow Flows. International Journal of Mechanical, Industrial and Aerospace Engineering 3:3, 2009, p. 188 – 192.

11. I.Volodko, V.Koliskina. Linear instability of wake-shear layers in two-phase shallow flows. Proceedings of World Academy of Science, Engineering and Technology. Bangkok, Thailand, December 17 – 19, 2008, p. 698 – 702.

12. I.Volodko, V.Koliskina. Transient flows in pipes and channels: analytical solutions. New aspects of energy, environment, ecosystems and sustainable development. Proceedings of the 4th IASME/WSEAS International Conference on energy, environment, ecosystems and sustainable development. Algarve, Portugal, June 11 – 13, 2008, p. 265 – 268.

13. I. Volodko, V. Koliskina. Linear instability of wake-shear layers in shallow water. Environmental science, ecosystems & development. Proceedings of the 5th WSEAS International Conference on environment, ecosystems and development. Puerto De La Cruz, Tenerife, Canary Islands, Spain, December 14-16, 2007, p. 40 – 44.

14. M. Iltina, I. Iltins, I. Volodko. Temperature Field Created by Lasting Variable Exteral Influence. International Journal of Pure and Applied Mathematics ISSN 1311-1728 (raksts pieņemts publicēšanai).

15. M. Iltina, I. Iltins, I. Volodko. Temperature Field Created by Lasting Variable Exteral Influence. Fourth International Conference of Applied Mathematics, Plovdiv, Bulgaria, August 12-18, 2007, vol. 2, p.218.

16. A. Kolyshkin, R. Vaillancourt and I. Volodko. Complex Ginzburg-Landau equation for suddenly

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blocked unsteady channel flow. ESI preprint 1656, The Erwin Schrödinger International Institute for Mathematical Physics, Vienna, Austria (raksts pieņemts publicēšanai).

17. A. Kolyshkin, I. Volodko, I. Iltins, M. Iltina. Transient method for leak and partial blockage detection in pipelines. Third International Conference of Applied Mathematics, Plovdiv, Bulgaria, August 12-18, 2006, p.158.

18. M.S. Ghidaoui, A. Kolyshkin, I. Volodko. A mathematical model for detection of a partial blockage in pipelines using fluid transients. 5th Vienna Symposium on Mathematical Modelling, Abstract Volume, Full Papers CD, Vienna, Austria, February 8-10, 2006, p.282.

19. A. Kolyshkin, R. Vaillancourt and I. Volodko. On the stability of transient viscous flow in an annulus. Advances in Mechanics of Solids, World Scientific, Series B, Volume 15, 2006, p. 139 - 150.

Methodological publications:

1. S. Veģere, I. Volodko, A. Koliškins, V. Kremeņeckis. Matemātikas uzdevumu risināšana ar MATHEMATICA5. Rīga, RTU Izdevniecība, 2009, 225 lpp.

2. I. Volodko. Augstākā matemātika. Īss teorijas izklāsts. Uzdevumu risinājumu paraugi. II daļa, Rīga, Zvaigzne ABC, 2009, 396. lpp.

3. I. Volodko. Augstākā matemātika. Īss teorijas izklāsts. Uzdevumu risinājumu paraugi. I daļa, Rīga, Zvaigzne ABC, 2007, 294. lpp.

4. N. Orbidāne, V.Gošteine, Dz. Lūse, I. Volodko. Tipveida uzdevumi matemātikas papildnodaļās transporta un mašīnzinību spacialitātēm. RTU, 2006, 73 lpp. (Atkārtots, papildināts izdevums).

5. A. Koliškins, I. Volodko. Varbūtību teorijas un statistikas elementi. RTU, 2006, 81 lpp. (Atkārtots, papildināts izdevums).

In-service training (last 6 years)

English course:

28.09.2005. – 01.02.2006. – 108 hours;

06.03.2006. – 12.07.2006. – 108 hours;

12.09.2006. – 09.01.2007. – 98 hours;

06.02.2007. – 29.05.2007. – 95 hours;

13.09.2007. – 22.01.2008. – 105 hours;

29.01.2008. – 29.05.2008. – 105 hours;

18.09.2008. – 05.02.2009. – 110 hours;

03.03.2009. – 02.06.2009. – 81 hours;

09.2010. – 12.2010. – 96 hours.

8 hours teaching at the University of Aveiro 15 – 24 February 2006.

Academic and social societies (membership)

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Member of Latvian Scientific Union.

Member of the Board of Latvian Mathematic Society.

Member of RTU Faculty of Computer Science and Information Technology Council

Member of Riga Technical University Senate

2410.2010.

(Signature)

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Dr. Hab.comp.sc., professor V.Zagursky

Head of Computer networks and systems

technology department.

RTU, Faculty of Computer science and

information technology

Latvia

Phone: +37167089543

Fax: +371 67089520

E-mail:

[email protected],[email protected]

Research interests:

Computer networks and

systems architecture and

technology

Comparative digital signal

processing in frequency and

time domains

Testing and design of the

mixed signal circuits and

systems

Wireless and wire sensor

networks

Valery Zagursky has been working in Institute of Electronic and Computer Science (IECS)

starting from 1965, engineer 1965-1968, junior researcher 1968-1973, senior researcher

1979-1983, head of laboratory 1983-2007, principal researcher from 2008. He has degrees:

Candidate of technical sciences, Latvian Academy of Sciences (Riga), 1972, Senior

researcher, USSR Academy of Sciences, Institute of Control Problem (Moscow), 1978, Doctor

of technical sciences, Ukrainian Academy of Sciences Institute of Cybernetics (Kiev), 1990,

Doctor Habilitus Computer Sciences, Latvian University (Riga), 1992. He has been involved in

various projects related to development of novel digital signal processing methods and their

applications as well as development of multiple measurement and control systems:

V.Zagursky (Head of Project), Problems of analog-digital system metrology, Latvian Council

of Science (LCS), 1991-1993, V.Zagursky (Head of LCS Project), Creation and investigation

whole dynamic testing methodology of heterogeneous analog-digital systems, 1994-1996,

V.Zagursky (Principal Researcher of LCS project), Distributed systems for local monitoring of

dynamic objects, Latvian Council of Science, 1994-1996,V.Zagursky (Head of LCS project),

Creation of information technology for codesign and test high performance analog-digital

systems,1997-2000, V.Zagursky (Head of LCS project) “Multimedia mixed signal systems

testing and design ” Nr.01.0032, 2000.-2004.gg., V.Zagursky (Head of LCS project ) “

Multimedia mixed signal systems verifikācija”Projekts Nr.05.1395, 2005.-2008.gg.,

V.Zagursky (Principal researcher of LCS project) “Multimedia based e-services systems choise

of architecture ”. Nr.05.1661,2004.-2008.gg., V.Zagursky (Principal researcher of LCS project)

“ Electronic services intelectual control”, Projekts Nr. 09.1240,2009.-2012.gg.,

V.Zagurskis(Principal researcher ofLCS project), ”Wireless embedded systems performance

and energy consumption optimization”, Nr.05.1345,2009.-2012.gg.,

V.Zagursky(developer-ekspert of ERAF projects

No:2005/0131/VPD1/ESF/PIAA04/APK/3.2.3.2/0004/0067, „COMPUTER NETWORKS AND SYSTEMS

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ARCHITECTURE”,No : 2005/0125/VPDI/ESF/PIAA/APK/3.2.3.2/0062/0007, “COMPUTER

NETWORKS”

Research and development activities have been carried out in parallel and implemented in a

number of instruments and integrated systems. Five doctor dissertation have been

performed during the research works, has been received Latvian state award (1980), and

Award of the Latvian Academy of Sciences (1987). Author of more than 245 publications,

including 39 inventions, inclusion in the 1998, edition of International Who’s Who of

Information Technology Professionals. V.Zagursky is IEEE professional member (

No40187763) from 1992, ACM-Association for Computing Machinery member (No4776480)

from1995, Journal Automatic Control and Computer Science editorial member, Riga

Technical University(RTU), Computer Science and Information Technology faculty professor

cuncil member from 1997, habilitation doctor council member from 2003, RTU Elektronic un

telekomunicacion fakulty habilitation doctor coucil member from 2003.g., E U ekspert

komision member (ERAF 1.1.1.2 aktivity project 1DP/1.1.1.2 0/ 09/APIA/VIAA/138), LCS

ekspert comision member (Computer Science, Information Technology Electronic an

telecommunication directions – projekti 09.1247, 05.1359, 06.0027, 05.1421-2008.g.,

2009.g). The Iasted International Conferences on Circuits, Signals and Systems ,CSS2004,

Florida USA , CSS2005, Marina del Ray, Orlando, USA, CSS2006, San Francisko, California,

USA - International Program Commitee, member, International Scientific Conference

Informatics in the Scientific Knowledge 2006.g.,-International Program Commitee member,

Fourth International Workshop on Content-Based Multimedia Indexing, CBMI 2005.g., Riga,

Latvia- InternationalTechnical Program Commitee member.

Recent publications

1.V.Zagursky, Improving Identification Algorithm for Mixed Signal Systems,SICPRO 07,VI International conference, ISBN 5-201-14492-8” System Identificatio and Control Problems” Moscow, January29- 1February 2007g.Proceedings, pp.937-942.

2.V.Zagursky, Dz.Zibin, Random Multiple Access Method for Wire and Wireless

Local networks, 17-th International Conferenceon Computer Theory and

Applications, ICCTA 2007, Egypt , Alexandria, 1-3 September, Proceedings, 2007g.

pp137-141.

3.V.Zagursky, D.Bliznjuk, Approach for wireless resources access control, The

ICS2008 International Computer Symposium, November 13-15, 2008,

TamkangUniversity,Damsui,TaipeiCounty, Taiwan, R.O.C. Proceedings of 2008

International Computer Symposium, 145-150pp.http://ics2008.csie.tku.edu.tw/

4.V.Zagurskis, A.Morozovs, Dažu jautājumu analīze un atrisinājumi daudzkanālu

sistēmas laika intervālu reģistrācijas konstruēšanai. Proceedings of RTU 49th

International Scientific Conference ISSN 1407-7493,Technology of Computer

Control, RTU , Riga 2008g. October 13-15,pp.63-72.

5.Zagurskis, D Bliznjuks, Pieeja bezvadu resursi piekļuves kontrolei, Proceedings of

RTU 49th International Scientific Conference ISSN 1407-7493,Technology of

Computer Control, RTU , Riga 2008g. October 13-15 pp.72-80.

6.Zagursky, D.Bliznjuk, Approach to verification of mixed-signal non-linear object,

Proceedings of VIII International Conference , ISBN 978-5-91450-027-3, “..System

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Identification and Control Problems” SICPRO-09, Moscow,January26-

30,2009g.813-830pp. 7.Zagursky, A.Morozov, Macromodel for uncertainty estimation of mixed-signal system elements under extreme operating condition, Proceedings of VIII International Conference, ISBN 978-5-91450-027-3, “..System Identification and Control Problems” SICPRO-09, Moscow,January26- 30,2009, 821-827pp 8, R.Taranovs, V. Zagurskis, Jaunā pieeja vides piekļuves vadībā bezvadu sensoru tīklos, RTU zinātniskis raksti, ISSN 1407-7493,5. sērija, Datorzinātne, Datorvadības tehnoloģijas, Rīga,2009.g.,50-57lpps.,

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CURRICULUM VITAE PERSONAL INFORMATION

First name, surname: Jānis Zvanītājs E – mail: [email protected]

Telephone at work: 67089374

Identify number: 130157-10519

LANGUAGE PROFICIENCY

Mother tongue: Latvian

Other languages: Russian and English

EDUCATION

1980 – Graduated Polytechnic Institute of Riga. Specialty – engineer economist.

SCIENTIFIC DEGREES

1985 – Candidate degree of economics science.

1992 – Doctorate degree in economics.

PROFESSIONAL ADVANCEMENT

2002 – Training of managers of Euroinovations (EU training course IPS-2000-00056).

Certificate No. EIM/214/2002.

1998 – Digestion and development of BALTEX educational programmes in Sweden.

1995 – Academic course of Sweden board “Property rights and action of board”

WORK EXPIERENCE:

From 2005 – Professor of Technical University of Riga.

From 1990 – Head of department in RTU Faculty of Engineering Economics and

Management, at present – Head of department of Organizing of Production and

Entrepreneurship.

1994 – 1995 Minister of Economics of Republic of Latvia.

RESEARCH WORK AND PARTICIPATION IN THE ACADEMIC PROJECTS

1. Improvement of Quality System, from January 2008 till December 2008. 2. Interrelationship of development of economic sectors in Latvia, from October 2007

till 15th September 2008, Manager. 3. Modelling and fortification of capacity of supporting system of projection area of

Riga for implementation of strategy of lifelong education, Council of Riga, 2006. 4. Forecast of development of infrastructure of Daugavpils city, Council of Daugavpils,

2005. Estimation expert of applications for tender of EU Social fund, Ministry of Education and

Science of Republic of Latvia, 2005.–2006.

PUBLICATIONS

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1. J. Zvanītājs, D. Ādmīdiņš. Influence of Mortgage Lending to the Real

Estate’s Insurance Market in Latvia. Evropske finančni systemy 2010.

Sbornik prispevku z mezinarodni vedecke konference. Brno, Ceska

republika, 2010., p.197–201.

2. J. Zvanītājs, D. Ādmīdiņš. The Influence of National Economic

Development on the Real Estate Market of Latvia. International Cross-

Industry Research Journal. Perspectives of Innovations, Economics and

Business. Volume 3, p. 52–54.

3. “Support for Decentralized Electricity Producers in Latvia and Its Role in

Setting Electricity Prices”. Co-author A. Deniņa. University of Latvia,

Scientific Issue of Publications, Volume 743, Economics. Business

Administration, 2009.

4. “Planning and Analysis of Operation with Organization Assets”. Co-author V.

Stavecka. University of Latvia, Scientific Issue of Publications, Volume 737,

Economic, VII, 2008.

5. “Management problems of efficient energy use in the multi-flat houses in

Latvia” (7 p.).” Co-author A. Deniņa. Scientific Issue of Publications, III

International Scientific Conference “The innovation Technologies of Social

and Economic Complex”, Institute of Economy, Podolsk, 2007

6. “Role of efficient energy use and its management in Latvia”. Co-author A.

Deniņa. Abstract of presentation on 48th

International Scientific Conference of

Riga Technical University, RTU, 2007.

7. “”Problems of organization of tax administration”. Co-author V. Stavecka.

Abstract of presentation on 48th

International Scientific conference of Riga

Technical University, RTU, 2007.

8. “Assessment of Efficiency of the Economic Sectors” (9 p.). Co-author J.

Reķe. University of Latvia, Scientific Issue of Publications, Volume 702,

Economic, V, 2006. 9. “Payment Cards and Organisation of Minimisation of Risks” (7 p.). Co-author M.

Priede. Scientific Works of Scientific Conference “Problems of development of national economy and entrepreneurship”, Riga, RTU, 2006.

10. “Efficiency of the Economic Sectors in Latvia” (7 p.). Co-author J. Reķe. University of Textile of Moscow (Russia), International Scientific Issue of Publications, 2006.

11. “Efficiency of the Economic Sectors in Latvia” (6 p.). Co-author J. Reķe. University of Daugavpils, International Scientific Materials of Conference “Efficiency and Competition”, 2006.

12. “Problems of Entrepreneurship in Latvia”. Co-author J. Reķe. Abstract of

presentation on 46th

International Scientific Conference of Riga Technical

University, RTU, 2005.

13. “Payment Cards and Organisation of Minimisation of Risks”. Co-author M.

Priede. Abstract of presentation on 46th

International Scientific Conference of

Riga Technical University, RTU, 2005.

14. “Global Logistics Influence to Operation of Ports in Latvia” (10 p.). Co-

author J. Vanags. Scientific Works of RTU, 2004.

15. “Prognosis of Development of the Infrastructure in Daugavpils”. Abstract of

presentation on 45th

International Scientific Conference of Riga Technical

University, RTU, 2004.

16. “Global Logistics Influence to Operation of Ports in Latvia”. Co-author J.

Vanags. Abstract of presentation on 45th

International Scientific Conference

of Riga Technical University, RTU, 2004.

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17. “Optimization of Decisions of Management”, brochure (68 p.). Co-author A.

Pavlov. Institute of Economics Strategy, Moscow, 2004.

18. “Tendencies of Development and Organization of National Economy in

Latvia in Transition Period” (9 p.). University of Textile of Moscow (Russia),

2004.

Teaching materials

1. J. Zvanītājs, G. Kozaka “Regulation on Field Practice for Professional Masters in Department of Organizing of Production and Entrepreneurship”, RTU, 2007.

2. N. Baranovskis, J. Zvanītājs “Organization of Resources of Entrepreneurship”, RTU, 2002.

PARTICIPATION IN SCIETIFIC CONFERENCES

1. International scientific conferences of Riga Technical University – 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003.

2. Scientific Conference of University of Textile of Moscow (Russia) devoted to 85th anniversary of university. Conclusion of agreement of collaboration _ 23.11.2004.

3. Methodical Conference on Foundation Unified Teaching Program for High Schools in Baltic States “Hanseatic”. Sweden – 2002, Latvia – 2003, Estonia – 2004.

4. Implementation of Business Games in the training Process – Moscow Agriculture Institute, 2003.

PEDAGOGICAL WORK

The pedagogical work experience in higher education – 28 years (since 1980).

Dissertations conducted: R. Sabulis, presented in 2005, RTU.

J. Vanags, presented in 2004, RTU.

4 dissertations are in the work process.

Dissertations reviewed: S. Iljina, University of Textile of Moscow (Russia), 2007.

J. Duka, University of Latvia, 2006.

Master’s works conducted: 5 Master’s works every year.

Bachelor’s works conducted: 10 Bachelor’s works every year.

Courses taught:

1. Organization of Work. 2. Organization of Investments of Production. 3. Organization of Management of Production. 4. Organization of Development of Entrepreneurship. 5. Organization of Management of Entrepreneurship. 6. Problems of Organization of Entrepreneurship. 7. Planning and Organization of Entrepreneurship. 8. Organization of Production and Services.

Development and Management of Programs of Studies: Entrepreneurship and

Management.

Courses of Lectures in the Foreign High Schools: 26th April – 3rd May, 2007 – Course of

Lectures “Organization of Production” in University of Textile of Moscow (Russia).

ORGANIZATIONAL SKILLS AND COMPETENCES

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Member of Programme Committee and Editorial Board of International Scientific

Conference of RTU.

Member of Senate of RTU.

Member of Scientific Committee of RTU.

Council Member of Engineering Economics and Management Faculty of RTU.

Editorial Board Member of Scientific Works of Engineering Economics Faculty and

Management of RTU.

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Appendix 5 – Descriptions of the study programme’s subjects

RTU Course "The English Language"

01A01 Speciālā lietojuma valodu katedra

General data

Code HVD101

Course title The English Language

Course status in the programme Compulsory/Courses of Limited Choice

Course level Undergraduate Studies

Course type Academic

Field of study Languages

Responsible instructor Derkača Ludmila

Academic staff Derkača Ludmila

Volume of the course: parts and credits points 2 parts, 2.0 Credit Points, 3.0 ECTS credits

Language of instruction LV, EN, RU

Possibility of distance learning Not planned

Maximum auditorium capacity 30

Maximum number of students per semester 9999

Abstract Entering the university after secondary school the students nowadays have a relatively high level of

the English language skills. Therefore, sustaining and improving this level it is important to provide

the students with the opportunity to apply their basic knowledge within the framework of the

chosen scientific and professional field. The aspects of language application are significant, i.e., it is

important to acquire special terminology, grammar constructions that are typical of the literature of

specific areas. To improve the competitiveness of graduate engineers in the international labor

market it is necessary to provide the students with opportunity to use the language often and more

effectively in all those aspects within the selected professional field. All the texts for reading

comprehension, writing and speaking topics are selected according to the study program taking into

account the average level of language skills. The selected lexical and syntactic constructions typical

of the technical language and language for specific purposes (LSP) are taught independently on the

study program.

Goals and objectives of the course in terms of

competences and skills

The aims of the program are to develop students' speaking, writing, reading and listening skills; to

improve students' knowledge of business English and business correspondence skills; to increase

the stock of professional terminology, and to develop students' communicative competences.

Particular emphasis is put on developing and improving of reading, comprehension and

interpretation skills while working with professional original texts of intermediate and advanced

level in English identifying, solving and explaining problems of text comprehension.

Structure and tasks of independent studies Two home reading tasks a semester. The students read and work in details with at least two

independently selected texts on special field, summarize the information, prepare presentation,

master new terminology from the texts.

Recommended literature 1. Baye, M. Managerial Economics & Business Strategy. 2005.

2. Guide to Economic Indicators: Making Sense of Economics. The Economist, 2007.

3. McConnell, C.R., Brue, S.L., Economics: Principles, Problems, and Policies. 16th ed.

2004.

4. Mishkin,F.S. The Economics of Money, Banking, and Financial Markets. Prentice Hall,

2006.

5. Allen, E., Thallon, R. Fundamentals of Residential Construction . 2006.

6. Allen, E., Iano, J. Fundamentals of Building Construction: Materials and Methods. 2003.

7. Chen, W.F., Richard Liew, J.Y. The Civil Engineering Handbook, on (New Directions in

Civil Engineering). CBS Press, 2002.

8. Stevenson, N. Architecture: The World's Greatest Buildings Explored and Explained. DK

Publishing, 1997.

9. Goleniewski, L., Jarrett, K. W. Telecommunications: A Beginner's Guide. McGraw-

Hill/Osborne, 2006.

10. Gross, L.S., Fink, E. J. Telecommunications: An Introduction to Electronic Media with

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PowerWeb. 2005.

Course prerequisites Secondary school level after centralised exam

Courses acquired before

Course outline

Theme Hours

Negotiating agreement. Reading reports. A plan of the text; conclusions. Exchanges featuring negotiations. 2

Reading manuals, instruction booklets, technical brochures, directories, data bases etc. 4

Text on speciality. Exchanges featuring meetings. Meetings, chairing a meeting, taking turns, interrupting 3

Text on speciality. Introduction into describing tables, charts and diagrams. Describing trends and development 3

Text on speciality. A report describing tables, charts and diagrams, Science and scientists 8

Interviewing. Employment contract. Remuneration, CV and the letter of application, Exchanges featuring interviews 4

Home reading No.1 4

Text on speciality. Argumentative essay: introduction. Exchanges featuring discussions 2

Ergonomics, health and safety at work, Argumentative essay: structure and language, Exchanges featuring discussions 2

Text on speciality, Essay: The Factors to Consider when Choosing a Job 2

Text on speciality. Discussion based on the text 20

Home reading No.2 4

Text on speciality. Discussion based on the text. Exchanges featuring opinions. 2

Text on speciality. Discussion based on the text Listening comprehension test (10-15 mins). 4

Learning outcomes and assessment

Learning outcomes Assessment methods

The students are able to adequately use terminology and specific grammar constructions, recognize

and define particular terms.

During the classes the students correctly use

terms in speaking and writing activities.

During the assessments they complete tasks for

special vocabulary usage to test terminology

competence. Student

The students are able to recognize and write essays of different types, and compile technical

documentation.

The students successfully perform all the tasks

connected with writing skills development

having completed three written works per

academic semester.

The students are able to participate in general and profession-oriented discussions, dialogues,

interviews and other types of communicative situations.

During the semester the students take active

part in the speaking activities at the regular and

assessment classes, presenting their thoughts in

a clear comprehensible form, answering

questions

The students are able to recognize, analyze, evaluate and summarize scientific technical information

from various scientific and popular scientific resources.

The students independently select and master

at least two scientific technical texts from

internationally approved sources, prepare

presentation and commentaries on the obtained

information.

The students are able to successfully pass a final exam testing listening, reading, writing and speaking

skills.

The assessment is carried out according to 10-

grade scale. Language proficiency level should

correspond to the level B2 according to CEFR.

Study subject structure

Part Semester CP Hours per Week Tests

Autumn Spring Summer Lectures Practical Lab. Test Exam Work

1. * * 1.0 0.0 2.0 0.0 *

2. * * 1.0 0.0 2.0 0.0 *

RTU Course "Basics of autonomous and mobile robotic systems"

12307 Sistēmu teorijas un projektēšanas katedra

General data

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Code DSP711

Course title Basics of autonomous and mobile robotic systems

Course status in the programme Compulsory/Courses of Limited Choice

Course level Undergraduate Studies

Course type Academic

Field of study Computer Science

Responsible instructor Ņikitenko Agris

Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits

Language of instruction LV

Possibility of distance learning Not planned

Abstract The course provides basic knowledge about autonomous robotic systems. The course consists of

lectures and three practical home works that enables to apply the most essential methods for mobile

robot control.

Goals and objectives of the course in terms of

competences and skills

The main goal is to provide basic theoretical knowledge and provide means for development of

practical skills about autonomous systems and use of the most essential control methods.

Structure and tasks of independent studies The course includes three assignments on: Kinematic models of mobile robotic systems,

Selflocalization, Motion planning and navigation

Recommended literature 1) R.Siegwart, R. Naurbaghsh Introduction to autonomous mobile robots, MIT Press, 2004.

2) S.Russell, P.Norvig Artificial intelligence - a modern approach 2nd edition, Pearson Education

Inc., 2003.

Course prerequisites Mathematics, Physics

Courses acquired before

Course outline

Theme Hours

Introduction, terms of autonomous and mobile robotic systems 2

Classification of autonomous and mobile robotic systems 2

Kinematic models of mobile robotic platform and their constraints 6

Maneuverability of mobile robots and their workspace 4

Perception and its processing in autonomous systems 6

Selflocalization and mapping 6

Motion planning and navigation 6

Learning outcomes and assessment

Learning outcomes Assessment methods

Is able to distinguish autonomous and mobile systems Separate questions in final test

Is able to describe the basic kinematic models of mobile platforms and their constraints. Can apply

them for practical use.

Separate questions in final test and practical

homework

Is able to describe basic methods for perception processing in mobile robotic platforms Separate questions in final test

Is able to describe and apply basic methods of selflocalization. Separate questions in final test and practical

homework

Is able to describe and apply basic methods of motion planning Separate questions in final test and practical

homework

Study subject structure

Part Semester CP Hours per Week Tests

Autumn Spring Summer Lectures Practical Lab. Test Exam Work

1. * 2.0 1.0 1.0 0.0 *

RTU Course "Civil Defence"

22231 Darba un civilās aizsardzības katedra

General data

Code ICA301

Course title Civil Defence

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Course status in the programme Compulsory/Courses of Limited Choice

Course level Undergraduate Studies

Course type Academic

Field of study Environmental Engineering and Management

Responsible instructor Jemeļjanovs Vladimirs

Academic staff Jemeļjanovs Vladimirs

Volume of the course: parts and credits points 1 part, 1.0 Credit Points, 1.5 ECTS credits

Language of instruction LV

Possibility of distance learning Not planned

Abstract The civil defence as a state system, its tasks, legal foundation. Requirements for this system.

Preventive measures for stability of industrial object in case of ES. Organization and relization of

rescue and other urgent measures in case of ES.

Goals and objectives of the course in terms of

competences and skills

Structure and tasks of independent studies

Recommended literature 1.A.Jemeljanovs, V.Škepasts „ Civilā aizsardzība „ RTU, 1996,-200lpp.

2.Laborotorijas ( praktiskais) darbs „ Civilās aizsardzības pasākumu plāns” RTU,200.-35lpp.

3. Laborotorijas darbs „ Sprādzienbīstamība un ugunsbīstamība „ RTU,2009.

4. Laborotorijas darbs: „Bīstamās ķīmiskās vielas un produkti ”, RTU,2009.

5. Laborotorijas darbs:”Radiācijas drošība” RTU, 2009.

Citi materiāli

1.Latvijas Republikas Satversme

2.Nacionālās drošības likums

3.Ugunsdrošības un ugunsdzēsības likums

4.Civilās aizsardzības likums

5.Likums „Par izņēmuma stāvokli”

6.Ķīmisko vielu un ķīmisko produktu likums

7.Likums „Par radiācijas drošību un kodoldrošību”

8.Likums „Par hidroelektrostaciju hidrotehnisko būvju drošību”

9.Epidemioloģiskās drošības likums

10.Ministru kabineta 2004.g. 17.februāru noteikumi Nr.82 „Ugunsdrošības noteikumi”

Course prerequisites

Courses acquired before

Course outline

Theme Hours

2

2

1

4

2

5

Learning outcomes and assessment

Learning outcomes Assessment methods

Study subject structure

Part Semester CP Hours per Week Tests

Autumn Spring Summer Lectures Practical Lab. Test Exam Work

1. * * 1.0 0.5 0.0 0.5 *

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RTU Course "Fundamentals of Computer Graphics and Image Processing"

12212 Attēlu apstrādes un datorgrafikas profesoru grupa

General data

Code DAA300

Course title Fundamentals of Computer Graphics and Image Processing

Course status in the programme Compulsory/Courses of Limited Choice

Course level Undergraduate Studies

Course type Academic

Field of study Computer Science

Responsible instructor Glazs Aleksandrs

Academic staff Glazs Aleksandrs

Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits

Language of instruction LV, EN

Possibility of distance learning Not planned

Maximum auditorium capacity 170

Maximum number of students per semester 350

Abstract Today, working with computer is connected to graphical objects creation in 2D and 3D space, as

well as image processing. In this course students learn about different methods of graphical

primitives construction as well as graphical objects transformation and visualization methods.

Students are also acquainted with various image processing methods, including image quality

enhancement and image compression.

Goals and objectives of the course in terms of

competences and skills

To provide academic education in computer graphics and image processing. To learn about raster

graphics algorithms, 2D and 3D object visualization and transformation, as well as image

processing method and algorithm. To use the acquired knowledge for formulating and solving

different specific tasks.

Structure and tasks of independent studies Unaided assignment completion is integrated with learning the theory and practical assignments.

Students construct graphical objects in 2D and 3D space without assistance.

Recommended literature 1. "Computer Graphics. Principles and practice. Second edition in C", Foley I., Van Dam A., Feiner

S., Hughes I., Addison - Wesley Publishing company, 1997.

2. "Fundamentals of Computer Graphics, Second Edition." P. Shirley, M. Ashikhmin, M. Gleicher,

S. Marschner, E. Reinhard, K. Sung, W. B. Thompson, P. Willemsen, A K Peters, Ltd, 2005

Course prerequisites DIP101 ,Computer Studies I.

Courses acquired before

Course outline

Theme Hours

Introduction to Computer Graphics and Image Processing. 4

Graphical primitives. Raster graphic algorithms. Algorithm for straight line construction. 4

Circle generating algorithm. 4

Ellipse generating algorithm. 4

Curve generating algorithms. Interpolation and approximation. Bezier curves. 4

2D objects visualization tasks realization. Geometrical transformation of 2D objects. 4

3D objects visualization tasks realization. Projections. 4

Image processing. Image quality enhancement. Contrast enhancement. Noise reduction. Image compression. 4

Learning outcomes and assessment

Learning outcomes Assessment methods

Students are able to discuss the fundamentals, advantages and limitations of computer graphics and

image processing. Students have knowledge of different raster graphics algorithms.

Written exam, that includes questions about

the theory as well as practical assignments.

Students are able to develop a program that realizes 2D and 3D object construction. Laboratory works.

Study subject structure

Part Semester CP Hours per Week Tests

Autumn Spring Summer Lectures Practical Lab. Test Exam Work

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1. * 2.0 1.0 0.0 1.0 *

RTU Course "Foundations of Computer and Robotic Systems Design"

12307 Sistēmu teorijas un projektēšanas katedra

General data

Code DSP724

Course title Foundations of Computer and Robotic Systems Design

Course status in the programme Compulsory/Courses of Limited Choice

Course level Undergraduate Studies

Course type Academic

Field of study Computer Science

Responsible instructor Grundspeņķis Jānis

Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits

Language of instruction LV

Possibility of distance learning Not planned

Abstract Design process is one of the most important phases of system development. The course considers

process and methodologies of design, description methods of design objects, top down, bottom up,

internal and external design, methods and models of conceptual design, computer and technical

system life cycles, creation methods in design, CAD systems, methods of optimal decision making,

principles of knowledge-based design, methods of robotic systems design, development of

autonomous mobile robots and integration of robotic systems.

Goals and objectives of the course in terms of

competences and skills

The goal of the course in to give polymathy of design process, methodologies, typical procedures

and design systems which are used in computer and robotic systems design.

Structure and tasks of independent studies Students must work out a course work in which he/she must choose and practically implement the

appropriate method of design to get the optimal solution for the robotic system.

Recommended literature 1. Duffy A.H.B. and O'Donnell F.J.A. Design Research Approach. In: Critical Enthusiasm -

Contribution to Design Science, 1999, pp. 33-40.

2. Goel A.K. et al. Functional Explanation in Design. In: Proceedings of IJCAI-97 Workshop on

Modeling and Reasoning about Functions, 1997, pp. 1-10.

3. Goel A.K. Design, Analogy and Creativity. IEEE Expert Special Issue on AI in Design, 1997,

pp. 0-25.

4. Falting B. Qualitative Models in Conceptual Design: A Case Study. Ecole Polytechnique

Federale de Lausanne, Switzerland, 1991.

5. Shuzhi Sam Ge and Lewis F.L. Autonomous Mobile Robots. CRC Press, Taylor & Francis,

2006.

6. Siegwart R. and Nourbakhsh I.R. Introduction to Autonomous Mobile Robots. A Bradford Book,

The MIT Press, 2004.

Course prerequisites Students must know general conceptions of graph theory and special types of graphs.

Courses acquired before DSP202 Discrete Structures of Computer Science

Course outline

Theme Hours

Principles, tasks and process of design 2

Description and hierarchical levels of design objects 2

Foundations of design methodologies 2

Top down, bottom up, internal and external design 2

Methods and models of conceptual design 2

Models and life cycles of computer and technical systems 2

Routes, modes and typical procedures of design 2

Creation methods in design 2

Computer-aided design (CAD) systems 2

Analysis and description methods of functions of technical systems and elements 2

Morphological analysis and synthesis of technical solutions 2

Methods of optimal decision making in design 2

Foundations of knowledge-based (intelligent) design 2

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Methods of robotic systems design 2

Methods of development of autonomous robots 2

Integration of robotic systems 2

Learning outcomes and assessment

Learning outcomes Assessment methods

Students will know theoretical foundations and methodologies of design Questions of the theoretical part of

examination

Students will be able to describe object of design and its functions Defence of course work, questions of the

theoretical part of examination

Students will know creation methods in design Questions of the theoretical part of

examination

Students will be able to choose and apply appropriate methods of design and methods of optimal

decision making

Defence of course work, questions of the

practical part of examination

Students will know methods of knowledge-based (intelligent) design Questions of the theoretical part of

examination

Students will be able to choose methods and to develop robotic systems design Defence of course work, questions of the

theoretical part of examination

Students will know methods of development of autonomous mobile robots and methods of

integration of robotic systems

Questions of the theoretical part of

examination

Study subject structure

Part Semester CP Hours per Week Tests

Autumn Spring Summer Lectures Practical Lab. Test Exam Work

1. * 2.0 2.0 0.0 0.0 *

RTU Course "Introduction to Digital Electronics"

11103 Industriālās elektronikas un elektrotehnol.katedra

General data

Code EEI505

Course title Introduction to Digital Electronics

Course status in the programme Compulsory/Courses of Limited Choice

Course level Undergraduate Studies

Course type Academic

Field of study Power and Electrical Engineering

Responsible instructor Galkins Iļja

Academic staff Galkins Iļja

Volume of the course: parts and credits points 1 part, 3.0 Credit Points, 4.5 ECTS credits

Language of instruction LV, EN, RU

Possibility of distance learning Not planned

Maximum auditorium capacity 12

Maximum number of students per semester 60

Abstract Digital quantities, number systems, logic functions, Boolean algebra and laws, Karnaugh map,

analysis and design of combinational logic circuits, fixed function logic circuits, programmable

logic and its description methods.

Goals and objectives of the course in terms of

competences and skills

Develop the ability to design control system with help of logic circuits and programmable logic and

to debug the developed circuits.

Structure and tasks of independent studies Description of laboratory work should be prepared before lab. Analysis and evaluation of results

should be made after it. Descriptions of all practical exercises and analysis of results should be

collected and defended prior session.

Recommended literature J.Greivulis, I.Raņķis „Iekārtu vadības elektroniskie elementi un mezgli” Rīga:Avots, 1997,288 lpp.

J. Priedīte „Ciparu tehnika energoautomātikā”

Rīga: RTU, 2003, 312. lpp.

I.Rankis, A.Zhiravetska „Electronics” Riga:RTU, 2005,110 p

T.L. Floyd „Digital fundamentals”

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Prentice Hall, 2005, 888 p

Holdsworth, B.; Woods, R.C. „Digital Logic Design”

Newnes, 2003, 521 p

Course prerequisites Basic knowledge of analog and digital quantities, number systems and integrated circuits.

Courses acquired before EEE202 Electron Devices AND EEP475 Electronic Equipment

Course outline

Theme Hours

Key terms of digital electronics. 2

Number systems and codes. 4

Laws and rules of Boolean algebra and methods of logic expression simplification. 2

Analysis of combinational logic circuits. 2

Design of combinational logic circuits. 2

Flip-Flops. 2

Calculation of timer switching frequency. 1

Analysis and design of synchronous counters. 2

Design of sequential logic. 2

Analysis and design of synchronous decade counter. 2

Design of control system. 7

Digital circuit description language VHDL. 2

Design flow in Quartus environment. 2

1st Lab. Design of combinational logic with VHDL. 2

2nd Lab. Sequential circuit design with VHDL. 2

3rd Lab. Digital circuit description in Quartus environment. 2

4th Lab. Design of combinational logic in Quartus environment. 2

5th Lab. Design of sequential logic in Quartus environment. 2

6th Lab. Control system design with help of Quartus environment and its implementation in programmable logic. 6

Learning outcomes and assessment

Learning outcomes Assessment methods

Ability to apply arithmetic operations to binary number system. Executed and defended home task.

Ability to describe functions of logic gates, to recognize the symbols of logic gates and to evaluate

parameters of integrated circuits.

Exam on relevant subjects covered in lectures.

Ability to develop the truth table, to design the combinational and sequential logic circuits and

control system.

Laboratory works on control system design

should be executed and defended.

Ability to design the digital circuits in Quartus environment by different methods. Laboratory works on digital circuit design by

circuit editor and VHDL language should be

executed and defended.

Ability to use programmable logic devices for digital electronics applications. Laboratory works on programmable logic

circuit usage and debugging should be

executed and defended.

Exam on relevant subjects covered in lectures.

Study subject structure

Part Semester CP Hours per Week Tests

Autumn Spring Summer Lectures Practical Lab. Test Exam Work

1. * * 3.0 2.0 0.0 1.0 *

RTU Course "Discrete Mathematics"

12021 Inženiermatemātikas katedra

General data

Code DIM204

Course title Discrete Mathematics

Course status in the programme Compulsory/Courses of Limited Choice

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Course level Undergraduate Studies

Course type Academic

Field of study Mathematics and Statistics

Responsible instructor Volodko Inta

Academic staff Volodko Inta

Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits

Language of instruction LV, EN, RU

Possibility of distance learning Not planned

Abstract Sets, mappings, relations. Combinatorics. Boolean algebra; discrete circuits, automata.

Goals and objectives of the course in terms of

competences and skills

Deliver basic discrete mathematical concepts that are necessary to understand data handling

processes and algorithms. Develop students’ logical thinking and skills to analyze basic aspects of

special subjects with the objective to analyze more complicated problems.

Structure and tasks of independent studies Three homework assignments are given during the course. The topics of these assignments are: sets

theory, combinatorics, Boolean algebra. Students can replace homework assignments by 8 tests,

available on RTU Internet portal ORTUS. The grades for homework assignments are taken into

account for the calculation of the final grade for the course.

Recommended literature 1. I. Strazdiņš. Diskrētā matemātika. Rīga, Zvaigzne ABC, 2001, 148 lpp.

2. J. Cīrulis. Matemātiskā loģika un kopu teorija. Rīga, Zvaigzne ABC, 2007, 278 lpp.

3. I. Volodko. Tipveida uzdevumu krājums diskrētajā matemātikā. Rīga, RTU, 2004, 77 lpp.

4. I. Volodko. Diskrētā matemātika uzdevumos un piemēros. Rīga, RTU, 2004, 126 lpp.

5. S.B. Maurer, A. Ralston. Discrete algorithmic mathematics. Peters: Natick, Ma., 1990, 1998.

6. Кузнецов О.П., Адельсон-Вельский. Дискретная математика для инженера. Москва,

Энергоавтоиздат, 1988.

7. Г. И. Москинова. Дискретная математика для менеджера. Москва, Логос, 2004, 238 lpp.

Course prerequisites Mathematics course that is acquired in secondary school.

Courses acquired before

Course outline

Theme Hours

Set theory: Operations on sets. Mappings, types of mappings. Relations, types of relations. 12

Combinatorics: Permutations and combinations. Mathematical induction. Newton's binomial formula. 4

Mathematical logic: Expressions, operations on them. Normal form of Boolean functions. Polynomial of Boolean functions. 12

Discrete circuits, automata. 1

Predicates and quantifiers. The concept of the syntax and semantics. 3

Learning outcomes and assessment

Learning outcomes Assessment methods

After successful completion of the course students will be able to perform operations on sets. They

can determine the form of mappings and relations; can perform operatins on relations of sets.

Evaluation of students’ work is based on the

results of homework assignments, tests and the

final exam.

Can calculate the number of permutations and combinations; to prove a mathematical statement by

mathematical induction method ; expand a binomial by Newton's binomial formula.

Students’ work is tested using homework

assignment and problem on the final exam.

Can construct the truth table for a Boolean function; find formal forms and polynomial of Boolean

functions.

Students’ knowledge and abilities are assessed

using homework assignments, tests and final

exam.

Can plot the Boolean function geometricaly and minimize it; determine whether the system of a

Boolean function is full.

Test, homework assignment and several

problems on the final exam are used to assess

students’ knowledge on these topics.

Study subject structure

Part Semester CP Hours per Week Tests

Autumn Spring Summer Lectures Practical Lab. Test Exam Work

1. * 2.0 1.0 1.0 0.0 *

RTU Course "Discrete Structures of Computer Science"

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12307 Sistēmu teorijas un projektēšanas katedra

General data

Code DSP202

Course title Discrete Structures of Computer Science

Course status in the programme Compulsory/Courses of Limited Choice

Course level Undergraduate Studies

Course type Academic

Field of study Computer Science

Responsible instructor Grundspeņķis Jānis

Academic staff Grundspeņķis Jānis

Volume of the course: parts and credits points 1 part, 3.0 Credit Points, 4.5 ECTS credits

Language of instruction LV, EN, RU

Possibility of distance learning Not planned

Abstract During studies students acquire the practical applications of discrete mathematics concepts, graph

algorithms and mathematical foundations of data base. Students acquire the properties of binary

relations by detailed examination of equivalence and ordering. Students acquire key elements of

graph theory, ways of graph representations. Theoretical knowledge has to be used by practical

calculations with shortest path algorithm; algorithm for minimal spanning tree and algorithm for

maximum flow problem. The course also observes basic concepts of relational database, operations

of relational algebra and basics elements of Structured Query Language (SQL).

While studying the subject students have to work out course work; they have to write program that

solves the defined task by using algorithms and concepts given in lectures.

Goals and objectives of the course in terms of

competences and skills

The goal of the course is to get skills of practical applications of such concepts of discrete

mathematics as relations, mappings and ordering so that at the end of the course students will be

able to analyse properties of relations and to create mappings with various properties. After the

course a student has to understand concepts of graph theory, know graph representations and has to

be able to apply the following graph algorithms: Dijkstra’s algorithm, Prim’s algorithm and Ford-

Fulkerson algorithm.

Students have to understand basic concepts of relational database, have to be able to implement

relational operations with data base tables and to form query for the relational database.

Structure and tasks of independent studies While studying the subject students have to work out course work (CW). The CW includes five

tests and 2 practical works.

Recommended literature Pamatliteratūra

- Rosen K.H. Discrete Mathematics and its Applications, McGraw-Hill, Inc .1991.

Grāmata satur visu dotajā priekšmetā vajadzīgo mācību materiālu. Tajā īpaša vērība ir veltīta

diskrētās matemātikas praktiskiem lietojumiem.

- Strazdiņš I. Diskrētās matemātikas pamati, Zvaigzne, Rīga, 1980.

Grāmata aptver plašu diskrētās matemātikas jautājumu loku, kas aprakstīts no teorētiskā redzes

viedokļa. Grāmata prasa samērā labu matemātisko sagatavotību, tādēļ bakalauriem varētu būt grūti

uztverama.

Ieteicamā literatūra

- Dambītis J. Modernā grafu teorija, Datorzinību centrs, 2002.

Grāmatā aprakstīti grafu teorijas pamati.

- McHugh J.A. Algorithmic Graph Theory, 1990.

Grāmatā grafu teorija apskatīta no algoritmiskā redzes viedokļa. Tā satur visus svarīgākos grafu

algoritmus.

- J. Grundspeņķis. Grafu teorijas pamati, Rīgas Politehniskais institūts, Rīga, 1976.

Mācību līdzeklī apskatīti grafu teorijas pamatjēdzieni, grafa raksturīgie lielumi, speciāli grafu veidi

un grafu un matricu savstarpējais sakars.

- Кристофидес Н. Теория графов. Алгоритмический подход., Москва, Мир, 1978.

Grāmatā ir visu šajā lekciju kursā apskatīto grafu algoritmi un to realizācijas piemēri.

Course prerequisites Fundamental concepts of set theory: set, subset, set operations (union, intersection, difference).

Courses acquired before DIM204 Discrete Mathematics

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Course outline

Theme Hours

Relations and their types. Properties of relations. Special types of relations. 6

Comparing elements in ordered sets. Lexicographic ordering. 2

Relations and graphs. Types of graphs 2

Graph representations (static and dynamic representations). 4

Mappings, their representation and types. 4

Path searching in graphs (backtrack search). 2

The shortest path problem. Dijkstra’s algorithm. Floyd’s algorithm. 4

Trees and their properties. A spanning tree of graph. Prim’s algorithm and Kruskal’s algorithm. Decision tree. 6

Tree traversal algorithms. Universal address system. Prefix, postfix, and infix notation. Prefix codes. 4

Networks. Topological sorting. Transportation networks. The flow conservation equation. Ford-Fulkerson algorithm. 4

Relations and data bases. Operations of relation algebra. Procedure of table computation. 6

Formal languages of relation algebra and relation calculus. Structured Query Language. Defining data and data management 4

Learning outcomes and assessment

Learning outcomes Assessment methods

To be able to analyse properties of relations and to use special types of relations for description of

real problems.

Passed test “Equivalence” and correctly

answered questions of the 1st section of the

theoretical part of examination.

To be able to show graph representations. Passed practical work “Graph

representations”and correctly answered

questions of the 3rd section of the theoretical

part of examination.

To be able to apply graph algorithms. Carried out 3 home works. Correctly answered

questions of the 3rd section of the theoretical

part of examination and solved the 2nd task of

the practical part of examination.

To be able to determine different types of mapping and to create mappings with various properties. Accomplished practical work “Mapping” and

correctly answered questions of the 2nd section

of the theoretical part of examination.

To be able to apply tree traversal algorithms to obtain prefix, postfix notation and to calculate its

value.

Accomplished practical work “Trees” and

correctly answered questions of the 4th section

of the theoretical part of examination.

To be able to realize operations of relational algebra and to be able to form query for relational

database.

Accomplished practical work “Databases and

relations” and correctly answered questions of

the 5th section of the theoretical part of

examination and solved the 1st task of the

practical part of exam

Study subject structure

Part Semester CP Hours per Week Tests

Autumn Spring Summer Lectures Practical Lab. Test Exam Work

1. * 3.0 2.0 1.0 0.0 *

RTU Course "Electrical Drives (Study Project)"

11103 Industriālās elektronikas un elektrotehnol.katedra

General data

Code EEI213

Course title Electrical Drives (Study Project)

Course status in the programme Compulsory/Courses of Limited Choice

Course level Undergraduate Studies

Course type Professional

Field of study Power and Electrical Engineering

Responsible instructor Ribickis Leonīds

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Academic staff Ribickis Leonīds

Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits

Language of instruction LV, EN, RU

Possibility of distance learning Not planned

Abstract DC electric motor characteristics and calculation of the electric drive for mechanism including its

drive operating mode calculations, principal circuitry creation, parameter estimation;

AC electric drive characteristic calculation, the electric drive creation for mechanism of the project,

including creation of the work estimates, the principal circuitry and parametric calculations.

Goals and objectives of the course in terms of

competences and skills

The aim is to teach students to perform specific calculations of electric drive and its establishment,

including the principal electric scheme and the creation of technical documentation.

Structure and tasks of independent studies Students at home must calculate three characteristic sets for diferent electrical motors.

Must be done computer modeling in Virtuallab of given drives.

Establish a study project on a concrete mechanism electrical drive realization.

Recommended literature Ribickis L., Valeinis J. Elektriskā piedziņa mehatronikas sistēmās. - Rīga:RTU, 2008. - 286 lpp.

Course prerequisites Knowledge of electrical machines, Power Electronics and Electrical Drive.

Courses acquired before EEM305 Electrical Machines AND EEP344 Power Electronics AND EEI212 Fundamentals of

Electrical Drives

Course outline

Theme Hours

DC Independent excitation motor electromechanical characteristic calculation in starting and braking modes 4

DC series excitation motor electromechanical characteristic calculation in starting and braking modes 4

AC induction motor electromechanical characteristic calculation in starting and braking modes 4

Calculation of electromagnetic transition process for electrical drive 4

Calculation of motion process of electrical drive 4

The project assignment - metal-planing machine drive development 2

Description of metal-planing machine operation process and motor operating mode 2

Metal-planing machine electrical motor selection and load characteristic calculation 2

The drive power converter and its control system 2

Description of the principal electric scheme and creation of technical documentation and its presentation 2

Consultation on the project 2

Learning outcomes and assessment

Learning outcomes Assessment methods

Being able to calculate the electric characteristics of the various technical parameters of the electric

drive

Defense of the three homeworks

Being able to calculate the wire-led mechanism for the motion processes of the technological process Advocacy of calculate mechanism motion

chart

Be able to set up principal electric scheme and make the parameter estimates for electrical drive of

concrete mechanism

Successful defense of parameter calculation of

principial scheme

Being able to create electrical technical documentation and to defend it for specific mechanism Successful defense of study project

Study subject structure

Part Semester CP Hours per Week Tests

Autumn Spring Summer Lectures Practical Lab. Test Exam Work

1. * 2.0 0.0 2.0 0.0 *

RTU Course "Electrical Engineering and Electronics"

11101 Elektrotehnikas un elektronikas katedra

General data

Code EEE226

Course title Electrical Engineering and Electronics

Course status in the programme Compulsory/Courses of Limited Choice

Course level Undergraduate Studies

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Course type Academic

Field of study Power and Electrical Engineering

Responsible instructor Nadežņikovs Ņikita

Academic staff Nadežņikovs Ņikita

Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits

Language of instruction LV

Possibility of distance learning Not planned

Abstract Development of electric circuits and understanding of circuits diagrams.

Elements of electric circuits, differential equations. Three-phase alternating current systems.

Transformers. DC and AC electric machines, principles of their operation. Semiconductor devices.

Rectifiers. Elements of digital technique. Microprocessors.

Goals and objectives of the course in terms of

competences and skills

Structure and tasks of independent studies

Recommended literature 1. Nadežņikovs Ņ. Elektrotehnika un elektronika. Prezentācijas materiāli. -R.: RTU, http://

omega.rtu.lv/etp, 2008.

2. Priednieks Ē. Elektriskās ķēdes un to vienādojumi. - R.: RTU Izdevniecība, 2002.

3. Priednieks Ē. Elektriskās mašīnas elektrotehnikas kursā. - R.: RTU Izdevniecība, 1992.

4. Zītars U. Elektronikas pamati. - R.: RTU Izdevniecība, 2002.

5. Zolbergs J. Vispārīgā elektrotehnika. - R.: Zvaigzne, 1974.

6. Elektrotehnikas un elektronikas laboratorijas darbi.- R.: RTU Izdevniecība, 1999.

7. Grafoanalītisko darbu uzdevumi elektrotehnikā. - R.: RTU izdevniecība, 1990.

Course prerequisites

Courses acquired before

Course outline

Theme Hours

4

2

4

4

4

2

4

8

Learning outcomes and assessment

Learning outcomes Assessment methods

Study subject structure

Part Semester CP Hours per Week Tests

Autumn Spring Summer Lectures Practical Lab. Test Exam Work

1. * 2.0 1.0 0.0 1.0 *

RTU Course "Traction Drives of Electrical Transport"

11103 Industriālās elektronikas un elektrotehnol.katedra

General data

Code EEP346

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Course title Traction Drives of Electrical Transport

Course status in the programme Courses of Free Choice

Course level Undergraduate Studies

Course type Professional

Field of study Power and Electrical Engineering

Responsible instructor Ribickis Leonīds

Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits

Language of instruction LV, EN, RU

Possibility of distance learning Not planned

Abstract Mechanics of the electrical traction drives. Types of electrical motors applied and its

characteristics. Speed regulation of the DC electrical motors. Pulse regulation. Braking processes.

Problems of the magnetic

field weakening. Formation of the transient processes. Induction mode traction motors,

characteristics, and specifics.Regulation of speed, frequency converters and inverters. Braking

regimes. Formation of the transient processes. Special action regimes of traction drives, skidding

regimes. Automation of electrical drives, elements of the systems.

Goals and objectives of the course in terms of

competences and skills

Main target is to acquaint students with the general knowledges of application of electrical drives,

electrical machines, power electronics in electrical transport national economy systems. Student

must be able apply predominatory knowledges for simplified calculation of motion,

electromechanical and energetic characteristics of electrical transport.

Structure and tasks of independent studies Is anticipated elaboration of the 3 individualized home works - calculation of characteristics of DC

series excitation electrical motor; calculation of energetic characteristics of AC network DC drive

with controlled rectifiers; calculation of motion process with AC induction motor electrical drive.

For approval of results of calculations must be applied computer simulation programm

Virtuallab2.0. Elaboration of home works is term for succesful passing of test lesson.

Recommended literature Ribickis L., Raņķis I. Electrical Drives. Static characteristics and methods of speed control . Riga:

RTU. 1996. 107.p.

Ribickis L., Valeinis J. Elektriskā piedziņa mehatronikas sistēmās. - Rīga:RTU, 2008. - 286 lpp.

Transporta elektriskās mašīnas/ J.Dirba, K.Ketners, N.Levins, V.Pugačevs. Rīga: Jumava,2002, 344

lpp.

Course prerequisites Knowledges in electrical drives, electrical machines, power electronics

Courses acquired before EEI212 Fundamentals of Electrical Drives AND EEP344 Power Electronics AND EEM305

Electrical Machines

Course outline

Theme Hours

Types of an electrical transport and its drives 2

Traction supply sources and its connections with electrical motors 4

DC contact network DC electrical motors modern drives 4

DC pulse regulators and its characteristics in the DC-DC electrical drives 4

Calculation of motion and energetic processes in the pulse regulation systems 4

Realization of DC drives from AC contact network 4

Application of induction motors in electrical transport 2

Aspects of speed regulation in induction motors electrical drives 4

Elaboration of vector and direct torque control systems for AC drives of an electrical transport 4

Learning outcomes and assessment

Learning outcomes Assessment methods

To be able classify electrical transport traction drives in respect to properties of power supply and

electrical motors

Succesful passing of test negotations

To be able explain a motion regimes, apply equations for calculation of motion processes as also

energetic connections

Qualitative elaboration of the anticipated 3

home works for admittance of the test lesson

and succesful passing of test negotations

Study subject structure

Part Semester CP Hours per Week Tests Tests (free choice)

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Autumn Spring Summer Lectures Practical Lab. Test Exam Work Test Exam Work

1. * 2.0 2.0 0.0 0.0 *

RTU Course "Power Electronics"

11103 Industriālās elektronikas un elektrotehnol.katedra

General data

Code EEL301

Course title Power Electronics

Course status in the programme Compulsory/Courses of Limited Choice

Course level Undergraduate Studies

Course type Academic

Field of study Power and Electrical Engineering

Responsible instructor Raņķis Ivars

Academic staff Raņķis Ivars

Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits

Language of instruction LV, EN, RU

Possibility of distance learning Not planned

Abstract Powerful semiconductor elements and its application. Rectifiers, control, operation regimes, the AC

regulation, DC pulse regulation, inverters, control, modulation.

Goals and objectives of the course in terms of

competences and skills

Show to students possibilities of electrical parameters convertation using semiconductor diodes,

thyristors, transistors elements, teatch them methods of simplified calculations with aim to provide

calculations and evalautions in converters circuits

Structure and tasks of independent studies At home must be done 10 individual calculations tasks on converters and evaluation of results in

Virtuallab computer space

Recommended literature I.Raņķis, I. Buņina Energoelektronika, Rīga ,RTU, 2007., 186 lpp.

Course prerequisites Theorethical bases of electrical engineering

Courses acquired before EEE223 Fundamentals of Electrical Engineering Theory

Course outline

Theme Hours

Classification of semiconductor converters, Semiconductor diodes, its characteristicss 2

Characteristics of converters' currents and voltages, schemes of uncontrolled rectifiers 2

Principial parameters of schemes of uncontrolled rectifiers 2

Calculation of transformers of uncontrolled rectifiers 2

Analyzis of current shape for uncontrolled rectifiers, commutation processes in uncontrolled rectifiers 2

Thyristor, operation principles, characteristics 2

Operation principle of controlled rectifier, regulation characteristics of controlled rectifier 2

Invertor operation case in controlled rectifier 2

Power factor of controlled rectifier 2

Transistors and its characteristics 2

Pulse Regulators of the DC voltage, filters of pulse regulators 2

Reversible pulse regulator 2

Single phase voltage inverters 2

Three phase voltage inverters 2

Sinus modulation of voltage inverters 2

Current source inverters 2

Learning outcomes and assessment

Learning outcomes Assessment methods

To be able draw and carry up the basic calculations in circuits of uncontrolled rectifiers Succesfully worked out two home calculations

tasks on uncontrolled rectifiers

To be able explaine comutation processes in uncontrolled rectifiers Succesfully worked out home calculation task

on comutation processes in uncontrolled

rectifiers

To be able explaine operation principle of controlled rectifier and its regulations characteristics Succesfully worked out 2 home calculation

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tasks on controlled rectifiers

To be able explaine load characteristics of controlled rectifiers and its invertation regime Succesfully worked out home calculation task

on DC transmission

To be able explaine operation of DC pulse regulators and carry out its calculation Succesfully worked out two home calculation

tasks on DC pulse regulators

To be able explaine operation principle of voltage and current inverters and carry out its calculation Succesfully worked out two home calculation

tasks on inverters

Study subject structure

Part Semester CP Hours per Week Tests

Autumn Spring Summer Lectures Practical Lab. Test Exam Work

1. * 2.0 2.0 0.0 0.0 *

RTU Course "Physics"

14501 Kondensētās vielas inženierfizikas profesora gr.

General data

Code MFZ101

Course title Physics

Course status in the programme Compulsory/Courses of Limited Choice

Course level Undergraduate Studies

Course type Academic

Field of study Physics

Responsible instructor Medvids Artūrs

Academic staff Medvids Artūrs

Volume of the course: parts and credits points 2 parts, 6.0 Credit Points, 9.0 ECTS credits

Language of instruction LV, EN, RU

Possibility of distance learning Not planned

Abstract Physics is closely related to the natural sciences, leads to the new multidisciplinary research

directions - biophysics, material science, physical chemistry. Physics is also the basis for

engineering. Directly from the development of physics the technical level of production is

dependent on. All this points to the fact that the physics course at the technical universities have a

special meaning. Physics course for engineers is a fundamental theoretical training base, without

which the further success of the engineer is not possible. Course of study based on the School of

Mathematics, provides the theoretical basic knowledge of mechanics, molecular physics and

thermodynamics, electromagnetism, wave and quantum optics, quantum mechanics, solid state

physics, atomic physics, nuclear, and particle physics. In the frame of the course practical skills of

solving methods as well as experimental work skills and the experimental results of mathematical

processing basics are acquired.

The course consists of lectures with practical examples and laboratory work.

Goals and objectives of the course in terms of

competences and skills

To master the theoretical knowledge and practical skills in physics at university, using elements of

higher mathematics.

Develop physical and technical perception and logical thinking.

Orient the classical physics and the latest breakthroughs in physics and their application of various

technical problems, including high-value technology.

Able to demonstrate the theoretical physics question the commitment to the practice, as well as

being able to solve relatively Standard practical problems in physics.

Able to carry out physics experiments, mathematical processing of obtained experimental results, to

proceed the analysis of the obtained results and to make conclusions.

Structure and tasks of independent studies Independent study of textbooks and solution of the practical exercises. The preparation of the

theoretical introduction for each laboratory work, the mathematical processing of the laboratory

work and concluding reports preparation.

Recommended literature 1. Fizika. Red. A.Valters. Rīga: Zvaigzne, 1992. 643 lpp.

2. Apinis, A. Fizika. Rīga: Zvaigzne, 1972. 706 lpp.

3. Grabovskis, R. Fizika. Rīga: Zvaigzne, 1983. 645 lpp.

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4. Hugh D. Young, Roger A. Freedman. University Physics. USA, QC21.2Y67, 2000, 1513 p.

5. Halliday, D., Resnick, R., Walker, J. Fundamental of physics. 8th ed., USA, QC21.3H35, 2008,

1334 p.

6. Volkenšteine, V. Uzdevumu krājums fizikā. Rīga: Zvaigzne, 1968. 353 lpp.

7. Fizikas uzdevumu risināšana. Red. A.Valters. Rīga: Zvaigzne, 1982. 175 lpp.

8. Novērojumu un mērījumu rezultātu matemātiskās apstrādes pamati: metodiski norādījumi

laboratorijas darbu veikšanai. Sast. A.Valters, N. Zagorska. Rīga: RTU, 1991. 25 lpp.

9. Uzdevumu krājums vispārīgajā fizikā. M. Jansone, A. Kalnača, J. Blūms u.c. Rīga: RTU, 2000,

247 lpp.

10. Fizikas praktikums tehniskās universitātes studentiem. I. Klincāre, M. Jansone, A. Ķiploka u.c.

Rīga: RTU, 2001,189 lpp.

11. Fizikas praktikums tehniskās universitātes studentiem. M. Jansone, I. Klincāre, A. Ķiploka u.c.

Rīga: RTU, 2003. 172 lpp.

12.Uzdevumu krājums vispārīgajā fizikā. Red. A. Ozols. Rīga: RTU, 2006. 273 lpp.

Course prerequisites Physics, chemistry and mathematics in high school level course, Elements of higher mathematics.

Courses acquired before

Course outline

Theme Hours

Introduction to the material point and an absolutely rigid body kinematics. 2

Dynamics of material point. 2

Rigid body dynamics. 2

Mechanical oscillations. 2

Mechanical waves. 2

Thermodynamic systems. Ideal gas. The physical basics of molecular kinetic theory. 3

Transfer processes. 1

Basics of thermodynamics. 2

Electric field in a vacuum. 2

Electric field in dielectrics. Conductors in electric field. 2

Direct current. Magnetic field in a vacuum. 2

Magnetic fields of currents. 2

Magnetic field in the substance. 2

Magnetics. 1

Electromagnetic induction. 2

Maxwell’s equations. 2

Electromagnetic oscillations. 3

Electromagnetic waves. 1

Dispersion of the light. 1

Interference of the light. 3

Diffraction of the light. 3

Polarisation of the light. 2

Thermal radiation. 2

External photoelectric effect. 2

Quantum mechanical features. 3

Atomic structure models. 1

Light emission and absorption of atoms. 2

Energy bands formation in crystals. 2

Conductivity of pure and doped semiconductors. 2

The atomic nucleus structure and composition. Radioactivity types. 2

Nuclei and Conservation Laws. Particles. 2

Test (theory). 2

Introduction class for laboratories. 2

The basics of mathematical processing of measurement results. 2

Laboratories. 16

The adoption of Laboratory work reports. 8

Test (practical problems). 4

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Learning outcomes and assessment

Learning outcomes Assessment methods

Able to navigate the classical physics topics and issues, as well as the latest achievements of physics. Test types: tests, home works, written exam.

Criteria: able to freely navigate different types

of physical regularities.

Able to independently solve the problems of classical physics-standard tasks, the use of higher

mathematics.

Test types: tests, home works, written exam.

Criteria: Able to take on specific numerical

estimates.

Able to independently carry out physics experiments, and to do the mathematical treatment of the

obtained results

Test Types: Test lab work. Criteria: Ability to

process and quantitatively analyze the

experimental results

Able to discern the laws of physics applications in different engineering applications and their

implementation in nature and everyday life.

Test types: tests, home works, written exam.

Criteria: Able to explain the physics related to

natural phenomena and engineering principles

for the physical operation of devices.

Study subject structure

Part Semester CP Hours per Week Tests

Autumn Spring Summer Lectures Practical Lab. Test Exam Work

1. * * 3.0 2.0 0.0 1.0 *

2. * * 3.0 2.0 0.0 1.0 *

RTU Course "The French Language"

01A02 Tehniskās tulkošanas katedra

General data

Code HVD119

Course title The French Language

Course status in the programme Compulsory/Courses of Limited Choice; Courses of Free Choice

Course level Undergraduate Studies

Course type Academic

Field of study Languages

Responsible instructor Iļjinska Larisa

Volume of the course: parts and credits points 2 parts, 2.0 Credit Points, 3.0 ECTS credits

Language of instruction LV, RU, FR

Possibility of distance learning Planned

Abstract To improve the competitiveness of graduate engineers in the international labor market it is

necessary to provide the students with opportunity to use the language often and more effectively in

all those aspects within the selected professional field. All the texts for reading comprehension,

writing and speaking topics are selected according to the study program taking into account the

average level of language skills. The selected lexical and syntactic constructions typical of the

technical language and language for specific purposes (LSP) are taught independently on the study

program.

Goals and objectives of the course in terms of

competences and skills

The aims of the program are to develop students' speaking, writing, reading and listening skills; to

improve students' knowledge of French for special purposes and business correspondence skills; to

increase the stock of professional terminology, and to develop students' communicative

competences.

Structure and tasks of independent studies 3 written tasks, 2 home reading tasks a semester

Recommended literature 1.G. Capelle, R. Menand Taxi 1, Hachette 2003

2.R. Menand Taxi 2, Hachette 2003

3.A. Berthet, C. Hugot, B. Sampsonis, M. Waendendries Alter Ego, Hachette 2006

4.A. Monnerie Bienvenue en France, Didier 1991

5.A. Ivanchenko Parlons français, Kapo 2005

6.A. Vicher Grammaire progressive du français pour les adolescents (niveau débutant), Cle

International 2001

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7.I. Popova, J. Kazakova Cours de la grammaire française, Nestor Academic Publishers 1999

8.G. Mauger Cours de langue et de civilization françaises, Librairie Hachette 1995

Course prerequisites Secondary school level after centralised exam

Courses acquired before

Course outline

Theme Hours

Introduction. RTU. Studies at the university. Tertiary education in Latvia and abroad 2

Prominent scholars and researchers. Development of science throughout centuries 2

Latvia: economic, industrial and cultural aspects 2

Recent information technologies and human resources 2

Studies and practical application. Competition, CV, application letter, work interview 2

Home reading. Presentation, translation, terminology 6

Text in the special field. Discussion of the text. Terminology and professional language 8

Tests: language, communicative and socio-cultural competences 8

Learning outcomes and assessment

Learning outcomes Assessment methods

Tests: language, communicative and socio-cultural competences During the classes the students correctly use

terms in speaking and writing activities.

Students should learn 120 new terms a

semester.

The students are able to recognize and write essays of different types, and compile technical

documentation.

The students successfully perform all the tasks

connected with writing skills development

having completed three written works per

academic semester.

The students are able to participate in general and profession-oriented discussions, dialogues,

interviews and other types of communicative situations.

Students take part in the speaking activities,

presenting their thoughts in a clear

comprehensible form, adequately reacting and

giving answers, logically logically formulating

conclusions.

The students are able to recognize, analyze, evaluate and summarize scientific technical information

from various scientific and popular scientific resources.

The students master two scientific technical

texts from international sources, prepare

presentation and commentaries, summarize

them, deliver the presentation, take part in

discussion

The students are able to successfully pass a final exam testing listening, reading, writing and speaking

skills.

The assessment is carried out according to 10-

grade scale. Language proficiency level should

correspond to the level B2 according to CEFR.

Study subject structure

Part Semester CP Hours per Week Tests Tests (free choice)

Autumn Spring Summer Lectures Practical Lab. Test Exam Work Test Exam Work

1. * 1.0 0.0 1.0 0.0 *

2. * 1.0 0.0 1.0 0.0 *

RTU Course "Random Processes"

12022 Varbūtību teorijas un mat. statistikas katedra

General data

Code DMS214

Course title Random Processes

Course status in the programme Compulsory/Courses of Limited Choice

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Course level Undergraduate Studies

Course type Academic

Field of study Mathematics and Statistics

Responsible instructor Šadurskis Kārlis

Academic staff Šadurskis Kārlis

Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits

Language of instruction LV

Possibility of distance learning Not planned

Abstract Definition and application of random process. Multivariate distributions. Correlation theory.

Classification of processes. Stationary processes. Markov chain with discrete and continuous time.

Markov processes. Gussian processes. Imiitation of random processes.

Goals and objectives of the course in terms of

competences and skills

Objective of the course is to acquaint students with basics of random processes’ theory and its

mathematical apparatus, assiduity to Markov chains allow to understand the regularities of the

random dynamic phenomena.

Structure and tasks of independent studies The course provides the performance and defending of two individual independent homeworks

Recommended literature 1.V.Carkova, D.Kalniņa. Gadījuma procesi., Izd.LU, Rīga,1981.

2. Sh.Ross. Introduction to Probability Models. Fifth Eddition, Academic Press, NY,1995.

3.K.Šadurskis, V.Carkova. Markova procesi. Rīga, 2004g.

4.V.E. Gmurman. Varbūtību teorija un matemātiskā statistika. M; Visšaja škola,1977.

Course prerequisites

Courses acquired before

Course outline

Theme Hours

Definition of the random process. Multivariate distributions. Correlation function. Random processes in the wide sense 2

Practical. Correlation theory elements. 2

Markov processes. Markov property. Transition probability functions. 2

Practical. Transition probability functions. 2

Classification of Markov processes. Discrete time Markov chains. Chapman - Kolmogorov equations. 2

Practical. Chapman - Kolmogorov equations. 2

Discrete time Markov chains. Classification of states of Markov chain. Recurrent and transient states. 2

Practical. Classification of states of Markov chain. 2

Discrete time Markov chains. Stationary distribution. 2

Practical. Discrete time Markov chains. Stationary distribution. 2

Continuous time Markov chains. Kolmogorov differential systems for transition and marginal probabilities.. 2

Practical. Kolmogorov differential systems for transition and marginal probabilities.. 2

Continuous time Markov chains. Stationary distribution. 2

Practical. Continuous time Markov chains. Stationary distribution. 2

Stationary distribution of queuing systems. Erlang formulas. 2

Practical. Erlang formulas. 2

Learning outcomes and assessment

Learning outcomes Assessment methods

Discrete time Markov chains. Ability to construct transition probability matrix and apply it for

calculation of characteristics of the chain, to find stationary distribution both theoretically and with

immitation model.

Problems included into homework 1

Continuous time Markov chains. Ability to construct transition density matrix and apply it for

calculation of characteristics of the chain, to find stationary distribution both theoretically and with

immitation model.

Problems included into homework 2

Random processes' correlation theory. Markov processes. The major know-how for analysis of

Markov chains.

Problems included into exam

Study subject structure

Part Semester CP Hours per Week Tests

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Autumn Spring Summer Lectures Practical Lab. Test Exam Work

1. * 2.0 1.0 1.0 0.0 *

RTU Course "Introduction to Electrical Drives"

11103 Industriālās elektronikas un elektrotehnol.katedra

General data

Code EEP351

Course title Introduction to Electrical Drives

Course status in the programme Compulsory/Courses of Limited Choice

Course level Undergraduate Studies

Course type Academic

Field of study Power and Electrical Engineering

Responsible instructor Ribickis Leonīds

Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits

Language of instruction LV, EN, RU

Possibility of distance learning Not planned

Maximum auditorium capacity 150

Maximum number of students per semester 300

Abstract Notion of electric drive, history, calssification. Mechanical characteristics of operation machines

and motors. Electro-mechanical characteristics of DC and AC motors. Influence of parameters.

Speed control in electric drive. Transient processes, calculation power indices, selection of motors.

Goals and objectives of the course in terms of

competences and skills

The aim of the course is to study mechanics of electric drive systems, influence of parameters on

the characteristics of electric drive, methods of speed control, methods of transient processes

calculations, calculations of power indices of the drives and aproach to the selection of motors for

different regimes of electric drive operation. The students are required to describe and analyse

systems of electric drives and to calculate and evaluate the influence of transient processes on the

operation of electric drive.

Structure and tasks of independent studies Independent work for the mastering of lectures material. Preparation for test works. Before each

practical work the students are expected to prepare its theoretical basics overview; after they

complete the final review and defend it.

Recommended literature 1. L. Ribickis, J. Valeinis. Elektriskā piedziņa mehatronikas sistēmās. RTU izdevniecība, 2008.

286 lpp.

2. I. Boldea, S. A. Nasar. Electric Drives. CRC Press, 1999. 411 lpp.

3. N. Mohan. Electric Drives an Integrative Approach. MNPERE Minneapolis, 2001. 424 lpp.

4. Н. Ф. Ильинский. Основы электропривода. МЭИ, 2007. 221 с.

Course prerequisites Theoretical basics of electrical engineering, Mathematics, Electric machines.

Courses acquired before EEE209 Electrical Engineering and Electronics (Part 1) AND DMF101 Mathematics AND

EEM426 Special Purposes Electrical Machines

Course outline

Theme Hours

Introduction and history of electrical drive 1

Mechanics of elelctrical drive 1

Mechanical characteristics and parameters of the DC drives 1

Mechanical characteristics and parameters AC drives 1

Mechanical characteristics and parameter influence synchronous of special-type drives 1

Methods of speed adjusting for DC drives 1

Methods of speed adjusting for Three-phase AC drives 1

Methods of speed adjusting for special-type drives 1

Calculation of electro-mechanical transient processes in DC drives 1

Calculation of electro-mechanical transient processes in AC drives 1

Dynamical characteristics and parameter calculation for Robot drives 1

Power indices of electrical drives for robot systems 1

Calculation of energy losses in electrical drive systems 1

Operation regimes of electrical drives and selection of power 1

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Control systems of electrical drives 2

1. Practical work. Machanical characteristics of DC motor with independent excitation. 4

2. Practical work. Machanical characteristics of induction motors. 4

3. Practical work. Speed control of asynchronous drive by means of frequency converters. 4

4. Practical work. Speed control of DC motor drive by means of controlled rectifier. 4

Learning outcomes and assessment

Learning outcomes Assessment methods

To be able to describe electrical drive types, parametric influence on mechanical and

electromechanical characteristics.

Test in which student must prove his ability to

describe different modes of electrical drives

and its schemes parameters influence on

characteristics of drives. Passed an exam.

To be able calculate mechanical and electromechanical characteristics of DC and AC electrical drives Test in which student must prove his ability to

calculate mechanical and electromechanical

characteristics of DC and AC electrical drives.

Passed an exam.

To be able calculate transient processes in DC and AC electrical drives Test in which student must prove his ability to

calculate transient processes in DC and AC

electrical drives. Passed an exam.

To be able calculate power losses in DC and AC electrical drives Test in which student must prove his ability to

calculate power losses in DC and AC electrical

drives. Passed an exam.

To be able choose electrical motors for different operation cases of electrical drives in different

technological processes

Test in which student must prove his ability to

choose electrical motors for different operation

cases of electrical drives in different

technological processes. Passed an exam.

To be able describe typical speed control methods of electrical drives. Test in which student must prove ability to

explain speed control method principles of

electrical drives. Passed an exam.

Study subject structure

Part Semester CP Hours per Week Tests

Autumn Spring Summer Lectures Practical Lab. Test Exam Work

1. * * * 2.0 1.0 1.0 0.0 *

RTU Course "Introduction to Study Field"

12307 Sistēmu teorijas un projektēšanas katedra

General data

Code DSP105

Course title Introduction to Study Field

Course status in the programme Compulsory/Courses of Limited Choice

Course level Undergraduate Studies

Course type Academic

Field of study Computer Science

Responsible instructor Grundspeņķis Jānis

Academic staff Grundspeņķis Jānis

Volume of the course: parts and credits points 1 part, 1.0 Credit Points, 1.5 ECTS credits

Language of instruction LV, EN, RU

Possibility of distance learning Not planned

Abstract During first year studies at the university former pupils meet a rather different style of teaching and

learning, do not know each other and have unclear idea about their future profession. All mentioned

facts influence their motivation to continue studies in future. The objective of the course is to

stimulate students’ early adoption to university requirements and their motivation to study seriously

and systematically meeting the stated requirements. This is achieved by making them acquainted

with the specificity of university studies (faculty’s structure, requirements of the study process,

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pedagogical and scientific activities) during the first 3 lectures, as well as presenting the essence

and perspectives of the chosen profession in the labour market on the basis of a business game

during remaining lectures. In the context of the business game students are divided into several

groups and each group, guided by its supervisor, develops a specific system by going through all

stages in a system development process and identifying activities, working specialists and preparing

documents at each stage. At the end of the course each group demonstrates achieved results and

acquires feedback from the supervisor.

Goals and objectives of the course in terms of

competences and skills

The goal of the course is to acquaint students with the faculty’s structure, to provide general

knowledge about the implementation and basic requirements of the study process, to present

information about pedagogical and scientific activities within the faculty, as well as to present the

essence and perspectives of the chosen profession in the labour market.

Structure and tasks of independent studies During the course students must work out a report on a chosen topic. The topic is chosen by using

an electronic registration system. Additionally in the report students must represent a material

acquired during first 3 lectures. Materials on a system development process are provided for

students for their self-study before lectures. Requirements for the report and learning materials are

located in the e-study environment. The report must be submitted during the last week before the

examination session.

Recommended literature Elektroniskie materiāli e-studiju vidē

Course prerequisites Not necessary

Courses acquired before

Course outline

Theme Hours

Mission and structure, pedagogical and scientific activities of Faculty of Computer Science and Information Technology 2

Study content, study work and activities outside studies 2

Organizations of the study process, students’ rights and responsibilities 2

Beginning of the system development project 2

Stage of requirements analysis in a system development process 2

Stages of design and implementation in a system development process 2

Stages of testing and maintenance in a system development process 2

Finishing the system development project 2

Learning outcomes and assessment

Learning outcomes Assessment methods

Students will know the mission, objectives, pedagogical and scientific activities of the Faculty, as

well as a content and organization of studies

Report.

Students will know stages of a system development process and project preparation activities Practical work .

Students will know the essence of requirements analysis stage in a system development process and

will be able to develop simplified interview protocols and a requirements specification

Practical work.

Students will know the essence of design and implementation stages in a system development process

and will be able to develop a simplified design specification, by drawing system’s forms

Practical work.

Students will know the essence of testing and maintenance stages in a system development process

and will be able to develop a simplified report on system’s testing results

Practical work.

Study subject structure

Part Semester CP Hours per Week Tests

Autumn Spring Summer Lectures Practical Lab. Test Exam Work

1. * 1.0 0.5 0.5 0.0 *

RTU Course "Industrial robot control systems"

12215 Datorvadības sistēmu profesora grupa

General data

Code DDI701

Course title Industrial robot control systems

Course status in the programme Compulsory/Courses of Limited Choice

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Course level Undergraduate Studies

Course type Academic

Field of study Computer Science

Responsible instructor Markovičs Zigurds

Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits

Language of instruction LV

Possibility of distance learning Not planned

Abstract In case of subject, basic knowledge about robotics sphere are given. At the beginning of course

student receives information about different robot control mechanisms (technical realization,

manipulator kinematics, direct and inverted kinematic task) and principles (discreet, adaptive and

intellectual control). In further, technical implementation and adaptive control mechanism

principles are discussed. At the end of the course students are informed about existing adaptive

robotic system.

Goals and objectives of the course in terms of

competences and skills

The main aim is to introduce student with different robot control systems. Competence of student is

described as self ability to detect and describe existing robot control system, give a control

algorithm and structure scheme, and possibility to collect all knowledge to construct own robotic

system.

Structure and tasks of independent studies Additional literature acquisition and individual solution of kinematical task.

Recommended literature Matricu teorijas pielietojumi robottehnikā. RPI, Rīga, 1988.

Robottehniskās sistēmas un tehnoloģiskie kompleksi. Laboratorijas darbu apraksti. RPI, Rīga, 1987.

Adaptive Control of Robot Manipulators, An-Chyan Huang and Ming-Chih Chien. ISBN: 978-981-

4307-41-3, 226. lpp, 2010.

Course prerequisites

Courses acquired before DAM103 Mathematics

Course outline

Theme Hours

1. History of robotics, structure schemes, industrial robot structure and elements, robot generations and comparison; 1

2. Industrial robot (IR) discreet cyclic control; 1

3. IR discreet positional control; 1

4. IR contour control; 1

5. Kinematics of manipulator; 1

6. Manipulator coordinate system; 1

7. Detection of original position; 1

8. Manipulator movement, direct task; 1

9. Inverted kinematical task (simplified); 1

10. Inverted kinematical task (full version); 1

11. Classification of external sensors, position sensors, pressure and power transducer; 1

12. Direction, anti glide and location transducers; 1

13. Adaptive IR principles, adaptation for separate position; 1

14. External adaptation for whole manipulator; 1

15. Adaptive assembling robot technical complex for non oriented object seizing; 1

16. Welding robot adaptive control 1

Learning outcomes and assessment

Learning outcomes Assessment methods

Student has a basic knowledge about robot control principles and define control system types and

usage

Appropriate theoretical knowledge in exam.

Positive evaluation in additional literature

review.

Can choose industrial robot control algorithm and structure elements;

Appropriate theoretical knowledge in exam.

Positive evaluation in additional literature

review.

Have ability to create robot control platform Appropriate theoretical knowledge in exam.

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Positive evaluation in additional literature

review.

Student has knowledge in different robot control systems and can define control system types and

usage

. Have ability to create overall industrial robot system by including work instruments, work objects,

frame of reference and movement structure.

Appropriate theoretical knowledge in exam.

Positive evaluation in additional literature

review.

Study subject structure

Part Semester CP Hours per Week Tests

Autumn Spring Summer Lectures Practical Lab. Test Exam Work

1. * 2.0 2.0 0.0 0.0 *

RTU Course "Logical Foundations of Intelligent Robots"

12307 Sistēmu teorijas un projektēšanas katedra

General data

Code DSP723

Course title Logical Foundations of Intelligent Robots

Course status in the programme Compulsory/Courses of Limited Choice

Course level Undergraduate Studies

Course type Academic

Field of study Computer Science

Responsible instructor Grundspeņķis Jānis

Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits

Language of instruction LV

Possibility of distance learning Not planned

Abstract The direction of artificial intelligence which has the goal to develop intelligent systems that think

rationally is based on first-order logic. Many different intelligent systems are based on first-order

logic, too. The course deals with intelligent robots and intelligent robotic systems that are based on

first-order logic, construction of knowledge base, inference rules, reasoning such as forward and

backward chaining, and resolution, agent design and planning with focus to intelligent robots.

Insight is given on higher-order logics and logics for multiagent systems to which systems

consisting of several robots belong.

Goals and objectives of the course in terms of

competences and skills

The goal of the course is to give knowledge about intelligent robots and intelligent robotic systems

which are based on first-order logic and higher-order logics, and to acquire skills for development

of such components as knowledge base and inference mechanism.

Structure and tasks of independent studies Students must work out a course work in which he/she, using first-order logic, must construct a

knowledge base for an intelligent robot and implement such inference mechanisms as forward and

backward chaining, and resolution in logical and planning agents which are modules of intelligent

robotic system.

Recommended literature 1. Russell S. and Norvig P. Artificial Intelligence. A Modern Approach. Prentice Hall, New Jersey,

2003.

2. Luger G.F. Artificial Intelligence. Structures and Strategies for Complex Problem Solving, 5th

edition. Addison Wesley, Harlow, England, 2005.

3. Brachman R.J., Levesque H.J. Knowledge Representation and Reasoning. Morgan Kaufmann

Publishers, 2004.

4. Read C. Logic, Deductive and Inductive. Nabu Press, 2010.

5. Hurley P.J. A Concise Introduction to Logic. Wadsworth Publishing, 2011.

Course prerequisites Students must know syntax and semantics of propositional and predicate logic.

Courses acquired before DSP202 Discrete Structures of Computer Science

Course outline

Theme Hours

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First-order logic-based intelligent robots and robotic systems 4

Knowledge representation using first-order logic for intelligent robots and robotic systems 4

Inference rules in first-order logic 4

Reasoning in first-order logic (forward and backward chaining, resolution) 4

Design of agents who realize functionality of intelligent robots using first-order logic 4

Applications of first-order logic in the development of planning agents which are used in robotic systems 4

Higher-order logic and situation calculus 4

Logics for multiagent systems with applications in multi-robot systems 4

Learning outcomes and assessment

Learning outcomes Assessment methods

Students will know first-order logic-based structure of intelligent robotic systems Practical work, questions of the theoretical part

of examination

Students will be able to develop a knowledge base for an intelligent robot using first-order logic Practical work, defence of course work,

questions of the theoretical part of examination

Students will know inference rules and will be able to use reasoning in first-order logic for the

development of intelligent robots

Practical work, defence of course work,

questions of the theoretical part of examination

Students will be able to design agents which implement functionality of intelligent robots using first-

order logic

Practical work, defence of course work,

questions of the theoretical part of examination

Students will be able to use first-order logic in planning for the development of intelligent robots Practical work, defence of course work,

questions of the theoretical part of examination

Students will know basics of higher-order logics and logics for multiagent robotic systems Practical work, questions of the theoretical part

of examination

Study subject structure

Part Semester CP Hours per Week Tests

Autumn Spring Summer Lectures Practical Lab. Test Exam Work

1. * 2.0 1.0 1.0 0.0 *

RTU Course "Intelligent Electronic Equipment in Robotic Systems"

11103 Industriālās elektronikas un elektrotehnol.katedra

General data

Code EEI358

Course title Intelligent Electronic Equipment in Robotic Systems

Course status in the programme Compulsory/Courses of Limited Choice

Course level Undergraduate Studies

Course type Academic

Field of study Power and Electrical Engineering

Responsible instructor Ribickis Leonīds

Volume of the course: parts and credits points 1 part, 3.0 Credit Points, 4.5 ECTS credits

Language of instruction LV, EN, RU

Possibility of distance learning Not planned

Maximum auditorium capacity 100

Maximum number of students per semester 200

Abstract Industrial electronic devices with self-educated and fuzzy logic control equipment on the basis of

standard processors and special microchips. Artificial neural networks in motion control in the

robotic control systems. Generic algorithms and artificial intelligent in the control of robots.

Goals and objectives of the course in terms of

competences and skills

The aim of the subject is to study basics of artificial intelligent in robotic systems applying fuzzy

logic controllers, artificial neural networks and genetic algorithms.

Structure and tasks of independent studies Before each laboratory work the students are expected to prepare report on its theoretical basics.

Recommended literature 1. Intelligent Control Systems using Computational Intelligence Techniques. Edited by A.E.Ruano.

The Institution of Electrical Engineers, 2005. 454 lpp.

2. Thomas Braunl. Embedded Robotics, Mobile Robot Design and Applicarions with Embedded

Systems, Second Edition. Springer, 2006. 458 lpp.

3. Bill Drury. The Control Techniques Drives and Controls Handbook, Second Edition. The

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Institution of Electrical Engineers, 2009. 724 lpp.

Course prerequisites Electronics, electric drive, computer science.

Courses acquired before EEP475 Electronic Equipment

Course outline

Theme Hours

Introduction into intelligent electronic equipment. Identification of non-linear systems. 2

Modules of fuzzy logic and their design. 2

Fuzzy logic controllers. 2

Artificial neural networks. 2

Identification of control systems of non-linear robots and their control by means of artificial neural networks. 2

Adaptive control of non-linear dynamic systems. 2

Identification of non-linear control systems with local linear neuro-fuzzy modules. 2

Design and calculation of neuro-fuzzy modules. 2

Complex computer intelligence and analytical methods of errors indentification. 2

Identification of mobile robot control system localization with the help of navigating programs. 2

Built-in robotic systems. Traditional control methods. 2

Multitask programming and wireless communication models. 2

Modeling systems of mobile robots. 2

Identification of real time processes. Generic algorithms in the robots control systems. 2

Genetic programming and event-based robots control systems. 2

Artificial intelligent in robots control systems. 2

1. Lab. work. Searching for parking place of an autonomous robot using intelligent control systems. 4

2.Lab.w. Investigation of software of autonomous robot motion route identification. 4

3.Lab.w. Investigation of control systems of a walking robot. 4

4.Lab.w. Investigation of dynamic model of a submarine robot. 4

Learning outcomes and assessment

Learning outcomes Assessment methods

The students understand the essence of fuzzy logic theory and can design fuzzy logic controllers. Assessment with practical realization in the

laboratory. Passed an exam

The students understand the essence of artificial neural networks and can apply control systems of

artificial neural networks robots.

Test. Passed an exam

The students are able to understand control navigation programs of mobile robots and to apply robots

modeling systems.

Test. Passed an exam

The students can develop generic algorithms in robot control systems and realize its programing for

further realization.

Test. Passed an exam

Study subject structure

Part Semester CP Hours per Week Tests

Autumn Spring Summer Lectures Practical Lab. Test Exam Work

1. * * 3.0 2.0 0.0 1.0 *

RTU Course "The Latvian Language"

01A02 Tehniskās tulkošanas katedra

General data

Code VIL169

Course title The Latvian Language

Course status in the programme Courses of Free Choice

Course level Undergraduate Studies

Course type Academic

Field of study Languages

Responsible instructor Lauziniece Valentīna

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Academic staff Lauziniece Valentīna

Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits

Language of instruction LV

Possibility of distance learning Not planned

Abstract The integrated course is aimed at developing the Latvian language skills and competences in

connection with their major, as well as facilitating development of term papers, academic and

professional bachelor papers.

Goals and objectives of the course in terms of

competences and skills

Structure and tasks of independent studies

Recommended literature 1.Dombrovska B. Testi latviešu valodā vidusskolēniem, reflektantiem un cittautiešiem. – Rīga:

Pētergailis, 2000.

2. Ceplīte B., Ceplītis L. Latviešu valodas praktiskā gramatika. – Rīga: Zvaigzne ABC, 1997.

3.Guļevska D., Miķelsone A., Porīte I. Pareizrakstības un pareizrunas rokasgrāmata. Latviešu

valoda. – Rīga: Avots, 2002.

4. Latviešu valodas uzdevumu krājums. – Rīga: RTU, 2005.

5. Лиепниеце Л. Латышский язык для всех. – Rīga: Zvaigzne ABC, 2005.

6. Remgere Dz. Vingrinājumi latviešu valodā mazāktautību skolām 10. – 11.klasei. – Rīga:

Pētergailis, 2003.

7. Romane A. Latviešu valodas rokasgrāmata. Tabulas, shēmas. – Rīga: Zvaigzne ABC, 2000.

8. Rubīna A. Latviešu valodas rokasgrāmata. – Rīga: Zvaigzne ABC, 2006.

9. Skujiņa V. Latviešu valoda lietišķajos rakstos. – Rīga, 1999.

10. http://lv.wikipedia.org/wiki/Latvie%C5%A1u_valodas_gramatika

Course prerequisites

Courses acquired before

Course outline

Theme Hours

2

4

4

2

4

4

2

2

4

2

2

Learning outcomes and assessment

Learning outcomes Assessment methods

Study subject structure

Part Semester CP Hours per Week Tests Tests (free choice)

Autumn Spring Summer Lectures Practical Lab. Test Exam Work Test Exam Work

1. * * 2.0 0.0 2.0 0.0 *

RTU Course "Applied Software"

12301 Lietišķo datorsistēmu programmatūras profesora gr.

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General data

Code DIP217

Course title Applied Software

Course status in the programme Compulsory/Courses of Limited Choice

Course level Undergraduate Studies

Course type Academic

Field of study Computer Science

Responsible instructor Šitikovs Vjačeslavs

Academic staff Šitikovs Vjačeslavs

Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits

Language of instruction LV, EN, RU

Possibility of distance learning Not planned

Abstract Integrated application programs development principles overview on the base of MS Office.

Different components usage methods. Text editor (MS Word), spreadsheet (MS Excel),

presentation tool (MS Power Point), workflow support (MS Outlook), graphical editor (VISIO).

Collaboration of different components. Web-technology basic.

Goals and objectives of the course in terms of

competences and skills

Objective - to understand and learn the basics of applications automation.

The tasks are to learn: working with large documents, the accuracy of the input control, the check

of information elements integrity on the MS Excel programming environment, macros, user

interface creation, HTML basics and work with HTML-editors, software interaction, software

integrity (data exchange between applications, sharing of software tools), logic of presentation

creating and order of the information.

After completing the course students will have the competencies and skills in software applications

enhanced usage.

Structure and tasks of independent studies During lectures the training staff presents to students a theoretical concept and tools of those

practical realization. At the end of each lecture training staff to issue for students the task for

practical realization of the next exercise, the students start the task on workshop next to lecture and

complete work at home (if do not carry-out it during the workshop in computer class)

autonomously.

In this case, independently completed work is to defend on the workshop.

Students who missed the defense in scheduled time have to defend it on consultation.

Recommended literature 1. Sitikovs V. Application Programs. A series of lectures (in English). RTU ORTUS: ORTUS►E-

Studijas►DIP121(1),V.Šitikovs,08/09-R►Faili► Application_Programms - Rīga: RTU, 2008.

286,6 Mb (13 videoklipi ar kopējo prezentācijas laiku 260 min.)

2. Šitikovs V. Lietojumprogrammatūra. Lekcijas. RTU ORTUS:ORTUS►E-Studijas► DIP121(1),

V.Šitikovs,08/09-R► Faili► Lietojumprogrammatura_lekcijas_slaidi - Rīga: RTU, 2008. 401

slaids

3. Šitikovs V., Krauklis K.Lietojumprogrammatūra. Laboratorijas darbu uzdevumi un paraugi. RTU

ORTUS: ORTUS►E-Studijas► DIP121(1),V.Šitikovs,08/09-R► Faili►

Lietojumprogrammatura_laboratorijas_darbi - Rīga: RTU, 2008. 60 lpp.

4. Šitikovs V., Krauklis K.Lietojumprogrammatūra. Metodiskie materiāli laboratorijas darbu

izpildei. RTU ORTUS: ORTUS►E-Studijas► DIP121(1),V.Šitikovs,08/09-R► Faili►

Lietojumprogrammatura_multimedija - Rīga: RTU, 2008. 430,7 Mb (16 videoklipi ar kopējo

prezentācijas laiku 430 min.)

Course prerequisites Informatics II (secondary school courses) - basics of software applications, MS Office components

(MS Word, MS Excel, MS Access, MS PowerPoint) basics.

Courses acquired before

Course outline

Theme Hours

Working with large text documents 8

Input data validation in spreadsheets 4

Data auditing in spreadsheets 2

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Programming in MS Excel environment, macros, creation of user interface 2

HTML basics and work with HTML-editors 4

Graphical Editors 4

Software interaction, software integrity 4

Logic of presentation creation and sequence of information 4

Learning outcomes and assessment

Learning outcomes Assessment methods

Knowing and understanding the content of subject the learner is able to: For valuation "passed" it is necessary to

execute and defend during semester the six

practical tasks

- Quickly and securely make changes to a large hierarchical MS Word document that contains a lot of

intra-and inter-related objects

2 Tasks

- Use MS Excel spreadsheet as a programming tool 2 Tasks

- Create an editable graphical objects and add them to other documents 1 task

- Create documents with mutually binding sites 1 task

Study subject structure

Part Semester CP Hours per Week Tests

Autumn Spring Summer Lectures Practical Lab. Test Exam Work

1. * 2.0 1.0 0.0 1.0 *

RTU Course "Linear and Nonlinear Systems"

11103 Industriālās elektronikas un elektrotehnol.katedra

General data

Code EEI356

Course title Linear and Nonlinear Systems

Course status in the programme Compulsory/Courses of Limited Choice

Course level Undergraduate Studies

Course type Academic

Field of study Power and Electrical Engineering

Responsible instructor Bražis Viesturs

Academic staff Bražis Viesturs

Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits

Language of instruction LV, EN, RU

Possibility of distance learning Not planned

Abstract Linear and nonlinear control system analysis, stability detection and synthesis. Basic blocks

characteristics, stability estimation. Closed-loop system transient processes and quality parameters

improvement. Nonlinear control system stability detection and correction. Multi-axle motion

control system.

Goals and objectives of the course in terms of

competences and skills

To teach students in comprehension of linear and nonlinear control system design, application of

substitution schemes, to make basic calculations for evaluation of system static error, stability and

transient processes quality.

Structure and tasks of independent studies Students must calculate 13 tasks, independently providing its design and defending at test. Students

must made test in virtual environment www.vu.lv.

Recommended literature I. Raņķis, V.Bražis Regulēšanas teorijas pamati, Lekciju konspekts, Atkārtots izdevums, Rīgas

Tehniskā universitāte Rīga, 2007.

Uzdevumi regulēšanas teorijas pamatos, Rīga, 2004.

V.Kļimavičius. Automātiskā vadība. - Rīga: RTU, 2002.- 232 lpp.

Е.И. Юревич. Теория автоматического управления. – Санкт-Петербург, «БХВ- Петербург»,

2007.-560 с.

Е.И. Юревич. Основы робототехники. 2-е издание. – Санкт-Петербург, «БХВ- Петербург»,

2007.-416 с.

Richard C. Dorf, Robert H. Bishop. Modern Control Systems. – New Jersey: PearsonPrentice Hall,

2005. -881 p.

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Course prerequisites Mathematics, power engineering and electronics

Courses acquired before DMF101 Mathematics AND EEE209 Electrical Engineering and Electronics (Part 1)

Course outline

Theme Hours

Basic concepts of control system. 2

Concept of transfer function. 2

Frequency research methods. 2

Development and calculation of typical linear control system block circuit. 2

Automated control system basic blocks. 4

PID controller. 2

Lag element, oscillation block. 2

Control system stability criterions. 2

Investigation of control system by algorithm of Rauth, Mihailov method and Naiqvist criteria, examples. 2

Practical realisation of optimization. 2

Analysis of system operation quality parameters. 2

Nonlinear control system analysis. 2

Nonlinear control system stability. 2

Nonlinear control system quality and correction. 2

Multi-axle motion control system. 2

Learning outcomes and assessment

Learning outcomes Assessment methods

Able to describe basic elements of control system, their features and working principles. Passed test of tasks Nr.1.-6. Test in virtual

environment. Passed an exam.

Able to evaluate stability of automated control. Passed test of tasks Nr.7.-10. Test in virtual

environment. Passed an exam.

Able to calculate the PID controller. Passed test of tasks Nr. 11. Test in virtual

environment. Passed an exam.

Able to analyse the nonlinear control system operation. Passed test of tasks Nr.12. Passed an exam.

Able to analyse the multi-axle motion control system. Passed test of tasks Nr.13. Passed an exam.

Study subject structure

Part Semester CP Hours per Week Tests

Autumn Spring Summer Lectures Practical Lab. Test Exam Work

1. * * 2.0 2.0 0.0 0.0 *

RTU Course "Mathematics"

12021 Inženiermatemātikas katedra

General data

Code DIM701

Course title Mathematics

Course status in the programme Compulsory/Courses of Limited Choice

Course level Undergraduate Studies

Course type Academic

Field of study Mathematics and Statistics

Responsible instructor Iltiņa Marija

Academic staff Iltiņa Marija

Volume of the course: parts and credits points 2 parts, 9.0 Credit Points, 13.5 ECTS credits

Language of instruction LV, EN, RU

Possibility of distance learning Not planned

Abstract Linear algebra: matrices, determinants, systems of linear equations. Analytical geometry: vectors,

lines, surfaces. Introduction to analysis: limits, continuity. Differential calculus:

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derivative,differential and their applications.

Integral calculus: indefinite and definite integrals, their applications. Multiple integrals. Ordinary

differentialequations. The Laplace transform. Series.

Goals and objectives of the course in terms of

competences and skills

Deliver basic mathematical concepts that are necessary to understand data handling processes and

algorithms. Develop students’ logical thinking and skills to analyze basic aspects of special subjects

with the objective to analyze more complicated problems.

Structure and tasks of independent studies Eleven homework assignments are given during the course. The topics of these assignments are:

linear algebra, vector algebra, analytic geometry, limits, differentiation of a function of one

argument, analysis of functions, differentiation of a function of several variables, indefinite integral,

applications of a definite integral, differential equations, series. Homework assignments are

submitted before the deadline indicated by a professor. Student has an opportunity to re-submit the

work once after it has been corrected by the professor. The grades for homework assignments are

taken into account for the calculation of the final grade for the course.

Recommended literature 1. Inta Volodko. Augstākā matemātika. Īss teorijas izklāsts. Uzdevumu risinājumu paraugi. I daļa,

Rīga, Zvaigzne ABC, 2007, 294. lpp., 2. daļa, Rīga, Zvaigzne ABC, 2009, 396 lpp.

2. Andrejs Koliškins, Inta Volodko, Maksimilians Antimirovs. Matemātika I tehnisko augstskolu

studentiem. RTU, 2004, 337 lpp., Matemātika II tehnisko augstskolu studentiem. RTU, 2005, 244

lpp.

3. Kārlis Šteiners, Biruta Siliņa. Augstākā matemātika. Lekciju konspekts inženierzinātņu un

dabaszinātņu studentiem. 1. daļa, Zvaigzne, 1997, 96 lpp., 2.daļa, Zvaigzne ABC, 1998, 115 lpp.

4. Kārlis Šteiners. Augstākā matemātika. Lekciju konspekts inženierzinātņu un dabaszinātņu

studentiem. 3. daļa, Zvaigzne ABC, 1998, 192 lpp., 4. daļa, Zvaigzne ABC, 1999, 168 lpp., 6. daļa,

2001, 208 lpp.

5. Kronbergs E., Rivža P., Bože Dz. Augstākā matemātika. 1. un 2. daļa, Rīga, Zvaigzne, 1988, 534

lpp., 527 lpp., 2. daļa, Rīga, Zvaigzne, 1988, 527 lpp.

6. Biruta Siliņa, Kārlis Šteiners. Rokasgrāmata matemātikā. Zvaigzne ABC, 2006, 367 lpp.

7. Dz. Bože, L.Biezā, B.Siliņa, A.Strence. Uzdevumu krājums augstākajā matemātikā. Zvaigzne

ABC, 1996, 328 lpp.

8. Inta Volodko. Tipveida uzdevumu krājums matemātikā I. RTU, 2001, 2003, 2005, 206 lpp.

9. I. Volodko, A. Āboltiņš, L. Biezā. Tipveida uzdevumu krājums matemātikā II. RTU, 2002, 2005,

288 lpp.

Course prerequisites Course is based on knowledge that is acquired in secondary school.

Courses acquired before

Course outline

Theme Hours

Elements of linear algebra: Determinants. Matrices, operations on them. Solution of systems of linear equations. 14

Vector algebra: Scalars and vectors. Vector projection on an axis. Operations on vectors and their applications. 12

Analitical geometry: Equation of a line in a plane. Equation of a plane and a line in three-space. 14

Introduction to calculus: Elementary functions. Sequences and their limits. A limit of a function. Continuity. 14

One-variable differential calculus: Derivative of functions. Applications of derivatives in an analysis of functions. 24

Function of several variables: Definition and geometrical meaning. Partial derivative. Tangent plane and normal. 12

Complex numbers, operations on them. 4

Indefinite integral: Integrals of elementary functions. Methods of integration. 16

Definite integral: Definition and properties. Applications of definite integral. Improrer integrals. 14

Multiple integrals and their applications. 4

Ordinary differential equations: First order and second order differential equations, methods of their solution. 20

The Laplace transform. Solving linear constant coefficient differential equations using the Laplace transform. 6

Numerical and functional series. Applications of power series. 14

Review. 8

Learning outcomes and assessment

Learning outcomes Assessment methods

After successful completion of the course students will be able to solve systems of linear equations

and perform operations on matrices. Can perform operations on vectors.

Evaluation of students’ work is based on the

results of homework assignments, tests and the

final exam.

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Can find equation of a straight line in a plane and three-dimensional space; Find equation of a plane

in three-dimensional space; Recognize second-order curves and plot they in a plane.

Students’ knowledge and abilities are assessed

using homework assignments, tests and final

exam.

Can compute simple limits; find derivatives of functions; can analyze the behavior of a function

using limits and derivatives and plot the graph of a function.

Two tests, two homework assignments and

several problems on the final exam are used to

assess students’ knowledge on these topics.

Can find partial derivatives of a function of several variables; find equations of a tangent plane and

normal line to a surface; determine extrema of a function of two variables.

Students’ work is tested using homework

assignment and problem on the final exam.

Can perform operations on complex numbers in algebraic, trigonometric and exponential form. Corresponding problems are included in the

final exam.

Can integrate simple functions; find the area of a plane figure, length of a curve and volume of a

body of revolution using definite integral.

Three tests, two homework assignments and

problems on the final exam are used to test

students’ knowledge on the above mentioned

topics.

Can solve simple first and second order ordinary differential equations. Can solve ordinary

differential equations by means of the method of the Laplace transform.

Students’ knowledge is assessed using

homework assignment, test and problems on

the final exam.

Can determine whether a series is convergent or divergent; find the domain of convergence of

functional series; expand a function into power series; use series to compute a definite integral.

One test, one homework assignment and a

problem on the final exam are used to assess

students’ knowledge on these topics.

Can evaluate more complicated integrals, solve ordinary differential equations and other problems

using Mathematica 5.

Students’ knowledge is tested on the pass/fail

system. The test consists of six problems, three

points maximum for each problem. Students’

have to score at least 10 points in order to pass

the course.

Study subject structure

Part Semester CP Hours per Week Tests

Autumn Spring Summer Lectures Practical Lab. Test Exam Work

1. * 5.0 3.0 2.0 1.0 *

2. * 4.0 2.0 2.0 1.0 *

RTU Course "Supplementary Mathematics (for mechanical engineering)"

12021 Inženiermatemātikas katedra

General data

Code DIM208

Course title Supplementary Mathematics (for mechanical engineering)

Course status in the programme Compulsory/Courses of Limited Choice

Course level Undergraduate Studies

Course type Academic

Field of study Mathematics and Statistics

Responsible instructor Dzenīte Ilona

Academic staff Dzenīte Ilona

Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits

Language of instruction LV, EN, RU

Possibility of distance learning Not planned

Abstract Fourier series. Line and surface integrals. Elements of complex variable theory: Complex variables

and functions of complex variable. Cauchy’s theorem and Cauchy’s integral formula. Elements of

field theory: Scalar and vector field. Directional derivatives, gradient, vector field flux, work,

circulation, divergence, rotor, Ostrogradsky-Gauss and Stokes formula. Operator calculus: Laplace

transform, its properties and applications.

Goals and objectives of the course in terms of

competences and skills

Give basic mathematical concepts that are necessary to understand processes and algorithms in

professional subjects. Develop students’ logical thinking and skills to analyze basic aspects of

special subjects with the objective to analyze more complicated problems.

Structure and tasks of independent studies There are two mandatory individual home works by themes: Fourier series and Laplace transform,

and two class tests by themes: Elements of complex variable theory and Elements of field theory. In

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order to get the permission to have the exam, students must get a positive evaluation of their

individual home works and class tests.

Recommended literature 1. K.Šteiners. Augstākā matemātika. Lekciju konspekts inženierzinātņu un dabaszinātņu

studentiem. 5. daļa, Zvaigzne, 2000, 130 lpp., un 6. daļa, Zvaigzne, 2001, 208 lpp.

2. Inta Volodko. Augstākā matemātika. 2. dala, Rīga, Zvaigzne ABC, 2009, 396 lpp.

3. T. Kabiša, V. Gošteina. Matemātikas papildnodaļas. Metodiskais līdzeklis. Rīga, RTU

Inženiermatematikas katedra, 2009, 144 lpp.

4. Antimirovs M., Panfjorova A., Volodko I. Vairākkārtīgie integrāļi un lauku teorija. Rīga, RTU,

1998, 226 lpp.

5. Antimirovs M., Panfjorova A., Liepiņa V. Kompleksā mainīgā funkcijas un konformie

attēlojumi. Rīga, RTU, 1990, 81 lpp.

6. N. Orbidāne, Dz. Lūse, I. Volodko. Tipveida uzdevumi matemātikas papildnodaļās transporta un

mašīnzinību specialitātēm. Rīga, RTU, 2003, 50 lpp.

7. Kronbergs E., Rivža P., Bože Dz. Augstākā matemātika. 2.d., Rīga, Zvaigzne, 1988, 527 lpp.

8. T. Cīrulis, O. Dzenītis. Kompleksā mainīgā funkciju teorija piemēros. Zvaigzne, 1983.

9. I.Egle, B. Siliņa, A. Strence. Uzdevumu krājums augstākās matemātikas speciālajā kursā. 1976.

Course prerequisites One-variable and multivariable differential calculus. Indefinite and definite integral. Double and

triple integral. Numerical and functional series.

Courses acquired before DDM101 Mathematics

Course outline

Theme Hours

Fourier series 4

Line and surface integrals 5

Elements of complex variable theory 10

Elements of field theory 8

Laplace transform 5

Learning outcomes and assessment

Learning outcomes Assessment methods

Using knowledge of Fourier series students will be able to analyze periodic processes appearing in

engineering and physics, for instance, in signal theory.

Evaluation of students’ work is based on the

results of the final exam and homework

assignments.

Students can find line integrals and connected problems on vector field work and circulation, and

weight of material line.

Evaluation of students’ work is based on the

results of the final exam and class tests.

Students can find surface integrals and connected problems on vector field flux through different

shape surfaces, and weight of material surface.

Evaluation of students’ work is based on the

results of the final exam and class tests.

Can find basic characteristic values of scalar and vector field: Directional derivatives, gradient, vector

field flux, work, circulation, divergence, rotor, and check if vector field is potential.

Evaluation of students’ work is based on the

results of the final exam and class tests.

Knowledge of elements of complex variable theory can be used for problems appearing in theoretical

physics, hydromechanics, elasticity theory and radio engineering.

Evaluation of students’ work is based on the

results of the final exam and class tests.

Laplace transforms can be used for problems appearing in electric engineering and automatic control

theory, for instance, for solving differential equations and systems of differential equations.

Evaluation of students’ work is based on the

results of the final exam and homework

assignments.

Study subject structure

Part Semester CP Hours per Week Tests

Autumn Spring Summer Lectures Practical Lab. Test Exam Work

1. * 2.0 1.0 1.0 0.0 *

RTU Course "Sociology of Personalities and Small Groups"

01129 Sociālo zinātņu katedra

General data

Code HSP376

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Course title Sociology of Personalities and Small Groups

Course status in the programme Compulsory/Courses of Limited Choice

Course level Undergraduate Studies

Course type Academic

Field of study Social Science

Responsible instructor Ozolzīle Gunārs

Academic staff Ozolzīle Gunārs

Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits

Language of instruction LV, RU

Possibility of distance learning Not planned

Maximum auditorium capacity 100

Maximum number of students per semester 300

Abstract This subject gives the theoretical basis of microsociological-process, as well as helps to develop

skills in personal and small group interaction optimization. This subject studies personality in place

of the modern socium, the latest trends of mall groups, structure and dynamics.

Goals and objectives of the course in terms of

competences and skills

The object of this subject is to acquire the necessary key micro-process optimization. During the

time of this course students gain awareness of personal and small group functioning of the major

trends in contemporary society. Students learn most used empirical methods for applied micro-

process research.

Structure and tasks of independent studies Planned tasks: 1) literature studies, 2) situation analysis, 3) research program development of the

microsociological -phenomenon . 4) review of group work supervision.

Recommended literature 1.Cilvēks un dzīve socioloģijas skatījumā. Zin.red. Zepa B., Zobena A. – R.: LU, Socioloģijas

katedra, 1996.

2.Mazās grupas un personības socioloģija. Mācību metodiskais līdzeklis. Red. E.Mūrnieks. – R.:

RTU, 1995.

3.Laķis P. Socioloģija. Ievads socioloģijā. – R.: Zvaigzne ABC, 2002.

4.Briņķis G. Socioloģisko pētījumu organizēšana un metodika. Mācību līdzeklis LSPA studentiem.

– R.: LSPA, 2002.

5.Kroplijs A., Raščevska M. Kvalitatīvās pētniecības metodes sociālajās zinātnēs. – R.:

Izdevniecība RaKa, 2004.

6.Giddens A. Sociology. 4th edition. Cambridge: Polity, 2001.

Grām. tulk. krievu val.: Гидденс Э. Социология. – М., Едиториал УРССб 2005.

7.Macionis J. Sociology. 9th edition. – Upper Sadle River, New Jersey: Prentice Hall, 2003. Grām.

tulk. krievu val.: Масионис Дж. Социология. – СПб.: Питер, 2004.

Course prerequisites Not required

Courses acquired before

Course outline

Theme Hours

1.Small groups and personality sociology subject. 2

2.Sociological theories of personality, practical use options. 2

3.Sociological research methodology and techniques of personality. 4

4.Personality in present post-modern society. 2

5.Personality as an agent of social networking system. 2

6.The practical use of the social role theory . The role of personality and personal status. 2

7.Types of small groups, structure and dynamic characteristics. 4

8.Interactive processes in small groups. 2

9.Social effect of the small group - leadership and power in micro-analysis. 2

10.Small group interaction specificity . 4

11.Successful team forming prerequisites.. 2

12.Empirical research methods of small groups. Sociometry and referentometry . 4

Learning outcomes and assessment

Learning outcomes Assessment methods

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Student must understand the process of microsociological-regularities, can discern and interpret the

key trends of personality's socialization and integration.

Public case studies.

Understands the dynamics of small group, able to effectively participate in constructive decision-

making process.

Group discussion.

Student knows how to make individual and group interview program as well as manage the

interview.

Training Focus Group organization.

Understands the technique of the sociometrical and referentometrical methods. Sociometrical / referentometrical survey

program development.

Able to establish successful command parameters. Sociological diagnosis of small groups.

Final assessment of study results. Final test.

Study subject structure

Part Semester CP Hours per Week Tests

Autumn Spring Summer Lectures Practical Lab. Test Exam Work

1. * * 2.0 1.0 1.0 0.0 *

RTU Course "Economics and Planning of Small Business"

22108 Ražošanas un uzņēmējdarbības ekonomikas katedra

General data

Code IUE326

Course title Economics and Planning of Small Business

Course status in the programme Compulsory/Courses of Limited Choice

Course level Undergraduate Studies

Course type Academic

Field of study Economics

Responsible instructor Vasiļjeva Ludmila

Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits

Language of instruction LV, RU

Possibility of distance learning Not planned

Abstract Essence and functions of business. Advantages and preconditions for operation of a small business.

Calculation of production and material assets for a small business. Cost accounting. Pricing for

goods and services. Economic substantiation of a small business. Planning of the range of goods

and services. Elaboration of a business plan. How to start a small business.

Goals and objectives of the course in terms of

competences and skills

The aim of the course: to provide theoretical and practical knowledge of small business economics

and planning.

The course implementation tasks: understand the small business concept and its advantages;

introduce the legal aspects of small business operations; assess the current industrial, commercial

and financial activities of a small business; be able to justify the setup of a small business.

Structure and tasks of independent studies Organization and structure of independent studies.

Theme – The theme of independent work – The type of independent work:

1. The small business – the basic economic structure in the market – in the Republic of Latvia,

Small business – entity of different types of business; Case studies.

2. Company setup and functioning; Business setup conditions; Case studies.

3. Company's economic nature; Starting a small business and the key principles of its functioning:

Case studies.

4. Small business equity research; Comparison of the use of company's equity and working capital;

Tasks.

5. Company investment assessment parameters; Values discounting method, Tasks.

6. Planning a small business, busi

Recommended literature 1.Vasiļjeva L. Mazā uzņēmuma biznesa ekonomika un plānošana. Lekciju konspekts. - Rīga: RTU,

2005. -75 lpp.

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2.Vasiļjeva L. Mazā uzņēmuma izveidošanas pamati/Macību līdzekļis.- Rīga.:RTU

Izdevniecība,2006.-161 lpp.

3.Alsiņa R., Gertners G. Uzņēmējdarbības plānošanas principi un metodes.-Rīga: RTU, 2002.-141

lpp.

4.Ovčiņņikova I. Uzņēmējdarbības ekonomika. - Rīga: RTU, 2002. - 65 lpp.

5. Z.Sundukova, I.Jevinga. Uzņēmuma ekonomika: komersantu darbības pamati. Mācību līdzeklis.

- Rīga: RTU, 2002. - 33 lpp.

6.K.Didenko, N.Lāce. Investīciju lēmumu pieņemšana. - Rīga: RTU, 2001. - 126 lpp.

Course prerequisites Economics.

Courses acquired before IET102 Microeconomics AND IUE407 Marketing AND IUE217 Business Economics

Course outline

Theme Hours

Small business advantages, starting and operating principles. 4

Business nature and model. Forms of entrepreneurship in small business. 8

Economic foundation of small business startup. 4

Small business capital. 4

Company's investment efficiency calculation. 4

Small business revenues and taxes. Small business planning. 8

Learning outcomes and assessment

Learning outcomes Assessment methods

Able to understand the small business concept and its advantages. Case study within the framework of

independent work.

Able to select the legal base for functioning of a small business and its competitive edge. Acquisition of assessment methods for the

product competitiveness in practical examples.

Able to assess the company's current production, commercial and financial activities. Practical work – resolving 12-15 tasks.

Able to justify the setup of a small business. The final assessment – test.

Study subject structure

Part Semester CP Hours per Week Tests

Autumn Spring Summer Lectures Practical Lab. Test Exam Work

1. * * 2.0 2.0 0.0 0.0 *

RTU Course "Fundamentals of Artificial Intelligence"

12307 Sistēmu teorijas un projektēšanas katedra

General data

Code DSP332

Course title Fundamentals of Artificial Intelligence

Course status in the programme Compulsory/Courses of Limited Choice; Courses of Free Choice

Course level Undergraduate Studies

Course type Academic

Field of study Computer Science

Responsible instructor Grundspeņķis Jānis

Academic staff Grundspeņķis Jānis

Volume of the course: parts and credits points 1 part, 3.0 Credit Points, 4.5 ECTS credits

Language of instruction LV, EN, RU

Possibility of distance learning Not planned

Abstract Artificial intelligence is a sub-field of computer science that deals with the design and development

of such computer systems that possess characteristics (ability to understand, solve problems, infer,

learn, etc.) related with the intelligence in human behaviour. Last decades influence of artificial

intelligence on society is growing extremely quickly: speech recognition and natural language

processing technologies, strategic planning and diagnosis, process and systems control and

management, computer vision and authentication, information retrieval and data mining are only

some directions where progress is impossible without artificial intelligence. Such quickly growing

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role of artificial intelligence in the modern and future society determines the necessity for

academically educated specialists, which have mastered fundamentals of artificial intelligence,

know its perspectives and have experience in solving problems of artificial intelligence. This course

considers questions related to the two fundamental research objects of artificial intelligence:

solution search and knowledge representation. The main attention is paid to the construction of a

state space of a problem and searching of a solution using uninformed and heuristically informed

search algorithms, representation of knowledge about a problem using semantics networks,

conceptual graphs, scripts, production rules and frames, implementation of two-person games using

the Minimax and Alfa-beta algorithms, as well as use of the propositional and predicate calculus for

representation and solving of real world problems.

Goals and objectives of the course in terms of

competences and skills

The goal of the course is to provide basic knowledge on fundamental objects of artificial

intelligence (search and knowledge representation) and skills of solving complex problems, using

such methods of artificial intelligence as construction of a state space, uninformed search

algorithms, heuristically informed search algorithms, knowledge representation schemes,

propositional and predicate calculus.

Structure and tasks of independent studies Students must work out a course work by using an individual version provided by the teacher at the

beginning of the course. The course work includes 10 tasks covering such topics as construction of

a state space and evaluation of its complexity, implementation of uninformed and heuristically

informed search algorithms, implementation of a two-person game and knowledge representation.

The course work must be worked out using a special template provided by the teacher and must be

submitted two weeks before the examination session.

Recommended literature •Jones T.M. Artificial Intelligence: A Systems Approach. Infinity Science Press LLC, 2008, 498 p.

•Luger G.F. Artificial Intelligence: Structures and Strategies for Complex Problem Solving, 5th

edition. Addison-Wesley, 2005, 928 p.

•Люгер Д.Ф. Искусственный интеллект: стратегии и методы решения сложных проблем, 4-е

издание.: Пер. с англ. Издательский дом «Вильямс», 2005, 864 с.

•Winston P.H. Artificial Intelligence. Addison-Wesley Publ.Company, 1992, 737 p.

•Grundspeņķis J. Ievads intelektuālās sistēmās. Rīgas Tehniskā universitāte, 1993, 158 lpp.

•Negnevitsky M. Artificial Intelligence: a Guide to Intelligent Systems. Addison Wesley, 2005, 415

p.

•Coppin B. Artificial Intelligence Illuminated, Jones and Bartlett Publishers, 2004, 739 p.

•Джексон П., Бивин Д. Введение в экспертные системы. Издательский дом «Вильямс», 2001,

624 c.

•Grundspeņķis J., Novickis L., Osis J., Šitikovs V. Intelektuālu sistēmu projektēšana. Rīgas

Tehniskā universitāte, 1997, 63 lpp.

•Borisovs A. Mākslīgā intelekta metodes. Rīgas Tehniskā universitāte, Rīga, 1993, 75 lpp.

Course prerequisites Students must know characteristics and processing capabilities of different data structures such as

lists, stacks and queues, implementation methods of recursive algorithms, sets and set operations,

relations, their types and characteristics, basic concepts of graph theory and special graph types -

trees and networks

Courses acquired before DIP203 Data Structures AND DIM204 Discrete Mathematics AND DSP202 Discrete Structures of

Computer Science

Course outline

Theme Hours

Definitions of research, directions and prehistory (roots) of artificial intelligence 2

Research history, goals, approaches, tasks, objects and perspectives of artificial intelligence 4

Definition of a state space. Interpretation and examples of state space elements 2

Data- and goal-driven state space search 2

State space search algorithms, implementation of recursive search 4

Heuristically informed search 2

Heuristically informed search algorithms 2

Evaluation of effectiveness of heuristics 2

Using heuristics in two-persons games 4

Knowledge representation 2

Associative and semantic networks 2

Conceptual graphs 2

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Frames 2

Scripts 2

Production systems 2

Propositional calculus 2

Syntax of predicate calculus 2

Semantics of predicate calculus 2

Inference 2

Implementation of inference 4

Learning outcomes and assessment

Learning outcomes Assessment methods

Students will know definitions, research history, goals, approaches, tasks, objects and perspectives of

artificial intelligence

Questions of the theoretical part of the

examination.

Students will be able to create a state space for real world problems and to evaluate its complexity The first and the second task of the course

work, questions of the theoretical part of the

examination.

Students will be able to implement uninformed search algorithms The third task of the course work, the first task

of the practical part of the examination .

Students will be able to define the heuristic evaluation function and to evaluate its effectiveness, as

well as to implement heuristically informed search algorithms

The fourth, fifth and sixth task of the course

work, questions of the theoretical part of the

examination, the second task of the practical

part of the examination.

Students will be able to represent two-persons games with full information as a game tree and to

apply the Minimax and the Alfa-Beta algorithms

The seventh task of the course work, questions

of the theoretical part of the examination, the

third task of the practical part of the exam.

Students will be able to implement such knowledge representation schemes as semantic networks,

conceptual graphs, scripts, production systems and frames

The eighth, ninth and tenth task of the course

work, questions of the theoretical part of the

examination, the fifth task of the practical part

of the examination.

Students will be able to describe a problem domain using the propositional and the predicate calculus,

as well as to implement inference by applying inference rules

Questions of the theoretical part of the

examination, the fourth task of the practical

part of the examination.

Study subject structure

Part Semester CP Hours per Week Tests Tests (free choice)

Autumn Spring Summer Lectures Practical Lab. Test Exam Work Test Exam Work

1. * 3.0 3.0 0.0 0.0 * *

RTU Course "Microprocessor Technique"

12216 Datoru tīklu un sistēmu teholoģijas katedra

General data

Code DST306

Course title Microprocessor Technique

Course status in the programme Compulsory/Courses of Limited Choice

Course level Undergraduate Studies

Course type Academic

Field of study Computer Science

Responsible instructor Zagurskis Valerijs

Academic staff Zagurskis Valerijs

Volume of the course: parts and credits points 1 part, 3.0 Credit Points, 4.5 ECTS credits

Language of instruction LV

Possibility of distance learning Not planned

Abstract Classic assembly level micro machine organization; microprocessor, the architecture and functions;

set of peripherals; programmable input-output interface; organization of interrupts; direct memory

access; BUS organization and BUS cycle; single-chip microcomputers.

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Goals and objectives of the course in terms of

competences and skills

Structure and tasks of independent studies

Recommended literature 1.Morgan Kaufmann. Computer Architecture. 3rd edition, 2002. – 1141 lpp.

2.Willam Stallings. Computer organization & Architecture. Sixth edition, Prentice-Hall, Inc., 2003.

– 826 lpp.

3.Linda Null, Julia Lobur. The Essentials of Computer Organization and Architecture, Jones and

Bartlett Publishers, Inc., 2003. – 673lpp.

4. ČIPA A. Elektroniskie skaitļotāji. Rīga, Zvaigzne, 1983. 234 lpp.

5. Laboratorijas darbi KP580 sērijas mikroprocesoru komplekta pētīšanai. Rīga, Rīgas

Politehniskais institūts, 1986, 118 lpp.

6. A. Čipa. Otrās paaudzes mikroprocesoru komplekts un vispārējās nozīmes skaitļotāja veidošana.

Rīga, Rīgas tehniskā universitāte, 1992., 78 lpp.

7. A. Čipa. Mikroprocesori. http://www/cs/rtu/lv/ ASTF/ publikācijas.

8. A. Čipa. Datori automātikā. http://www/cs/rtu/lv/ ASTF/ publikācijas.

Course prerequisites

Courses acquired before

Study subject structure

Part Semester CP Hours per Week Tests

Autumn Spring Summer Lectures Practical Lab. Test Exam Work

1. * 3.0 2.0 0.0 1.0 *

RTU Course "Object-Oriented Programming"

12306 Lietišķo datorzinātņu katedra

General data

Code DPI230

Course title Object-Oriented Programming

Course status in the programme Compulsory/Courses of Limited Choice

Course level Undergraduate Studies

Course type Academic

Field of study Computer Science

Responsible instructor Sukovskis Uldis

Academic staff Sukovskis Uldis

Volume of the course: parts and credits points 1 part, 3.0 Credit Points, 4.5 ECTS credits

Language of instruction LV, EN

Possibility of distance learning Not planned

Abstract This course covers object-oriented (OO) programming concepts and techniques using C++

language as an example. After completing the course students will understand the basic principles

of OO programming and obtain OO programming skills. OO basic concepts - abstraction,

encapsulation, inheritance and polymorphism are discussed as well as practical programming

issues, including class hierarchy formation, an exception handling, templates, etc. Comparison of

C++ with some other OO programming languages (eg C # or Java) is also given. During laboratory

work students must demonstrate theoretical knowledge and acquire programming skills.

Goals and objectives of the course in terms of

competences and skills

To understand and be able to explain the principles of object-oriented programming and

technology, being able to apply these principles for the software development process using object-

oriented programming language and visual programming environments.

Structure and tasks of independent studies To use literature sources, to prepare and execute individual tasks in computer lab

Recommended literature Bjarne Stroustrup. The C++ Programming Language: Special Edition. – Addison-Wesley

Professional, 2000. ISBN-13: 978-0201700732, 1030 lpp.

Booch, G., etc.: Object-Oriented Analysis and Design with Applications. 3rd Ed. Addison-Wesley,

2007.

Ira Pohl. Object-Oriented Programming Using C++ (2nd Edition). – Addison-Wesley Professional,

1996. ISBN-13: 978-0201895506, 576 lpp.

Sutter, H., Alexandrescu, A.: C++ coding standards: 101 rules, guidelines, and best practices.

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Addison-Wesley, 2007.

Eckel, B.: Thinking in C++. 2nd Ed. Prentice Hall, 2000. Internets:

http://www.mindview.net/Books/TICPP/ThinkingInCPP2e.html

Soulie, J.: C++ Language Tutorial. 2009. Internets: http://www.cplusplus.com/doc/tutorial/

Course prerequisites Knowledge in structural programming (preferably C).

Courses acquired before

Course outline

Theme Hours

Software life cycle. Object-oriented method for analysis and programming. C + + program development. 2

Basic concepts of object-oriented programming - object, message, class, instance, method, and features - abstraction, en 2

Abstraction. Classes and class members. 2

Constructors and destructors. Visibility scope. 2

Hierarchy. Derived classes. Multiple inheritance. 2

Virtual functions. Pure virtual functions and abstract classes. 2

Static class members. Class friends. 2

Polymorphism. Operation overloading. 2

Templates. 2

Exception handling. 2

Programming techniques using C++. 10

Introduction to other OOP language with comparison to C++. 2

Laboratory work. 16

Learning outcomes and assessment

Learning outcomes Assessment methods

Is able to explain the OO concepts and demonstrate their implementation in C++. Passed tests and examination.

Is able to independently implement the program in C++ using object oriented programming

technology, to explain the program and statements used.

Successfully completed and defended

laboratory works.

Is able to analyze the C++ programs for the structure and operation. Passed tests and examination.

Is able to explain features of object-oriented and structural programming. Passed tests and examination.

Study subject structure

Part Semester CP Hours per Week Tests

Autumn Spring Summer Lectures Practical Lab. Test Exam Work

1. * 3.0 2.0 0.0 1.0 *

RTU Course "Intensive Latvian Course"

01A02 Tehniskās tulkošanas katedra

General data

Code VIL162

Course title Intensive Latvian Course

Course status in the programme Compulsory/Courses of Limited Choice

Course level Undergraduate Studies

Course type Academic

Field of study Languages

Responsible instructor Lauziniece Valentīna

Academic staff Lauziniece Valentīna

Volume of the course: parts and credits points 2 parts, 3.0 Credit Points, 4.5 ECTS credits

Language of instruction LV

Possibility of distance learning Not planned

Abstract Intensive course in the Latvian language is aimed at the students with lower intermediate to

beginner knowledge of the language in order to advance their skills in spoken communication,

reading, listening and writing. Students should be able to use the acquired knowledge fluently and

purposefully in the study process.

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Goals and objectives of the course in terms of

competences and skills

Structure and tasks of independent studies

Recommended literature 1. Palīgā! Mācību grāmata pieaugušajiem, 1. - 3. līmenis. – Rīga: Zvaigzne ABC,

1998.,1999.,2002.

2. Dombrovska B. Testi latviešu valodā vidusskolēniem, reflektantiem un cittautiešiem. – Rīga:

Pētergailis, 2000.

3. Ceplīte B., Ceplītis L. Latviešu valodas praktiskā gramatika. – Rīga: Zvaigzne ABC, 1997.

4. Guļevska D., Miķelsone A., Porīte I. Pareizrakstības un pareizrunas rokasgrāmata. Latviešu

valoda. – Rīga: Avots, 2002.

5. Latviešu valodas uzdevumu krājums. – Rīga: RTU, 2005.

6. Лиепниеце Л. Латышский язык для всех. – Rīga: Zvaigzne ABC, 2005.

7. Remgere Dz. Vingrinājumi latviešu valodā mazāktautību skolām 10. – 11.klasei. – Rīga:

Pētergailis, 2003.

8. Romane A. Latviešu valodas rokasgrāmata. Tabulas, shēmas. – Rīga: Zvaigzne ABC, 2000.

9. Rubīna A. Latviešu valodas rokasgrāmata. – Rīga: Zvaigzne ABC, 2006.

10. Sarunvalodas vārdnīca "Survival Latvian" - Rīga.: Jumava, 1993.

11. http://lv.wikipedia.org/wiki/Latvie%C5%A1u_valodas_gramatika

Course prerequisites

Courses acquired before

Study subject structure

Part Semester CP Hours per Week Tests

Autumn Spring Summer Lectures Practical Lab. Test Exam Work

1. * * 2.0 0.0 3.0 0.0 *

2. * * 1.0 0.0 3.0 0.0 *

RTU Course "Control Technique with Microprocessor Controllers"

11103 Industriālās elektronikas un elektrotehnol.katedra

General data

Code EEP582

Course title Control Technique with Microprocessor Controllers

Course status in the programme Compulsory/Courses of Limited Choice

Course level Post-graduate Studies

Course type Professional

Field of study Power and Electrical Engineering

Responsible instructor Ribickis Leonīds

Academic staff Ribickis Leonīds

Volume of the course: parts and credits points 1 part, 3.0 Credit Points, 4.5 ECTS credits

Language of instruction LV, EN, RU

Possibility of distance learning Not planned

Abstract Process control systems with one and two tanks of capacities. Control loops. Industrial

measurement equipment for flow, pressure, level and temperature. Controlled valves,

programmable controllers, functions, P, PI, PID control loops, optimal setting techniques.

Goals and objectives of the course in terms of

competences and skills

To teach students to realize the automation actuated with Fanuc controllers. Tasks - to teach the

process of normalizing tehnological signals for controller management systems, to teach a process

control algorithm and its entering into the computer system, a controller attachments for the

technological process.

Structure and tasks of independent studies Students need to prepare for each laboratory work, made pre-preparation of the algorithms and their

possible computer realization with its checking before the lesson by teacher.

Recommended literature 1. Gardener J. W., Varadan V. K., Awadelkarim O. O. Microsensors, MEMS and Smart Devices.

Wiley, 2001.

2. Maluf N. An Introduction to Microelectromechanical Systems Engineering. Artech House, 1999.

3. J. A.Rehg, G.J.Sartori Industrial Electronics, Prentice Hall, NY, 2006, 862 p.

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Course prerequisites Industrial electronics, industrial process automation.

Courses acquired before EEP475 Electronic Equipment AND EEP473 Basics of Production Systems Automation

Course outline

Theme Hours

Technological processes, automation, automation tasks. 2

Technological process parameters, the analogue and digital processing. 2

Microprocessor controller design principles. 2

Microprocessor architecture of the Fanuc controller. 2

Data input and output from the controller Fanuc. 2

Fanuc controller programming. 4

Fanuc controller programming examples. 2

Lab.w. No. 1. Introduction to Fanuc programming language. 4

Lab.w. No. 2. Algoritmization of technological process No.1. 4

Lab.w. No.3. Input of the algorithm of technological process No. 1 on the computer. 4

Lab.w. No.4. Control system test of technological process No. 1. 4

Lab.w. No.5. Elaboration and test of Control system of technological process No. 2. 4

Lab.w. No.6. Elaboration and test of Control system of technological process No. 3. 4

Lab.w. No.7. Elaboration and test of Control system of technological process No. 4. 4

Tests lesson. 4

Learning outcomes and assessment

Learning outcomes Assessment methods

Being able to create a processing of digital control algorithm and its computer presentation at given

specific controller.

The defense of management of program

entered into the computer and controller.

Being able to create a controller Fanuc management of the process automation system. Defended laboratory works No.4, 5,6,7.

Succesfully passed the exam.

Study subject structure

Part Semester CP Hours per Week Tests

Autumn Spring Summer Lectures Practical Lab. Test Exam Work

1. * 3.0 1.0 0.0 2.0 *

RTU Course "Algorithmization and Programming of Solutions"

12314 Informātikas un programmēšanas katedra

General data

Code DIP106

Course title Algorithmization and Programming of Solutions

Course status in the programme Compulsory/Courses of Limited Choice

Course level Undergraduate Studies

Course type Academic

Field of study Computer Science

Responsible instructor Lavendels Jurijs

Academic staff Lavendels Jurijs

Volume of the course: parts and credits points 2 parts, 5.0 Credit Points, 7.5 ECTS credits

Language of instruction LV, RU

Possibility of distance learning Not planned

Maximum auditorium capacity 1

Maximum number of students per semester 250

Abstract Students receive academic knowledge in computer applications, as well as pragmatic skills in

development of algorithms, software development and debugging. The acquired knowledge and

skills provide further successful mastering of computer science courses.

Goals and objectives of the course in terms of

competences and skills

The aim of the course is to provide algorithmzation skills, practical software development and

debugging skills.

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Preparation of laboratory works, computerized solving of different tasks.

Preparing students for further individual work using computers, preparing students for further use

of computer applications in learning process, as well as for further individual learning new

knowledge and skills in computer applications.

The results are achieved providing:

- academic knowledge on algorithms, their properties and their development, formal

syntax, semantics, data types, structures, as well as data processing operations;

- practical knowledge in high-level programming languages, their

Structure and tasks of independent studies Individual work consists of:

- learning of methodological materials and literature;

- practical development of algorithms;

- designing, documenting, coding, and testing of software.

Recommended literature 1. IP katedras datorizētie mācību līdzekļi.

2. Spalis. Turbo Pascal for Windows ikvienam. Rīga, Datorzinību centrs, 1998, 170 lpp.

3. Balode A. Programmēšanas pamati. Valoda Turbo Pascal, Rīga, Zvaigzne, 2006, 232

lpp.

Course prerequisites Preferable knowledge of secondary school’s informatics, although practically we must work with

students as they are

Courses acquired before DIP104 Introduction to Computers and Algorithms

Course outline

Theme Hours

Algorithms in daily life and their implementation in computers, development of algorithms, computer program as a way of 8

Main data types and structures, data processing operations in high-level programming languages. 10

Syntax and semantics of programming languages. Programming language PASCAL as one of the many programming languages. 10

Development of a first program, testing, debugging. The basics of user’s interface. 20

Subprograms and their structure. 6

Subprogram libraries (pascal UNITS) 6

Data sets on external mediums (files), logical disk and physical files, serial and direct access. 8

Practically applicable software development. 12

Learning outcomes and assessment

Learning outcomes Assessment methods

Skills in development of algorithms (including) in the level of flowcharts, skills in software

development, skills in debugging.

Skills in working in integrated programming

environment.

Development of a first program. Exam mark takes into account:

- shown knowledge in the written

exam on algorithm analysis, finding of

semantic errors, development of small

fragments of programs;

- the quality of laboratory works d

Part 2 .

File handling by means of high level language facilities. Exam mark takes into account:

- shown knowledge in the written

exam on algorithm analysis, finding of

semantic errors, usage of program libraries

(units);

- the quality of laboratory works done

thro

Exam Exam mark takes into account:

- shown knowledge in the written

exam on algorithm analysis, finding of

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semantic errors, usage of program libraries

(units);

. - the quality of laboratory works done

throughout the semester and the regularity of

the work during the semester (regarding the

deadlines)

Study subject structure

Part Semester CP Hours per Week Tests

Autumn Spring Summer Lectures Practical Lab. Test Exam Work

1. * 3.0 2.0 0.0 1.0 *

2. * 2.0 1.0 0.0 1.0 *

RTU Course "Robot systems modeling basics"

12307 Sistēmu teorijas un projektēšanas katedra

General data

Code DSP716

Course title Robot systems modeling basics

Course status in the programme Compulsory/Courses of Limited Choice

Course level Undergraduate Studies

Course type Academic

Field of study Computer Science

Responsible instructor Ņikitenko Agris

Academic staff Ņikitenko Agris

Volume of the course: parts and credits points 1 part, 3.0 Credit Points, 4.5 ECTS credits

Language of instruction LV

Possibility of distance learning Not planned

Abstract Robotic systems are modeled with different tools and using different development environments.

The user can use graphical environment of mentioned tools, but to understand what happens in the

background, he needs to know the mathematics. This course is designed to teach robot modeling

basics and the dominant topic is rigid body kinematics (movement and rotations). The course also

will look at several linked element kinematics, where one element affects another element speed

and movement direction.

The course practical part is organized as classroom courses where students will develop computer

programs to solve problems covered in theoretical lectures.

Goals and objectives of the course in terms of

competences and skills

The aim is to provide a basic knowledge of rigid bodies homogeneous kinematics transformations.

Objectives:

1) Be able to create a physics engine and being able to implement mathematical transformations of

rigid bodies kinematics.

2) Be able to use XNA Game Studio to visually represent kinematics transformations.

3) Be able to use quaternion algebra to describe rotations.

4) Be able to work with multiple linked element kinematic system.

Structure and tasks of independent studies Practical work is organized in lectures, which are hald of total course lectures. In practical lectures

students will write computer programs to solve mathematical problems explained in theoretical

lectures. Part of practical work is task to write course paper.The course paper content is extension

of content covered in course practical lectures.

Recommended literature 1. Jack B. Kuipers. Quaternions and rotation sequences. – Princeton University Press. 2002,

- 371 p.

2. Mark W. Spong, Seth Hutchinson, M. Vidyasagar. Robot Modeling and control. – John

Wiley & Sons. 2006, - 478 p.

3. Geoffrey M. Dixon. Division Algebras: Octanions, Quaternions, Complex Numbers and

the Algebraic Design of Physics. – Kluwer Academic Publishers. 2002, - 236 p.

4. Ian Millington. Game Physics Engine Development. - Elsevier Science & Technology

Books. 2007, - 480 p.

5. Д Конгер. Физика для разработчиков компьютерных игр. – Бином. 2007, – 530 с.

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Course prerequisites Mathematics (vectors and matrices), Physics (kinematics) and programming basics.

Courses acquired before

Course outline

Theme Hours

Introduction 1

The application of mathematics 4

Kinematics, homogenous transformations 2

Introduction in game physics engine development 2

2D rendering 2

3D transformations 2

3D rendering 2

Advanced technique of defining rotations 4

Mesh objects 2

Xna Game Studio basics 2

Introduction to robot mechanics modeling 1

Kinematics for several linked elements 6

Acceleration and angular velocity 4

Path and trajectory planning 4

Physical fore modeling 4

Connecting previously covered topics 6

Learning outcomes and assessment

Learning outcomes Assessment methods

Be able to solve the homogeneous kinematic transforms in 2D space and be able to use these

transformations in 2D computer graphics.

Practical works 2., 3., 4.

Exam questions on appropriate topics.

Be able to solve the homogeneous kinematic transforms in 3D space and be able to use these

transformations in 3D computer graphics.

Practical works 5. un 6.Exam questions on

appropriate topics.

Be able to use algebra quaternion algebra to describe rotations. Practical works 7. un 8.Exam questions on

appropriate topics.

Know the physics engine development principles and be able to use XNA Game Studio for mesh

object visualization and to perform homogeneous kinematic transformations in 3D space.

Practical works 1., 9., 10.Exam questions on

appropriate topics.

Need to know kinematics for several linked elements. Practical works 11., 12., 13.Exam questions on

appropriate topics.

Able to simulate the acceleration and angular velocity of rigid bodies. Practical works 14. un 15.Exam questions on

appropriate topics.

Able to plan the path and trajectory of moving rigid bodies. Practical works 16. un 17.Exam questions on

appropriate topics.

Know the force modeling methods. Practical works 18. un 19.Exam questions on

appropriate topics.

Study subject structure

Part Semester CP Hours per Week Tests

Autumn Spring Summer Lectures Practical Lab. Test Exam Work

1. * 3.0 1.5 1.5 0.0 *

RTU Course "Electric Drive of Robots"

11103 Industriālās elektronikas un elektrotehnol.katedra

General data

Code EEP352

Course title Electric Drive of Robots

Course status in the programme Compulsory/Courses of Limited Choice

Course level Undergraduate Studies

Course type Academic

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Field of study Power and Electrical Engineering

Responsible instructor Ribickis Leonīds

Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits

Language of instruction LV, EN, RU

Possibility of distance learning Not planned

Maximum auditorium capacity 100

Maximum number of students per semester 200

Abstract The notion of electric drive of robots, history, classification. Types of motors of the robots electric

drives and their mechanical and electromechanical characteristics. Influence of parameters. Control

of speed in the electric drive of robots. Transient processes of the drives of robots, power indices,

their calculation, selection of motors. Types of automatic control of the robots electric drive.

Goals and objectives of the course in terms of

competences and skills

The aim of the course of to master mechanics of the robots electric drive systems, influence of

parameters on the drives’ characteristics, methods of speed control, methods of transient processes

calculation, calculation of power indices of the drives and selection of motors for different

operational regimes of the electric drives.

The students are expected to be able to describe and analyze the systems of robots electric drives, to

select the scheme of speed control of robot electric drive and calculate its elements, to calculate the

influence of the transient processes on the operation of the electric drive of robots.

Structure and tasks of independent studies Self-dependent work for mastering of the lectures material. Preparation for tests.

Before each practical work the students are expected to complete report on the theoretical basics

Recommended literature 1. L. Ribickis, J. Valeinis. Elektriskā piedziņa mehatronikas sistēmās. RTU izdevniecība, 2008. 286

lpp.

2. I. Boldea, S. A. Nasar. Electric Drives. CRC Press, 1999. 411 lpp.

3. N. Mohan. Electric Drives an Integrative Approach. MNPERE Minneapolis, 2001. 424 lpp.

4. Н. Ф. Ильинский. Основы электропривода. МЭИ, 2007. 221 с.

Course prerequisites Basics of electric drives, electrical machines, theoretical basics of electrical engineering,

mechanics, kinematics, power electronics.

Courses acquired before EEM212 Electrical Machines AND EEL301 Power Electronics AND BBM301 Fundamentals of

Mechanics

Course outline

Theme Hours

Introduction and history of robots electric drive development. 1

Mechanics of drives of robots. 1

Electric drive in robot systems, its characteristics. 1

Speed control of DC drives of robots. 2

Speed control of AC drives in robot systems. 2

Linear drives in robot systems. 1

Dynamics of robot DC drives. 2

Dynamics of robot AC drives. 2

Dynamics of robot special drives. 2

Methods of robots electric drives control. 2

1.Pract.w. Determination of torque of inertia of electric drive. 2

2.Pract.w. Static and dynamic characteristics of DC drive. 2

3.Pract.w. Static and dynamic characteristics of asynchronous drive. 2

4.Pract.w. Static and dynamic characteristics of synchronous drive. 4

5.Pract.w. Static and dynamic characteristics of linear drive. 2

6.Pract.w. Investigation and calculation of parameters of industrial robot operation. 4

Learning outcomes and assessment

Learning outcomes Assessment methods

The students are able to describe types of electric drives in robot systems, influence of parameters on

its mechanic and electro-mechanic characteristics

Test, examining students' ability to to describe

types of electric drives in robot systems,

influence of parameters on its mechanic and

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electro-mechanic characteristics in robotic

systems.

The students are able to calculate mechanic and electro-mechanic characteristics of DC and AC

drives of robots.

Test, examining students' ability to to calculate

mechanic and electro-mechanic characteristics

of DC and AC drives of robots.

The students are able to describe methods of speed control in AC and DC robot driving systems. Test, examining students' ability to describe

methods of speed control in AC and DC robot

driving systems as well as to take their

regulation characteristics.

The students are able to calculate transient processes for the systems of DC and AC robot drives. Test, examining students' ability to calculate

transient processes for the systems of DC and

AC robot drives as well as to take

characteristics of speed and current changing

in time.

The students are able to calculate power losses for DC and AC robot drives. Test, examining students' ability to calculate

power losses for DC and AC robot drives.

The students are able to select electric motors for different regimes of drives operation in robotic

systems.

Test, examining students' ability to select

electric motors for different regimes of drives

operation in robotic systems.

Study subject structure

Part Semester CP Hours per Week Tests

Autumn Spring Summer Lectures Practical Lab. Test Exam Work

1. * * 2.0 1.0 1.0 0.0 *

RTU Course "Robot control system development project"

12307 Sistēmu teorijas un projektēšanas katedra

General data

Code DSP712

Course title Robot control system development project

Course status in the programme Compulsory/Courses of Limited Choice

Course level Undergraduate Studies

Course type Academic

Field of study Computer Science

Responsible instructor Ņikitenko Agris

Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits

Language of instruction LV

Possibility of distance learning Not planned

Abstract The project goal is development of robot control system for a particular robotic system. The project

is organized a work in groups

Goals and objectives of the course in terms of

competences and skills

The course goal is to advance student's abilities to work in group, to plan own activities, accomplish

assignments as wall as to defend and present the results

Structure and tasks of independent studies The course is organized as practical work/ project in groups, where job assignments are planned and

assigned within the group. The task accomplishments are controlled within the group as well. The

assigned task is being accomplished individually by group members.

Recommended literature 1) R.Siegwart, R. Naurbaghsh Introduction to autonomous mobile robots, MIT Press, 2004.

2) S.Russell, P.Norvig Artificial intelligence - a modern approach 2nd edition, Pearson Education

Inc., 2003.

3) iRobot Roomba tehniskā dokumentācija.

Course prerequisites Solution algorithmization and programming parts I and II, Electrotehnics and electronics

Courses acquired before

Course outline

Theme Hours

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Student group selection 2

Project task selection, analysis and detailed elaboration 4

Individual assignments 2

Project schedule development, implementation and control 16

Development of technical documentation 6

Presentation of project results 2

Learning outcomes and assessment

Learning outcomes Assessment methods

Is able to join the group for common goal in robotic system design projects Individual assessment based on contribution

for the group project

Is able to plan own activities in accordance with the outcomes of other group activities Individual assessment based on contribution

for the group project

Is able to elaborate technical documentation typical for robotic system design projects Individual assessment based on contribution

for the group project

Is able to present robotic system design project results Individual assessment based on contribution

for the group project

Study subject structure

Part Semester CP Hours per Week Tests

Autumn Spring Summer Lectures Practical Lab. Test Exam Work

1. * 2.0 0.0 2.0 0.0 *

RTU Course "Industrial Electronic Equipment"

11103 Industriālās elektronikas un elektrotehnol.katedra

General data

Code EEP579

Course title Industrial Electronic Equipment

Course status in the programme Compulsory/Courses of Limited Choice; Courses of Free Choice

Course level Undergraduate Studies

Course type Professional

Field of study Power and Electrical Engineering

Responsible instructor Ribickis Leonīds

Academic staff Ribickis Leonīds

Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits

Language of instruction LV, EN

Possibility of distance learning Not planned

Abstract Classification of manufacturing systems, technology pyramid and tree. Discrete control input and

output devices – control switches, relays, actuators and indicators. Solid-state devices in industrial

applications – transistor and thyristor switches, solid state relays, AC and DC voltage regulators.

Discrete industrial sensors – inductive and capacitive proximity sensors, photoelectric sensors, their

operational principles and typical implementation. Output interfaces of discrete sensors. Analog

industrial sensors and transducers – temperature, pressure, flow, level, position and speed sensors,

their operational principles and typical implementation. Analog signal conditioning with

operational amplifiers. Electromagnetic noise and relevant noise suppression methods. Logic gates,

synthesis and minimization of logic functions. Industrial power supply topologies. Programmable

logic controller systems, their structure and typical components. Ladder diagrams. Classification

and structure of industrial communication networks.

Goals and objectives of the course in terms of

competences and skills

Provide knowledge in fundamentals of industrial electronics. Develop the ability to recognize and

design basic electronic equipment applicable in industrial environment.

Structure and tasks of independent studies Students independently have to describe and design a simple process control system.

Recommended literature J.Greivulis, I.Raņķis. Iekārtu vadības elektroniskie elementi un mezgli. Rīga: Avots, 1997, 288 lpp;

I. Raņķis, A. Žiravecka, Industriālās elektronikas pamati. Rīga: Avots, 2007, 212 lpp;

A.R. James, G.J. Sartori, Industrial Electronics. Pearson Education Inc., Prentice Hall, 2006. 862.p;

Прянишников В.А. Электроника. Полный курс лекций. Корона-Принт, 2004. – 416c.

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Волович Г. И. Схемотехника аналоговых и аналого-цифровых электронных устройств / Г.И.

Волович. - Москва : Додэка-XXI, 2005. - 528с.

Course prerequisites Basic knowledge of fundamentals of electrical engineering theory and in solid-state devices.

Courses acquired before EEE223 Fundamentals of Electrical Engineering Theory AND EEE202 Electron Devices

Course outline

Theme Hours

Introduction to topics to be covered, literature and requirements. 1

Classification of manufacturing systems, technology pyramid and tree. 1

Mechanically activated control switches, relays, actuators. 2

Solid-state devices – transistor and thyristor switches, solid state relays AC and DC voltage regulators. 2

Discrete sensors – inductive, capacitive, photoelectric sensors, operational principles and typical implementation. 2

Analog industrial sensors and transducers, their operational principles and typical implementation. 4

The structure and basic properties of operational amplifiers. 2

Analog signal conditioning with operational amplifiers. Active filters. 4

Typical operational amplifier integrated circuits and their parameters. Instrumental operational amplifier. 4

Electromagnetic noise in industrial equipment and relevant noise suppression methods. 2

Logic gates, manipulation, integrated logic circuit families. 2

Industrial power supply topologies. Popular integrated voltage regulator circuits. 2

Introduction to programmable logic controller (PLC) systems. The structure and modules of PLCs. 2

Classification and structure of industrial communication networks. 2

Learning outcomes and assessment

Learning outcomes Assessment methods

Ability to recognize and apply typical discrete and analog sensors. Test on relevant subjects covered in lectures.

Ability to recognize and apply typical analog signal conditioning modes with operational amplifiers. Test on relevant subjects covered in lectures.

Ability to synthesize and optimize logic functions according with given automation tasks. Test on relevant subjects covered in lectures.

Ability to design simple process control systems. Executed, completed, defended home task.

Study subject structure

Part Semester CP Hours per Week Tests Tests (free choice)

Autumn Spring Summer Lectures Practical Lab. Test Exam Work Test Exam Work

1. * 2.0 2.0 0.0 0.0 * *

RTU Course "Basics of Communication"

01129 Sociālo zinātņu katedra

General data

Code HPS120

Course title Basics of Communication

Course status in the programme Compulsory/Courses of Limited Choice; Courses of Free Choice

Course level Undergraduate Studies

Course type Academic

Field of study Social Science

Responsible instructor Gudzuka Sandra

Academic staff Gudzuka Sandra

Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits

Language of instruction LV

Possibility of distance learning Not planned

Abstract The subject of the course "Basics of Communication" suggests different contexts of communication

in the fields of psychology, ethics, culture. Terminology and nature of communication. Verbal and

nonverbal aspects. Interpersonal relationship in a group. Principles of human cooperation. Ethical

regulation of human relationships. Influence of cultural norms. Conflict management.

Communication style and behaviour etiquette at university. Nature of communicative competence.

Goals and objectives of the course in terms of Goal of this study designed to develop students' communicative competence, which include a)

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competences and skills understanding of the interface situation, goals, and student's own and partner's interaction behavior,

b) skills to select and use adequate means of communication.Students must be able to analyze the

interaction of the situation, be able to argue their position in the discussion, should be able to

choose the appropriate behavioral tactics.Understand their strengths and weaknesses of hand

contact and be able to develop a personal communication style.Understand the principles of team

cooperation, should be able to consciously choose his own role in a team,able to build effective

communications in group

Structure and tasks of independent studies Study the subject of a student acquisition of the following distinct tasks: 1) literary analysis, 2)

communication skills training and learning skills of self-assessment during the semester and 3)

conduct interviews a research project with the intention to develop interviewing and observation

skills, 4) Group work organization, with a view to develop leadership skills, 5) the ability to access

the personal analysis and exposition set up.

Recommended literature Omarova S.Cilvēks runā ar cilvēku R., 2002

Veics V. Uzvedības kultūra saskarsmē. R., 2000.

L.Dubkēvičs,I.Ķestere. Saskarsme.Lietišķā etiķete. R.,Jumava, 2003.

Course prerequisites Experience in interface.

Courses acquired before

Course outline

Theme Hours

1.Interface concept. The structure of communicative competence. 2

2.Communication functions and types. 2

3.Individual communication style and the factors that affect communication quality. 2

4.Verbal communication. Speech and listening. Persuasion techniques. Interviewing skills. 4

5. Non-verbal communication and the role of expression contexts. 2

6.Effective interface, communication barriers,the principles of customer communication, interacting with partners. 4

7.People mutual perception and evaluation. Perceptual errors and causal atribution. Stereotypes and prejudice. 4

8.Interface in working groups and teams. Roles and cooperative principles. 4

9.Conflict. Conflict types, agents, dynamics and resolution capabilities. Behavioral tactics in the conflict. 4

10. Ethical aspects of access and communication culture. Tolerance and interaction prejudices. Communication at uni. 4

Learning outcomes and assessment

Learning outcomes Assessment methods

Understanding of communication process, structure, verbal and non verbal aspects of communication

competence. - Case studies. Pretest.Test.

Understanding of communication competence and communication skills improvement. - Self-

evaluation accoording to formulated criteria.

Understanding of conflict situations, serious communication partners and the skill to choose the

appropriate action model. - Role-playing and the simulation of situation. Self-assessment and expert

ratings.

Skills in team work, an understanding of group and team activities. - Group assignment presentations

and self-analysis.

Skills to create a personal communication style characteristics. - Mutual rating (expert and self-

esteem) Final examination - test.

Study subject structure

Part Semester CP Hours per Week Tests Tests (free choice)

Autumn Spring Summer Lectures Practical Lab. Test Exam Work Test Exam Work

1. * * 2.0 1.0 1.0 0.0 * *

RTU Course "Basics of Signal Theory"

13223 Elektronikas pamatu katedra

General data

Code RTR220

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Course title Basics of Signal Theory

Course status in the programme Compulsory/Courses of Limited Choice

Course level Undergraduate Studies

Course type Academic

Field of study Electronics and Telecommunications

Responsible instructor Beķeris Elmars

Academic staff Beķeris Elmars

Volume of the course: parts and credits points 1 part, 4.0 Credit Points, 6.0 ECTS credits

Language of instruction LV, EN, RU

Possibility of distance learning Not planned

Maximum auditorium capacity 180

Maximum number of students per semester 180

Abstract Clasification of signals, their characteristics, examples of use for communication systems.

Continuous-time periodic and non-periodic signals, Fourier transforms, properties. Disrete-time

signals, Discrete Fourier Transforms, digital filtering, FIR and IIR filters. Modulation, AM, FM,

PM signals, digital modulation, transformation of modulated signals by narrowband linear systems.

Random signals, main parameters, principles of measurement, noise of electronic systems.

Goals and objectives of the course in terms of

competences and skills

To offer understanding of main characteristics of signals and their analysis methods in time and

frequency domains. To acheive the ability evaluate main signal parameters and understanding of

signals transformations in various systems.

Structure and tasks of independent studies 1. Preparation for lab.works, reports writing and their presentation (accomplishment of all activities

related to lab.works is controlled). Objective: to promote understanding of lecture material, to

develop research skills.

2. Preparation for tests (such tests are offered at every practical lesson). Objective: to stimulate

systematical learnind during the term.

3. Accomplishment of offered tasks. Objective: to provide opportunity get aquainted with problems

similar to offered at examination.

Recommended literature 1.Beķeris, E. Signālu teorijas elementi. Rīga, 1998. 184 lpp.

2.Haykin, S., Van Veen, B. Signals and Systems. New York etc.: Wiley, 1999. 694 p.

3.Sherrick, J.D. Concepts in Systems and Signals. 2nd ed. Upper Saddle River (N.J.) ; Columbus

(O.) : Pearson/Prentice Hall, c2005. 447 p.

4.Баскаков, С. Радиoтeхничеcкиe цeпи и сигнaлы. Москва : Высшая школа – visi izdevumi

(1983 – 2005).

5.Сaтo, Юкио. Oбрaбoтka сигнaлoв. Пeрвoe знakoмствo. Москва: Додэка ХХI, 2002. 176с.

6.Сeргиенko, A. Цифрoвaя oбрaбoтka сигнaлoв. Москва и др. : Питер, 2002.608 c.

vai Сергиенко, А. Б. Цифровая обработка сигналов. 2-е изд. Москва [и др.] : Питер, 2006. 750

с.

7.Денисенко, А. Н. Сигналы : Tеоретическая радиотехника : справочное пособие. Москва :

Горячая линия – Телеком, 2005. 704 с.

8.http://www.complextoreal.com/

Course prerequisites Mathematics: vector analysis; complex algebra, singularities; derivatives, integration. Circuit

theory. Electronic devices.

Courses acquired before

Course outline

Theme Hours

Introduction. Classification of signals, power and energy signals. 3

Representation of periodic signals by Fourier series basrd on orthogonal set of functions. Spectras. 5

Trigonometric Fourier series. Transformation of periodic signals by linear continuous-time systems 6

Complex exponential Fourier series, Fourier transforms, spectral density. 4

Properties of Fourier transforms. 5

Energy spectrum, Rayleigh's theorem, bandwidth of aperiodic signals. 4

Representation of a continuous-time signal by its samples, the sampling theorem, sampling in the frequency domain. 4

The Discrete Fourier Transforms. 4

Main principles of digital filtering. Analysis of digital filters in the time and frequence domains, Z-transforms. 6

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Modulated signals, Amplitude modulation (AM), transformation of AM signals by bandpass systems, balance and single side 5

Angle modulation: frequency modulated and phase modulated signals. 5

Digital modulation - amplitude, phase and frequency shift keying, M-ary modulation. 2

Random signals: ensemble of sample functions, stationarity, probability density functions. 4

Random signals: autocorrelation function, power spectral density. 3

Transformation of random signals by linear system. Noise in electronic systems. 4

Learning outcomes and assessment

Learning outcomes Assessment methods

Able to evaluate the average power and energy of various signals, understand how to select proper

methods for analysis of their properties.

Tests, exam.

Know how to represent periodic signals by trigonometric and complex exponential Fourier series.

Able to calculate spectras of periodic signals

Tests, presentation of laboratory work reports,

exam.

Understand spectral density of signals. Able to apply Fourier transforms for analysis of signals in

linear systems, able to evaluate a bandwidth of signals, apply properties of Fourier transforms.

Tests, presentation of laboratory work reports,

exam.

Able to apply the Sampling theorem, understand how to use Discrete Fourier Transforms. Tests, presentation of laboratory work reports,

exam.

Able to explain the principles of digital filtering, know how to find impulse and frequence responses

of FIR and IIR filters.

Tests, presentation of laboratory work reports,

exam.

Able to describe properties of modulated signals: waveforms, spectras. Tests, presentation of laboratory work reports,

exam.

Able to evaluate characteristics of stationar random signals: mean values, probability distribution,

autocorrelation function, power spectral density. Understand transformation of random signals.

Tests, exam.

Study subject structure

Part Semester CP Hours per Week Tests

Autumn Spring Summer Lectures Practical Lab. Test Exam Work

1. * 4.0 2.0 1.0 1.0 *

RTU Course "Methods of Systems Theory"

12307 Sistēmu teorijas un projektēšanas katedra

General data

Code DSP342

Course title Methods of Systems Theory

Course status in the programme Compulsory/Courses of Limited Choice

Course level Undergraduate Studies

Course type Academic

Field of study Computer Science

Responsible instructor Grundspeņķis Jānis

Academic staff Grundspeņķis Jānis

Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits

Language of instruction LV, EN, RU

Possibility of distance learning Not planned

Abstract Job of a system analyst is directly related to the analysis of different business and technical systems.

For this purpose a system analyst must know methods and tools for the identification and describing

of characteristics and operating principles of different systems. The main attention of the course is

devoted to the development of students' systems thinking by considering the use of system theory

methods in the analysis of different kinds of systems. The following topics are considered during

the course: origin of systems science and its specific methods, basic elements of systems thinking,

principles of systems classification, cybernetic approach to systems thinking, principles and

elements of system control and management, evaluation of system complexity, the role of

information and communication in system management, system laws and principles, as well as life

cycles. By developing an individual work students must apply theoretical knowledge to the analysis

of real world systems.

Goals and objectives of the course in terms of The goal of the course is to provide theoretical knowledge on system approach, systems thinking,

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competences and skills system classification, system control and management, as well as in system engineering principles

and skills for applying system approach and systems thinking to the real problem solving

Structure and tasks of independent studies During the course students must work out practical tasks by choosing two systems classified in

different classes. The practical tasks includes 8 tasks that cover such course topics as characteristics

of systems thinking, system control, system laws and complexity, the role of information and

communications in system management, system approach to the development of systems. The

practical tasks must be submitted sequentally during the semester

Recommended literature 1.Schoderbek, P.P, Schoderbek, C.G., Kefalas, A.G. Management Systems: Conceptual

Considerations (4th ed.). Richard D Irwin, 1990, 458 p.

2.Fenton, N.E., Hill, G. Systems Construction and Analysis: A Mathematical and Logical

Framework. McGraw - Hill, 1993, 465 p.

3.Skyttner, L. General Systems Theory: Problems, Perspectives, Practice. World Scientific

Publishing Company, 2006, 536 p.

4. Bose, N. K. Multidimensional Systems Theory and Applications.Springer Netherlands, 2009,

292 p.

5. Lunze, J., Lamnabhi-Lagarrigue, F. Handbook of Hybrid Systems Control: Theory, Tools,

Applications. Cambridge University Press,2009, 582 p.

Course prerequisites None

Courses acquired before

Course outline

Theme Hours

Evolution from the machine age to the systems age 2

Basic elements of systems thinking and their characteristics 2

Main concepts of a system definition and their characteristics 4

System classifications 2

System laws and principles 2

Cybernetics approach to systems thinking, classification of systems on the basis of their complexity and predictability 2

System control using feedback 6

Elements of a control system 2

Systems’ variety and complexity 2

System management and information and communication theory 2

System management 2

System engineering 2

Systems life cycle models 2

Learning outcomes and assessment

Learning outcomes Assessment methods

Students will know characteristics and differences of machine and systems age, methods of systems

science and will be able to compare analytical and systems approach

Knowledge assessment using concept maps

Students will know characteristics of systems thinking and will be able to describe real world systems

using them

The first, second and third practical task,

knowledge assessment using concept maps

Students will know the essence and goals of classification, widely used classifications and classes of

systems

Knowledge assessment using concept maps

Students will know the essence of system control, its basic principles and elements and will be able to

identify different kinds of feedback and elements of a control system in real world systems

The fourth and seventh practical task,

knowledge assessment using concept maps.

Students will know system laws and principles and will be able to show their manifestations in real

world systems

The fifth practical task, knowledge assessment

using concept maps

Students will know what is the systems’ complexity and will be able to evaluate it quantitatively and

qualitatively for real world systems

The sixth practical task, knowledge assessment

using concept maps

Students will know the role of information and communications in system management and will be

able to demonstrate it, using real world examples, as well as to calculate information volume

The eighth practical task

Study subject structure

Part Semester CP Hours per Week Tests

Autumn Spring Summer Lectures Practical Lab. Test Exam Work

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1. * 2.0 2.0 0.0 0.0 *

RTU Course "Numerical Methods"

12021 Inženiermatemātikas katedra

General data

Code DOP204

Course title Numerical Methods

Course status in the programme Compulsory/Courses of Limited Choice

Course level Undergraduate Studies

Course type Academic

Field of study Mathematics and Statistics

Responsible instructor Iltiņš Ilmārs

Academic staff Iltiņš Ilmārs

Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits

Language of instruction LV, EN, RU

Possibility of distance learning Not planned

Abstract Solution of linear equation systems by direct, iterative and variation methods. Solution of nonlinear

equations and systems. Interpolation, aproximation, mean square method, its applications.

Noncorrect problems. Regularization with Tihonov method.

Goals and objectives of the course in terms of

competences and skills

After mastering the course student must be able to perform the simplest numerical methods. Student

must be competent in problems that could occure in the process of applying numerical methods.

Must be able to use the software MATHEMATICA to solve the simplest problems. Must be able to

use the built-in functions of MATHEMATICA.

Structure and tasks of independent studies While mastering the course student is expected to accomplish two home tasks. The mark of the

home tasks influences the final mark with a weight 40%.

Recommended literature 1. M. Iltiņa, I. Iltiņš. Skaitliskās metodes. Rīga, RTU, 2002, 95 lpp.

2. R. Smirnova, M.Iltiņa, I. Iltiņš. Skaitlisko metožu pielietojumi Mathcad vidē. Rīga, RTU, 2003,

93 lpp

3. H. Kalis. Diferenciālvienādojumu tuvinātās risināšanas metodes. R., Zvaigzne, 1986.

4. Samarskis A. A., Guļins A. B. Skaitliskās metodes. M., Zinātne, 1989. (krievu valodā).

Course prerequisites Linear algebra, analytical geometry, calculus and preliminary knowledge in software

MATHEMATICA.

Courses acquired before

Course outline

Theme Hours

Direct methods of solution of linear simultaneous equations. Appliance of the methods. 4

Methods of iteration for linear simultaneous equations. Concept of convergence. 4

Theorems that caracterize convergence of methods of iteration and application problems connected with them. 4

Interpolation and approximation, their appliance. 4

Methods of solution for nonlinear equations and simultaneous equations. 4

Numerical differentiation and integration, smoothing. 4

Numerical methods of solving of differential equations. Methods of Euler and Runge- Kutta. 4

Concept of ill conditioned problems. Coefficient of determination. Regularization. 4

Learning outcomes and assessment

Learning outcomes Assessment methods

Student is expected to know methods of solving simultaneous linear equations based on factoring of

matrix. Must be able to perform these methods by means of the software MATHEMATICA

Home assignment. Task in the exam.

Student is expected to know Seidel method, Jacobi method, method of simple iteration, method of

minimal discrepancy. Must be able to perform these methods by means of the software

MATHEMATICA.

Home assignment. Task in the exam.

Student must know the concept of convergence and the causes of eventual nonconvergence. Knowledge necesary to carry out home work

of previous items. Task in the exam.

Student must be able to perform table's interpolation by linear combination of functions, by cubic Home assignment. Task in the exam.

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spline. Must be able to perform table's approximation by means of method of minimal squares.

Student must be able to apply the method of simple iterations and the Newtons method to solve

equations and simultaneous equations.

Home assignment. Task in the exam.

Student must know the main methods of numerical differentiation and integration. Home assignment. Task in the exam.

Student must know the concept of difference equations. Must be able to apply Eulers method and the

method of Runge-Kutta to solve Cauchy problem.

Home assignment. Task in the exam.

Student must know the concept of ill conditioned problem. Must understand the influence of the

coefficient of determination on the quality of solution.

Task in the exam.

Study subject structure

Part Semester CP Hours per Week Tests

Autumn Spring Summer Lectures Practical Lab. Test Exam Work

1. * 2.0 1.0 1.0 0.0 *

RTU Course "Special Purposes Electrical Machines"

11213 Elektrisko mašīnu un aparātu katedra

General data

Code EEM426

Course title Special Purposes Electrical Machines

Course status in the programme Compulsory/Courses of Limited Choice

Course level Post-graduate Studies

Course type Professional

Field of study Power and Electrical Engineering

Responsible instructor Ketners Kārlis

Academic staff Ketners Kārlis

Volume of the course: parts and credits points 1 part, 3.0 Credit Points, 4.5 ECTS credits

Language of instruction LV

Possibility of distance learning Not planned

Abstract Special Purposes Electrical Machines (SPEM) classification, principles of design and operation,

application fields, types are comprised in this course. SPEM that are used in test stands in mode of

brake and sensor, SPEM of informatics and transportation, electromagnetic coupling, frequency

converters, SPEM bases on magnetohydrodynamics. Directions of development and perspectives of

SPEM.

Goals and objectives of the course in terms of

competences and skills

Structure and tasks of independent studies

Recommended literature 1. Dirba J. Ketners K. Elektriskās mašīnas. R.: RTU, 2007

2. Dirba J., Ketners K., Levins N., Pugačevs V. Transporta elektriskās mašīnas. R.: Jumava, 2002.

3. Ф.М. Юферов. Электрические машины автоматических устройств. М.: Высш.шк., 1988.

4. Л.А. Потапов, Юферов Ф.М. Измерение вращающих моментов и скоростей вращения

микроэлектродвигателей. М.: Энергия, 1974.

H.Moczala, J.Draeger, H.Krauss, H.Schok, S.Tillner. Small electric motors. London, IEE, 1988.

6. Elektriskās mikromašīnas. Laboratorijas darbu uzdevumu un metodiskie norādījumi. R.: RTU,

2006.

Course prerequisites

Courses acquired before EEM305 Electrical Machines

Study subject structure

Part Semester CP Hours per Week Tests

Autumn Spring Summer Lectures Practical Lab. Test Exam Work

1. * 3.0 1.5 0.0 1.5 *

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RTU Course "Sport Activity"

01121 Sporta katedra

General data

Code HFA101

Course title Sport Activity

Course status in the programme Compulsory/Courses of Limited Choice

Course level Undergraduate Studies

Course type Academic

Field of study Sports

Responsible instructor Bonders Viktors

Academic staff Bonders Viktors

Volume of the course: parts and credits points 2 parts, 0.0 Credit Points, 0.0 ECTS credits

Language of instruction LV, RU

Possibility of distance learning Not planned

Abstract Swimming.Rhythmics.Weight-lifting.Sports Games. General Physical Training.

Goals and objectives of the course in terms of

competences and skills

Not for

Structure and tasks of independent studies Not planned

Recommended literature Masumēdiju publikācijas par sportu. Mācību programma priekšmetā sports. R., RTU,2007

Course prerequisites Not necessary

Courses acquired before

Course outline

Theme Hours

Practical training 64

Learning outcomes and assessment

Learning outcomes Assessment methods

To pass the test The test

Study subject structure

Part Semester CP Hours per Week Tests

Autumn Spring Summer Lectures Practical Lab. Test Exam Work

1. * * 0.0 0.0 2.0 0.0 *

2. * * 0.0 0.0 2.0 0.0 *

RTU Course "Descriptive Geometry and Engineering Graphics"

20226 Datorizētās inženiergrafikas katedra

General data

Code BTG131

Course title Descriptive Geometry and Engineering Graphics

Course status in the programme Compulsory/Courses of Limited Choice

Course level Undergraduate Studies

Course type Professional

Field of study Engineering Graphics

Responsible instructor Dobelis Modris

Academic staff Dobelis Modris

Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits

Language of instruction LV, EN, RU

Possibility of distance learning Not planned

Maximum auditorium capacity 30

Maximum number of students per semester 1000

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Abstract Theoretical basis of representation of spatial objects on the plane. Projection methods. Point, line

and plane. Drawing transformation methods. Metric exercises. Intersection problems. Isometric

views. Complex drawing. Formats, scale, line code. Views, sectional views and sections.

Dimensioning. Screw threads. Threaded fastenings and joint representation. Sketches and working

drawings. Detail assemblies. Computer aided geometric modeling of engineering objects.

Goals and objectives of the course in terms of

competences and skills

Acquire the knowledge about theoretical aspects of spatial object representation in the amount of

basic knowledge of descriptive geometry. Be able to use this knowledge in practice while creating

sketches and drawings for details and assemblies.

Structure and tasks of independent studies Practical and laboratory graphic assignments in class, individual home exercises:

Drawing document, scale, lettering, lines.

Intermediate test: Points, lines, planes in space.

Sections of tetrahedrons. Pyramid and prism.

Sections of objects of rotation, Cone, cylinder, sphere.

Views and simple sections (sketch).

Complex and partial sections in multiview drawing and isometric.

Intermediate test: Views, sections, dimensions.

Sketch of detail with thread.

Threaded joint and parts list.

Exam: 1: Sectioned objects. 2. Multiview drawing.

Recommended literature 1. Inženiergrafika. Autori: Auzukalns J., Dobelis M., Fjodorova G., Jurāne I., u.c. Rīga: RTU. 2008.

-310 lpp. MLĶF un TMF studentiem.

2. Būvgrafika. Mācību līdzeklis tehnisko augstskolu studentiem. Autori: Auzukalns J., Dobelis M.,

Fjodorova G., Jurāne I. Rīga: RTU, 2007. – 396 lpp. BF studentiem.

3. Inženiergrafika. Čukurs J., Nulle I., Dobelis M. Jelgava: LLU, 2008. - 416 lpp. Neklātienes

studentiem.

3. Inženiergrafika. Jurāns V. , Rieksts V. , Seņins A. Rīga, 1983. -276 lpp.

4. Technical Drawing and Engineering Communication. Goetsch D.L. Chalk W.S., Nelson J.A.

Rickman R.L. Delmar Cengage Learning, 2010. -986 p.

5. Начертательная геометрия и черчение. Чекмарев А.А. Москва: ВЛАДОС, 2005. -471 с.

Course prerequisites The knowledge of geometry covered in high school.

Courses acquired before

Course outline

Theme Hours

Introduction. Projection methods. Orthogonal projections of point, line and plane 2

Relationships between points, lines and planes. 2

Projections of polihedra and their sections with edge view planes. Pyramid and un prism. 4

Projections of objects of revolution and their sections with edge view planes. Cone, cylinder and sphere. 4

Sectioned geometric objects. 2

Views, sectional views, sections, partial sections, dimensioning. Isometric views. 8

Threaded joint, representation and dimensioning. Sketching. 4

Preparation of assembly drawing and part's list . 4

Multiview drawing of detail with sections and dimensions. 2

Learning outcomes and assessment

Learning outcomes Assessment methods

Students will know the method of multiview drawing formation. Will be able to construct points,

lines and planes in three projections. Will be able to represent simple geometric objects in projections

Practical class exercises, home assignments,

intermediate test. Evaluate the ability to use

projection method in practice and neatness of

completed graphic exercise.

Are able to represent geometric objects in multiview drawing and construct mental section with

section planes. Are able to recognize represented spatial geometric elements in multiview drawing.

Practical class exercises, home assignments,

exam. Evaluate the ability to read and

represent geometric objects in drawing and

neatness of completed graphic exercise.

Students are able to represent simple details in multiview drawing and axonometric projection,

complete required sections and dimension properly. Are able create sketches of simple details.

Practical class exercises, home assignments.

Evaluate the ability to decompose simple detail

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into geometric objects, represent them in

drawing and neatness of completed graphic

exercise.

Will understand separable and permanent joints. Are able to represent detail with thread, determine

their parameters. Will be able represent threaded joint in assembly drawing and build parts list.

Laboratory exercise with measuring

instruments, home assignments, exam.

Evaluate the ability to create a drawing

according to standards and neatness of

compled graphic exercise.

Study subject structure

Part Semester CP Hours per Week Tests

Autumn Spring Summer Lectures Practical Lab. Test Exam Work

1. * * 2.0 0.0 0.0 2.0 *

RTU Course "Business Economics and Fundamentals of Marketing"

22108 Ražošanas un uzņēmējdarbības ekonomikas katedra

General data

Code IUE206

Course title Business Economics and Fundamentals of Marketing

Course status in the programme Compulsory/Courses of Limited Choice

Course level Undergraduate Studies

Course type Academic

Field of study Economics

Responsible instructor Sundukova Zoja

Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits

Language of instruction LV

Possibility of distance learning Not planned

Abstract Forms of entrepreneurship. General description of company's assets and sources of financing.

Composition and utilization of fixed assets. Current assets, utilization indicators. Labor resources.

Indicators of labor productivity. Types and systems of remuneration. Concepts of costs and

expenditures. Classification of costs. Calculation of prime cost. Calculation of cost items. Profit and

profitability. Launching of a company in the consumer goods market. Research of market

conjuncture.

Goals and objectives of the course in terms of

competences and skills

Structure and tasks of independent studies

Recommended literature 1. Alsiņa,R.,Gertners,G.Uzņēmējdarbības plānošanas principi un metodes.- Rīga:RTU,2005.-

229.lpp.

2. Alsiņa R., Kravinska B., Bojarenko J. Uzņēmējdarbības ekonomika. – Rīga: Kamene, 1999.-

165lpp.

3. Alsiņa R., Zolotuhina K., Bojarenko J. Vadības grāmatvedības pamati. – Rīga.: Raka. 2000. –

180 lpp.

4. Ahenbahs H. Uzņēmējdarbība tirdzniecībā. – R.Vadelote. 1999.-213 lpp.

5. Didenko K., Lāce N. Investīciju lēmumu pieņemšana. – Rīga.: RTU, 2001.-126lpp.

6. Frolova L. Ekonomisko procesu matemātiskā modelēšana. – R.: Biznesa augstskola Turība,

1999. – 308 lpp.

7. Hofs Kjells Gunnars. Biznesa ekonomika/Tulkots no norvēģu valodas. – Rīga: Jāņa Rozes

apgāds, 2002. – 560 lpp.

8. Petrova L., Alsiņa R. Esi uzņēmējs! – R. Kamene, 1999.-184 lpp.

9. Praude V., BeļčikovsJ. Menedžments. – R. Turības mācību centrs, 1997. – 135 lpp.

10. Rurāne M. Ražošana. – R.: Turības mācību centrs, 1998. – 184 lpp.

11. Živitere M. Komercdarbības (biznesa) plāns. – R. Biznesa komplekss, 2000.-100 lpp.

12. Eugene F. Brigham. Fundamentals of Financial Management. – USA: the Orydem Press, 1995.

13. Griftin, Ebert. Buseness.-USA: Prentice Hall, 1996.

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14. Mcguigan, Moyer, Harris. Managerial Economics.-USA: West Publishing, 1993.-724lpp.

15. Джай К. Шин. Джойл Г. Сигел. Основы коммерческого бюджетирования. Пер. с англ.-

СП6. Азвука, 2001 496 стр.

16. Сироплис Н.К. Управление малым бизнесом. Пер. с англ. – М., Дело, 1997.-672 с.

17. Составление бизнес – плана Э.С.Зилель, Л.А. Шулбц, Б.Р.Форд, Д.С. Карни.-2-е изд.- М.:

Джон Уайли энд Санз, 1995.-223.

Course prerequisites

Courses acquired before

Study subject structure

Part Semester CP Hours per Week Tests

Autumn Spring Summer Lectures Practical Lab. Test Exam Work

1. * 2.0 1.0 1.0 0.0 *

RTU Course "Business and Investments"

22414 Starptautiskās un reģionālās ekonomikas kat.

General data

Code IBO319

Course title Business and Investments

Course status in the programme Courses of Free Choice

Course level Undergraduate Studies

Course type Academic

Field of study Economics

Responsible instructor Ādamsone Liena

Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits

Language of instruction LV, RU

Possibility of distance learning Not planned

Abstract Essence, types and relevance of economics of investments. The synergy effects of investments. The

main strategies of investments, the assessment of investment projects to evaluate the effectiveness

of different capital investment alternatives and their risk level. There are analyzed investments into

human capital, in the different securities and possibilities of public private partnership.

Goals and objectives of the course in terms of

competences and skills

to acquaint with the capital investment possibilities and with the evaluation of investment

alternatives.

The main tasks:

-to understand the influence of investments on the development of the economy and their synergy

effects;

-to manage evaluate the different capital investment alternatives;

-to make sense of investment projects realizing using public and private partnership

Structure and tasks of independent studies 1. home work - to design cash flow

2. home work - to assess investment project

3. home work - to evaluate risk level of investment project

4. home work - to identify the value of shares and bonds

Recommended literature Brealey, Richard A. Principles of Corporate Finance/ Stewart C. Myers. – 4th ed. – New York:

McGraw-Hill, 1991. – 924 p.

Сухарев О.С., Шмалѐв С.В., Курьянов A.M. Синергетика инвестиций.-

Москва: 2008 – 366 стр.

Нуреев Р.М. Курс микроэкономики.- НОРМА-ИНФРА, Москва: 2001 – 560 стр.

Золотогоров В.Г. Инвестиционное проектирование. Экономперспектива. 1998 – 464 стр.

Button M., A practical Guide to PPP in Europe, City & Financal Publishing UK, 2006 – 165 p.

Course prerequisites preferable knowledge in Microeconomics and Macroeconomics.

Courses acquired before

Course outline

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Theme Hours

1. The forms of investments and their nature 2

2. The synergetic of investments: the dynamic of the unbalanced systems, the synergy effects of investments 4

3. The influence of investments on economy and their main factors 4

4. The main strategies of investments and their realization 2

5. The main assessment methods to evaluate investment projects 4

6. Cost benefit analysis, cost effectiveness analysis 2

7. The assessment of investment project risk level 2

8. Attraction of capital for the realization of investment project 2

9. Investments into human capital 2

10. Financial investments in the different securities 4

11. The assessment of shares using technical and fundamental analysis 2

12. The main models of public private partnership and their application in the different branches in the national econom 2

Learning outcomes and assessment

Learning outcomes Assessment methods

will be able to:

1.describe the influence of investments on the development of economy

the 1. test work

2.compare the different capital investment alternatives, to design cash flow and to assess capital

investment project

tasks

3. apply analysis of sensitivity to define which changes of figures more influence the net present

value

the 2. test work

4. to design the investments of human capital and their return, to explain relationship between the

investments in human capital and their return, competences and knowledge

tasks

5. appraise investments in the different securities using profitability and risk level the 3. test work

6. list the main models of public private partnership and to describe the main differences between

them and their advantages

discussion

Study subject structure

Part Semester CP Hours per Week Tests Tests (free choice)

Autumn Spring Summer Lectures Practical Lab. Test Exam Work Test Exam Work

1. * 2.0 2.0 0.0 0.0 *

RTU Course "Business Economics"

22108 Ražošanas un uzņēmējdarbības ekonomikas katedra

General data

Code IUE217

Course title Business Economics

Course status in the programme Compulsory/Courses of Limited Choice; Courses of Free Choice

Course level Undergraduate Studies

Course type Academic

Field of study Economics

Responsible instructor Sundukova Zoja

Academic staff Sundukova Zoja

Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits

Language of instruction LV

Possibility of distance learning Not planned

Abstract Types of business. General description of company's assets and sources of financing. Intangible

assets. Composition and utilization of fixed assets. Current assets, utilization indicators. Labor

resources. Indicators of labor productivity. Types and systems of remuneration. Concepts of costs

and expenditures. Classification of costs. Calculation of prime cost. Calculation of cost items. Profit

and profitability, factors affecting profitability.

Goals and objectives of the course in terms of

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competences and skills

Structure and tasks of independent studies

Recommended literature 1. Alsiņa R. Kravinska B., Bojarenko J. Uzņēmējdarbības ekonomika. – Rīga: “Kamene”, 1999.g. –

165 lpp.

2. Alsiņa R., Zolotuhina K., Bojarenko J. Vadības grāmatvedības pamati. – Rīga.: RaKa, 2000. –

180 lpp.

3. Dideko K., Lāce N. Investīciju lēmumu pieņemšana. – Rīga: RTU, 2001. – 126 lpp.]

4. Hofs Kjells Gunnars. Biznesa ekonomika/ Tulkots no norvēģu valodas. – Rīga: Jāņa Rozes

apgāds, 2002. – 560 lpp.

5. Ovčiņņikova I., Uzņēmējdarbības ekonomika. - Rīga, RTU, 2002. - 64 lpp.

6. Rurāne M. Finanšu menedžments. - Rīga: RSEEBAA, 2005. - 384 lpp.

7. LR likums “Komerclikums”//Latvijas Vēstnesis, 04.05.2000.

8. LR likums “Komerclikuma spēkā stāšanās kārtības likums”// Latvijas vēstnesis, 28.12.2001.

9. LR likums “Grozījumi komerclikumā”// Latvijas vēstnesis, 2009.

10. Eugene F. Brigham. Fundamentals of Financial Management. – USA: the Dryden Press, 1995.

11. Mcguigan, Moyer, Harris. Managerial Economics.–USA: West Publishing, 1993.–724lpp.

12. Griftin, Ebert. Business. – USA: Prentice Hall, 1996.

13. Джай К. Шин. Джойл Г. Сигел. Основы коммерческого бюджетирования/ Пер. с англ. –

СП6. : Азбука, 2001. 496 стр.

Course prerequisites

Courses acquired before

Study subject structure

Part Semester CP Hours per Week Tests Tests (free choice)

Autumn Spring Summer Lectures Practical Lab. Test Exam Work Test Exam Work

1. * 2.0 1.0 1.0 0.0 * *

RTU Course "Organization of Management in Enterprise"

22112 Vadībzinību katedra

General data

Code IRO202

Course title Organization of Management in Enterprise

Course status in the programme Courses of Free Choice

Course level Post-graduate Studies

Course type Professional

Field of study Business Management and Administration

Responsible instructor Zvanītājs Jānis

Academic staff Zvanītājs Jānis

Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits

Language of instruction LV, RU

Possibility of distance learning Not planned

Abstract Enterprise as a system. Management functions. Goals and planning of business. Goal management.

Decision making. Labor projection. Planning of the required number of staff: recruitment and

selection, selection for particular jobs, performance evaluation. Organizational structure. Delegation

and audit interval. Communication within organizations. Time management. Management audit:

audit techniques, performance appraisal

Goals and objectives of the course in terms of

competences and skills

Competence about system of organization of management in enterprise. Ability of organization of

entrepreneurship and resources, making business decisions, formulation of efficiency of goals.

Structure and tasks of independent studies Ability to review organization of management in enterprise, to define changes in specified period.

Recommended literature G.Dāvidsone. Organizāciju efektivitātes modelis., Rīga, SIA O.D.A. 2008.

C.Cole. Management theory and practice, London, 1993.

A.Līdumnieks. Vadīšana. Ogre, 1994.

J.Beļčikovs, V.Praude, Menedžments, Rīga, 1997.

Course prerequisites IRO302, Organization of production.

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Courses acquired before

Course outline

Theme Hours

Urgency of subject, goals and tasks, relations with other disciplines. 2

System of elements of organization of management in enterprise, its significance. 2

Resourses of enetrprise, its administration. 2

Material and technical resources of enetrprise, organization of its efficient exploitation. 2

Organization of management of technological processes, its significance in entrepreneurship. 2

Employee as main element of organization of management in enterprise. 2

Human resourses and its significance in entrepreneurship. 2

Main directions of organization of work, its significance in organization of management. 2

Indexes of efficiency of management, its exploitation. 2

Systems of stimulation of employees, its exploitation. 2

Organization of formation and exploitation of material resources in enterprise. 2

Organization of financial resources in enterprise. 2

Organization of system of management of enterprise. 2

Efficiency of organization of management of enterprise, its criterions. 2

Methods of determination of organization of management, criterions of substantiation. 2

Organizational substantiation of perspectives of development of enterprise. 2

Learning outcomes and assessment

Learning outcomes Assessment methods

Competence in system of organization of management. Study work.

Ability to review theoretical and practical aspects of organization of management. Study work.

Ability to review organization of management, its efficiency. Study work.

Ability to review and make forecast of organizational development of enterprise. Study work.

Study subject structure

Part Semester CP Hours per Week Tests Tests (free choice)

Autumn Spring Summer Lectures Practical Lab. Test Exam Work Test Exam Work

1. * * 2.0 1.0 1.0 0.0 *

RTU Course "Sociology of Management"

01129 Sociālo zinātņu katedra

General data

Code HSP375

Course title Sociology of Management

Course status in the programme Compulsory/Courses of Limited Choice; Courses of Free Choice

Course level Undergraduate Studies

Course type Academic

Field of study Social Science

Responsible instructor Taraškevičs Ronalds

Academic staff Taraškevičs Ronalds

Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits

Language of instruction LV, RU

Possibility of distance learning Not planned

Maximum auditorium capacity 150

Maximum number of students per semester 600

Abstract The importance of social phenomena and processes in the development of the society, governance

of the society (theoretical basics). Skills in distinguishing among structures and styles of different

management levels. The effect of social phenomena and processes on work organization,

motivation, formal and infomal human relationship is evaluated.

Goals and objectives of the course in terms of The goal of the sociology of management is to make the technocratic way of thinking more

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competences and skills humanitarian, thus gaining the basic competences in decision-making basing not only on technical

and economic but also on social factors. In seminars and practical classes it is possible to gain skills

in evaluating social risks choosing governance structures and management styles.

Structure and tasks of independent studies 1. Homework - to make a questionnaire and present the findings in a seminar. 2. Practical classes -

case studies in work collectives with the aim to minimize risks in decision-making process. 3.

Seminars - discussion on the effect of social phenomena on the governance process. 4. Tests - to

check skills in identifying, defining, describing and evaluating social phenomena and processes.

Recommended literature 1. R.Taraškevičs. Vadības socioloģija (ik gadu atjaunots lekciju konspekts, praktisko nodarbību

uzdevumi un testi, brīvi pieejami e - studiju vidē).-Rīga. 77. lpp..

2. R.Taraškevičs. Ievads vadības socioloģijā (lekciju konspekts). -Rīgā. 1993. -182 lpp..

3. (R.Taraškevičs, lekciju konspekts, 2006.g.) http://www.bf.rtu.lv/documents/nvsd/materiali/vs.pdf

4. A.Kravčenko, I.Tjurina. Vadības socioloģija (krievu valodā). -Maskava. 2005. -1134 lpp..

5. G.Ozolzīle. Socioloģija. -Rīga. 2009. -253 lpp..

6. J.Ščepanskis. Socioloģijas elementārie jēdzieni (krievu valodā). -Maskava. 1969. -245 lpp..

7. M.Vellers. Viss par dzīvi (krievu valodā). -Sankt-Peterburga. 2003. -750 lpp..

8. Philip Kotler. Marketing Essentials. -Northwestern University. 1989. -639 p..

Course prerequisites Secondary education

Courses acquired before

Course outline

Theme Hours

1. Sociology as a science. Preconditions, stages and regulations of the development of society. 2

2. Sociology of management. History, subject of research, definitions. 4

3. Methods in practical sociology. Methods of obtaining information, credibility and interpretation of data. 2

4. Employee in the system of social relations. Social processes and changes of social processes. 4

5. Social aspects of marketing. Essence of marketing and methods of market management. 4

6. Enterprise as a social system. Social and demographic, ethnic, economic and distribution relations. 2

7. Social aspects of human factor. Necessity and mechanisms of activization of the human factor. 4

8. Social aspects of management. Importance of the state social policy, social projects and technologies. Governance. 4

9. Social aspects of work and work organization. 2

10. Household conditions and work efficiency. Time, space of the development of the society. 2

11. Test. 2

Learning outcomes and assessment

Learning outcomes Assessment methods

Ability to identify the subjects of research of sociology and sociology of management, to define these

sciences and to describe the necessity of the knowledge of sociology for specialists.

Discussion in a seminar, test.

Ability to distinguish among different methods of obtaining sociological information, to apply these

methods, to evaluate the credibility level of the questionnaire method and to explain the findings.

Homework, tests.

Ability to identify social phenomena and processes and to explain their essence. Ability to define the

following concepts-individual, personality, individuality, confidence, awareness and self-confid.

Test.

Ability to distinguish among social aspects of marketing, to compare methods and conceptions of

market management.

Discussion in a seminar, test.

Ability to identify the importance of social organization in the structure of an enterprise as well as

social and demographic, social and ethnic, economic and distribution relations in a work collect.

Test.

Skills to compare structures of professions, specialities, specialization and qualification. Ability to

evaluate social mechanisms of making the human factor more active.

Case study.

Ability to evaluate the importance of the state social policy in the development of the society as well

as the importance of the managing structure and styles in the manager's work organization.

Discussion in a seminar, test.

Ability to identify indicators of stimulus for work and motivation in production. Ability to evaluate

the relations between a person and technical equipment and the evolution of these relations.

Case study.

Ability to choose indicators of life quality and social payment systems and to explain that for the

society time is the space for development.

Case study, test.

Study subject structure

Part Semester CP Hours per Week Tests Tests (free choice)

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Autumn Spring Summer Lectures Practical Lab. Test Exam Work Test Exam Work

1. * 2.0 1.0 1.0 0.0 * *

RTU Course "Probability Theory and Mathematical Statistics"

12022 Varbūtību teorijas un mat. statistikas katedra

General data

Code DMS212

Course title Probability Theory and Mathematical Statistics

Course status in the programme Compulsory/Courses of Limited Choice

Course level Undergraduate Studies

Course type Academic

Field of study Mathematics and Statistics

Responsible instructor Carkovs Jevgenijs

Academic staff Carkovs Jevgenijs

Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits

Language of instruction LV, EN

Possibility of distance learning Not planned

Abstract Classical definition of probability. Axsiomatical definition of probability. Algebra of events.

Bernully's schema. Formulas of full probability and Baijes. Continuous and discrete random

variable. Distributive and density of functions. Large numbers law. Central limit theoreme.

Elements of mathematical statistics. Combinatoric. Test of hypothesis.

Goals and objectives of the course in terms of

competences and skills

Objective of the course is to acquaint students with basics of probability theory and its

mathematical apparatus both on the classical scheme level, and also on axiomatic level. Allow to

understand the regularities of the random phenomena that occur mass-repeating. Giving an

overview of mathematical statistics mission and the possibility of using probability theory

apparatus to solve them.

Structure and tasks of independent studies The course provides an independent homework performance for each topic considered in practical

work.

Recommended literature 1.O.Krastiņš. Varbūtību teorija un matemātiskā statistika. R:Zvaigzne,1985.

2.M.Buiķis,J.Carkovs,B.Siliņa. Varbūtību teorija un matemātiskās statistikas elementi.-Zvaigzne,

1996.

Course prerequisites Linear algebra and analytic geometry, calculus.

Courses acquired before

Course outline

Theme Hours

Definition of probability, sample space, events, algebras, probability axioms 2

Practical. Set operations with events 2

Classical definition, combinatorics, conditional probability, total probability and Bayes' formula 2

Practical. Classical scheme, conditional probability, total probability and Bayes' formula 2

Geometric probability, Bernoulli scheme, limit theorems for Bernoulli scheme. 2

Practical. Bernoulli scheme. 2

Random variables, distribution function, discrete and continuous distributions, probability density function. 2

Test. Random events. 2

Multivariate random variables, expectation, variance, properties 2

Practical. Distribution and probability density function. 2

Covariance, correlation coefficient, limit theorems, the law of great numbers, central limit theorem. 2

Practical. Expectation, variance. 2

Elements and principal problems of mathematical statistics. Data visualisation. Statistical estimates. 2

Practical. Multivariate random variables, covariance, correlation coefficient. 2

Testing hypotheses, losses, risk, Neyman-Pearson lemma, Bayesian an minimax criteria 2

Test. Random variables. 2

Learning outcomes and assessment

Learning outcomes Assessment methods

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Calculation of probabilities for random events. Application of probability axioms, slassical definition,

conditional probability, total probability and Bayes' and Bernoulli formulae

problems to be solved included into test 1

Random variables. Application of major facts about probability distributions (discrete and

continuous), distribution function, density, numeric characteristics.

problems to be solved included into test 2

Elements of mathematical statistics. Application of statistical estimates and confidence intervals,

major methods, hypotheses testing, losses, risk, form of criteria based on Neyman - Pearson lemma,

characteristics of criteria.

problems to be solved included into exam

Study subject structure

Part Semester CP Hours per Week Tests

Autumn Spring Summer Lectures Practical Lab. Test Exam Work

1. * 2.0 1.0 1.0 0.0 *

RTU Course "The German Language"

01A02 Tehniskās tulkošanas katedra

General data

Code HVD108

Course title The German Language

Course status in the programme Compulsory/Courses of Limited Choice

Course level Undergraduate Studies

Course type Academic

Field of study Languages

Responsible instructor Lauziniece Valentīna

Academic staff Lauziniece Valentīna

Volume of the course: parts and credits points 2 parts, 2.0 Credit Points, 3.0 ECTS credits

Language of instruction LV, RU, DE

Possibility of distance learning Not planned

Abstract Entering the university after secondary school the students nowadays have a relatively high level of

the German language skills. Therefore, sustaining and improving this level it is important to

provide the students with the opportunity to apply their basic knowledge within the framework of

the chosen scientific and professional field. The aspects of language application are significant, i.e.,

it is important to acquire special terminology, grammar constructions that are typical of the

literature of specific areas. To improve the competitiveness of graduate engineers in the

international labor market it is necessary to provide the students with opportunity to use the

language often and more effectively in all those aspects within the selected professional field. All

the texts for reading comprehension, writing and speaking topics are selected according to the study

program taking into account the average level of language skills. The selected lexical and syntactic

constructions typical of the technical language and language for specific purposes (LSP) are taught

independently on the study program.

Goals and objectives of the course in terms of

competences and skills

The aims of the program are to develop students' speaking, writing, reading and listening skills; to

improve students' knowledge of business german and business correspondence skills; to increase

the stock of professional terminology, and to develop students' communicative competences.

Particular emphasis is put on developing and improving of reading, comprehension and

interpretation skills while working with professional original texts of intermediate and advanced

level in German identifying, solving and explaining problems of text comprehension.

Structure and tasks of independent studies Two home reading tasks a semester. The students read and work in details with at least two

independently selected texts on special field, summarize the information, prepare presentation,

master new terminology from the texts.

Recommended literature 1. Reimann Monika, Grundstufen-Grammatik für DaF, Max Hueber Verlag, Ismaning, 2008

2. Schumann Johannes, Schwierige Wörter, Übungen zu Verben, Nomen und Adjektiven,

Max Hueber Verlag, Ismaning, 2008

3. Rug W., Tomaszewski A. Grammatik mit Sinn und Verstand.-München: Edition Deutsch

Klett, 2000.

4. Hall K., Schneider B. Übungsgrammatik für Fortgeschrittene.-Verlag für Deutsch, 2004

5. Adelheid Höffgen, Deutsch lernen für den Beruf, Kursbuch, Arbeitsbuch.-Verlag für

Deutsch, Ismaning, 2007

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6. E.Zettl, J.Jansen, H.Müller, Aus moderner Technik und Naturwissenschaft, Ein Lese- und

Übungsbuch für Deutsch als FS.-Hueber, Ismaning, 2003

7. Heinrich Stalb, Deutsch für Studenten, Text- und Übungsbuch.-Verlag für Deutsch,

Ismaning, 1998

8. Hartmut Aufderstraße, Heiko Bock, Jutta Müller, Helmut Müller, Themen 3 aktuell,

Kursbuch, Arbeitsbuch, 2 Kassetten, Glossar.-Max Hueber Verlag, Ismaning, 2003

9. N.Becker, J.Braunert, Dialog Beruf 3, Kursbuch, Kassette.-Hueber, Ismaning, 2003

10. Periodisks preses izdevums „Markt”, Deutsch für den Beruf, Materialien aus der Presse,

Goethe Institut, Inter Nationes, 3mal jährlich

11. Periodiski izdevumi, būvniecības, mašīnzinību, elektrozinību, telekomunikāciju,

inženierekonomikas u.c. specialitāšu studentiem

12. Materiāli internetā eseju rakstīšanai:

http://www.google.lv/search?hl=lv&q=Wie+schreibt+man+ein+Essay&start=10&sa=N

Course prerequisites Secondary school level after centralised exam

Courses acquired before

Course outline

Theme Hours

Negotiating agreement. Reading reports. A plan of the text; conclusions. Exchanges featuring negotiations 2

Reading manuals, instruction booklets, technical brochures, directories, data bases etc. 4

Text on speciality. Exchanges featuring meetings. Meetings, chairing a meeting, taking turns, interrupting . 3

Text on speciality. Introduction into describing tables, charts and diagrams. Describing trends and development . 3

Text on speciality. A report describing tables, charts and diagrams, Science and scientists 8

Interviewing. Employment contract. Remuneration, CV and the letter of application, Exchanges featuring interviews 4

Home reading No.1 4

Text on speciality. Argumentative essay: introduction. Exchanges featuring discussions 2

Ergonomics, health and safety at work, Argumentative essay: structure and language, Exchanges featuring discussions 2

Text on speciality, Essay: The Factors to Consider when Choosing a Job 2

Text on speciality. Discussion based on the text 20

Home reading No.2 4

Text on speciality. Discussion based on the text. Exchanges featuring opinions. 2

Text on speciality. Discussion based on the text Listening comprehension test (10-15 mins). 4

Learning outcomes and assessment

Learning outcomes Assessment methods

The students are able to adequately use terminology and specific grammar constructions, recognize

and define particular terms.

During the classes the students correctly use

terms in speaking and writing activities.

During the assessments they complete tasks for

special vocabulary usage to test terminology

competence.

The students are able to recognize and write essays of different types, and compile technical

documentation.

The students successfully perform all the tasks

connected with writing skills development

having completed three written works per

academic semester.

The students are able to participate in general and profession-oriented discussions, dialogues,

interviews and other types of communicative situations.

During the semester the students take active

part in the speaking activities at the regular and

assessment classes, presenting their thoughts in

a clear comprehensible form, answering

questions

The students are able to recognize, analyze, evaluate and summarize scientific technical information

from various scientific and popular scientific resources.

The students independently select and master

at least two scientific technical texts from

internationally approved sources, prepare

presentation and commentaries on the obtained

information.

The students are able to successfully pass a final exam testing listening, reading, writing and speaking The assessment is carried out according to 10-

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skills. grade scale. Language proficiency level should

correspond to the level B2 according to CEFR.

Study subject structure

Part Semester CP Hours per Week Tests

Autumn Spring Summer Lectures Practical Lab. Test Exam Work

1. * 1.0 0.0 2.0 0.0 *

2. * 1.0 0.0 2.0 0.0 *

RTU Course "General Sociology"

01129 Sociālo zinātņu katedra

General data

Code HSP377

Course title General Sociology

Course status in the programme Compulsory/Courses of Limited Choice

Course level Undergraduate Studies

Course type Academic

Field of study Social Science

Responsible instructor Ozolzīle Gunārs

Academic staff Ozolzīle Gunārs

Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits

Language of instruction LV, RU

Possibility of distance learning Not planned

Maximum auditorium capacity 100

Maximum number of students per semester 200

Abstract The subject teaches about the foundations of a society. It develops the skills necessary for the

analysis of the processes and changes happening in the social reality and of the resulting social

contradictions and problems (class, gender, ethnic and race related). Special attention is paid to

socialization and deviation, as well as to some social institutions: family, religion, education. The

subject matter is analyzed in the context of the history and theories of sociology. In the end of the

course, students are taught the methodology, methodic and techniques of specific sociological

studies.

Goals and objectives of the course in terms of

competences and skills

The aim of the subject is to teach the basic skills necessary for understanding the main regularities

of the functioning of society as a social and cultural system. During the course the students will

gain understanding about the mechanisms of social action, interaction and social relations. Lessons

develop the skills necessary for analyzing and understanding the social processes happening in the

society.

Structure and tasks of independent studies The study course encompasses the following independent tasks: 1. Literature studies; 2. Tests; 3.

Exercises and tests; 4. Seminars and discussions; 5. Practical tasks and exercises.

Recommended literature Ozolzīle G. Socioloģija. Tālmācības studiju kurss. – R.: BVK, 2009.

Ozolzīle G. Socioloģija. Mācību līdzeklis. – R.: RTU, 2006.

Cilvēks un dzīve socioloģijas skatījumā. Zin. red. Zepa B., Zobena A. - R.: LU Socioloģijas

katedra, 1996.

Lakis P. Socioloģija. Ievads socioloģijā. R.: Zvaigzne ABC, 2002.

Mūrnieks E.Vispārējā socioloģija.1,2.daļa. R.: RTU, 1993.

Mūrnieks E. Sabiedrības sociāli ekonomiskā stratifikācija. (Lekciju materiāli “Vispārējās

socioloģijas” kursā). R.: RTU, 2000.

Volkovs V. Socioloģijas teorijas: XIX gadsimts – XX gadsimta sākums. Lekciju kurss. –

Daugavpils: DU Akadēmiskais apgāds „Saule”, 2007.

Briņķis G. Socioloģisko pētījumu organizēšana un metodika. Mācību līdzeklis LSPA studentiem. –

R.: LSPA, 2002.

Pasaules sociologi: vārdnīca. Sast. A.Vilks – R.: SIA „Drukātava”, 2007.

Socioloģijas skaidrojošā vārdnīca. R.: LU Socioloģijas katedra, 1997.

Giddens A. Sociology. 6th edition. – Cambridge: Polity Press, 2009.

Course prerequisites not necessary

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Courses acquired before

Course outline

Theme Hours

1. What is sociology? 2

2. Overview of contemporary theories related to sociology 2

3. Culture and society 2

4. Social structure 2

5. Socialization and deviation 4

6. Stratification and the class structure of society 4

7. Gender discrimination 2

8. Ethnic and racial discrimination 4

9. Social institutions: family, religion, education 4

10. Social changes 4

11. Design of social studies and data collection methods 2

Learning outcomes and assessment

Learning outcomes Assessment methods

Understanding of the main regularities governing the functioning of society as a social and cultural

system.

Group discussion. Exercises.

Ability to recognize and compare the main theories of sociology. Ability to apply these theories to the

analysis of the social processes taking place in the modern society.

Seminar discussion, final test and regular test

questions.

Knowledge of the main social bodies, their structure and the regularities of their functioning. Group discussion, exercise and test questions.

Ability to discern quantitative and qualitative study methods and to assess the representativity of the

gathered data.

Practical task, exercises.

Final assessment of study results. Final test.

Study subject structure

Part Semester CP Hours per Week Tests

Autumn Spring Summer Lectures Practical Lab. Test Exam Work

1. * * 2.0 1.0 1.0 0.0 *

RTU Course "General Chemistry"

14021 Ķīmijas katedra

General data

Code ĶVĶ109

Course title General Chemistry

Course status in the programme Compulsory/Courses of Limited Choice

Course level Undergraduate Studies

Course type Academic

Field of study Chemistry and Chemical Technology

Responsible instructor Kampars Valdis

Academic staff Kampars Valdis

Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits

Language of instruction LV, EN

Possibility of distance learning Not planned

Abstract Thermodynamics. Inner energy of a system and its change. Pure substances, mixtures and

materials. Disperse systems and solutions. Water, its use and significance. General properties of

metals. Electrochemistry. Galvanic cells. Sources of current - batteries, accumulators. Chemical and

electrochemical corrosion of metals. Organic compounds. Classes of compounds.

Goals and objectives of the course in terms of

competences and skills

Student has good knowledge of thermodynamic processes and their use, recognises the different

types of disperse systems in nature and technologies, student has good skills of the topics of the

quality of drinkable water and water for domestic use.

Student has gained knowledge of the characteristics of metals used in technology and domestic

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situations, understands electrochemical processes, can assess the suitability of accumulators and

other chemical sources of current for a specific purpose.

The student has gained knowledge of alternative energy like the use of hydrogen in car engines.

Structure and tasks of independent studies Student prepares the labs independent – develop, execute the protocols and acquire the theoretical

part.

Student prepare independent the home works to several subjects and arrange the colloquiums –

assessment of knowledge about the subject.

Recommended literature 1. McQuarrie, D.A., Rock, P.A. General Chemistry. 2nd ed. New York: W.H.Freeman and

Company, 1997. 876 p.

2. Chang, R. Chemistry. McGraw-Hill Inc. 1991. 516 p.

3. Kokars, V. Vispārīgā ķīmija. Rīga: RTU, KTF, 1999. 209 lpp.

4. Laboratorijas darbi ķīmijā. Augstskolu inženiertehniskajām specialitātēm, vidusskolām un

koledžām. V.Kampars, A.Blūms, V.Brunere, L.Kamzole. Rīga: RTU, 19994. 190 lpp.

5. Laboratorijas darbi ķīmijā. Tehnisko augstskolu studentiem. Sastādījuši: J.Kreicberga,

V.Kampars. Rīga, 2002. 111 lpp.

6. Steigens, A. Nākotne sākas šodien. Rīga: Nordik, 1999. 221 lpp.

7. Ansone,I., Kuhare, G., Puriņa,G. Vides zinību terminu skaidrojošā vārdnīca. LR IZM. Rīga:

Jumava, 1999. 252 lpp.

8. Kļaviņš, M. Vides piesārņojums un tā iedarbība. Rīga: LU, 2009. 199 lpp.

9. Environmental science. L.Ryden, P.Migula, M.Anderson, M.Lehman. Uppsala: The Baltic

University Press, 2003. 824 p.

Course prerequisites „General chemistry’’ or ‘’Chemistry’’ in secondary education programmes

Courses acquired before

Course outline

Theme Hours

Thermodynamics. Inner energy of a system and its change. Heat effects of processes. 2

Pure substances, mixtures and materials (FCIT). Chemical kynetics (FET) 2

Disperse systems and solutions. Acids and bases. Water solutions. pH. 2

Water, its use and significance (FCIT). General properties of metals (FET). 2

Electrochemistry. Galvanic cells. Sources of current - batteries, accumulators. Fuel cells and energetic of hydrogen. 2

Principles of electrochemical corrosion of metals and protections methods. 2

Organic compounds. 2

Inorganic compounds. 2

Seminar about the classes of inorganic compounds. Work safety instruction. 2

Nomenclature of inorganic compounds - colloquium. 2

Chemical termodynamics, heat effect of reactions. 2

Quality of water. Control of pH, conductivity, hardness (FCIT). Chemical properties of metals (FET). 2

Chemical properties of metals (FCIT). General properties of metals - colloquium (FET). 2

Electrochemistry. Galvanic cell, electromotive force. Corrosion of metals. 2

Fuel cell. Fuel cell automobile. 2

Organic compounds 2

Learning outcomes and assessment

Learning outcomes Assessment methods

Student is able:

To evaluate processes of thermodynamics, its energetic effects, to compare energetic capacity of

substances, to evaluate dynamics of chemical equilibrium

Processing and defence of laboratory works

To give examples of disperse systems in domestic situations and technologies Processing and defence of laboratory works

To analyse the quality of drinking water and water for use in technological processes, evaluate its

contamination

Processing and defence of laboratory works

Illustrate properties of metals and their significance in electrochemical processes Processing and defence of laboratory works

To evaluate significance of chemical sources of current and suitability for existing situation Processing and defence of laboratory works

Study subject structure

Part Semester CP Hours per Week Tests

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Autumn Spring Summer Lectures Practical Lab. Test Exam Work

1. * * 2.0 1.0 0.0 1.0 *