RIGA TECHNICAL UNIVERSITY - AIKNCaiknc.lv/zinojumi/en/RtuIntelRobSistM12en.pdf6.4.2 Riga Technical university academic ... To ensure the student's level of training for studies

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 Master Study Programme

Self-assessment report

Riga 2011/2012

1

Content

1 Objectives, tasks and expected results of the study programme ........................................... 3

2 Organization of the study programme .................................................................................... 6

3 Description of the study programme ...................................................................................... 8

4 Approach to expected results evaluation ............................................................................. 11

5 Practical implementation of the study programme .............................................................. 12

5.1 Used study methods and forms .................................................................................... 12

5.2 Involvement of academic personnel in research and its impact on study process ...... 12

5.3 Student involvement in the research activities ............................................................. 13

6 Evaluation of the study programme’s sustainability ............................................................. 13

6.1 Study programme’s compliance with the standard of academic education ................ 13

6.2 Employers’ surveys on employment opportunities of graduates in the future ............ 16

6.3 Comparison to foreign study programmes in “Intelligent Robotic Systems” ............... 19

6.3.1 Comparison to the programme of Sweden Royal institute of technology............ 19

6.3.2 Comparison to the Erasmus programme EMARO ................................................. 21

6.4 Comparison to study programmes in Latvia ................................................................. 24

6.4.1 Latvia University of Agriculture academic master study programme “Information

Technology” ........................................................................................................................... 24

6.4.2 Riga Technical university academic master study programme “Automation and

computer engineering” ......................................................................................................... 26

7 Students ................................................................................................................................. 28

7.1 General information about the students ...................................................................... 28

7.2 Number of dropout students ........................................................................................ 29

7.3 Number of graduates .................................................................................................... 29

7.4 Students’ surveys and their analysis ............................................................................. 29

7.5 Graduates’ surveys and their analysis ........................................................................... 35

7.6 Students’ participation in the study process improvement .......................................... 35

8 Assessment/evaluation of the study programme’s academic personnel ............................. 35

8.1 General information about the academic personnel .................................................... 35

8.2 Academic personnel qualification’s compliance with the objectives ........................... 37

2

8.3 Academic personnel’s policy for the next 6 years ......................................................... 38

9 Financing sources and provision of the infrastructure .......................................................... 38

10 External relations ............................................................................................................... 39

10.1 Collaboration with employers ....................................................................................... 39

10.2 Collaboration with other universities ............................................................................ 40

11 Continuation of studies in the case of study programme cancellation ............................ 40

12 Development plan of the study programme ..................................................................... 41

12.1 SWOT analysis ............................................................................................................... 41

12.2 Activities for development of the study programme for the next 6 years ................... 42

3

1 Objectives, tasks and expected results of the study programme

The aim of the academic master 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 students ability to carry out the scientific work, to participate in local

and international projects and to continue with 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;

Study program includes subjects “Modern

robot systems”, “Autonomous systems and

robots” that promotes the use of systems

approach in design and development of the

robotic systems

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 in the artificial intelligence and

robotics, int. al. “Artificial Intelligence”,

“Programming of Processes”, “Analog and

Digital Signal Filters”, etc. To reflect the

latest technologies and trend in robotics, the

following subjects are taught: “Intelligent

robot motion planning”, “Robot Modeling

and Virtual Prototyping”, “Multiagent

Systems”, “Biologic systems based robots”

and others. Many of these subjects are

brand new in Latvian and in a large majority

of European Union (EU) countries.

Individual and practical work is promoted by

the practical works within the study

subjects, as well as using specific subjects,

for example, “Industrial Process Automation

(study project)”.

3. To provide knowledge and experience

provision for students in several areas

by cooperation with teaching stuff

from different Riga Technical

University (RTU) departments;

The study programme is realized by

cooperation of three faculties: Faculty of

Computer Science and Information

Technology (FCSIT), Faculty of Power and

Electrical Engineering (FPEE), Faculty of

4

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 master

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 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 master thesis development process.

Such combination of particular subjects’

results provides fulfillment of the study

programmes’ common goals and tasks.

6. 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

this project is to synchronize study programs

between the University of Tartu and RTU, as

well as to promote students’ attraction and

exchange.

7. To stimulate in students desire to

participate in implementation of the

scientific research;

The most important means for attracting

students to research is study subject

“Research Methods and Technical Writing”,

as well as developed master thesis and

scientific research work. It is being

5

developed in close collaboration with the

work’s scientific supervisor, such giving

special attention to a particular research

direction chosen by student. In this way

student's scientific research interest and

initiative are specifically supported.

8. To prepare and motivate students for

their doctoral studies.

Study programme includes study subject

“Research Methods and Technical Writing”

that introduces the scientific research

methods, the drawing up research results,

and the formulation of study's objectives.

Master thesis is being developed as scientific

project. Students are actively involved in

scientific research projects. According to

previously mentioned cooperation with the

University of Tartu objectives part of the

study subjects, starting with 2012/13 will be

presented in English, thus contributing

English as the de-facto scientific language

use in an international environment with the

appropriate terminology and forms of

expression.

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

programme, the graduates of the programme will:

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;

know how to identify the robotic systems’ development project objectives that can be

resolved using the available robots and artificial intelligence technology;

6

know how to choose the most appropriate robotic intelligent system solutions to solve

particular problems;

know how to use advanced robotic systems' modeling tools to develop and approbate

solutions for a particular problems;

be able to assess the suitability of artificial intelligence methods for solving particular

problems;

able to express a particular problem in robotic, intelligent and automatic systems'

terms, and vice versa;

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

able to participate in local and international scale research projects devoted to

intelligent robotic systems, as well as to manage them;

able to manage the technical solution’s development or implementation projects;

be prepared for their doctoral 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. This ensures the provision of the knowledge and experience in

relevant areas to students. 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.

To ensure the student's level of training for studies in academic master study programme

"Intelligent robotic systems," from the list below should be acquired following subjects with a

total amount of 8 CP (credit points):

one from:

Subject CP

Electrical Engineering and Electronics 2

Electrical Machines and Actuators 2

Linear and Nonlinear Systems 2

Random Processes 2

Methods of Systems Theory 2

one from:

Subject CP

Object-Oriented Programming 3

Algorithmization and Programming of Solutions 3

Intelligent Drive Control Systems 3

7

one from:

Subject CP

Fundamentals of Artificial Intelligence 3

Discrete Structures of Computer Science 3

If these subjects are not acquired previously, then they by selecting one subject from each list

should be acquired in addition to study program subjects during 2 study semesters starting from

study beginning.

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

together with other RTU academic master 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.

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

universities' realized study programmes in the field of robotics.

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 master 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 master thesis development (for details

see Appendix 1).

8

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:

Subjects of general education

Compulsory subjects: Basics of Occupational Safety, Research Methods and Technical Writing, Analog and Digital Signal Filters, Adaptive Systems in Industrial Electronics, Artificial Intelligence, Multiagent Systems, Autonomous systems and robots, Microprocessors–based Automation Systems, Sensors and sensor networks, Programming of Processes, Modern Production Technologies Basics, Industrial Process Automation (study project);

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: Robotic systems hardware and control:

Adaptive Processing of the Signals;

Industrial Communication Networks;

Embedded systems;

Electro-Magnetic Compatibility in Industrial Electronic Equipment;

Industrial Electronic Equipment;

Biologic systems based robots. Robotic systems design:

Intelligent robot motion planning;

Robot Modeling and Virtual Prototyping;

Scene Analysis and Computer Vision;

Data mining;

Machine learning;

Modern robot systems. 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.

9

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

Identifier Group of subjects CP (%)

A Compulsory study subjects 37 46,25% B Compulsory limited choice subjects 19 23,75%

1. Specializing subjects 15 18,75% 2. Humanitarian and social, educational or

economic and management subjects

4 5,00%

C Free choice subjects 4 5,00% D Master thesis 20 25,00%

Total 80

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

A. COMPULSORY STUDY SUBJECTS 37 CP

1. Analog and Digital Signal Filters 3 CP

2. Adaptive Systems in Industrial Electronics 3 CP

3. Microprocessors–based Automation Systems 3 CP

4. Research Methods and Technical Writing 2 CP

5. Basics of Occupational Safety 1 CP

6. Sensors and sensor networks 4 CP

7. Artificial Intelligence 4 CP

8. Programming of Processes 4 CP

9. Autonomous systems and robots 3 CP

10. Modern Production Technologies Basics 4 CP

11. Industrial Process Automation (study project) 2CP

12. Multiagent Systems 4CP

B. COMPULSORY LIMITED CHOICE SUBJECTS 19 CP

1. Specializing subjects 15 CP

Robotic systems design

1.1. Intelligent robot motion planning 3 CP

1.2. Robot Modeling and Virtual Prototyping 3 CP

1.3. Adaptive Processing of the Signals 3 CP

1.4. Industrial Communication Networks 3 CP

1.5. Scene Analysis and Computer Vision 3 CP

1.6. Data mining 3CP

1.7. Machine learning 3CP

1.8 Modern robot systems 3CP

1.9 Biologic systems based robots 3CP

Robotic systems hardware and control

1.1. Adaptive Processing of the Signals 3 CP

1.2. Industrial Communication Networks 3 CP

1.3. Intelligent robot motion planning 3 CP

1.4. Robot Modeling and Virtual Prototyping 3 CP

1.5 Embedded systems 3CP

1.6 Electro-Magnetic Compatibility in Industrial Electronic Equipment 3CP

1.7 Fundamentals of Industrial Electronics 3CP

10

1.8 Modern robot systems 3CP

1.9 Biologic systems based robots 3CP

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

4 CP

2.1. Industrial Relations 2 CP

2.2. Business Sociology 2 CP

2.3. Social Psychology 2 CP

2.4. Ethics 2 CP

2.5. Presentation Skills 2 CP

2.6. European Classical Philosophy 2 CP

2.7. Pedagogy 2 CP

2.8. Psychology 2 CP

2.9. Small Business Management 2 CP

2.10. Organization of Small Business 2 CP

2.11. Planning of Enterprise Operation 2 CP

2.12. New Product Marketing 2 CP

2.13 Commercial Operations 2 CP

C. FREE CHOICE SUBJECTS 4CP

E. FINAL EXAMINATIONS 20 CP

1. Master thesis 20 CP

Total 80 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; 6) exams, tests and master 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 are used traditional modern presentation tools – data/video projectors and

presentation software.

11

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 feedback giving 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 the 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 are organized robots building

seminars in which 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 is 1/3 and the total number of applications has reached more

than 90. It is characterized by high students’ interest in these seminars (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:

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.

Master thesis is also evaluated in 10 grade scale.

12

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 are 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.

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's and

bachelor's level study students. The same typical example is the Interreg cooperation project

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

13

with students, was created a robotic system that uses advanced technical solutions to achieve

high mobility.

In addition to this, together with the students is carried out collaborative project ICT-DCNet

devoted to study programs synchronization with the University of Tartu, as well as attraction of

new students to robotics studies.

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

robotics workshops designed to motivate students for studies and to actract new students.

It should be emphasized that the number of study programmes teachers have 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

Preparation of students for research work is done primarily using the study subject's "Research

Methods and Technical Writing" given knowledge and skills, as well as using master thesis,

which is designed as a scientific research work about a particular topic.

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:

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 master 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

14

promote these solutions using organizations’ labor productivity increase and growth, as well as to develop in the students ability to carry out the scientific work, to participate in local and international projects and to continue with doctoral studies.

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

Student gets Master Degree of Engineering Sciences in Intelligent Robotic Systems 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 involves deeply theoretical subjects

and shows how this theoretical knowledge appears in

the newest industrial, intelligent and autonomous

robotic systems’ technologies. For example, adaptive

processing of the signals and data (“Adaptive Systems

in Industrial Electronics”, Adaptive Processing of the

Signals), Multiagent paradigm (“Multiagent systems”),

Autonomous systems’ paradigm (“Autonomous

systems and robots”), biorobotics (“Biologic systems

based robots”).

Study programme includes also study subject “Research Methods and Technical Writing” that prepares student (together with other subjects) for developing their master theses and further scientific activities.

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 the credit points is 80 CP; for each subject and for master thesis there is set a particular 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 master 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”);

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.

15

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”).

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

In the study programme there are not more than five compulsory subjects in one semester.

9. – 19. Bachelor studies n/a

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.

Admission requirements provide that in the programme are enrolled students who have obtained the following bachelor’s degrees: Bachelor’s degree in Computer Control and Computer Science, Electrical Engineering, Mechanical Engineering or Bachelor’s degree of Nature Sciences in Mathematics, Physics, or Professional Bachelor’s Degree to previously mentioned scientific areas corresponding practical areas of activity or to it comparable higher education.

20. Master studies give in depth theoretical knowledge and research skills in the selected area of scientific research.

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.

21. The aim of the master studies is to prepare students for independent scientific research.

Students study „Research Methods and Technical Writing „ and use the acquired methods in their master thesis development. The subject “Industrial Process Automation (study project)” promotes student understanding creation about theoretical research areas and their practical usage possibilities In addition, in several courses research methods must be used to complete individual assignments.

22. The most important task of the master studies is to promote student’s theoretical skills and research skills individual usage for problem solving.

In the study programme almost all subjects includes practical or laboratory works, where students show their skills to use theoretical knowledge independently. The same applies to self-dependent assignments.

23. The volume of the master study program is 80 CP; from them 20 CP is Master Thesis. Master Thesis is a research work in the selected scientific area.

The volume of the study program is 80 CP. Master thesis is 20 CP. Master thesis is research work in engineer sciences, where analytically, experimentally and practically are evaluated and integrated existing scientific and practical methods, methodologies, technologies, development tools, computer systems

16

and languages for solving the tasks in the robotics, information and communication technology areas.

24. Master study program’s compulsory subjects include research of the theoretical knowledge in selected scientific area (at least 30 CP) and theoretical knowledge approbation (at least 15 CP).

Courses, where dominates research of the issues: Analog and Digital Signal Filters (3CP), Research Methods and Technical Writing (2CP), Artificial Intelligence (4CP) Autonomous systems and robots (3CP), Multiagent Systems (4CP), Sensors and sensor networks (4CP), Modern Production Technologies Basics (4CP) Total 24 CP Courses, where part of theoretical knowledge is approximately equal with part of the knowledge approbation: Adaptive Systems in Industrial Electronics (3CP), Microprocessors–based Automation Systems (3CP), Programming of Processes (4CP), Industrial Process Automation (study project) (2CP), Basics of Occupational Safety (1CP) Total 13 CP (6,5 CP – for theoretical part, 6,5 CP for approbation) Courses, where dominates theoretical knowledge’s approbation (compulsory elective) – 15 CP. Thus the in the study program’s compulsory courses 30,5 CP correspond to theoretical knowledge and 21,5 CP corresponds to theoretical knowledge approbation.

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 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_to_to

p_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.

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

http://www.researchandmarkets.com/reports/582349/educational%20and_entertainment_robot_market.pdf

http://www.researchandmarkets.com/reports/582349/educational%20and_entertainment_robot_market.pdf

17

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

Pease estimate a potential employee in 10 point scale:

0

5

10

15

ABB Latvija Terra Virtuala Accenture

http://www.worldrobotics.org/uploads/media/2011_Executive_Summary.pdf

res:////ld1062.dll/type=1_word=metal-fabricating%20industry

18

Please estimate importance of the mandatory courses for your enterprise:

Please estimate importance of the partially elective courses:

0

2

4

6

8

10

12


Analog and Digital Signal Filters

Adaptive Systems in Industrial Electronics

Microprocessors–based Automation Systems

Research Methods and Technical Writing

Basics of Occupational Safety

Sensors and sensor networks

Artificial Intelligence

Programming of Processes

Autonomous systems and robots

Modern Production Technologies Basics

Industrial Process Automation (study project)

Multiagent Systems

0

2

4

6

8

10

12


Intelligent robot motion planning

Robot Modeling and Virtual Prototyping

Adaptive Processing of the Signals

Industrial Communication Networks

Scene Analysis and Computer Vision

Data mining

Machine learning

Modern robot systems

Biologic systems based robots

Embedded systems

Electro-Magnetic Compatibility in IndustrialElectronic EquipmentFundamentals of Industrial Electronics

19

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 master 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). In section 6.3.1. the comparison of the study programme with Sweden Royal institute of technology master study programme “Systems, Control and Robotics” is shown. Section 6.3.2. contains the comparison with ERASMUS study programme EMARO (European Master of Advanced Robotics) that is carried out in several countries:

Ecole Centrale de Nantes - France, the coordinator of the programme; Warsaw University of Technology – Poland; University of Genova – Italy; Asian Institute of Technology – Thailand; Faculty of Science and Technology in Keio University – Japan; Shanghai Jiao Tong University – China;

6.3.1 Comparison to the programme of Sweden Royal institute of technology

Reference: http://www.ee.kth.se/systems/curriculum_08.php (quoted 27.04.2010.)

For the purpose of the comparison the credit points in the table below are given according to

the ECTS (European Credit Transfer and Accumulation System). The comparison is made against

the Sweden Royal institute of technology (SRIT) programme “Systems, Control and Robotics”

compulsory part.

In the table below the correspondences of the study courses are graphically represented. Solid

lines represent the correspondences between compulsory courses. Dotted lines represent the

correspondences between courses of limited choice.

SRIT has six compulsory courses with a total amount of 39 CP (ECTS 58,5). RTU compulsory

courses comprise 37 KP (ECTS 55,5) that shows a very similar distribution of load. RTU

programme offers two specializations (The control of robotic systems and The hardware of

robotic systems) therefore the study volume is distributed between more study courses,

although the two study programmes are very similar content-wise.

For example, the SRIT course “Robotics and autonomous systems” and course “Signal theory” in

RTU programme are included in bachelor studies. Therefore the main focus in the RTU master

study programme is dedicated to the artificial intelligence technologies used in robotics. It

explains the greater count of credit points. The RTU programme study course “Analog and

Digital Signal Filters” is the next stage after bachelor studies dedicated to the signal processing.

http://www.ec-nantes.fr/version-anglaise/

http://www.pw.edu.pl/english

http://www.unige.it/

http://www.ait.ac.th/

http://www.st.keio.ac.jp/

http://www.sjtu.edu.cn/

http://www.ee.kth.se/systems/curriculum_08.php

20

Taking into account that RTU provides two specializations the alternatives to SRIT study courses

“Image analysis and computer vision” and “Hybrid and embedded control systems” are provided

as courses of limited choice i.e. according to student specialization. However, in the context of

each specialization almost direct correspondence is provided. The difference of credit points is

related to the fact that, although the contents are mostly the same, in RTU programme the

material is divided between several courses.

Systems, Control and Robotics (Royal institute of technology)

Correspondence Intelligent Robotic Systems (Riga Technical university)

ECTS CP*1,5

Subject Subject ECTS CP*1,5

7,5 Signal theory Analog and digital signal filters 4,5

7,5 Scientific programming Adaptive systems in industrial

electronics 4,5

7,5 Management of projects Microprocessors – based

automation systems 4,5

6 Image analysis and computer vision Research methods and

technical writing 3

7,5 Hybrid and embedded control systems

Basics of occupational safety 1,5

7,5 Applied estimation Sensors and sensor networks 6 7,5 Theory and methodology of science Artificial intelligence 6 7,5 Robotics and autonomous systems Programming of processes 6 Autonomous systems and

robots 4,5

Modern production technologies basics

6

Industrial process automation (study project)

3

Multiagent systems 6 6 Embedded systems 4,5 Scene analysis and computer

vision 4,5

SRIT study course „Scientific programming” has a title that is not commonly used in Latvia.

However, the contents of the course provide the learning of software development tools and

the programming languages C and C++. These programming languages are closely regarded in

RTU study course “Programming of processes” that, in addition to C and C++ basics taught also

in bachelor level, provides deeper knowledge for solving different specific programming tasks.

Additionally the mathematical basics of automatic control and the regulation methods of control

algorithms are taught in study course “Microprocessors – based automation systems” making

these courses closely related.

The most significant differences are between study courses “Management of projects” (SRIT)

and “Basics of occupational safety” (RTU). In compliance with the RTU senate resolution “Basics

of occupational safety” is a compulsory course for all master study programmes. In contrast to

21

this, the SRIT does not have such course. A different situation is with study course

“Management of projects” that is included as “humanitarian” courses in RTU. The student in

RTU has a limited choice between “management” and “economics” courses. Although there is

no direct correspondence, content-wise similar courses are taken by RTU students in two

semesters.

The main emphasis of SRIT course “Applied estimation” is on data filtering to increase the

believability of the acquired data. Topics like Kalman filters, Extended Kalman filters, particle

filters etc. are considered. It shows that the essence of this course is data filtering. Filtering

techniques are taught in RTU study course “Analog and digital signal filters” and therefore the

content correspondence is provided. Part of the approaches are taught in course “Adaptive

systems in industrial electronics” that places the emphasis on optimal control methods, which

are the main driving force of filtering techniques that works with the acquisition of believable

measurements and estimations for precise system control. Therefore the listed topics are taught

even more detailed in RTU than in the programme offered by SRIT. The final work – the master

thesis – is very similar in both programmes by requirements and credit point amount (30 ECTS).

The part of limited choice courses in RTU is a little bit narrower but it provides distinct

specializations. Opposite to that, the SRIT provides only the set of courses, and student has to

fulfill predetermined credit points. Therefore the self-initiative of the student is stimulated but

there is no control and systematic advancement. For example, student in SRIT can choose

courses like “Mathematical models” (in RTU bachelor – Mathematics in machine science,

Numerical methods, Kinematics of the robots) and “Artificial intelligence” that are compulsory

courses in RTU.

Both study programmes have very similar requirements of the education necessary for the

programmes.

6.3.2 Comparison to the Erasmus programme EMARO

Reference: http://emaro.irccyn.ec-nantes.fr/study_programme.php (quoted 27.04.2010.)

For the purpose of the comparison the credit points in the table below are given according to

the ECTS (European Credit Transfer and Accumulation System). The comparison is made against

the EMARO study programme “European Master of Advanced Robotics” compulsory part.




EMARO has six compulsory courses with a total amount of 18,7 CP (ECTS 28). RTU compulsory

courses comprise 37 CP (ECTS 55,5). The total amount of credit points are identical (ECTS 120)

but the EMARO programme places the main attention on free choice courses. EMARO has three

specializations according to master thesis areas – ECN (Robot mechanics), WUT (Robot control)

and UG (Intelligent robots). RTU programme has two specializations: The control of robotic

systems and The hardware of robotic systems. Therefore in the comparison of programmes it

can be seen that, although the content of the programmes is very similar, in RTU programme

http://emaro.irccyn.ec-nantes.fr/study_programme.php

22

the study material is distributed between more courses. Direct correspondence can be seen

between courses:

EMARO RTU

Group Project Industrial process automation (study project) Research planning Research methods and technical writing Robot programming methods


Programming of processes Industrial communication networks

The difference in credit points can be explained with the distribution of study material between

humanitarian and engineering science subjects – that is, opposite to the EMARO practice, in RTU

project management theory is presented in “humanitarian” group. Therefore the main emphasis

in the project is to acquire practical skills.

Similar situation is with the EMARO course "Research planning" - in RTU the presentation skills are excluded from the course material. This part of the content is presented in limited choice humanitarian courses. The contents of course "Robot programming methods" in RTU programme is divided among the

three courses, where "Sensors and sensor networks" is devoted to low-power wireless

computer networks, "Modern production technologies” considers industrial process control and

the use of programmable equipment in production, but the “Programming of processes” mainly

focuses to the computational challenges in distributed systems or parallel tasks in one system.

23

Systems, Control and Robotics (Royal institute of technology)


ECTS CP*1,5

Subject ECTS CP*1,5

Subject

5 Group Project Industrial process automation (study project)

3

4 Research planning Research methods and technical writing

3

5 Robot programing methods Sensors and sensor networks 6

6 Modelling and control of manipulators

Programming of processes 6

4 Local language Artificial intelligence 6

5 Mechanical design methods in robotics

Autonomous systems and robots

4,5


6

Adaptive systems in industrial electronics

4,5

Multiagent systems 6 Basics of occupational safety 3 Analog and digital signal filters 4,5

Robot modeling and virtual prototyping

4,5

EMARO course "Mechanical design methods in robotics" is dedicated to the CAD and CAM tools,

as well as the preparation of documentation for the robot mechanical unit design. Relevant

courses in the RTU can be found in the optional course section. However, the same topics are

partly covered in the course "Robot modeling and virtual prototyping", as well as bachelor

courses "Robot kinematics" and "Robot control systems". The exception is the topics about CAD

and CAM tools that are not included in compulsory and limited choice course sections.

The contents of EMARO course “Modeling and control of manipulators” almost exactly

corresponds to the RTU limited choice course "Robot modeling and virtual prototyping ", in

which the simulation tools accessible in RTU laboratory are used for the control of one or more

manipulators in industrial process. The programming of manipulators and other programmable

devices is considered in the course "Modern production technology basics."

Despite the fact that a number of RTU courses have no direct correlation to the compulsory part

of the EMARO programme, a direct matches can be found in the limited choice course section.

For example:

EMARO (subjects of limited choice) RTU (subjects of limited choice and compulsory subjects)

Signal processing Analog and digital signal filters Computer vision Scene analysis and computer vision Neural networks for classification and Machine learning

24

identification Data mining Artificial intelligence Artificial intelligence Embedded systems Embedded systems Mobile robots Autonomous systems and robots Biologically inspired robots On biological systems based robots Group theory and its application in robotics Multiagent systems Parallel and distributed processing Programming of processes

It can be seen that the main difference between the programmes is not the content, but the

division between compulsory and optional courses, and also between specializations, which

require a slightly different course distribution.

The final work - Master thesis in the sense of requirements and credit point count are very

similar in both programmes (30 ECTS). The main difference is that the EMARO programme

requires two advisors.

6.4 Comparison to study programmes in Latvia

6.4.1 Latvia University of Agriculture academic master study programme

“Information Technology”

Reference: http://www.llu.lv/?mi=321#top_menu (quoted: 15.10.2011.)




http://www.llu.lv/?mi=321#top_menu

25

Information Technology (Latvia University of Agriculture)


CP Subejct Subject CP 2 Robot cooperation Multiagent systems 4

4 Production computer control systems

Autonomous systems and robots 3

Microprocessors – based

automation systems 3

Modern production technologies

basics 4

3 Parallel and divided real-time systems

Programming of processes 4

2 Artificial neural networks Machine learning 3

2 Artificial neural networks in control systems

Data mining 3

2 Technical writing and professional communication

Research methods and technical writing

2

2 Research methodology Industrial relationships 2 4 System analysis and modeling Robot modeling and virtual

prototyping 3

3 Modeling of biosystems 2 The design of microcontroller

control systems Microprocessors – based

automation systems 3

2 Computerized measure systems Sensors and sensor networks 3

The volume and time distribution of the LUA programme is similar to programme “Intelligent

robotic systems”, if the full-time studies are compared (LUA also implements part-time studies).

Unlike the programme implemented by the RTU, in LUA greater emphasis is placed on

information systems and their applications in various agricultural sectors.

Similarly to the RTU, the LUA offers two specializations: "Information Technology", which places

greater emphasis on general-purpose systems, and "IT biosystems", which stresses the

information and communication technology applications in agriculture. The second

specialization includes some specific courses like "Biological process modeling", "The basics of

biosystems functioning" etc., that corresponds to the LUA main directions of studies.

In the IT field also general-purpose courses specific for information systems are presented, such

as "E-business and e-governance systems", "Software product quality assurance", "Database

design technology", "Object-Oriented System Design", which characterizes the programme as a

typical study programme in the field of information technology. This explains and justifies the

differences between the programmes. It must be emphasized that in Latvia there are very few

study programmes at the master level in the field of industrial automation and robotics. Study

programmes with an emphasis on robotics and artificial intelligence are also rare in Europe, and

are considered to be a modern trend in the world. Therefore the existing programmes have

several significant differences. In the LUA programme there are almost no courses dedicated to

hardware and electronics. By contrast, the RTU programme has only few courses dedicated to

the system analysis, system theory and software design.

26

The LUA study programme is much closer to the RTU study programmes "Computer systems"

and "Information Technology".

Similar results of the comparison can be obtained by comparing the programme with the study

programmes of other Latvian universities. It is obvious that the RTU study programme

“Intelligent robotic systems” is modern (see previous sections) and is currently in a pronounced

position among other study programmes in Latvia.

6.4.2 Riga Technical university academic master study programme “Automation

and computer engineering”

Reference: https://info.rtu.lv/rtupub/prg?ukNoteikId=2520 (quoted: 15.10.2011)




Although the programmes are being implemented at the same university, there are several

differences between them. The amount of specialized and compulsory courses is different, i.e.

"Automation and Computer Engineering" (ACE) has 43 CP, but "Intelligent Robotic Systems"

(IRS) - 37 CP. Thus, the volume of the specialized courses is also different. ACE study programme

includes three specializations: Image processing and computer graphics, Computer engineering

and computer networks, Computer control systems. The IRS study programme includes only two

specializations: Control of robotic systems and Hardware of robotic systems.

In the compulsory part of ACE study programme a significant emphasis is put on computer

graphics and computer vision. The main emphasis of IRS programme is on the applications of

artificial intelligence in industry.

ACE study programme does not contain courses that are dedicated to research methods,

presentation of scientific work and working in groups. Instead, greater emphasis is put on the

Automation and computer engineering (Riga Technical university)


CP Subject Subject CP 3 Scene analysis Scene analysis and computer vision 3 4 Computer vision

4 Computer aided digital control systems and their design


4

3 Programmable logic controllers PLC (special course)

Microprocessors-based automation systems

3

4 Computer networks and systems architecture

Industrial communication networks 3

4 Signal coding and processing systems Analog and digital signal filters 3

2 Electromechanic devices of robots Fundamentals of industrial

electronics 3

3 Digital control of drive (special course) Industrial process automation

(study project) 2

1 Basics of occupational safety Basics of occupational safety 1

https://info.rtu.lv/rtupub/prg?ukNoteikId=2520

27

programme-specific courses - applications of electronic systems in medicine, applications of

expert systems, etc. To some extent they make the study programme specific in Latvia.

In contrast to the ACE programme, the IRS study programme contains the courses that improve

the work in groups and student research capabilities. The IRS programme puts significantly

greater emphasis on artificial intelligence technologies and their applications in industrial

automation systems. Thus, although the programmes have much in common, they differ greatly

in the way of considered technological applications.

Therefore it can be concluded that the IRS programme has a certain place in the context of the

RTU study programmes.

Overall, after performing the comparison of study programme with other study programmes, it

can be concluded that the programme "Intelligent robotic systems" is modern and follows the

latest trends outside Latvia, and also is sufficiently specific in Latvia. Therefore it can be said that

it has its own well-defined place between other engineering science study programmes.

28

7 Students

7.1 General information about the students

In the first study year 8 students have entered the study programme. In the second study year

the count is 3. Two of the entrants have entered the student mobility programme ERASMUS.

One of them is currently studying in Daimler Benz research centre in Germany. One of the

students has received ESF stipend that shows excellent results in studies.

Two of the students have left the studies due to changing the residence outside the Latvia. Thus,

there are currently 9 active students enrolled in the programme. Three of them are contestants

of Latvian and international robotic competitions with several years of experience. One of the

students has won prizes in the largest robot competitions in Europe and U.S.

In the course “Machine learning" two students have been attracted from the Faculty of Power

and Electrical Engineering. One of the students is involved in the ERDF co-financed project

"Development of intelligent multiagent robotics system technology" (others could not be

involved because of participation in similar projects in other research institutions). Two of the

students come from the University of Latvia, three from the RTU Faculty of Power and Electrical

Engineering and one from the RTU Faculty of Transport and Mechanical Engineering. The rest

are Faculty of Computer Science and Information Technology students.

Thus, it is evident that because of its specifics the study programme can attract students from

different study institutions and departments. It should be emphasized that it is not a common

practice for the students to enter other Master study programmes, when there is a

corresponding continuation available to their bachelor study programme. It can be regarded as

a significant positive trend. The small number of students can be explained by the above-

mentioned factors, as well as the fact that the total number of entrants in master level academic

study programmes has decreased in year 2011/2012 compared to the previous years.

Study year Number of the entrants

Number of dropout students

Gone on academic vacation

Graduates

2010/2011 8 2 0 0

2011/2012 3 0 0 0

In the next study year autumn semester 5 exchange students from University of Tartu are

expected according to the contract and agreement in the collaboration project.

Taking into account entrants in the corresponding bachelor study programme and the small

count of dropout students, at least 8-10 students in the following years are predicted.

29

7.2 Number of dropout students

Currently two students that have changed their residence to other countries have dropped out.

7.3 Number of graduates

There are no graduates from the program yet. We expect 6 graduates in summer of 2012 and 3

graduates in 2013. After year 2013 the number of graduates will increase as currently during the

collaboration project with University of Tartu the informative campaign is planned that will

allow to attract more 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 Analog and Digital Signal Filters









Procesu programmēšana

Windows Workflow Foundation tehnoloģijaspamati,



30

Lecturer covered all of the topics and used time efficiently

Lecture topics were well structured and covered understandably

0

0,5

1

1,5

2

2,5

3

3,5

4

4,5Analog and Digital Signal Filters










Windows Workflow Foundation tehnoloģijas pamati,



0

1

2

3

4

5

Analog and Digital Signal Filters













31

Lecturer was well prepared

Lecturer effectively used audio visual tools

0

0,5

1

1,5

2

2,5

3

3,5

4














0

0,5

1

1,5

2

2,5

3

3,5

4














32

Lecturer's speech was clear and understandable

The recommended literature was available and helped to learn the subject

0

1

2

3

4

5

6Analog and Digital Signal Filters










Windows Workflow Foundation tehnoloģijaspamati,Intelligent robot motion planning


0

1

2

3

4

5














33

Lecturer was available for consultations

Lecturer attended lectures without significant delays

0

1

2

3

4

5














0

1

2

3

4

5

6Analog and Digital Signal Filters













34

Study materials were available in e-learning environment

The covered topics were not overlapping with other subjects

0

0,5

1

1,5

2

2,5

3

3,5

4














0

0,5

1

1,5

2

2,5

3

3,5

4














35

7.5 Graduates’ surveys and their analysis

The study program 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 continuing education possibilities.

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.

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 courses, for

example, “Machine learning”, that were supplemented with practical works on

computers after student suggestions during the course implementation. In this way the

student interest in the course and understanding of course contents has remarkably

increased.

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

The role in the course implementation of

study program “Intelligent robotic systems”

1. Dr.habil.sc.ing.

Jānis Grundspeņķis

+ Professor (elected) Responsible instructor: „Artificial intelligence”,

„Multiagent systems”

36





2. Dr.habil.sc.ing. Leonīds

Ribickis

+ Professor (elected) Responsible instructor: „Adaptive signal

processing”, „Modern production technologies

basics”, „Industrial process automation (study

project)”, „ Electro-Magnetic Compatibility in

Industrial Electronic Equipment”

3. Dr.sc.ing. Iļja Galkins + Professor (elected) Responsible instructor: „Analog and digital

signal filter”

4. Dr.sc.ing. Mihails

Gorobecs

+ Researcher (elected)

Responsible instructor: „Adaptive systems in

industrial electronics”

5. Dr.habil.sc.ing. Ivars

Raņķis

+ Professor (elected) Responsible instructor: „Microprocessors-based

automation systems”, „Industrial electronics

basics”

6. Dr.sc.ing. Agris

Ņikitenko

+ Docent (elected) Responsible instructor: „Intelligent robot

motion planning”, „Machine learning”,

„Autonomous systems and robots”, „Data

mining”, „Modern robot systems” (lecturer

Mikus Vanags)

7. Dr.habil.sc.ing.

Aleksandrs Glazs

+ Professor (elected) Responsible instructor: „Scene analysis and

computer vision”

8. Dr.habil.sc.ing. Zigurds

Markovičs

+ Professor (elected) Responsible instructor: „Robot modeling and

virtual prototyping”

9. Dr.sc.ing. Renāte

Strazdiņa

+ Lecturer (elected) Responsible instructor: „Research methods and

technical writing”

10. Dr.chem. Valentīna

Urbāne

+ Assoc. professor Responsible instructor:”Basics of occupational

safety”

11. Aivars Pumpurs - Pract. docent Responsible instructor: „Industrial

communication networks”

12. Dr.habil.sc.comp.

Valērijs Zagurskis

+ Professor (elected) Responsible instructor: „Sensors and sensor

networks”, „Embedded systems”

13. Dr.sc.ing. Uldis

Sukovskis

+ Vice-Rector for Academic Affairs

Responsible instructor: „Programming of

processes”

14. Valērijs Kuņickis - Docents Responsible instructor: „Industrial

relationships”, „Business sociology”

15. Sandra Gudzuka - Pract. docent Responsible instructor: „Social psychology”

16. Dr.soc.Gunārs Ozolzīle + Assoc. professor Responsible instructor: „Ethics”, „European

classical philosophy”

17. Zanda Lejniece - Pract. docent Responsible instructor: „Presentation skills”

18. Dr.paed. Anita Lanka + Professor (elected) Responsible instructor: „Pedagogy”

19. Dr.psych. Airisa

Šteinberga

+ Docent (elected) Responsible instructor: „Psychology”

20. Judīte Jakubāne - Pract. docent Responsible instructor: „Small business

management”

21. Dr.oec. Jānis Zvanītājs + Professor (elected) Responsible instructor: „Organization of small

business”, „Commercial operations”

22. Jānis Mežiels - Pract. docent Responsible instructor: „Planning of enterprise

operation”

23. Dr. habil.oec Anatolijs

Magidenko

+ Professor (elected) Responsible instructor: „New product

marketing”

24. Dr.habil.sc.ing. Jānis + Professor (elected) Responsible instructor: „On biological systems

37





Vība based robots” (in cooperation with Agris

Nikitenko)

Academical personnel with doctor degree:

Total Number of Conductors

With habilitate doctor degree

With doctor degree

Together with doctor degree

Total (%)

24 8 10 18 75%

Basic employment at RTU and elected:


Basic employment at RTU

Basic employment at RTU elected

Basic employment at RTU (%)

Basic employment at RTU elected (%)

24 24 15 100% 62,5%

Academical positions at RTU (elected):


Professors Assoc. professor Docent Others

24 11 0 2 2

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

38

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

As mentioned above 79% of all academic staff has a doctor degree, 30% 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.

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,

39

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

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.

40

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

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

In the case, if some unforeseen circumstances terminate the implementation of the academic

master programme "Intelligent robotic systems" (DMR0), the Faculty of Computer Science and

41

Information Technology will allow the students to continue their master studies in the academic

master study programme "Computer systems" (DMD0). See 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;

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;

The involvement of several students in scientific research facilitates better cooperation, as well as the improvement of academic personnel and potentially long term development of the study programme;

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

Relatively small count of students;

The currently accepted students are not from the appropriate program in bachelor level. This requires correction of some subjects according to the students level of knowledge and experience;

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

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

No doctoral study programme that directly corresponds to this programme is provided;

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 work for the increase of study programme modularity and more intensive use of English;

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

42

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;

To attract the additional funds for scientific research that would motivate the students to choose this study programme.

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 to accept at least 5 students from Estonia in autumn semester

Starting with autumn 2012, at least 5 students from Estonia

2. To attract EU funding for further development of the programme

In year 2012/2013 one project that lasts several years

3. Starting with year 2013, when programme receives students from the bachelor study programme with the same title, to provide at least 8-15 students per year.

Starting with year 2013, at least 8 students per year

4. To implement most of the specializing study courses in English. Year 2013-2015

5. To organize study courses of one semester in the form of modules and gradually change to the module type programme organization.

Year 2014-2016

43

Appendixes

1. Appendix – Material technical base / Laboratories (See documentation in Latvian)

2. Appendix – Confirmation of study possibilities in the case of study programme cancellation

(See documentation in Latvian)

3. Appendix – The list of academic personnel (See documentation in Latvian)

4. Appendix – CV of academic personnel

5. Appendix – Descriptions of study courses

6. Appendix – The list of study courses and responsible instructors (See documentation in

Latvian)

7. Appendix – Summary of scientific work of academic personnel (See documentation in

Latvian)

8. Appendix – ERASMUS contract copy with the University of Tartu (See documentation in

Latvian)

44

Appendix 4 – CV of academic personnel

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

45

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 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 -

46

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

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.

http://www.balticrobotsumo.org/

http://www.robotika.lv/

47

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.

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

48

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

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 ___________________

49

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

50

“Przeglad Elektrotechniczny” (“Electrical Review”), ISSN 0033-2097, Vol. 83, Nr. 10/2007, pages 108-111, 2007.

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

51

Dzīves un darba gājums ( 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:

52

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)

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)

53

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)

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

54

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:

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

55

CURRICULUM VITAE

Last name: Gorobetz

Name: Mikhail

Date of birth: January 3, 1983

1. Education Educational institution: Riga Technical University

Date: from (mm/yyyy)

to (mm/yyyy)

from (09/2005)

to (10/2008)

Doctoral Studies

Faculty of Power and Electrical Engineering.

Main field of study: Electrical Technology and Automation

Academic degree Doctor of Science in Electrical Engineering

Diploma Nr. D Nr. 0155

Doctorate research work Research of Genetic Algorithms for Optimal Control in Electric Transport

Educational institution: Riga Technical University


to (mm/yyyy)

from (09/2003)

to (07/2005)

Master Studies

Faculty of Computer Science and Information Technology.

Main field of study:: “Information Technology”

Academic degree Master of Engineering Science in Information Technology

Diploma Nr. MDA Nr.1099

Master Thesis Multi-agent Approach for Supporting Production Planning in

Geographically Distributed Supply Chain

Educational institution: Riga Technical University


to (mm/yyyy)

from (09/2000)

to (07/2003)

Bachelor Studies

Faculty of Computer Science and Information Technology.

Speciality: “Information Technology”

Academic degree Bachelor of Engineering Science in Computer Science and Information

Technology

Diploma Nr. Nr 015370

2. Additional Education Educational institution: Riga Technical University


to (mm/yyyy)

from (02/2005)

to (05/2005)

Activity: Research on Master Thesis "Multi-agent Approach for Supporting

56

Production Planning in Geographically Distributed Supply Chain".

3. Language Knowledge (1 – poor; 5 – fluent) Language Reading Speaking Writing

English 5 5 5

Latvian 5 5 5

Russian 5 5 5

Italian 3 2 2

4. Working Experience Place: Riga Technical University, Faculty of Power and Electrical Engineering,

Institute of Industrial Electronics and Electrotechnics

Position: Senior Researcher


to (mm/yyyy)

from (01/2009)

to (now)

Place: Riga Technical University, Faculty of Power and Electrical Engineering,


Position: assistant professor


to (mm/yyyy)

from (03/2011)

to (now)

Place: Riga Technical University, Faculty of Transport and Mechanical

Engeneering, Railway Transport Institute

Position: assistant professor


to (mm/yyyy)

from (11/2011)

to (now)

Place: Riga Technical University, Faculty of Transport and Mechanical

Engeneering, Railway Transport Institute

Position: Lecturer


to (mm/yyyy)

from (01/2008)

to (12/2008)

Place: Riga Technical University, Faculty of Power and Electrical Engineering,


Position: Researcher


to (mm/yyyy)

from (05/2006)

to (12/2008)

5. Pedagogical activity Subject: EEI500. Adaptive signal processing. 3KP

Time period : 2010.-2012.

Subject: EDR500. Locomotive Power Drives and Electrical Equipment. 4KP

Time period: 2010.-2012.

Subject: EEI689 Programming of Industrial Robot Controllers. 3KP


57

Subject: EEI354 Adaptive Systems in Industrial Electronics. 3KP


Subject: EDR577 Digital Methods and Engineering Programs for Transport Tasks 4 KP


Subject: EEI482 Logistics Methods in Industrial Electronics and Power Supply 2 KP

Time period: 2005.-2008. Pedagogical activity during doctoral studies

Subject: EEI481 Programming Technology in Industrial Electronics 3 KP


Subject: EEI352 Programming Languages 3 KP


Subject: EDE400 Visual Programming for Transportation Problems 3 KP


Subject: EDE506 Object Oriented Programming for Transportation Problems 3 KP


Subject: EEI340 Electrical Process Modelling for Mehatronics System 2 KP


Subject: EEI211 Computer Studies (special course in industrial electronics) 2 KP


Diploma Thesis Supervising

Thesis: Master thesis „Genetic Algorithm for Intelligent Controller in Safety Tasks of

Rail Transport”

Student: M.Reigulis


Thesis: Master thesis „Programming Controller for Multi-Stage Scheduling in Electric

Transport Systems”

Student: M.Ļevčenkovs


Thesis: Engineering project „Development of New Wireless Adaptive Motion Control

Device of Rolling Stock”

Student: T.Draboviča


Thesis: Engineering project „ Development of Adaptive HVAC System with Fuzzy Logic

Programmig Controller”

Student: T.Kostjkina


Thesis: Master thesis „Objectoriented modeling of electric transport systems”

Student: A.Potapovs


Thesis: Bachelor thesis with project part „Programming of Arithmetical Operators of

Genetic Algorithm for Controllers of Electric Transport”

58

Student: Roberts Sils


Thesis: Bachelor thesis with project part „Programming of Neural Network in

Embedded Systems of Electric Transport”

Student: Antons Gerasimovs


Thesis: Bachelor thesis „Statistical Test Method for Railway Transport Safety

Controller”

Student: Nikolajs Kovšuns


Thesis: Bachelor thesis „Modelling of Scheduling Theory Methods in Electric

Transport Systems”

Student: M.Ļevčenkovs


Thesis: Bachelor thesis „Tournament Selection Procedure of Genetic Algorithm for

Optimal Control of Electric Transport”

Student: M.Reigulis


6. Leading and Participation in Scientific Research Projects:

Project title: „pSafety Certification with Reusable Software Components„

ARTEMIS-1-Call-2010, Nr. 269265

Project period: 2011-2012. gads

Project title: EUROPEAN RAIL RESERCH NETWORK OF EXELLENCE PLT – 506513.

Project period: 2007.-2011.gads

Project title: International Patent Search of Patented Train Braking Way Control Device and

Patented Trains Sections’ Controlling Device. FLPP-2011/13

Project leader: Mihails Gorobecs, Dr.sc.ing., vad. pētn.

Project period: 2011. gads

Project title: Railway Level-Crossings Intelligent Safety Device and Algorithm Development.

FLPP-2011/14

Project leader: Anatolijs Ļevčenkovs, Dr.sc.ing., prof.


Project title: Reliability Testing of New Motion Control Devices of Rolling Stock in

Emergency Situations. FLPP-2010/32

Project leader: Mihails Gorobecs, Dr.sc.ing., vad. pētn.


Project title: Testing of Rolling Stock Diagnostics Device Reliability in Unforeseen Situations.

FLPP-2010/34

Project leader: Anatolijs Ļevčenkovs, Dr.sc.ing., prof.

59


Project title: Development and modelling of genetic algorithms for optimal control of rail

transport ZP-2009/36

Project leader: Mikhail Gorobetz, Dr.sc.ing., sen.researcher

Project period: 2009-2010

Project title: Modelling of intelligent control of rail transport with immune system in

emergency situatiions ZP-2009/35

Project leader: Anatoly Levchenkov, Dr.sc.ing., professor


Project title: Intelligent decision support systems in rail transport 09.1086


Project period: 2009

Project title: Modelling of emission of railway objects in intelligent city transport systems

FLPP-2009/44

Project leader: Pēteris Balckars, Dr.sc.ing., professor


Project title: Modelling of multi-agents of intelligent rail transport system FLPP-2009/22



Project title: Modelling of intelligent control of electric transport in emergency situations.

ZP-2008/10



Project title: Development of multi-agent systems in power distribution. 06.2033



Project title: Modelling of methods of scheduling theory task solution of electric transport

in virtual laboratories R7382



Project title: Optimization of electric energy consumption of city rail electric transport

using multi-layer hybrid trained neural networks. ZP-2008/09

Project leader: Viesturs Brazhis, Dr.sc.ing., assoc. professor


Project title: Modelling of emission of railway objects in intelligent city transport systems

R7327


60


Project title: Modelling of city electro transport intelligent network R7241



Project title: Optimization process of power supply for intelligent transport systems R7211

Project leader: Nadežda Kuņicina, Dr.sc.ing.


Project title: Development of virtual laboratory of alternating current converters R7208



Project title: Development of virtual laboratory in computer control of electric technlogy

Nr. U7093



61

7. Other important information:

Patents:

International

patents:

PCT/EP2011/067474. Device for Safe Passing of Motor Vehicle over Level Crossings

Using Satellite Navigation Systems. A.Ļevčenkovs, M.Gorobecs, I.Raņķis, L.Ribickis,

P.Balckars, A.Potapovs, I.Alps, I.Korago, V.Vinokurovs, 6.10.2011. (26.07.2011.)

WO 2011/115466 A2, (PCT/LV2011/000004) Controlling Device of Railway Track

Sections. A.Ļevčenkovs, M.Gorobecs, J.Greivulis, P.Balckars, L.Ribickis, I.Korago,

A.Bobeško. 22.09.2011. (17.03.2010.)

Latvian

patents:

Patent application Nr. P-11-102. Device for Safe Passing of Motor Vehicle over Level

Crossings Using Satellite Navigation Systems. A.Ļevčenkovs, M.Gorobecs, I.Raņķis,

L.Ribickis, P.Balckars, A.Potapovs, I.Alps, I.Korago, V.Vinokurovs, 26.07.2011.

Patent application Nr. P-11-76. Train anticollision device with satellite navigation.

A.Ļevčenkovs, M.Gorobecs, I.Raņķis, L.Ribickis, P.Balckars, A.Potapovs, 23.05.2011.

Patents Nr. LV13978 B. Train Emergency Braking Device. Gorobecs M., Greivulis J.,

Ļevčenkovs A., Balckars P., Ribickis L. 14.05.2009.

Patents Nr. LV 14156 B. Controlling Device of Railway Track Sections. A.Ļevčenkovs,

M.Gorobecs, J.Greivulis, P.Balckars, L.Ribickis, I.Korago, A.Bobeško. 17.03.2010.

Patents Nr. LV 14187 B. Train’s Braking Way Control Device. A.Ļevčenkovs, M.Gorobecs,

J.Greivulis, I.Uteševs, P.Balckars, L.Ribickis, V.Stupins, S.Holodovs, I.Korago

Scientific conferences:

International

Conferences:

o 21th International Conference on Multi-Criteria Decision Making. 11-16 June 2011, Jyvaskyla, Finland

o 7th International Conference on Intelligent Technologies in Logistics and Mechatronics Systems, 4-5 June 2011, Panevezys, Lithuania

o „14th International Conference EPE-Power Electronics and Motion Control”, 2010. 5.-8. September 2010, Ohrid, Macedonia

o „18th International Symposium „Towards more competitive European rail system”, 26-27 May 2010, Zilina, Slovakia

o „8th International Symposium „Topical Problems in the Field of Electrical and Power Engineering“”, 11-16 January 2010, Parnu, Estonia.

o „8th International Conference on Transport Systems Telematics”, 3-7 November 2009, Katowice, Poland.

o „50. Riga Technical University International Scientific Conference”, 14-16 October 2009. Riga Latvia

o „17th International Symposium „Towards more competitive European rail system”, 4-5 June 2009, Zilina, Slovakia

o „4th International Conference on Intelligent Technologies in Logistics and Mechatronics Systems”, May, 2009, Panevezys, Lithuania

o „6th International Conference TRANSBALTICA 2009”, 22-23 April 2009, Vilnius, Lithuania

o „16th Mediterranean Conference on Control and Automation”, 25-27 June 2008 Ajaccio, France

o "10th International conference on Maritime Transport and Infrastructure ", M.Gorobetz, A.Levchenkov, 24-25 April 2008, Riga, Latvia

62

o 19th International Conference on Multi-Criteria Decision Making for Sustainable Energy and Transportation Systems, 7-12 January 2008, Auckland, New Zealand

and others

Scientific Publications:

International

publications:

o M.Gorobetz, A.Levchenkov, T.Drabovich. Traffic Light Detection Algorithm for Adaptive Wireless System of Railway Rolling Stock //In Scientific Journal of RTU. 4. series., Enerģētika un elektrotehnika. - 2011

o A.Levchenkov, M.Gorobetz. Decision Making for Safety Tasks of Railway Transport in Intelligent Embedded Devices. //In Proceedings of International Conference on Multiple Criteria Decion-Making, Jyvaskyla, Finland, June 11-15, 2011

o I.Alps, M.Gorobetz, A.Levchenkov. Algorithm for Increasing Traffic Capacity of Level-Crossing Using Scheduling Theory //In Proceedings of the 6th International Conference ITELMS 2011, Lietuva, Paņevežys, 4.-5. jūnijs, 2011.

o M. Gorobetz, A. Potapovs, A. Levchenkov. Interaction of Real and Embedded Devices for Intelligent Control of City Electric Transport. // In Proceedings of 10th Transport Systems Telematics, Katowice-Ustron, Poland, 24-27 October 2010.

o M.Gorobetz, A.Levchenkov, L. Ribickis, P.Balckars. Immune Algorithm for Intelligent Controller in Braking System of Electric Railway Transport. //In Proceedings of 14th International Conference EPE-PEMC 2010. Ohrid, Macedonia, September 5 – 8 , 2010

o М.Gorobetz, А.Levchenkov, P. Balckars, L. Ribickis. Genetic Algorithm for Intelligent Braking Controller in Railway Transport System //In Proceedings of 18th International Symposium „Revitalization of Economy – New challenge for European Railway”, Zilina, Slovakia, 26-27 May 2010, pp. 185-192

o А.Levchenkov, М.Gorobetz, P. Balckars, L. Ribickis Intelligent Braking System and Immune Algorithm for Rolling Stock // In Proceedings of 18th International Symposium „Revitalization of Economy – New challenge for European Railway”, Zilina, Slovakia, 26-27 May 2010, pp. 177-184

o А.Levchenkov, М.Gorobetz, L. Ribickis, P. Balckars „Generating of Multi-Criteria Alternatives for Decision-Making in Electric Light Rail Control” //In China-USA Business review, December 2009, pp. 49-55.

o Gorobetz M., Levchenkov A., P. Balckars, Ribickis L. Modelling and Assessment of Multi-Agent Systems for Intelligent Safety Control in Railway Transport. //In Proceedings of 17th International Symposium „Towards more competitive European rail system”, Zilina, Slovakia, 3-4 June 2009

o Gorobetz M., Ribickis L., Balckars P., Greivulis J., Levchenkov A. Method of Accident Prevention Using Intelligent Control System for Railway Transport. //In Proceedings of 6th International Conference TRANSBALTICA 2009, Vilnius, Lithuania, 2009 – 51-56 pp

o M. Gorobetz, A. Levchenkov. Evolutionary Algorithms and Dynamic Parameters for Public Electric Transport Modeling //In Proceedings of 16th Mediterranean Conference on Control and Automation, Ajaccio, France, 25-27 June 2008, 215-219p.

o M. Gorobetz, P.Balckars, A. Levchenkov, L.Ribickis. Modelling of Neural Network Controller for Scheduling Task in Intelligent Transport Systems //In Proceedings of 16th International Symposium „Towards more competitive European rail system”, Zilina, Slovakia, 4-5 June 2008, 279-289 p.

o M. Gorobetz, A. Levchenkov. Multiple Criteria Decision-Making Using Genetic Algorithms for Transportation Systems. //In Proceedings of International Conference on Multiple Criteria Decion-Making, January, 2008, Auckland, New Zealand, 41 p.

63

and others (total 61published international paper)

Monographies:

o A.Levchenkov, M. Gorobetz, L.Ribickis. Fundamentals of Visual Oriented Programming in Industrial Electronics. Study book. Riga, RTU, 2010, 522 p.

o A.Levchenkov, M. Gorobetz, L.Ribickis. Programming Technologies in Industrial Electronics. Study book. Riga, RTU, 2009, 72 p.

o L.Ribickis, A.Levchenkov, M. Gorobetz. Basics of System Theory in Modelling of Industrial Elektonics. Study book. Riga, RTU, 2008, 100 p.

o I. Rankis, A.Levchenkov, M.Gorobetz, D.Ivanovs. Computer Modelling of Three-phase AC Circuits in Virtual Laboratories, Riga, RTU, 32 p.

o L. Ribickis, I. Rankis, A. Levchenkov, M. Gorobetz. Programming Languages in Industrial Electronics. Study book. Rīga, RTU, 2007, 70. lpp.

o L.Ribickis, A. Levchenkov, N. Kunicina, M.Gorobetz. Ievads dinamisko procesu modelēšanā mehatronikas sistēmās. Mācību grāmata. Rīga, RTU, 2007, 63 lpp.

Participation in contests:

Contest: International contest „About the best doctorate, master, students research

work for Riga traffic problem solution”

Date (mm/yyyy): 10/2008

Result: 2. place in doctorate group

Contest: „About the best doctorate, master, students research work for Riga traffic

problem solution”


Result: Encouragement award in doctorate group

Contest: „About the best doctorate, master, students research work for Riga traffic

problem solution”


Result: 2nd place in master group

8. Contact information:

Address: 70, 16 Dreilinu Street, Riga, LV-1046, LATVIA

Phone: (+371)2 6749762


2011, October 25 M.Gorobetz

64

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.

65

Research and Publications Number of scientific publications: around 200, including the following chapters in books:

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

66

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: 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.

67

68

69

CURRICULUM VITAE

1. PERSONAL INFORMATION

Surname, first name: Jakubāne Judīte

Identity number: 250763-10605


Education:

Riga Technical University. Bachelor, Master degree of the Economics science, 1997– 1999

University of Latvia. Commodity expert of non-food goods the highest qualification

commodities and trade organizer, 1981– 1986

Since September 1, 2011 studying at the RTU, FEEM in PhD programme.

Academic titles and scientific degrees: RTU, Mg. oec., 1999.

2.WORK EXPERIENCE

Since 2009 - RTU, FEEM, Department of Management, assistant professor.

2002 - 2008 - RTU, FEE, department of production and business organization, lecturer.

2001 - College of Law, lecturer

1999 - 2006 Latvian Police Academy, Department of the Civil Law, Assistant Professor (0.5 load).

1996 - IU "Jakubāns un dēli", Deputy Director in business organization.

1998 – 2002 - RTU, FEE, Organization Theory Group Professor - Lecturer.

1990 – 1998 - RTU, FEE, Department of production and business organization, laboratory

manager

1984-1990 RTU, Material-technical provision department, senior commodity expert.

1982 – 1984 RTU, FABA, laboratory assistant.

Language skills: Native language: Latvian

Other languages: Russians, English

3. RESEARCH ACTIVITIES, PUBLICATIONS AND PARTICIPATION IN SCIENTIFIC CONFERENCES

Scientific publications

mailto:[email protected]

70

8. “Wages as the indicator of standard of living” International scientific conference European

integration social and economic dimension: Problems, solutions, perspectives of Daugavpils

University, Daugavpils, 2011.

7. “Influencing factors of remuneration system in government institutions” International

scientific conference European integration social and economic dimension: Problems, solutions,

perspectives of Daugavpils University, Daugavpils, 2011.

6. “Private Trademarks”. 48th International Scientific Conference of RTU, Riga, RTU, 2007.

5. “Consumption Structures of Inhabitants and Changes in Shopping Places in Trade”. The

International Conference of the Law college „Third year in European Union: topical economic

guidance’s and problems”, Riga, Academy of Latvia Sciences, 2007, p. 10.

4. „Changes in consumption and shopping places in trade”. 47th International Scientific Conference

of RTU devoted to the 40th anniversary of Faculty of Engineering economics, Riga, RTU, 2006, p. 38.

3. “Changes of sale processes and organization in trade”. 46th International Scientific Conference

of RTU „The Problems of Development of National Economy and Entrepreneurship”, Riga, RTU,

2005.

2. “Development of Private Pension Funds in Latvia”, RTU 44th International Scientific Conference.

”The Problems of Development of National Economy and Entrepreneurship”, Riga, RTU, 2004.

1. International conference “National economy and education development problems

nowadays”, article: “Higher education and its quality” Riga, RTU, 2002, 116. pp.

4. TAUGHT STUDY COURSES:

Marketing-4 CP;

Business Administration-2CP

The company's management -2 CP;

Organization and Management of market -2CP

Business - 2 CP

Organization of Production and Services -4 CP

Organization of Business, 4 CP

Planning and Organization of Entrepreneurship - 4 CP

Management of Small Business - 3 CP

Economy of management - 4 CP

5. PROFESSIONAL DEVELOPMENT:

Riga Techinical University, course- „RTU Blackboard”, 2 CP, May-June, 2006. Certificate, series

TA nr.2144

Daugavpils University, Development of Professional skills -

Innovations in higher education system, 40 hours, April – May, 2004, Nr.329.

Teaching Programme for the Teaching Assignment Erasmus Programme

71

No. -2010/2011 Mycolas Romeris University, Faculty of Economics and Finance Management

Duration of the visit: 04.05.2011 - 08.05.2011.

AS Swedbanka, Seminar “Insight into the trends of Latvian Economy 2011-2012”, 2011.

SIA MM STUDIJA, Seminar – Process Management Workshop, certificate Nr.002/2011, June 3,

2011.

6. ORGANIZING ACTIVITIES

Riga Technical University- Secretary of State Examination commission;

College of Law, - Deputy Head of State examination commission.

7. OTHER IMPORTANT INFORMATION

Recognitions:

FEEM, SP, Lecturers annual prize- „Information bag”-2005

„The clearest language”-2005

„Like a fish in water”- 2006

„The most rigorous lecturer”- 2007

„The most interesting lecturer”- 2007

„Students’ friend”- 2008

„The most interesting lecturer”- 2008

Award: RTU, SP „The lecturer of the year”- 2007

Signature:

/J.Jakubāne/

72

CURRICULUM VITAE

Valerijs Kunickis

Date of birth: October 17, 1952

Personal ID: 171052-10604

Address: Riga, Olaines Street 3 - 10

Phone Number: 67461720

Education: 1975 – Moscow State University,

Faculty of Philosophy

Academic titles and

Scientific degrees:

1990 – Associate Professor

1985 – Candidate of Philosophy Science

2008 – Master of Pedagogy

Work experience:

2006 - present Associated Professor of the Department of

Philosophy and Sociology of Riga Technical University

(RTU)

1990 - 2005 Associated Professor of the Department of Sociology and

Pedagogy of RTU

1980 - 1990 Senior Lecturer of RTU

1975 - 1980 Assistant of RTU

1993 – 2003 - Associated Professor of Latvia Police Academy, Latvia Sports

Academy, Baltic Russian Institute, Higher School of Social Technologies, Rimpak

„Livonija”, Higher School of Practical Psychology a.o. higher educational

institutions

Improvement of professional skills:

1981 – Minsk Institute for raising lecturers’ qualification

73

1980 – 1984 – correspondence graduate course at the University of Latvia

1985 – defending of dissertation at Moscow State University

1997 – 1998 – participation in an international Latvian – Finnish project

2001 – 2002 – Latvia – Lithuania – Estonia project in the field of professional

pedagogy

2006- 2008 – Master studies at the University of Latvia

Research work and academic study courses:

General Sociology

Social Psychology

Industrial Relations

Business Sociology

Human Resource Management

Individual and small-group psychology

Organizational psychology

Publications:

V.Kuņickis. Pedagogs – jaunrades vadītājs. Arodpedagoģijas

elementi. 8th edition. Riga, RTU, 1999, p. 35

Industriālās attiecības.// Mācību līdzeklis (group of authors). R., RTU,

2001 (30 p.)

V.Kuņickis. Profesiografiskā analīze: izmantošana un iespējas.

RTU Scientific articles. Series 8. Humanitarian and Social sciences. vol. 1,

Riga, RTU, 2002, p. 58-61

V.Kuņickis. Organizāciju kultūra: mūsdienu diagnostikas metodes.


Riga, RTU, 2003, p. 154-158

V.Kuņickis. Organizāciju personāla apmācības aktuālās problēmas.


Riga, RTU, 2004, p. 86-89

V.Kuņickis. Cilvēku resursu vadīšana: problēmas un risinājumi.


Riga, RTU, 2005, p. 116-120

V.Kuņickis. Biznesa socioloģija.// Mācību materiāli un vingrinājumi.

74

R., RTU, 2005, p. 56

V.Kuņickis. Industriālās un darba attiecības mūsdienu apstākļos .


Riga, RTU, 2006, p. 88-93

V.Kuņickis. Industriālais konflikts. RTU Zinātniskie raksti. Series 8.

Humanitarian and Social sciences. vol. 12, Riga, RTU, 2007, p. 102-106

V.Kuņickis. Augstskolu mācību vides struktūra un pamatmērķi .

RTU Scientific articles.Series 8. Humanitarian and Social sciences. vol. 14,

Riga, RTU, 2008, p. 9-14

V.Kunickis

75

76

77

78

79

CURRICULUM VITAE

1. Personal Information

Name, surname: Zanda Lejniece

Date of birth: November 26, 1952

Place of birth: Riga, Latvia

Address: Riga, Matīsa Str. 43-25

Telephone: 26538877

Education: Graduated from University of Latvia, Faculty

of History and Philosophy, obtained

speciality of philosopher (1977).

Graduated from University of Latvia, Faculty

of History and Philosophy (1995), title of

qualification awarded – Master in

Philosophy, Diploma No 001238. The theme

of scientific research – “Idea of Social

Progress in J.G. Herder’s Philosophy”

(history of philosophy).

Scientific degree: Master in Philosophy

Occupation: Assist. prof. at the Institute of Humanities,

Department of Philosophy and Sociology

Knowledge of Language: Latvian – mother tongue;

Russian – fluent;

German – basic knowledge.

2. Scientific Work and Publications (during last 6 years)

80

Articles in reviewed editions: RTU scientific articles. Vol.8 “Humanities

and Social Sciences”:

Pedagoga ārējā tēla veidošanas problēmas

mūsdienu augstskolā. Vol.1 Riga: RTU, 2002;

Tērps – zīme: tradīcijas un novitātes. Vol. 4

Riga: RTU, 2003;

Krāsu loma pedagoga imidža veidošanas

procesā. Vol.6 Riga: RTU, 2004;

Ētiskās vērtības: to izpausme un loma

pedagoga darbā. Vol.8 Riga: RTU, 2005;

Ētiskie vadības stili pedagoga darbā. Vol.10

Riga: RTU, 2006;

Participation at conferences

with reports RTU 42nd International Scientific

Conference, Riga: RTU, October 14, 2001;

Report “Clothes – a Sign: Traditions and

Novelty”. RTU 43rd International Scientific

Conference, Riga: RTU, October 14, 2002;

Report “The Role of Colours in Teacher’s

Image Formation “. RTU 44th International

Scientific Conference, Riga: RTU, October

10, 2003;

Report “Specifics of Public Presentations at

Institutions of Higher Education”. RTU 45th

International Scientific Conference, Riga:

RTU, October 15, 2004;

Report “Nowadays Etiquette: Traditions and

Novelty”. RTU 47th International Scientific

Conference, Riga: RTU, October 13, 2006

3. Pedagogical Work (during last 6 years)

81

Supervision of

Qualification Papers 17 Qualification Papers in the study

programme “Professional Pedagogy”

Study Subjects

(title, volume, credit points) “Business Etiquette” – 2 CP; “Elocution” – 2

CP; “Presentation Skills” – 2 CP; “Models of

Social Development” – 2 CP; “Educator’s

Ethics and Etiquette” – 2 CP; “Etiquette” – 2

CP; “Fundamentals of Communication” – 2

CP.

Study Aids: Ētika pedagoga darbā/ Arodpedagoģijas

elementi. Vol. 10, Riga: RTU, 2002, pp35.

Prezentācijas prasme. Lekciju konspekts.

Riga: RTU, 2004, pp.88.

Ētika pedagoga darbā. (recast and

renewed)/ Arodpedagoģijas elementi.

Vol.14, Riga: RTU, 2005, pp.55

Further Education: 2005 – 2006 Centre of Professional Further

Education – professional development

study programme “K-30 Educator’s

Professional Education in Pedagogical

Elementary Education Programme” (404

hours). Certificate PA No 026588, issued on

May 29, 2006 in Riga, Reg. No 338.

Theoretical seminars at P. Stradina

University – “Formation of Healthy and

Harmonic Environment for the Youth” and

“Formation of Person’s Image”

82

Practical Pedagogical,

Advisory and Organisational

Work outside of RTU: Chilli Promotion Ltd. – Company’s image

formation and training of employees;

Latvenergo, joint-stock company –

development of the study programme

“Business Communication in Professional

Environment” and responsible for its

realization;

Riga Orphanage Centre – lectures, practical

classes, and consultations of employees

within the training course of improvement

of professional skills;

Ministry of Defence of the Republic of

Latvia, Recruitment Centre – training of

employees;

Sigulda State Gymnasium, Malpils

vocational secondary school, etc. –

theoretical and practical classes on the

study subject “Preparation for the Job

Interview”.

4. Organizational Work (during last 6 years)

Responsibilities at the Institution

of Higher Education:

2004-2006 – a representative of the

Institute of Humanities at the Academic

Assembly of RTU

Phil.mag. Zanda Lejniece

Riga, 2011

83

CURRICULUM VITAE

Personal data

Full name : Anatolijs Magidenko

Date of birth : 23 November 1934

Place of birth : Chernigov , Ukraine

Identity number : 231134-10404

LR passport of

citizen : LF 0640288

Address : Višķu 5 dz.28 , Rīga LV-1063

Telephone : 7267606

Education

1960 Riga Polytechnical Institute, electrical engineer Riga Polytechnical Institute,post-graduate course

1970 Latvia Academy of Sciences , Candidate of Economic Sciences

1974 USSR Higher Attestation Committee of the Council of Ministers,Chair of Economics and Organization of Mechanical Engineering ,

assistant

professor(certificate)

1989 Leningrad Institute of Engineering Economics, Dr.oec. (diploma)

1990 Moscow Institute of Communications ,professional

advancement,( certificate)

1992 Latvia Council of Science , Dr. habil.oec.

1992 Ontario (Canada) Western University,

Business School (certificate)

1999 Kiev University of National Economy,

Professional advancement course (publications)

2 October 1999 Academy of International Ecology and Operational

Safety Sciences , academician (diploma)

1999 Riga Technical University (RTU), professor (diploma)

Nostrification

84

Time : 24 September 1992

Place : Latvia Council of Science

Employment history

1960-1964 Riga Electromechanical Works , 2nd category designer 1964-1967 Riga factory “Komutators”, 1st category engineer-

Designer

1967-1970 Riga Polytechnical Institute , a full-time post-graduate 1970-1972 Riga Polytechnical Institute, Faculty of Engineering

Economics , senior lecturer

1972-1992 Riga Polytechnical Institute , FEE , assistant professor 1985-1991 Latvia Computer-aided Designing Centre of Mechanical Engineering

and Technical Appliances, Head of the Research Group of Feasibility Studies

Since 1992 Riga Technical University , professor

1998-2001 Full professor , Head of the professor`s group of

Innovations and Marketing

1995-1999 Member of RTU Senate 1992-1999 Member of RTU Council of Habilitation H-09 Since 2001 Member of RTU Council of Promotion P-09

Language skills

Russian – native

Latvian – fluent

English – reading and translation skills using the dictionary,basic communication skills

German – reading and translation skills using the dictionary , basic communication skills

Publications(amount and scope)

409 publications(249 research papers , 160 methodological

materials– 290 printed sheets including 5 monographs

From 1998 to 2003- 200 publications.

Supervision of research

Supervisor and author of 40 research papers including :

LCS grant No.98.0897 supervisor (1998-2000)


85


Additional activities

I have taught students of Economics in bachelor`s ,engineers and economists , master`s

and doctoral studies.I am the editor-in-chief of the RTU international journal

“Economics and Entrepreneurship. Entrepreneurship and Management “3rd series as

well of other issues.

I have been awarded Records of Recognition by Latvia Government , Ministry of

Economy , Education Foundation of Latvia , Kiev National Technical University , RTU and

some enterprises of Riga. The International Academy of Ecology and Operational Safety

Sciences

conferred the title of “ Merited Researcher” and awarded the “Scientist Star” in 2003. In

1989 the title RTU Employee of Honour was conferred.

19 February 2004

86

87

88

CURRICULUM VITAE

PERSONAL INFORMATION

First name, surname: Jānis Mežiels


Telephone at work: +371 67089486

Date of birth: 01.10.59.

LANGUAGE PROFICIENCY

Mother tongue: Latvian

Other languages: Russian

EDUCATION

1994-1989

Riga Technical University, Faculty of Engineering Economics, Master’s degree in

management of entrepreneurship;

1983-1978

Riga Polytechnical Institute, Faculty of Engineering Economics, economist.

PROFESSIONAL ADVANCEMENT

2006

RTU ”Management of small business: innovation, strategy and valuation”.

2005

LZRA “Izglītības centrs” SIA ”Changes in tax legislation and corporate annual reports”.

2004.

LZRA “Izglītības centrs” BO SIA ”Changes in tax legislation after entry in the EU.

2003.

LZRA “Izglītības centrs” BO SIA ”Corporate financial management”.

WORK EXPERIENCE


89

2006

Auditing firm SIA “Grāmatvedis”, member of the Board.

2004

SIA”Rīgas Audits”, Chairman of the Board

2001

Latvian Sworn Auditors Association, member of the board

2000

SIA “Rīgas Audits”, sworn auditor

1984

Riga Technical University, Chair of Economics of Production and Entrepreneurship,

Assistant Professor (practical)

PUBLICATIONS

Scientific publications

Inflation, appraisal of taxes and investments. Development of knowledge-based

innovative entrepreneurial activity. Summaries of presentations. Riga: RTU, 2006.

PEDAGOGICAL WORK

Length of pedagogical work experience in higher education – 24 years

Courses taught

”Audit and control”, ”Planning of entrepreneurship”, ”Economics of entrepreneurship

”Economics of entrepreneurship and marketing”.

90

91

92

93

94

95

CV

Personal Information

Name, surname: Aivars Pumpurs

Birth date: 15.03.1963

Address: Riga, Baldones street 26-28

Contacts: Phone: 29498325,


Education

Qualification: Engineer electrician

Specialty: Electrical drive and automatization of industrial equipment

Educational institution: Riga Polytechnical Institute (now RTU)

Year: 1986., diploma with distinctions No. 368278

Work experience

Since 2008 RTU FPEE, Department of Automated Electrical Drive

Part-time practical docent

1998. – 2011. SIA “ARCUS ELEKTRONIKA”

Constructor

1995. – 1998. CAF Riga

Engineer-constructor

1994. – 1995. ABB Latvia

Expert of the ventilation and conditioning equipment automation

1993. – 1995. RTU FPEE, Department of Automated Electrical Drive

Assistant

1986. – 1993. RTU Scientific Research Laboratory for the control of the water

supply technological processes microprocessors

Research associate

Professional advancement and experience

Courses 1. ECO-LATVIA scholarship holder, 1992. 6 months in US EPA laboratory in Cincinnati city, US. Research in water treatment and remote environment monitoring.

2. Stockholm Royal institute of technology – 3 months courses in strong

96

power electronics. 1993.

Drivers license Category B

Other skills Computer applications: Microsoft Word, Excel, VB6 etc.

Microprocessor and PLC programming

Languages Latvian (mother tongue), Russian and English

Scientific activities

2009. – 2011. In ARCUS ELEKTRONIKA SIA as worker carried out research work:

"Production of an effective management system for a new transmission and distribution

network for electrical energy".

Reference: Arcus Elektronika SIA and Investment and Development Agency of Latvia (LIAA)

September 23, 2009, Contract No.L-JPI-09-0072

2009. Participation in RTU project II FLPP-2009/14: “Development of innovative lifelong learning

modules for the industrial automation and mechatronic systems computer control”.

2011. In RTU Institute of Industrial Electronics and Electrical Engineering was carried out

development of the modular multilevel inverter management and measurement.

Reference: IIEEE public procurement, theme V7682

Publications

Microprocessor Control System in Riga Municipal Plant, Water supply and Sewerage: L.Ribickis,

A.Pumpurs, p.443-p.457. Integrated Computer Application in Water Supply. Research Studies

Press LTD.Traunton, Somerset, England.

Pedagogical activities

Read lectures, supervised laboratory works and prepared teaching materials in following study

programs of RTU FPEE Institute of Industrial Electronics and Electrical Engineering:

Application of Computers in Automation of Technological Processes (EEP341)

Modern production technologies (EEI355)

Basics of Production Systems Automation (EEP473)

Electrotechnological Equipment (EEA311)

Industrial Communication Networks (EEI501)

Industrial Programmable Control Systems (EEP430)

97

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

98

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.

99

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


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)


100

Candidate of Technical Sciences (from 1980) (TH No. 043125)

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


1994 – till now Professor of Division of Industrial Electronic equipment, Riga Technical


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


1979-1980 Visiting Researcher Budapest Technical University, Department of

Electrical Machines, Hungary

1975-1980 Research Associate, Riga Technical University, Department of Electrical


101

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

(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)

102

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)

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

103

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)

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)

104

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)


in Poznan, Poland (2008)

Co-Chairman for International Power Electronics Conference 2009 in Barcelona, Spain

(2009)


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

105

CV

1.General information

Surname, name: Airisa Šteinberga Personal code: 050368-10906

Place of Birth: Rīga


Tel. in office: 67089152

Permanent address: Priežu iela 9, Mežciems, Carnikava’s district, LV-2163

Education

In 1994 graduated Master’s degree studies at LU and awarded Master’s degree in Pedagogy;

In 1990 graduated from the Biology faculty at LU and obtained qualification of biologist, lecturer

in biology and chemistry.

Scientific degrees

In 1997 obtained Dr. psych. degree

Employment experience

Institute of the Humanities at RTU, department of Sociology and pedagogy, docent since 1998;

Since 2006 - docent at the department of Pedagogy and psychology;

From 1994 – 1998 lecturer for RTU;

From 1990 – 1999 Teacher for Rīga Commerce School;

Languages

Native language: Latvian

Other languages: Russian and German;

2.Scientific work and publications

Participation in projects

From 1990 -2005 a member of the international project “Internationales lernen” ;

106

From 01.07.06-30.06.2007 participation elaboration and implementation of ESF project

“Academic staff competence development in pedagogy and IT” ;

Publications in scientific issues

Submitted for publication to University of Tuebingen – the article „Die das Wohlbefinden der

Halbgewachsene bestimmenden Faktoren an den Schulen Lettlands“

Šteinberga A. Skolas funkcijas mūsdienu Latvijā//School functions in contemporary Latvia//. RTU

Scientific Artiles.8th series. „Humanitārās un sociālās zinātnes”//The Humanities and social

sciences//, 14th volume. R.,RTU,2008.pp.59-71;

Šteinberga A. Bērna optimālas attīstības priekšnoteikumi perinatālās psiholoģijas kontekstā//The

child’s optimal development preconditions in the context of prenatal psychology//. RTU Scientific

Artiles.8th series ”//The Humanities and social sciences//,10th volume. R.,RTU,2006; pp. 71-77;

Spona A., Steinberga A., Tilla I. Subjektive Eigenheit vor Schuerler und Kriterien und

Indikatoren fuer ihr Verhaltens. Vergleichende Studien zur Integration – Interkulturelles Lernen

von Jugendlichen und Kindern in Europa. Bericht der Tuebingen Vorschungsgruppe am Institut

Fuer Erziehungswissenschaften der Universitaet Tuebingen. Beitrage dere Internationales

Tagung von 07.-10.04. 2006. in Dubrovniki Kroatien. Universitaet Tuebingen, Hrgs. Von Joseph

Held. S. 91.-103. (Špona A., Šteinberga A., Tiļļa I. Skolēnu subjektīvās īpašības un viņu

uzvedības kritēriji un indikatori. Salīdzinošais Eiropas bērnu un jauniešu integrācijas –

starpkultūras pētījums// Pupils’ subjective traits and their behaviour criteria and indices. A

comparative European children and adolescent integration – transculture research; Tuebingen

research group’s report at the conference in Croatia, in Dubrovniki. Published by the university

of Tuebingen, publisher J.Helds.2006.,pp. 92-103)

Штейнберга А А Использовании психологического тренинга с подростками в воспитании

в Латвии Сборник материалов научно-практической конференции В.М.Бехтерев и

современная психология. 28сентября – 1октября 2005года. (In electronic format: Šteinberga

A. Pusaudžu psiholoģiskā treniņa izmantošanas iespējas audzināšanā Latvijā//Teenager

psychological training implementation opportunities in upbringing in Latvia//, Scientific practice

conference „V.M. Behterev and contemporary psychology” 28 Sept. – 1Oct. 2005. In collection

of articles )

Šteinberga A. Zinātniskās pētniecības attīstība starptautiskā projekta „Internacionālā mācīšanās”

ietvaros (1990.-2001.g.)//Scientific research development in the framework of the International Project

“International Learning”(1990 - 2001). RTU Scientific Artiles.8th series, „Humanitārās un sociālās

zinātnes”//The Humanities and social sciences//,8.sēj.R., RTU, 2005.g., 111.-115.lpp.

ŠponaA., Šteinberga A. „Aktuelle pảdagogische und politische Problematik der Integration der

Schuljugend in Lettland” // „Jugend in Europa – Integrationsprobleme und Partizipationschancen”,

Bericht Nr.48, Universitảt Tủbingen, 2004. (Špona A, Šteinnberga A., Latvijas skolu jaunatnes integrācijas

107

aktuālās pedagoģiskās un politiskās problēmas. // Krājums „Jaunatne Eiropā – integrācijas problēmas un

dalības iespējas”- // Urgent pedagogical and political problems of Latvian school youths integration//

Collection “Youth in Europe – integration problems and participation opportunities” )

Šteinberga A. Emocionālās inteliģences pilnveidošanās arodizglītībā. //Emotional intelligence

development in vocational education//RTU Scientific Artiles.8th series, „Humanitārās un sociālās

zinātnes”//The Humanities and social sciences//, 4th volume, R., RTU, 2003, pp.36-40.

Text-books and methodical aids:

A.Šteinberga. Vispārīgā un personības psiholoģija//General and personality psychology// R., RTU

Izdevniecība, 2006.

Participation in scientific conferences:

RTU 49th international scientific conference on 13 October 2008, report //Play as means of the

teacher further education//.

RTU 48th international scientific conference on 12 October 2007, report //Schoolchildren’s

attitude to school as a criterion of education quality//

International scientific symposium “Theory for practice” at the University of Tuebingen; 3-7 July

2007, report ‘Subjective and objective education quality criteria”

RTU 46th international scientific conference on 15 October 2005, report ”Children’s

development from the birth till the age of three in the context of prenatal psychology”

Conference „Perspektiven der multikulturellen Gesellschaft”, in Riga on 3 -7 March 2005. Report „Das

individuelle Wissenschafliche Wachstum im Rahmen des internationalen Projektes „Internationales

Lernen”

RTU 45th international scientific conference on 14 October 2004, report ”Development of scientific

research in the framework of the international project “International learning (1990 -2001)”

RTU 43th international scientific conference on 14 October 2002, report ”Emotional background and

efficiency of activities during lessons”

3.Pedagogical activities

In ac.yr. 2008./09 have begun mentoring of two Doctor’s degree dissertations in pedagogy field

in vocational pedagogy sub-branch:

J.Gerasimovs “Students’ social status in the group and achievements in studies correlation”

108

S. Līce-Krūze “Pedagogical psychological basis of professional qualification content and

acquisition organisation elaboration”

From 2003-2008 mentored 43 qualification works;

Designed and read lecture courses:

General and personality psychology (2 credit points)

Developmental psychology (2 credit points)

Pedagogical psychology (4 credit points)

Family psychology (2 credit points)

Lectures at a higher education school abroad:

Lecture at the Adult education department at Frankfurt university „Schprachpolitick und

Schulwesen in Lettland – ein historischer Ueberblick” 28 April 2006.

Professional development

International seminar-training “Developmental psychology accompaniment. Basics of Prenatal

psychology” at International professional mastery centre “Vaiņode”, seminar leader Dr.med.I.Dobrjakov.

Rīga, 18-20 February 2005. Certificate received.

International seminar-training “Family counselling” at International professional mastery centre

“Vaiņode”, seminar leader Dr.med.I.Dobrjakov. Rīga, 22-25 May 2005; Certificate received.

International seminar-training ”Psycho-sexual development disturbances and their correction” at

International professional mastery centre “Vaiņode”, seminar leader Dr.med.I.Dobrjakov. Rīga, 28

February -2 March 2006; Certificate received.

International seminar-training “Personality development training: self-discovering” at International

professional mastery centre “Vaiņode”, seminar leader – V.Kokarenko, senior lecturer from Petersburg

State psychology and social work. Rīga, 19-21May 2006.

Certificate received.

International seminar-training “Intimacy therapy” at International professional mastery centre

“Vaiņode”, seminar leader– V.Kokarenko, senior lecturer from Petersburg State psychology and social

work.. Rīga, 2-4 July 2006. Certificate received.

International seminar-training “Systemic psychodrama in the family psychotherapy” at International

professional mastery centre “Vaiņode”, seminar leader Dr.med., prof. E.G.Eidemillers Rīga, 20-25August

2006. Certificate received.

International seminar-training “Psychodrama in organisation counselling” at International professional

mastery centre “Vaiņode”, seminar leader Sc. candidate in psychology V.Semjonov. Rīga, 14-16 May

2007. Certificate received.

109

International seminar-training “Psychodrama in individual and group counselling” at International

professional mastery centre “Vaiņode”, seminar leader Sc. candidate in psychology V.Semjonov. Rīga,

25-27 January 2008. Certificate received.

International seminar-training “Monodrama as a method of psychodrama in individual counselling” at

International professional mastery centre “Vaiņode”, seminar leader Sc. candidate in psychology

V.Semjonov. Rīga, 21-23 November 2008. Certificate received.

4.Organisational activities

A member of editorial board for RTU scientific articles

Other projects

In 2008 team consolidation trainings designed and conducted for the management of LTD.

“Consolis Latvija”;

In 2006/07yrs. Participation in a training project implementation financed by ESF in

collaboration with “Medicine business academy”.

In 2006 lectures ”Emotional leadership” for the directors of the holding “Excelsio”.

In 2005 trainings “Communication and stress management” for new employees of S/C „Rietumu

banka”.

110

Curriculum Vitae

Personal information

First name(s) / Surname(s) Renate Strazdina

Address(es) Muitas iela 1, LV-1010, Riga, Latvia

Work experience

Dates September 2007- present

Occupation or position held Executive Director

Main activities and responsibilities Specialization in IT projects, Business process improvement projects and EU projects

Name and address of employer Ernst & Young Baltic Ltd.; Riga, Latvia

Type of business or sector Audit and consultations

Dates March 2004 – September 2007

Occupation or position held Manager

Main activities and responsibilities Specialization in IT projects, Business process improvement projects and EU projects

Name and address of employer Pricewaterhouse Coopers, Ltd.; Riga, Latvia

Type of business or sector Audit and revisions

Dates October 2001 - March 2004

Occupation or position held Information systems Implementation Consultant

Main activities and responsibilities Business Software implementation

Name and address of employer Via Pro SIA, Latvia

Type of business or sector Information technologies

Dates June 1998 - October 2001

Occupation or position held Support Department Manager

Main activities and responsibilities building up the user support function and ensuring and adequate flow of information between the IT development and maintenance function and the users in the largest Latvian insurance company

Name and address of employer A/S Balta

Type of business or sector Insurance Company

Key industry expertise

111

Government sector; Technology; Bussines process

Areas of specialization

EU related services The largest projects for EU related services include accreditation and certification (3 years) of Rural Support Service, Ex-ante evaluation of strategic planning documents (2007-2013), different advisory and audit related services to Ministry of Agriculture, Ministry of Economics, Ministry of Finance and other state institutions.

Business process improvement Process redesign and documentation for the State Employment Agency

IT supervision of implementation IT project audit (Rural Support Service, State Stock Company “Latvia’s State Forests” and State Social Insurance Agency )

Development of strategies and requirements

IT effectiveness projects include IT strategy development (Ministry of Finance, Secretariat of Special Assignments Minister for Electronic Government Affairs, Corruption Prevention and Combating Bureau and insurance company)

Education

Dates 2002-2006

Title of qualification awarded Doctor Degree in Information Technology (Computer Science)

Name and type of organisation providing education and training

Riga Technical University; Riga, Latvia

Dates 2002-2004

Title of qualification awarded Master Degree in economics


University of Latvia, Faculty of Economics and Management; Riga, Latvia

Dates 1998-2001

Title of qualification awarded Master Degree in Information Technology (Computer Science)



Dates 1995-1998

Title of qualification awarded Master Degree in Information Technology (Computer Science)



Personal skills and competences

Mother tongue(s) Latvian

Other language(s)

Self-assessment Reading Speaking Writing

English 5 4 5

Russian 4 4 4

112

Membership of professional bodies

Chartered Association Certified Accountants (ACCA, UK) – 2009 PRINCE 2 project management practitioner (2010)

Most important projects during the professional career

► 2010 – ongoing, State Chancellery of Latvia, Consultants support to the development of single national human resources information and management systems within the framework of the European Social Fund project "Human resource management information technology systems development and implementation; ► 2010-2011, The State Chancellery of Latvia, Consultations on the control authorities in the performance evaluation within the framework of the European Social Fund project "Reducing the administrative burden and simplification of administrative procedures”; ► 2010, Consultations to the Ministry of Agriculture and its subordinated institutions in ICT management process design and feasibility studies, Ministry of Agriculture of the Republic of Latvia; ► 2010, Consultations to the Ministry of Welfare and its subordinated institutions in development of support function model and in centralized IS and ICT security solution documentation, Ministry of Welfare of the Republic of Latvia; ► 2009 – on going, United National Archives Information System designing and implementing of the second project phase; State Agency Culture Information Systems, including preparation of procurement documentation; ► 2009 – on going, Electronic procurement system e-catalogue functionality development ;State Regional Development Agency; (Business process analysis, quality management); ► 2009, VB SIA „Latvijas Radio”, budget planning and implementation and development of control activities as well as cost calculation and calculation process improvement of broadcasts; ► 2008 – 2009, Evaluation of control activities, Ministry of Finance (Ernst & Young Baltic Ltd.); ► 2008, Riga City Council, Riga City authorities internal audit’s cost optimization analysis in Riga City Council, identifying the necessary changes in the internal audit organization of work and changes leading to resource savings; ► 2008, Methodology for annual control report, Ministry of Finance (Ernst & Young Baltic Ltd.); ► 2008, Rural Development Fund internal control evaluation, Ministry of Agriculture of the Republic of Latvia (Ernst & Young Baltic Ltd.); ► 2008, Annual control report methodology, Ministry of Agriculture of the Republic of Latvia (Ernst & Young Baltic Ltd.); ► 2008, Ex-post control methodology, Rural Support Service (Ernst & Young Baltic Ltd); ► 2008, Assistance to the Audit institution of European Fisheries Fund in evaluating internal control system, Ministry of Agriculture (Ernst & Young Baltic Ltd.); ► 2008, Effectiveness audit of technical assistance project implementation; Ministry of Environment, (Ernst & Young Baltic Ltd.); ► 2008, Seminar EU fund planning period 2007-2013, Ministry of Finance (Ernst & Young Baltic Ltd.); ► 2008, Methodology for audit sampling, Rural Development Fund (Ernst & Young Baltic Ltd.); ► 2008, Accreditation of LGA (EU funds), Ministry of Economy (Ernst & Young Baltic Ltd.); ► 2007– 2008, European Union Structural Funds and Cohesion Fund management and control systems assessment for the period of 2007-2013, Ministry of Finance (Ernst & Young Baltic Ltd.);

113

► 2007, Extension of the State budget planning and execution’s system (including preparation of procurement documentation, Ministry of Finance of Republic of Latvia; ► 2007, EU funds administrative efficiency analysis, Ministry of Finance (Ernst & Young Baltic Ltd.); ► 2007, Expenses confirmation process assessment, Ministry of Finance (Ernst & Young Baltic Ltd.); ► 2007, Review of procedures for the first level control of I INTERREG III program, State Regional Development Agency (Ernst & Young Baltic Ltd.); ► 2007, The second level control for INTERREG program, Ministry of Regional Development and Local Government (Ernst & Young Baltic Ltd.); ► 2007; E-Governance development programme and programme document development (including procurement), Secretariat of Special Assignments Minister of Electronic Government Affairs; Project manager (Pricewaterhouse Coopers Ltd.); ► 2007, Ex ante Evaluation of European Union Structural Funds and Cohesion Fund planning documents for the period of 2007 – 2013, Ministry of Finance (Pricewaterhouse Coopers Ltd.); ► 2007, Functional audit of introduction of Youth program “Youth in action”, Project manager (Pricewaterhouse Coopers Ltd.); ► 2007, Functional audit of EU structural funds utilization in environment sector of Ministry of Environment (Pricewaterhouse Coopers Ltd.); ► 2007, Self-government administrative capacity evaluation in order to evaluate ability of their participation in next period European Regional Development Fund and Cohesian Fund environment projects for Ministry of Environment, Project manager (Pricewaterhouse Coopers Ltd.); ► 2006, Thematic Evaluation of the Development Process of the EU Structural Funds planning documents (Single Programming Document and Programme Complement) and activities included in the documents for the programming period of 2004 – 2006., Ministry of Finance (Pricewaterhouse Coopers Ltd.); ► 2006, Thematic Evaluation of Project Selection Criteria for Projects Co-financed by EU Structural Funds, Ministry of Finance (Pricewaterhouse Coopers Ltd.); ► 2005, Design of conception of the State budget planning and execution’s system, Ministry of Finance of Republic of Latvia (Pricewaterhouse Coopers Ltd.); ► 2005, Accreditation of Rural Support Service as a Payment Agency of EAGGF Guarantee Section (Pricewaterhouse Coopers Ltd.); ► 2005, Technical Specification of the Integrated Information Network and Local Database (Corruption Preventing and Combating Bureau) for needs of Ministry of Finance. Project manager (Pricewaterhouse Coopers Ltd.); ► 2004, Accreditation and Certification of Rural Support Service as a Payment Agency of EAGGF Guarantee Section (Pricewaterhouse Coopers Ltd.); ► 2004, Accreditation of 2nd Level Intermediaries and 2nd level intermediaries

(Central Finance and Contracting Agency), Project manager (Pricewaterhouse Coopers Ltd.);

► 2003, Finance management system implementation SIA Jaunalko (system requirement, system desing, implementation and user support) (Pricewaterhouse Coopers Ltd.); ► 2002, Finance management system implementation SIA Lattako (system requirement, system desing, implementation and user support) (Pricewaterhouse Coopers Ltd.); ► 2002, Finance management system implementation SIA Swedwood (system requirement, system desing, implementation and user support) (Pricewaterhouse Coopers Ltd.); ► 2002, The Information system development supervision project (included preparation of procurement documents) State Stock Company "Latvia's State Forests"; ► 2001-2004, Information systems Implementation Consultant, Business Software implementation, including preparation of tender documents, Via Pro SIA,

114

Latvia; ► 1998-2001, A/S Balta Insurance operation support system development (system requirement, development, testing, and user support) (A/S Balta).

PUBLICATIONS:

1. Strazdiņa R., Kirikova M., Peņicina L., Rudzājs P. Knowledge Requirements Monitoring System: Advantages for Industry and University// Proceedings of the Second International Conference on Information, Process, and Knowledge Management eKNOW 2010, Netherlands, Saint Maarten, 10.-16. February 2010. – 120.-125. page.

2. Rudzājs P., Peņicina L., Kirikova M., Strazdiņa R. Towards narowing a conceptual gap between IT Industry and University// In: Scientific Proceedings of Riga Technical University, Computer Science, S. 5, Vol. 41, RTU, Riga, 2010, --.---.pp.

3. Strazdiņa R., Kirikova M. Interaction Model Supporting Collaboration between University and Industry// International Conference on Education and New Learning Technologies, EDULEARN09, Spain, Barcelona, 6-8 July 2009.-004879.-004885.page.

4. Renāte Strazdiņa, Jūlija Stecjuka, Ilze Andersone, Mārīte Kirikova. Statistical analysis for supporting inter-institutional knowledge flows in the context of educational system, Article in the full text of the Conference article proceedings, 2008.

5. Renāte Strazdiņa, Uldis Sukovskis, Mārīte Kirikova. Supporting inter-institutional knowledge feedbacks in the context of engineers’ educational system, Article in the full text of the Conference article proceedings, 2008.

6. SPRICE, R., KIRIKOVA, M. Feasibility study: New knowledge demands in turbulent business world. In: Proceedings of ISD2005, August 13 – 17, 2005, Karlstadt, Sweeden. In: Information Systems Development - Bridging the Gap between Academia and Industry, to be published by Springer.

7. LOCĀNS, D., SPRICE, R., SMĀĢIS, M., REITERS, A., HIBNERIS, A., ZAKREVSKIS, A., MATISONS, P., ĶIRŠAKMENS, J. Information Technologies for business management. Latvian Business Consultants Association, Riga, 2005. – 41 page.

8. SPRICE, R., MAKNIA, J. Managing IT/IS projects for Enterprise Integration. In: Proceedings of the 7th IFAC Symposium on Cost Oriented Automation, Elsevier Limited, Oxford, UK, 2004. -121. - 127. p. ISBN 0-08-044309 5

9. STRAZDIŅA R., KIRIKOVA M., RUDZĀJS P. Knowledge integration contemporary Business Informatics// 9th International Conference on Perspectives in Business Informatics Research: Local Proceedings (accepted), Germany, Rostock, Sept. 29 – Oct. 1, 2010. - pp -----.

10. KIRIKOVA M., STRAZDIŅA R., ANDERSONE I., SUKOVSKIS U. Quality of Study Programs: an Ecosystems Perspective// Workshop on Intelligent Educational Systems and Technology-enchanced Learning (INTEL-EDU) associated to the 13th East-European Conference, ADBIS 2009, 13th East-European Conference on Advaces in Databases and Information Systems (ADBIS 2009), LATVIA, Riga, September 7-9, 2009. - ---. pp

115

11. STRAZDINA R., STECJUKA J., ANDERSONE I, KIRIKOVA M. Statistical analysis for supporting inter-institutional knowledge flows in the context of educational system, Accepted at the 19th International Conference on Information Systems development (ISD2008), Paphos, Cyprus, August 25.-27, 2008.

12. NIKOFOROVA O., KIRIKOVA M., STRAZDINA R. An open work on research method in the field of systems engineering: the bachelor level. In: Scientific Proceedings of Riga Technical University, Computer Science, S. 5, Vol. 34, RTU, Riga, 2008, pp. 17-27, ISSN 1407-7493

13. KIRIKOVA M., STRAZDIŅA R., OSIS J., GRUNDSPEŅĶIS J. „Analysis of business process flexibility at different levels of abstraction” In proceedings of the 9th International Conference on Enterprise Information Systems (June, 12-16, 2007) Funchal, Madeira, p.386-396

14. NIKIFOROVA, O., KIRIKOVA, M., STRAZDINA, R. Some Issues on Research Essentials in the Field of Software Engineering: Simplified Look on Scientific Method for Bachelor Level Research In conference proceedings: ENASE 2007 (Barcelona).

15. NIKIFOROVA, O., STRAZDINA, R., KIRIKOVA, M. Bachelor Level Research Methodology In The Field Of System Engineering Paper In conference proceedings SEFI and IGIP Joint Annual Conference 2007.

116

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.

117

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.

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.

118

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).

119

CURRICULUM VITAE

1. General Information

Name, surname: Valentīna Urbāne;

Identity number: 080345-10110;

Birth place: Daugavpils, Latvija;

Home address: Vesetas street 12-1;

Education: University Education;

Academic degrees and scientific titles: associate professor; Dr.chem.;

Occupation: Associate professor of the Department of Labour and civil protection, assistant of

RTU chancellor;

Language skills: Latvian (fluent), Russian (fluent), English (some knowledge).

2. Scientific Activities and Publications (last 6 years)

- Scientific research ZP-2008/8 Slāpekļa oksīdu samazināšanas metodes granulu katlos; - Participating in IS project „Mēs sabiedrībā un mēs sabiedrībai”, (leader I. Rullis).

Publications internationally cited editions:

V. Urbāne. Darba traumatisms un profesionālo saslimšanu ekonomiskā sekas.//co-author I.

Jevinga// Tautsaimniecības un uzņēmējdarbības attīstības problēmas. International Scientific

Conference. Scientific Papers. Latvia. Riga, 2005.

V. Urbāne, A. Fracuzorova. Исследование химических факторов риска рабочей среды на

текстильном предприятии. I International Environmental Congress ”Ecology and life protection

of industrial-transport complexes”, Togliatty. Russia. 2007. 20.-23. sept.

Урбане В., Евинг И. Оценка инвестиций в мероприятиях по охране труда в строительной

индустрии Латвии. Россия, Санкт-Петербург. 2008.г. июнь. Международные чтения „Белые

ночи” – 2008. 238 – 242 стр.

J.Ieviņš,V.Urbāne. D.Mažrima. Akrilskābes nītrila bīdtanība un risku novēršanas pilnveidošana. In

Scientific Journal of RTU, Series 6, „Mašīnzinātne un transports”, Vol.”Intelektuālās transporta

sistēmas” - 2011. June.

A.Grigorjevs, V,Urbāne, Ekonomiskās tendences darba drošības un veselības aizsardzības

nodrošināšanā Latvijas rūpniecībā. In Scientific Journal of RTU, Series 6, „Mašīnzinātne un

transports” Vol. „Intelektuālās transporta sistēmas”- 2011. June.

I.Jevinga, V.Urbāne. Ekonomiskās krīzes ietekme uz darba traumatismu būvniecībā. In Scientific

Journal of RTU, Series 6 „Mašīnzinātne un transports”*. Vol. „Intelektuālās transporta sistēmas”-

2011. June.

120

Papers in revised editions:

V. Urbāne, N. Griķis. Darba aizsardzības sistēmas veidošana un izmaksas. //International

Scientific Conference. Scientific papers. Latvia. Riga, 2007. 30. March.

V. Urbāne, I. Jevinga, A. Lesnečonoks, J. Strautmanis. Aizsardzības sistēmas ieviešanas un

uzturēšanas izmaksas. International Scientific Conference. Scientific papers. Latvia. Riga, 2007.

30. March.

V. Urbāne, A. Grigorjevs. Darba drošības un veselības aizsardzības sistēmas izveidošanas

izmaksas. International Scientific Conference. Scientific papers. Latvia. Riga, 2007. 30. March.

V. Urbāne, O. Savicka. Putekļu iedarbība uz apkārtējo vidi un cilvēka organismu, kā vides

sastāvdaļu. International Scientific Conference. Scientific papers. Latvia. Riga, 2007. 30. March.

V. Urbāne, A. Bauze. Vēdināšanas kvalitāte. International Scientific Conference. Scientific papers.

Riga, 2007. 30. March.

V. Urbāne, A. Bauze. Darba slodze un tās nozīme ķīmisko vielu iedarbībā uz organismu.

International scientific conference “Research problems of technogenic environment protection”

Scientific papers.. Latvia. Riga, 2008. 9.-10. October.

V.Urbāne. I.Jevinga . Uzraudzības un darba aizsardzības kontroles pasākumu efektivitāte

būvniecībā. - Riga. RTU. 2009.

V. Urbāne, N. Šļitke. Darba aizsardzības efektivitātes kāpināšana, pielietojot integrētās

informācijas sistēmas. International scientific conference “Research problems of technogenic

environment protection” Scientific papers. Latvia. Riga, 2008. 9.-10. October.

Jevinga, Urbāne V. Uzraudzības un darba aizsardzības kontroles pasākumu efektivitāte

būvniecībā. International scientific conference “Research problems of technogenic environment

protection”. Latvia. Riga - 2010.

A.Smiltiņa-Plūdone. V.Urbāne .Darba vides risku faktori dārzeņu audzēšanā. 51. RTU conference

proceedings, session „Research problems of technogenic environment protection”. Riga.-2011.

V,Veličko. V.Urbāne. Biroja apgaismojuma vadības sistēmas pilnveidošana. 51. RTU conference

proceedings, session „Research problems of technogenic environment protection”. Riga-2011.g.

T.Čurakova. V.Urbāne. Savlaicīgs darba vides risku faktoru novērtējums un vadība – darba

drošības garantija. 51. RTU conference proceedings, session „Research problems of technogenic

environment protection” Riga- 2011.g

Monografs and Textbooks:

V. Urbāne, S. Lavendele. Bīstamo vielu pielietošanas drošība. Mācību grāmata. Riga, RTU 2005. 187 lpp.

V. Urbāne, S. Lavendele. Bīstamo vielu pielietošanas drošība. Mācību grāmata. II izdevums. Riga, RTU 2007. 199 lpp.

V. Urbāne. Starojumi un to bīstamība. Mācību līdzeklis. RTU. 2009. 87 lpp.

Participation with presentation at international conferences:

IV International Seminar „Development of Baltic Europe” entitled International and Transborder economic co-operation in the context of European, Integration, that took place in Torun 15 – 16th of June 2007.

121

First International Enviromental Congress (Third International Scientifikal Tehnical Conference „ECOLOGY AND LIFE PROTECTION OF INDUSTRIAL_TRANSPORT COMPLEXES” ELPIT 2007,20-23 september 2007 TOGLIATTY,RUSSIA

Eco-region and Baltic University conference Environmental Management Systems and CSR May 17-21.2011. Rogow. Poland

3. Pedagogical Activities (last 6 years)

Since 2011 doctoral student A,Grigorjevs

Supervised 44 master’s works 2005/2006; 2006/2007, 2007/2008; 2008/2009 2009/2010. and

2010/2011.

Courses:

Fundamentals of Labour Protection 1CP

Labour and Environment Protection 2CP

Safe Working Practice with Dangerous Substances 3CP

Participating in doctoral studies program “Environmental management” (Technogenic safety

management) preparation.

4. Organizational Competence Member of 48., 49. International Scientific Practical Conference organizing committee.

Member of 48., 49. International Scientific Practical Conference Scientific Journal editorial

board.

Member of RTU 50.,51. Scientific Conference organizing committee.

Chairman of RTU 50..51. Scientific Conference session „ Technogenic safety”.

Director of Consultative and Training Centre of the Technogenic Safety

Coordinator of doctoral studies program “Environmental management” (Technogenic safety

management), assistant of RTU chancellor.

5. Professional Advancement

Information Institute of Latvia (certificate).

Rīga Stradiņš University:

- Microclimate of work environment (certificate) - Psycho-emotional risk factors of work environment (certificate) - Biological risk factors of work environment (certificate)

6. Other Information

Participating with lecture: „Akrilnitrila transportēšanas drošība” (Latvian Republic experience) in

International Teachers Conference 17-21 May 2011 „Environmental Management Systems and

Corporate Social Responsibility”

122

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.

http://www.rtu.lv/

http://www.lza.lv/

http://www.lzp.lv/

http://www.lzp.lv/

123

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 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.

124

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.,

125

V.Zagursky(developer-ekspert of ERAF projects

No:2005/0131/VPD1/ESF/PIAA04/APK/3.2.3.2/0004/0067, „COMPUTER NETWORKS AND SYSTEMS

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

http://ics2008.csie.tku.edu.tw/

126

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

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.,

127

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.


128

PUBLICATIONS

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



14. “Global Logistics Influence to Operation of Ports in Latvia” (10 p.). Co-author J.

Vanags. Scientific Works of RTU, 2004.

129

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



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.

130

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

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.

131

Appendix 5 - Descriptions of study courses

RTU Course "Adaptive Processing of the Signals"

11103 Industriālās elektronikas un elektrotehnol.katedra

General data

Code EEI500

Course title Adaptive Processing of the Signals

Course status in the programme Compulsory/Courses of Limited Choice

Course level Post-graduate Studies

Course type Academic

Field of study Electronics and Telecommunications

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 Linear and non-linear amplifiers, digitalization of the signals, linear filters, adaptive and self-

adaptive filters, mathematics and modeling of adaptive filters, delta and delta-sigma modulation,

processing of adaptive signals in automatic control systems.

Goals and objectives of the course in terms of

competences and skills

The aim of the course is to form the understanding of interdisciplinary approach to adaptive

processing of electric signals, its application in robot technique and automation as well as neighbor

scientific fields; to provide the opportunity to obtain basic solutions of practical application; to

provide the opportunity to obtain knowledge about different basic principles of signals adaptive

processing and application of adaptive signals processing systems of elementary type. Having

successfully studied the course the students will be able to demonstrate their understanding of

adaptive signals processing definitions, their theoretical basis and different methods of adaptive

signals processing;

Structure and tasks of independent studies There are 4 laboratory works that are realized in groups (4-5 students). The students are expected to

complete independently the report on theoretical basics in the fields of adaptive signals processing

filters, infrared signals processing, 2-coordinate accelerated signals processing and for the process

of electric drive vibration measurement.

Recommended literature 1. Adaptive Signal Processing: Next Generation Solutions, Adali T., Haykin S.; John Wiley &

Sons, 2010; ISBN 0470195177, 9780470195178; http://books.google.com/

2. Informatics in control, automation and robotics, Braz J., Araújo H, Vieira A.; Springer, 2006;

ISBN 1402041365, 9781402041365; http://books.google.com/

3. Pulse Code Modulation Systems Design (1st ed.), Waggener B.; Boston, MA: Artech House,

1999; ISBN 0-89006-776-7.

Course prerequisites Electric circuits, electronics, mathematics, basics of prigramming.

Courses acquired before EEP203 Digital Electronics (basic level)

Course outline

Theme Hours

History of adaptive signals processing, modern situation and context. 2

Control of initial knowledge – computer test. 2

Sources and types of signals. 1

Necessity and aim of the signals processing. 1

Linear and non-linear amplifiers. Dynamic range. Frequency bandwidth. 2

Digitalization of the signals. 2

Linear filters. 1

132

Adaptive and self-adaptive filters. 3

Mathematics of adaptive filters. 6

Software of adaptive filters modeling. 4

Delta un delta-sigma modulation. 4

Processing of adaptive signals in automatic control systems. 2

Adaptive signals processing – within the frames of selection. 2

1.Lab.w. Review of adaptive signals processing (filters) in software application. 2

2.Lab.w. Infrared signal processing. 4

3.Lab.w. 2-coordinates acceleration meter signals processing. 4

4.Lab.w. Modeling of electric drive vibration measurement process. 6

Learning outcomes and assessment

Learning outcomes Assessment methods

The students are able to describe the types of signals processing in control systems. Test. Passed an exam

The students are able to calculate linear and non-linear amplifiers, their frequency bandwidth. They

can apply methods of signals digitalization.

Test. Passed an exam

The students are able to develop adaptive filters and apply software of adaptive filters modeling. Test. Passed an exam

The students are able to develop modules of adaptive signals processing in automatic control systems. 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 "Adaptive Systems in Industrial Electronics"


General data

Code EEI354

Course title Adaptive Systems in Industrial Electronics




Field of study Power and Electrical Engineering

Responsible instructor Gorobecs Mihails

Academic staff Gorobecs Mihails




Abstract Adaptive systems are the systems that automatically adjust themselves to outside conditions and

changes of electric or electro-mechanic control object, changing structure and parameters of control

device providing necessary quality of control. The main features of the adaptive system are the

possibilities for self-organization, self-learning and self-regulation with the use of expert systems ,

fuzzy logic, associative memory, neural networks and other methods, solving the tasks of extreme

control and optimization, automation control as well as searching, recognition, classification,

clasterization tasks.



The goal of the subject is to give knowledge about adaptive automatic control systems, their

features and to teach students to apply adaptive methods for the complex objects control.

Structure and tasks of independent studies Theoretic preparation for practical classes. Forming of the practical classes results.

Recommended literature 1. L.Ribickis, A.Ļevčenkovs, M.Gorobecs. Sistēmu teorijas pamati industriālās elektronikas

modelēšanā. Rīga, RTU, 2008 - 100 lpp.

2. L.Ribickis, A.Ļevčenkovs, N. Kunicina, M.Gorobecs. Ievads dinamisko procesu modelēšanā

133

mehatronikas sistēmās. Mācību grāmata. Rīga, RTU, 2006, 63. lpp.

3. Растригин Л.А.. Системы экстремального управления. – М.: Наука, 1974. – 632 с.

4. Растригин Л.А.. Современные методы управления сложными объектами. – М.: Сов.радио,

1980. – 232 с.

5. Юревич Е.И. Теория автоматического управления. – СПб.: БХВ, 2007 – 560 с.

6. Haykin S. Neural Networks. A Comprehensive Foundation. 2nd ed. – Prentice Hall, 2006 – 1104

p.

7. Abel P. IBM PC Assembler Language and Programming. - Prentice-Hall, 1992 – 447 p.

8. SIEMENS Microcontroller SAB80C166/83C166 16-Bit CMOS Single-Chip Microcontrollers for

Embedded Control Applications. User’s Manual 06.90 / 08.97. 315 p.

9. SIEMENS SIMATIC Programming with STEP 7. Edition 03/2006. – 650 p.

Course prerequisites Programming, electrical engineering.

Courses acquired before EEI352 Programming languages AND EEI481 Programming Technologies in Industrial Electronics

AND EEE223 Fundamentals of Electrical Engineering Theory

Course outline

Theme Hours

Control systems of the complex electric and mechanic objects. Closed systems. 2

Controllable objects and methods of expert evaluation. Criteria of control quality. 2

Adaptive identification in control systems. Algorithm of adaptive identification. Searching algorithms and adaptation. 2

Uninterruptable inertia objects. Adaptation of frequency in the inertia objects. 2

Extreme control. Self-regulated extreme control systems. 2

Adaptation in gradient methods. Self-learning in stochastic processes. 2

Adaptive and intelligent automatic control systems. 2

Self-regulated adaptive automatic control systems. 2

Adaptive control systems with optimization of dynamic and static modes. 2

Self-organized and self-learning adaptive automated control systems. 2

Adaptive automated control systems on the basis of fuzzy logic. 2

Adaptive automated control systems on the basis of expert systems. 2

Adaptive automated control systems on the basis of associative memory. 2

Adaptive automated control systems on the basis of neuron networks. 2

Self-organization principles and adaptation processes. Classification of adaptive sets. 2

Adaptive analysis of main components. Adaptation of models. 2

1. practical class: programming of adaptive methods fro SIEMENS PLC controllers in automated control systems. 4

2. practical class: programming of adaptive algorithms of SIEMENS microcontrollers in automated control systems. 4

3. practical class: adaptive control system of transport system electric drive on the basis of neural networks. 4

4. practical class: adaptive control system of traffic lights and electric transport flow. 4



The students are able to use languages for controllers programming in the realization of adaptive

control methods for the control of electric and electro-mechanic objects.

Practical class. Study project.

The students are able to solve extreme control tasks of the complex electro-mechanical objects,

develop robots and other electric devices adaptive control programs.

Practical class. Study project.

The students are able to define principles of adaptive systems, features and parameters, describe

methods of adaptive control, and control tasks.

Theoretical examinational questions.

The students are able to develop adaptive computer models for the systems robots and other electric

devices automatization and control in Simulink environment.

Practice in computer class. Study project.



134


1. * * 3.0 2.0 1.0 0.0 *

RTU Course "Analog and Digital Signal Filters"


General data

Code EEI357

Course title Analog and Digital Signal Filters





Responsible instructor Galkins Iļja

Academic staff Galkins Iļja




Abstract Filter classification of modern signal processing systems. Basics of filter theory. Phase amplitude

and complex frequency characteristics. Basics of filter theory. Phase amplitude and complex

frequency characteristics. Real-time digital signal processing input / output analog nodes. Analog

active filters, and their design. Direct and inverse discrete Fourier transformation. Direct and

inverse discrete signals z-transformation. Realization methods and parameters of finite and infinite

impulse characteristic digital filter with programmable logic matrix and digital signal processor.



To be able to develop real-time digital signal processing I/O analogue nodes, develop digital filters,

and realizē them in with programmable logic matrix and digital signal processor.

Structure and tasks of independent studies Creation of theoretical part of documentation before practice, analysis of practical experimental

results, conclusions, finalization of study work documentation.

Recommended literature E.W. Kamen, B.S. Heck, Fundamentals of Signals and Systems Using the Web and MATLAB,

Prentice Hall, 2007.

E.C. Ifeachor, B.W. Jervis, Digital Signal Processing: A Practical Approach. Prentice Hall, Pearson

Education Limited, 2002.

Айфичер Э.С., Джервис Б.У., Цифровая обработка сигналов: практический подход,

Издательство: Вильямс, 2004.

Course prerequisites Basics of Signal theory, electronical devices and microprocessor technics.

Courses acquired before RTR220 Basics of Signal Theory AND EEP579 Industrial Electronic Equipment

Course outline

Theme Hours

Introduction of the themes, used literature and requirements. 1

Filter classification of modern signal processing systems. 2

Basics of filter theory. Phase amplitude and complex frequency characteristics. 2

Real-time digital signal processing input / output analog nodes. Analogue signal quantization. ADC and DAC. 2

Analogous active filters, and their design on the base of operational amplifiers. 4

Direct and inverse discrete Fourier transformation. Direct and inverse discrete signals z-transformation. 3

Realization methods and parameters of finite impulse characteristic digital filter. 3

Realization methods and parameters of infinite impulse characteristic digital filter. 3

Introduction to Texas Instruments digital signal processor programming. 3

Introduction to Altera Cyclone FPGA programming matrix. 3

Design of Finite impulse characteristic digital filter. 3

Design of Infinite impulse characteristic digital filter. 3

Practice Nr.1. Active filter designs and modelling in Matlab/Simulink and SPICE software. 2

135

Practice Nr.2. Active filter study on operational amplifier basis. 2

Practice Nr.3. Realization of finite impulse characteristic digital filter in programmable logic matrix. 4

Practice Nr.4. Realization of finite impulse characteristic digital filter in digital signal processor. 2

Practice Nr.5. Realization of infinite impulse characteristic digital filter in programmable logic matrix. 4

Practice Nr.6. Realization of infinite impulse characteristic digital filter in digital signal processor. 2



To be able to recognize, design and practically develop filters for real-time digital signal processing

for I/O analog nodes.

Realization and presentation of Practice 1-2.

Passed an exam

To be able to develop and realize finite impulse characteristic digital filter in digital signal processor

and programmable logic matrix.


Passed an exam

To be able to develop and realize infinite impulse characteristic digital filter in digital signal

processor and programmable logic matrix.


Passed an exam




1. * * 3.0 2.0 1.0 0.0 *

RTU Course "Microprocessors - based Automation Systems"


General data

Code EEP504

Course title Microprocessors - based Automation Systems




Field of study Computer Science

Responsible instructor Raņķis Ivars

Academic staff Raņķis Ivars




Abstract The course has been composed for any student who has elementary knowledge in the field of

electrical engineering and programming and wish to gain basic practical skills of utilization of

microcontrollers MSP430. The course briefly discusses basic design features of microcontrollers

MSP430 in the context of various architectures of microprocessors, microcontrollers and peripheral

devices. The most significant part of the course is devoted to the programming of MSP430 –

including the programming of digital I/O, watchdog and arithmetical operations. The course is

based on practical studies and assumes active individual training of the students in the laboratory or

at home.



Ability to recognize the most significant elements of microprocessors and microprocessor systems

(processor, memory, peripheral devices), identify their architectures, benefits and drawbacks.

Ability to explain operation of CPU, memory, some peripheral devices (digital I/Os and watchdog)

and other significant part of MSP430. Skills of assembler programming of MSP430 and debugging

of the assembler programs utilizing its digital I/Os and watchdog with definite hardware

configuration. Skills of interfacing MSP430 with definite sensors and actuators are estimated as an

additional, extra, goal.

Structure and tasks of independent studies There are a lot of practical and laboratory exercises in the course related to the corresponding

theoretical material. The practical exercises are those that may be executed using only a personal

136

computer with MSP simulation software. The laboratory exercises assume utilization of the training

hardware (the training kit includes a programmer/debugger and training board equipped with LED

and pushbuttons) for development and debugging of the programs for MSP430. If necessary

students may be provided with the kit also for making their exercises at home.

Recommended literature I.Galkins, MSP430 mikrokontrolleru pielietošanas pamati, Rīga: RTU izdevniecība, 2009. gads,

229 lpp., ISBN 978-9984-32-460-9.

Course prerequisites Basic knowledge in the field of electrical engineering and programming.

Courses acquired before EEP475 Electronic Equipment AND EEI481 Programming Technologies in Industrial Electronics

Course outline

Theme Hours

Features of microcontrollers (MCU). General data about MSP430x1xx. Introduction into programming/debugging software. 3

Central processing unit (CPU) of MSP430: structure, special function registers, clock signal. 1

Core and emulated instructions of MSP430, formats of instructions, operands of instructions and addressing modes. 2

Functional groups of MSP430 commands. Numbers, assembler directives and comments in assembler programs. 3

Generating of operation codes for MSP430 instructions: impact of formats and addressing modes. 6

Length and execution time of MSP430 instructions: impact of formats and addressing modes. 3

Features of arithmetical operations in MSP430. 8-bit, 16-bit and longer numbers. Processing arrays.Features of arithmeti 6

Numerical conditions and cycles. Short and long software delays in MSP430. 3

Digital outputs of MSP430: connection, electrical parameters and control registers. Programming of the digital outputs. 3

Digital inputs of MSP430: connection, control registers and programming. Bit conditions in assembler programs. 3

Watchdog timer (WDT) of MSP430: operation modes, parameters and registers. Measuring time intervals using WDT. 3

Definition of interrupts. Types and programming of interrupts in MSP430. Measuring time intervals using WDT interrupts. 3

Interrupts of digital inputs/outputs in MSP430. Synchronous and asynchronous interrupts. Relative utilization of CPU. 3

Clock system of MSP430: sources of clock signals, frequency regulation, programming. 3

Programming MSP430 with C: brief C description, features of MCU programming with C. Mixed programs. 3



Ability to recognize the most significant elements of microprocessors and microprocessor systems

(processor, memory, peripheral devices), identify their architectures, benefits and drawbacks.

Final or local quiz on this topic passed. Passed

an exam

Ability to explain operation of CPU, memory, some peripheral devices (digital I/Os and watchdog)

and other significant part of MSP430.

Final or local quiz on this topic passed. Passed

an exam

Skills of assembler programming of MSP430 and debugging of theassembler programs utilizing its

digital I/Os and watchdog with definite hardware configuration.

Correctly made practical and laboratory works.

Final practical exercise passed. Passed an

exam

Skills of interfacing MSP430 with definite sensors and actuators. Correct interfacing of microcontroller with a

sensor or actuator on practical kit. Passed an

exam




1. * * 3.0 1.0 1.0 1.0 *

RTU Course "Autonomous systems and robots"

12307 Sistēmu teorijas un projektēšanas katedra

General data

Code DSP715

Course title Autonomous systems and robots

137





Responsible instructor Ņikitenko Agris

Academic staff Ņikitenko Agris


Language of instruction LV


Abstract The course provides knowledge about autonomous systems and robots. The course consists of

lectures and five practical tasks that enable to apply the most essential methods for autonomous

robot control.



The main goal is to provide theoretical knowledge about autonomous systems and robots, and

provide means for development of practical skills about autonomous robot control.

Structure and tasks of independent studies The course includes five assignments on: Mapping, Robot navigation, Decision making in

autonomous systems, Robot team mapping, Map merging.

Recommended literature 1) S.Sam Ge, F.L.Lewis Autonomous Mobile Robots: Sensing, Control, Decision Making and

Applications, Taylor & Francis Group, 2006

2) R.Siegwart, R. Naurbaghsh Introduction to autonomous mobile robots, MIT Press, 2004.

3) S.Russell, P.Norvig Artificial intelligence - a modern approach 2nd edition, Pearson Education

Inc., 2003.

Course prerequisites Mathematics

Courses acquired before

Course outline

Theme Hours

Introduction, terms of autonomous systems and robots, autonomous mobile robots 2

Sensors, sensor merging 6

Mapping and path planning 18

Decision making in autonomous systems 6

Autonomous robot teams 14

Examples and applications of autonomous systems 2



Is able to recognize and describe autonomous systems Corresponding exam questions

Is able to describe the sensors of autonomous systems and their applications Corresponding exam questions

Is able to describe and apply the main mapping approaches and path planning algorithms Corresponding exam questions and practical

tasks

Is able to describe and apply decision making methods in autonomous systems Corresponding exam questions and practical

task

Is able to describe and apply the main robot team mapping approaches Corresponding exam questions and practical

task




1. * 3.0 2.0 1.0 0.0 *

RTU Course ""

15325 Teorēt.mehānikas un materiālu pretestības katedra

138

General data

Code MTM406

Course title




Field of study Mechanics, Mechanical Engineering, Machine Building

Responsible instructor Vība Jānis




Abstract



Structure and tasks of independent studies

Recommended literature

1) O.Kepe,J.Vība.Teorētiskā mehānika.Rīga,Zvaigzne,1982.g.577lpp.,

2) Teorētiskā mehānika.Dinamika.Rīga,RTU,1944.-259.

3) O.Kepe,J.Vība.Teorētiskāmehānika.DinamikaII.Rīga,RTU,1996.-173.

Course prerequisites





1. * 3.0 2.0 1.0 0.0 *

RTU Course "Business Sociology"

01129 Sociālo zinātņu katedra

General data

Code HSP488

Course title Business Sociology


Course level Undergraduate Studies


Field of study Social Science

Responsible instructor Kuņickis Valerijs


Language of instruction LV, RU




Abstract The essense of sociology of business. Business as society's social institute. Person as entrepreneur.

Social functions of the business.



A main goal of this course is to provide the students with the necessary knowledge and skills to

organize entrepreneurial activity of labour groups and teams within organization. The main

competence areas developed by this couse are: competence for planning and managing business;

interaction and cooperation competence; competence for planning the professional career.

Structure and tasks of independent studies During semester students have to manage with: Theoretical studies. Case study. Essay. Practice.

Tests. Tasks.

Recommended literature 1. Biznesa terminu skaidrojošā vārdnīca. - Rīga, Kamene, 2007. 2. Biznesa terminu vārdnīca. -

139

Rīga, Jumava, 2001. 3. Garleja R., Vidnere M. Psiholoģijas un sociālās uzvedības aspekti

ekonomikā. - Rīga, RaKa, 2000. 4. Kuņickis V. Biznesa socioloģija. Mācību materiāli un

vingrinājumi. - Rīga, RTU, 2005. 5. Barach D., Jeffrey A. The Industrial Business and Society. -

London, Prentice Hall, 1997. 6. Odiorne J.S. Strategic Management of Human Resources. - San

Francisco, CA: Pitman, 2003.

Course prerequisites Not required.


Course outline

Theme Hours

1. The essense and subject of the business sociology. 4

2. Business-social institute of the society. 6

3. Social-economical structure of the society. 6

4. A person as an entrepreneur. The social portrait of an entrepreneur. 4

5. Labour groups and teams in business. 6

6. The essense, activity and main models of business-organizations. 4

7. The sociological analysis of economic ideologies. 2



Skills to compare and assess different social-economical systems and models. Practices.

Understand the specific and principles of business as social institute. Tasks. Essay.

Have a holistic knowledge to illustrate the system and interrelated components of society's social

structure.

Group discussion. Practices.

Is able to characterize personality's ability and readiness for entrepreneur's social role. Practice "Leader's map of the entrepreneur".

Tests.

Is able to participate in argumentative discussion/debate on business process, assess business

development tendencies.

Study. Group discussion.

Is able to diagnoze personality's needs and talants. Skill to design professional career module. Tests. Tasks. Practices.

The final learning outcomes and assessment- test.




1. * * 2.0 1.0 1.0 0.0 *

RTU Course "Basics of Occupational Safety"

22231 Darba un civilās aizsardzības katedra

General data

Code IDA117

Course title Basics of Occupational Safety



Course type Professional

Field of study Environmental Engineering and Management

Responsible instructor Urbāne Valentīna

Academic staff Urbāne Valentīna




140

Abstract The policy of the state and labour protections requirements. Harmful and dangerous factors of

working environment, their influence on a human body, principles of standardization. Measures for

elimination or reduction of this influence. The bases of fire protection.




Recommended literature 1. Brigers I., Kozlovs V., Urbāne, V.Ziemelis un c. Darba aizsardzība. Lekciju

konspekts. RTU, 2001. - 114 lpp.

2. Kozlovs V., Večena R., V.Ziemelis. Darba aizsardzība. Lekciju konspekts, 2. daļa. , RTU, Rīga -

2002. - 144 lpp.

3. Kaļķis V., Kristiņš I., Roja Ž.. Darba vides risku novērtēšanas vdlīnijas. Rīga, 2003., 72 lpp.

4. Darba aizsardzības Likuma vadlīnijas. Rīga, 2002. - 52 lpp.

5. Darba drošība.Labklājības ministrija, Rīga, 2002. - 288 lpp.

6.Ziemelis V. Elektrodrošība. Rīga, RTU, 2008.g.

7.Urbāne V., Lavendele S. Bīstamo vielu pielietošanas drošība. II izdevums. Rīga, RTU, 2009.g.

8.Urbāne V. Starojumi un to bīstamība. Rīga, RTU, 2009.g.

9.Kaļķis V.Darba risku novērtēšana. Rīga, LU, 2009.g.






1. * * 1.0 1.0 0.0 0.0 *

RTU Course "Data mining"


General data

Code DSP717

Course title Data mining










Abstract Data mining has emerged as one of the most exciting fields in Computer Science. Data mining aims

at finding useful regularities in large data sets. Interest in the field is motivated by the growth of

computerized data collections which are routinely kept by many organizations and commercial

enterprises, and by the high potential value of patterns discovered in those collections. In this

course it will be explored how this interdisciplinary field brings together techniques from databases,

statistics, machine learning, and information retrieval paying attention to the problems related to

robotics. The main data mining methods currently used, including data preprocessing,

classification, inductive learning, clustering, association rules mining, and other recent techniques

for data mining will be discussed.



This course aims at giving an insight into data mining opportunities and approaches, as well as

providing acquirements to apply particular methods.

Structure and tasks of independent studies Practical duties: home works include solving parlicular tasks based on algorithms discussed in the

lectures. Course work includes preparing report about a data mining issue not discussed in lectures

141

in detail and presenting it at class.

Recommended literature 1) Datu ieguve : pamati / Anatolijs Sukovs ... [u.c.] ; Rīgas Tehniskā universitāte. Datorzinātnes un

informācijas tehnoloģijas fakultāte. Informācijas tehnoloģijas institūts. Rīga : Drukātava, 2007. 130

lpp.

2) Datu ieguve : programmlīdzekļi / Sergejs Paršutins ... [u.c.] ; Rīgas Tehniskā universitāte.

Datorzinātnes un informācijas tehnoloģijas fakultāte. Informācijas tehnoloģijas institūts. Rīga :

[RTU], 2008. 111 lpp.

3) “Data Mining: Introductory and Advanced Topics”, Margaret H. Dunham,Pearson

4) “Data Mining : Concepts and Techniques”,Jiawei Han, Micheline Kamber, Morgan Kaufmann.



Course outline

Theme Hours

Introduction 3

Data, data preprocessing 6

Classification 3

Bayes classifier 3

K- nearest neighbors 3

Inductive learning 15

Clustering 6

Data mining tools 3

Association rules 3

Newest trends in data mining 3



Is able to orient oneself in data mining approaches Course work, exam

Is able to choose an appropriate approach or method for particular problem domain Practical assignments, exam

Is able to analyze the data and preprocess them using data mining methods Practical assignments, home work, exam

Is able to apply data mining methods for solving particular tasks Practical assignments, home work, exam




1. * 3.0 2.0 1.0 0.0 *

RTU Course "Multiagent Systems"


General data

Code DSP722

Course title Multiagent Systems





Responsible instructor Grundspeņķis Jānis

Academic staff Grundspeņķis Jānis


142



Abstract One of developing directions of artificial intelligence is based on the intelligent agent paradigm. Its

goal is to create systems that act rationally. Communities of agents form multiagent systems that

form the basics of distributed intelligent computing. Autonomous robot systems are important

application of such systems. The course considers the main topics of multiagent systems and

methodologies of their development. Main emphasis is on social capabilities of agents, like

multiagent interaction, communication and cooperation. The course gives an overview of

applications of multiagent systems and an insight in implementation of robotics as multiagent

systems.



The goal of the course is to give basic knowledge and to acquire skills how to evaluate and choose

appropriate methodology and methods for the design and development of robotic multiagent

system.

Structure and tasks of independent studies Students must work out a course work in which he/she needs to justify the choice of methodology

of the development of multiagent system and to design multiagent system. The designed system

should be some type of robotic systems (the type of the system the student must choose him/herself

after consultations with the teacher).

Recommended literature 1. Wooldridge M. Introduction to Multiagent Systems. John Wiley & Sons, England, 2002.

2. Padgham L. and Winikoff M. Developing Intelligent Agent Systems. A Practical Guide. John

Wiley & Sons, England, 2004.

3. Russell S. and Norvig P. Artificial Intelligence. A Modern Approach. Prentice Hall, New Jersey,

2003.

4. Bellifemine F., Caire G., Greenwood, D. Developing Multi-Agent Systems With JADE, Wiley,

2004. 286 p.

Course prerequisites Students must know algorithms used in artificial intelligence, like uninformed and informed search.

They should be familiar with knowledge representation schemas such as first order logic,

production rules, semantic networks, conceptual graphs and frames. Basic notions of intelligent

agents, agent characteristics and environments, should be known as well.

Courses acquired before DSP422 Artificial Intelligence

Course outline

Theme Hours

Multiagent systems and the concept of agent in the context of multiagent systems 4

Multiagent interactions 6

Reaching agreements in multiagent systems 10

Communication in multiagent systems 6

Co-operation in multiagent systems 8

Multiagent architectures 4

Development methodologies of multiagent systems 12

Applications of multiagent systems 8

Robotics and multiagent systems 6



Students will be able to determine utilities, preferences and dominant strategies Questions of the theoretical part of

examination

Students will be able to use interaction and negotiation protocols in multiagent systems and to choose

appropriate protocols, including the most appropriate auctions

Practical work, defence of course work,

questions of the theoretical part of examination

Students will have a good knowledge of agent communication languages Practical work, defence of course work

Students will be able to create a multiagent system for cooperative work Practical work, defence of course work,


Students will have knowledge about agent oriented software engineering and concepts used in it Practical work, defence of course work,

143


Students will be able to evaluate and to choose suitable methodology for the development of

multiagent system



Students will be able to design multliagent systems, including robotic multiagent systems Practical work, defence of course work,


Students will have good knowledge about possible applications of multiagent systems. They will be

capable to evaluate appropriateness of multiagent systems in various application domains






1. * 4.0 3.0 1.0 0.0 *

RTU Course "European Classical Philosophy"


General data

Code HFL438

Course title European Classical Philosophy




Field of study History and Philosophy

Responsible instructor Ozolzīle Gunārs

Academic staff Ozolzīle Gunārs




Abstract Introduction to the problems of philosophy. Ancient Greek philosophy (the Pre-Socratics, Plato,

Aristotle and their successore). Medieval pfilosophy (Augustine, Anselm, Aquinas, Duns Scotus,

William of Ockham). Modern philosophy (F.Bacon, Hobbes, Decartes, Spinoza, Locke, Berkley,

hume). German criticism (Kant) and absolute idealism (Hegel). European metaphysics (teachings

about existence) and rationalism (as the main method of realizing existence) achieves its highest

point, developing themes in modern philosophy about substance, cognition and objectivity criterion

about truth and also scientific methods of establishing them.



Study and learn to skillfully and systematically cultivate philosophical consciousness as an essential

every individual necessity, without which a formation of a human persona is impossible. Discover

and evaluate the intellectual sources of European spiritual culture focusing on the unfailing

resources of it. Learn to use in study process acquired thinking skills for shaping your civic stance

and in practically-professional activities. Master the heritage of Latvian philosophical ideas as the

most essential part of our nation’s intellectual life. Also understand its contribution to the European

spiritual life.

Structure and tasks of independent studies Studies of recommended literature and preparing a thought-out commentary for the single-handedly

chosen fragment of the text from a noteworthy European classical philosopher. It is necessary to

become well aquainted with the chosen authors creative biography, provide a description and an

assessment of the main ideas from that period, prepare and design a commentary for submission

and evaluation. In due time and pro-creatively prepare for practical work in seminars accordingly to

the due themes in calendar plan. Prepare for the exam.

Recommended literature Aristotelis. Nikomaha ētika. -R.: Zvaigzne, 1985

Benedikts Spinoza. Ētika. -R.: Zvaigzne ABC, 1998

Buceniece E. Saprāts nav ilūzija. -R.: Pētergailis, 1999

Filozofija tekstu fragmentos. Sast. V. Cers. -R.: RTU, 2007

Frensis Bēkons. Jaunais organons. -R.: Zvaigzne, 1989

144

Ideju vēsture Latvijā. Sast. E. Buceniece. -R.: Zvaigzne ABC, 1995 Imanuēls Kants. Tīrā prāta

kritika. -R.: A. Rolavs, 1931

Kūle M.,Kūlis R. Filosofija. -R.: Burtnieks, 1996

Marks Aurēlijs. Pašam sev.-R.: Zvaigzne, 1991

Pirmsokrātisko domātāju darbu fragmenti. sast. M. Vecvagars.-R.: Vaga, 1994

Platons. Menons. Dzīres. -R.: Zvaigzne, 1980

Renē Dekarts. Pārruna par metodi. -R.: Zvaigzne, 1978

Interneta resursi.

Course prerequisites The base for educational subjects in humanitarian sciences


Course outline

Theme Hours

Prehistory of philosophical thought. Mythological consciousness and its forms 2

Western philosophical beginnings in Ancient Greece (Nature philosophy) 2

Ancient Greek high classic philosophy (Socrates, Plato, Aristotle) 4

Hellenism period in Western philosophy 2

Philosophy in Middle Ages (Christianity, Arabic philosophy) 3

Problems of modern philosophy and cognitive methods (Fr. Bacon, R. Descartes) 3

Theme of substance in modern philosophy (R. Descartes, B. Spinoza, W. Leibniz) 2

Theme of sensualism in modern philosophy (T. Hobbs, J. Lock, D. Hume) 2

Golden age of rationalism and idealism German classical philosophy (I. Kant, J. Fichte, F.V.J. Seeling, G.V.F. Hegel) 6

19th century crises in rationalism and philosophy (natural sciences and philosophy of psychology and philosophy) 4

Exam and self evaluation form 2



Manage the main guidelines of European classical philosophy and be able to express your own well-

grounded opinion on philosophy, its history and role in the European cultural process.

Successful work in seminar program. Passed

exam.

Be able to list and describe the main stages of European philosophical evolution assessing them in

context.

Analyses of the chosen text.

Be able to describe and illustrate philosophical rationalism and constructive interactions between

separate sciences in a methodical manner in a methodological aspect using significant examples.

Successful work in seminar program.

Be able to consequently ground and defend your own world view in creative discussions with people

who have different opinions.

Essays and discussions in seminars




1. * * 2.0 1.0 1.0 0.0 *

RTU Course "Ethics"


General data

Code HFL432

Course title Ethics




145


Responsible instructor Ozolzīle Gunārs

Academic staff Ozolzīle Gunārs




Abstract Introduction to the problems of contemporary ethics and their connection to the ways and forms of

historically determined consciousness of morale. Among them: Utilitarianism. Hedonism The

existentialist ethics. The evolutionary ethics. Psychoanalysis and ethics. Interactions of ethical

standards, sanctions, conflicts, and priorities within contemporary contexts. Science and ethics.

Techniques and ethics. Ecology and ethics. Ethical problems in medicine. Social inequality and

ethics. Marxism ethics. Ect.



Clarify the priorities and connections (heritance) of contemporary moral consciousness with

historical orientation of human values. Learn to critically evaluate societal and ethical stereotypes in

society and acquire skills to overcome them. Prepare students for ethically evaluative decision

making in ambiguously moral situations of contemporary social interactions. Learn to separate the

scientific and technological progress from the risks of social moral degradation, which frequently

follows the first.

Structure and tasks of independent studies Systematical and theoretical studies of recommended literature. Independently choose and

formulate topical theme for a socio-ethical research (in the framework of the lecturers main theme),

gather enough information, facts and create a data base. Select a proper method that corresponds to

the established goal and process the gathered data to ascertain changes the phenomenon and

advance argumented prognosis. Develop recommendations to eliminate or reduce the open

negation. Summarize, design and in due time submit the research results for evaluation.

Recommended literature Epikūrs. Vēstules. Atziņas. Fragmenti. -R.: Liepnieks un Rītups, 2007

Hipokrātiskie raksti. -R.: Liepnieks un Rītups, 2003

Lasmane S. 20. gadsimta ētikas pavērsieni. -Rīga.: Zvaigzne ABC, 2004

Rietumeiropas morāles filozofija. Antoloģija. Sastādijusi S. Lasmane.-R.:

LU Akadēmiskais apgāds, 200

Rubenis A. Ētika XX gadsimtā. Praktiskā ētika. -R.: Zvaigzne ABC, 1996

Sartrs Ž. P. Domas un atklāsmes.-R.: Zvaigzne ABC, 2007

Tagadnes izaicinājums. Tekstus sakopojis I. Šuvajevs.-R.: Intelekts, 1996

Jűrgen Habermas. Moralbewusstsein und kommunikatives Handeln.-

Frankfurt am Main.: Suhrkamp Verlag, 1999

Jűrgen Habermas. Die Zukunft der menschlichen Natur.-Frankfurt am

Main, 2001

Interneta resursi un masu mēdijos sastopamā un atlasītā informācija

Course prerequisites Audio andr video equipment

Courses acquired before HFL336 Basic Ethics

Course outline

Theme Hours

Contemporary ethical problems and their connection with the ways and forms of historically defined consciousness of mora 2

Hedonism and utilitarianism ethics 2

Machiavellianism (classical and nowday) 2

Positivist ethics (Darvinism, Marxism etc.) 2

Psychoanalysis, analytical psychology and ethics 2

Humanitarian oriented (na?ve) optimism and contemporary ethical judgments 2

Modern science and ethics 3

Modern technology and ethics 3

Ecology and ethics 4

146

Modern medicine and ethics 2

Social problems ( unfairness, freedom) and ethics 6

Exam and self-evaluation 2



Not only manage the forms of value consciousness from theory and history, but also know how to

apply this knowledge, while inspecting and analyzing contemporary moral problems

Development of a theme for the unassisted

work.

Be able to independently select and analyze data, facts and documents for the practical work Pro-active and successful participation in

seminar program. Unassisted work.

Be ready to critically analyze frequently superficial or subjectively exaggerated opinions about

ethical themes in contemporary media

Successful participation in seminar discussions

Be able to precisely formulate un classify ethical themes and problems Test

Be able to theoretically and adequately argue while defending your own ethical position. Learn to

control and manage your own emotions in discussions with differently thinking opponents

Marks in the seminar discussions and the

presentation of your unassisted work

Final assessment of the studies - Test




1. * * 2.0 1.0 1.0 0.0 *

RTU Course "Embedded systems"

12216 Datoru tīklu un sistēmu teholoģijas katedra

General data

Code DST701

Course title Embedded systems





Responsible instructor Zagurskis Valerijs




Abstract The aims of studio subject are to give understanding about embedded systems at sensor network for

different industry and business implementations. Special attention was attracted for advanced

innovative technologies and implementations of microcontroller platforms, such as operational real

time system (RTOS). Three categories of microcontrollers are considered, which illustrated with

some examples by signal processing and converting processors (DSP). In subject content are

included embedded system design methods and service oriented architecture realization base topics

by using (RTOS). There are possibilities for student experimental and technological practice

works.. The students are introduced with embedded system realizations (wireless sensor network) at

laboratory tasks.



To train specialists, which can implement, develope, analyze embedded system technologies for

real control and management processes of the base indusry, business and society progress directions

Structure and tasks of independent studies Student requirements for preparing seminar and course work: Seminars for all lecture chapters.

Course work consisted with innovative embedded system technology perception with personal

proposed materials and themes. Student requirements for preparing laboratory works: Before

laboratory work students must be prepared for writing results as for theoretical as practical works.

Evaluation separation:exam and seminars- 50%, laboratory works-25%, course work-20%, presence

147

at lectures- 5%

Recommended literature 1. Morgan Kaufmann. Computer Architecture. 3rd edition, 2002. – 1141 pp.

2. Willam Stallings. Computer organization & Architecture. Sixth edition, Prentice-Hall, Inc.,

2003. – 826 pp.

3. V.Zagurskis, R. Kuzmenkovs, Harvardas arhitektūras RISC-procesoru ar sadalītu datu un

programmas atmiņas piekļuvi, (Laboratorijas darbi, mācību līdzekli), 2008.g., 29. lpp., RTU, DITF,

DADI, DTSTK, (elektr. vers.)

Course prerequisites Necessary bachelor academic (professional) degree engineer or native or social sciences directions

and also equate education directions.


Course outline

Theme Hours

Electronic signals and forms. 2

Microprocessors and microcontrollers architecture. 4

Microelectronics elements. 2

Memory organisation architecture. 2

Memory types for microcontrollers 4

Digital I/O lines in microcontrollers 4

Analog I/O lines and ADC in microcontrollers. 2

Interrupts and ISR (interrupt service routine). 4

Timers and PWM (pulse-wide modulation). 2

Watchdog timer and energy saving in microcontrollers. 2

Communication interfaces. 6

Microcontroller programming issues. 4

OS (operation systems) for embedded systems.. 4

ARM and PowerPC architectures. 4

FPGA(full programming gate array) in embedded systems. 2



Possibility to take in the base principles of the embedded systems , main advantage and limitations,

the knowledge of infrastructure elements and technology life cycles.

Successfully pass exam, which contents as

theoretical as situation analyze with tasks to

improve controlled processes by means of

embedded system technology implementation

Possibility argue embedded system utilization (non utilization) necessity consisted with industry

(business) process kind.

During situation analyze developed decision

for process improving, by means of embedded

system technology components.

Possibility to choose between appropriated methods and techniques take in account the main aims. By yourself perform laboratory works.




1. * 3.0 2.0 0.0 1.0 *

RTU Course "Industrial Relations"


General data

148

Code HSP483

Course title Industrial Relations





Responsible instructor Kuņickis Valerijs






Abstract The essence of the industrial relations. The components of the industrial relations. The principles of

the industrial relations organization. Different systems of the industrial relations.



The main goal of this cource is to provide the students with the necessary knowledge to organize

the industrial relations within the organization. The main competence areas developed by this

course are: competence for planning and managing the industrial relations; interaction and

cooperation competence; competence for planning a professional career.

Structure and tasks of independent studies During semester students have to manage with: Theoretical studies. Case studies. Essay. Practice.

Tests. Tasks.

Recommended literature 1. Garleja R., Vidnere M. Psiholoģijas un sociālās uzvedības aspekti ekonomikā. - Rīga, RaKa,

2000. 2. Industriālās attiecības. Mācību metodiskie materiāli. - Rīga, RTU, 2005. Andrew J.,

Dubrin F. Human Relations. A Job Oriental Approach. - Rochester, 2002. Brewster C., Hegewisch

A. Policy and Practice in European Human Resource Management. - London: Routledge, 2004. 5.

Ferner A., Hyman R. Indutrial Relationa in the New Europe. - Oxfors: Blackwell, 2002.6. Schuler

R.S. Managing Human Resources. - St. Paul, MN: West Publishing Co, 2005.

Course prerequisites Not necessary.


Course outline

Theme Hours

The essence of industrial relations. The historical development of the industrial relations. 4

Managing the human resources development and the human capital. 6

Social-psychological aspects of the industrial relations. 6

The different models of the industrial relations in the world (Europe, USA, Japan). 4

Indutrial democrasy and labour ethics. 4

Overcome of the industrial conflicts. 4

The social and labour legislation of the LR. 4



Skills to assess the essence of industrial relations, compare and characterize the different practical

systems.

Group discussion. Tasks.

Understand the specific of the industrial relations in Latvia. Case study. Essay.

Have a holistic knowledge to illustrate the structure and interrelated components of social

organizations.

Practice. Tests. Tasks.

Is able to characterize the tendencies of the human resources and human capital development. Group discussion. Tasks.

Is able to participate in argumentative discussion/debate on the industrial relations actual problems in

Latvia. Skills to assess possibilities of the professional career.

Group discussion. Practices. Tests.

Is able to diagnose the social problems of organizations and create the development module. Practice. Tasks.

The final learning outcomes and assessment- test.

149




1. * * 2.0 1.0 1.0 0.0 *

RTU Course "Industrial Communication Networks"


General data

Code EEI501

Course title Industrial Communication Networks





Responsible instructor Pumpurs Aivars

Academic staff Pumpurs Aivars






Abstract Basic notion of industrial communication networks, their architecture and features of utilization in

robotic systems and autonomous electric devices. Basic elements of wire and wireless networks.

OSI model. Interface equipment and communication protocols. Architecture of intelligent

communication networks. Connection of typical automatic elements in control scheme. Analysis of

industrial networks models. Computer control of robotic industrial processes.



The students will get the skills to define industrial communication networks in stationary and

mobile robotic systems, analyze operation of communication networks and synthesize new

industrial communication networks.

Structure and tasks of independent studies The students are required to complete 2 laboratory works totally 16 academic hours. Before each

laboratory work they are expected to summarize the theoretical basics of the question. After the

work a report should be completed and the laboratory work should be defended.

Recommended literature 1. L. Ribickis, N. Kuņicina, J. Čaik. Industriālo tīklu pamati, RTU, Rīga, 2007., 48 lpp.

2. R. Rutkauskas, V. Mačerauskas, Network for building and industry automation, Kaunas

Tehnoloģija, 2004., 385 p.

3. M. Ercegovac, T. Lang, J. H. Moreno. Introduction to Digital Systems.John Wiley & Sons, Int.,

1999., 498 p.

Course prerequisites General knowledge in computer science. EEI211 Computer science( special course in industrial

electronics)

Courses acquired before EEI211 Computer Studies (special course in industrial electronics)

Course outline

Theme Hours

Main principles of industrial communication networks architecture. 4

Architecture of communication networks and utilization features in robotic systems. 4

Basic elements of wire and wireless communication networks, OSI model. 4

Interface devices and communication protocols in robotic systems. 4

Principles of intelligent communication networks architecture. 4

Informative connection of typical automation elements in comtrol systems. 4

Analysis of industrial communication networks models. 4

Communication computer control systems of robotic manufacture and transport processes. 4

150

1. Lab.w. Basic elements of industrial communication networks. 8

2. Lab. w. Architecture of industrial computer networks, direct joint of devices. 8



The students are able to distinguish elements of communication and computer networks, describe

main principles of industrial communication networks architecture.

Completed, processed, formed, defended 1st

lab.work. Assessment. Passed an exam

The students are able to realize in practice the connection of industrial computer network elements

and testing of network operation.

Completed, processed, formed, defended 1st


The students are able to realize connection of two network elements and make an analysis of the

communication network operation.

Completed, processed, formed, defended 2nd


The students are able to synthesize a new connection and examine its work by means of industrial

communication network model. They should be able to evaluate the correspondence of the

connection.

Completed, processed, formed, defended 2nd





1. * * * 3.0 2.0 0.0 1.0 *

RTU Course "Electro-Magnetic Compatibility in Industrial Electronic Equipment"


General data

Code EEP581

Course title Electro-Magnetic Compatibility in Industrial Electronic Equipment






Academic staff Ribickis Leonīds






Abstract EMC regulations (EU 89/336 EEC) for industrial and domestic electrical equipment. Input and

output filters of electronic equipment, grounding, maintenance regulations. Methods and equipment

for detection of electromagnetic pollution.



The aim is to study calculation and testing methods of the parameters of electronic and electric

equipment electro-magnetic compatibility; to get skills to describe regulations of electro-magnetic

compatibility of industrial and domestic electronic equipment according to the EU directive 89/336;

to select input and output filters, to get knowledge of regulations of grounding and assembling of

electronic equipment; to skills to apply correctly methods and equipment for electro-magnetic

pollution determination.

Structure and tasks of independent studies Self-dependent work for mastering of the lectures material, preparation for tests and final exam.

Recommended literature 1. C. R. Paul. Electromagnetic Compatibility. Second Edition. John Wiley & Sons, 2006. 975 p.

2. A.Ločmelis, L.Ribickis Elektroiekārtu elektromagnētiskā savietojamība. - Rīga:RTU. 2003, 84

lpp

Course prerequisites Electrical engineering and electronics, Theoretical basics of electrical engineering, electronic

devices, power electronics.

151

Courses acquired before EEP344 Power Electronics AND EEP475 Electronic Equipment

Course outline

Theme Hours

Electromagnetic compatibility. Character of electro-magnetic interference. 2

Legislation (Latvian, EU, EMC directive, standards). 2

Emission of harmonic components, emitted controllability interference. 2

Interference emitted in the ether. 2

Measurements of harmonic components of current, emitted controllability interference. 2

ESD pulse-type interference immunity, Surge, EFT/Burst, industrial frequency magnetic field immunity. 2

Controllability interference immunity. 2

ESD, Surge, EFT/Burst, industrial frequency magnetic field immunity. 2

Shielding, grounding, filters. 2

Standard EN 61800-3 „Systems of electric drive with changing rotation speed”. 2

Problems of EMC in printed circuit boards in digital control systems. 2


Shielding, grounding, filters. 2


Information summarizing, tutorial. 2

Final test. 2



The students are able to describe types of EMC interference and influence of its parameters on the

environment.

Test examining the students’ ability to describe

types of EMC interference and influence of its

parameters on the environment.

The students are able to describe emission interference and methods of its testing. Test examining the students’ ability to to

describe emission interference and methods of

its testing.

The students are able to describe radiation interference and methods of its testing. Test, examining the students’ ability to

describe radiation interference and methods of

its testing.

The students are able to develop proposals for limitation of EMC interference of electronic and

electric circuits and devices.

Test examining the students’ ability to develop

proposals for limitation of EMC interference of

electronic and electric circuits and devices.

Exam.




1. * * 2.0 2.0 0.0 0.0 *

RTU Course "Industrial Process Automation (study project)"


General data

Code EEI502

Course title Industrial Process Automation (study project)

Course status in the programme Compulsory/Courses of Limited Choice; Courses of Free Choice



152

Field of study Electronics and Telecommunications








Abstract Design and project tasks of production process, automation problem, automation system elements.

Practical realization of industrial process automation elements, control systems, CNC machinery

automation.



To be able practically realize the industrial process automation tasks, understand the principles of

the project and realize them.

Structure and tasks of independent studies Analyze of learning literature, preparing for the practical work, programming tasks, report

preparation.

Recommended literature N.Mozga, A.Kamols. Mašīnbūves elastīgās automatizētās ražošanas projektēšanas pamati. Rīgas

Tehniskā universitāte. Mācību līdzeklis. RTU izdevniecība, Rīga-2006. - 92 lpp.

Fr.Sudenieks, A.Kamols, O.Liniņš, I.Boiko. Ražošanas Automatizācijas pamati. Rīgas Tehniskā

universitāte. Mašīnbūves tehnoloģijas institūts, Rīga-2006. - 119 lpp.

Sabri Cetinkunt. Mechatronics. University of Illinois at Chicago. Jon Willwy & sons, inc. 2007

Festo Didactic. Pneimatika, 4th Edition. Mācību grāmata. - 219 lpp.

A.Kaķītis, A.Galiņs, P.Leščevičs. Sensori un mērīšanas sistēmas. Latvijas Lauksaimniecības

universitāte.Tehniskā fakultāte. Mehānikas institūts. Jelgava-2008. - 395 lpp.

Lexicon of Control Technology. Festo Didactic KG, Esslingen, 1991. - 262 p.

Course prerequisites Knowledge of electrical drives, electrical devices, programming technology.

Courses acquired before EEP504 Microprocessors - based Automation Systems AND EEP579 Industrial Electronic

Equipment

Course outline

Theme Hours

Intruduction. Learning materials. Documentation. 2

Practice 1. Investigation and practical realization of distribution processes. 2

Practice 2. Investigation and practical realization of testing processes. 4

Practice 3. Investigation and practical realization of processing processes. 4

Practice 4. Investigation and practical realization of handling processes. 4

Practice 5. Investigation and practical realization of automated storage processes. 4

Practice 6. Investigation and practical realization of 5-axis industrial robot control. 4

Practice 7. Investigation and practical realisation of networked PLC and SCADA control system. 4

Final work. Realization of fully automated industrial process project. 4



To be capable of practical realization of testing, sorting, distribution, handling, processing, automated

storage system, 5-axis robot control process projects.

Practice 1-6.

To be able to explain SCADA and communication channel working principles, and to realize of

industrial process automation programming projects.

Practice 7.

To be able describe industrial process and manufacturing system elements, to realize fully automated

industrial process automation project.

Final study work.


Part Semester CP Hours per Week Tests Tests (free choice)

153

Autumn Spring Summer Lectures Practical Lab. Test Exam Work Test Exam Work

1. * * 2.0 0.0 2.0 0.0 * *

RTU Course "Inteligent robot motion planning"


General data

Code DSP714

Course title Inteligent robot motion planning









Abstract The course provides theoretical knowledge on classic and modern planning methods as well as

through individual practical assignments provides skills for application of the methods.



The course goal is to provide theoretical knowledge and practical skill for robot motion planning

methods application practice.

Structure and tasks of independent studies The course includes few practical assignments for individual work on the following chapters: 1)

Discrete planning methods; 2) Geometric representations and configuration spaces; 3) Continuous

planning methods.

Recommended literature 1) S.M. LaValle, Planning algorithms, Cambridge University Press, 2006

2) S.Russell, P.Norvig Artificial intelligence - a modern approach 2nd edition, Pearson Education

Inc., 2003.



Course outline

Theme Hours

Introduction 2

Discrete planning 6

Geometric representations and configuration space 8

Combinatorial planning 6

Extensions of basic planning methods 6

Introduction to decision theory 6

Planning under uncertainty 8

Differencial contraints 6



Is able to characterize planning problems for robotic systems Separate questions in final test

Is able to select particular methods for appropriate planning problems Separate questions in final test

Is able to apply discrete planning techniques Separate questions in final test. Assessment of

individual practical assignment.

Is able to apply continuous planning techniques Separate questions in final test. Assessment of

individual practical assignment.

Is able to describe configuration spaces and differential constraints essentials in planning context Separate questions in final test

154




1. * 3.0 2.0 1.0 0.0 *

RTU Course "New Product Marketing"

22108 Ražošanas un uzņēmējdarbības ekonomikas katedra

General data

Code IUE409

Course title New Product Marketing




Field of study Economics

Responsible instructor Magidenko Anatolijs

Academic staff Magidenko Anatolijs




Abstract Research and marketing. Market segmentation. Consumers and the system of production marketing.

Marketing factors, concepts, definitions. Model of the definition of marketing. Types of marketing

of new products. Role of quality in marketing of a new product. Product life cycle. Competitiveness

of a new product, pricing.




Recommended literature 1. F. Kotlers. Mārketinga pamati.- Rīga: Jumava, 2006.- 647 lpp.

2. Praude V. Mārketings. – Rīga: Izglītības soli, 2004. – 665 lpp.

3. Tirgzinības pamati: Mācību līdzeklis. / D.Kaparkalēja, A. Pavloviča, J.Matuzāns, E.Bušmeistere,

V.Suharevs, I.Rusmane. - Rīga: Jumava, 2002.- 305 lpp.

4. David Jober. Principles and practice of Marketing. - Berkshire : Hill Book Company Europe,

1995.- 745p.

5. Kotler Ph. Marketing management. - New Yersey : Prentice Hall, Inc., 2000. - 718p.






1. * 2.0 1.0 0.0 1.0 *

RTU Course "Commercial Operations"

22112 Vadībzinību katedra

General data

Code IRO213

Course title Commercial Operations

Course status in the programme Courses of Free Choice



155


Responsible instructor Zvanītājs Jānis

Academic staff Zvanītājs Jānis




Abstract Organizational and legal aspects of types and profile of commercial activities. Launching of

commercial operations. Tasks, planning. The logic of commercial business. Corporate culture.

Factors influencing operation of enterprise. Financing and investments. Reengineering of

enterprise, its management. The causes of crisis of commercial operations, insolvency,

rehabilitation, bankruptcy, liquidation. Commercial risk, levels and factors impacting the level of

risk.



To give concept on commercial operations as base of economic activities. To help to students to

understand foundation and action of commercial operations, influence of external and internal

environment.

To understand development of commercial operations in Latvia and features of different forms of

commercial operations. To know to found and organize commercial operations.

Structure and tasks of independent studies Study of literature of corresponding issues, preparation for seminars and test works on base of

lectures and recommended literature.

Recommended literature 1. Godins S., Veiksmes stratēģija.- Rīga, Izdevniecības nams Trīs, 2010

2. Leibus I., Pirmie soļi komercdarbībā.- Rīga, Lietišķās informācijas dienests, 2010

3. Abizāre V. Ievads uzņēmējdarbībā. – Rīga RaKa, 2004. – 140 lpp.

4. Caune J. Dzedonis A. Stratēģiskā vadīšana. – Rīga Kamene, 2000.

5. Kā kļūt par komersantu. – Rīga Kamene, 2002. – 185 lpp.

6. Komerclikums //http://www.likumi.lv

Course prerequisites disciplines of general economic education


Course outline

Theme Hours

Commercial operations, businessman, enterprise, its terms. 6

Process of foundation of commercial operations. 2

Objects and subjects of commercial operations. 4

Legal forms of commercial operations. 12

Transformation of commercial operations. 2

Crises of commercial operations and possibilities of its overcoming. 2

Elimination of commercial operations. 4



To know legislation of commercial operations. Seminar on significance of commercial

operation in national economy and problems of

determination and realization of main goals.

To know main conceptions, tasks and functions of commercial operations. Test work on main terms of commercial

operations.

To be able understand conditions and procedure of foundation commercial operations. Test work on main terms of commercial

operations.

To know describe subjects and objects of commercial operations. Test work on main terms of commercial

operations.

156

To know forms of commercial operations and essential notes and individuality of its actions. Test work on legal forms of commercial

operations, its notes and features.

To know causes and effects of crises of commercial forms. To know process of conversion of paying

capacity. To know essence of insolvency process.

Unassisted work - elaboration of plan of

paying capacity.




1. * * 2.0 2.0 0.0 0.0 * *

RTU Course "Artificial Intelligence"


General data

Code DSP422

Course title Artificial Intelligence





Responsible instructor Grundspeņķis Jānis




Abstract Artificial intelligence is developing towards four goals – to create systems that think or act like

humans, as well as systems that think or act rationally. In this course students acquire knowledge

about a modern approach to artificial intelligence – development of intelligent agents. The course is

focused on properties, environment, architectures and programs of intelligent agents, logical agents,

ontologies, planning, uncertain knowledge and reasoning, making simple and complex decisions,

inductive learning, learning decision trees, neural networks and reinforcement learning. In

development of a course work students must use their theoretical knowledge for implementation of

agent based intelligent systems and analysis of their performance.



The goal of the course is to give theoretical knowledge and practical skills for development of

agent-based intelligent computer systems.

Structure and tasks of independent studies Students independently must work out the course work to consolidate acquired theoretical

knowledge about modern approaches of intelligent system development; the workload is 16 hours.

The report of the course work must include theoretical and practical part, in which theoretical

formulation of a question and practical experiments are represented. The course work consists of

four laboratory tasks (Intelligent agents, Search, Planning, Inductive learning). Students have rights

to replace no more than two laboratory tasks with individual tasks with the same workload,

implementation of which requires development of software. The assessment of course work

contributes 40% of the final assessment.

Recommended literature 1. Russell S. and Norvig P. Artificial Intelligence. A Modern Approach. Pearson Education, Upper

Saddle River, New Jersay, 2003. (2006.gadā ir izdots grāmatas tulkojums krievu valodā)

2. Luger G.F. Artificial Intelligence. Structures and Strategies for Complex Problem Solving.

Addison-Wesley, Harlow, England, 2005.

Course prerequisites Basis strategies of state space search and knowledge representation schemas

Courses acquired before DSP332 Fundamentals of Artificial Intelligence

Course outline

Theme Hours

Definition and properties of intelligent agents 2

157

The structure of intelligent agents 2

Reflex agents and their varieties 2

Agent environments and their characteristics 2

Logical agents 2

Intelligent agents 4

Knowledge representation and construction of knowledge base for logical agents 2

Inference procedures of logical agents 2

Inference rules in first-order logic 2

General-purpose ontologies (categories and objects, situations and events, time and event calculus, intervals & actions 2

Uncertain knowledge and probabilistic reasoning 2

Bayesian networks, representing the full joint distribution, conditional independence relations 2

The basics of utility theory 2

Utility functions, dominance, preference structure and multiattribute utility 2

Searching 4

Decision networks and decision-theoretic expert systems 2

Sequential decision problems 2

Utilities of states and value iteration algorithm 2

Policy iteration 2

Planning 4

Learning agents and their components 2

Inductive learning and learning decision trees 2

Neural networks and their structures 2

Learning neural networks 2

Inductive learning 4

Perceptrons (single-layer feed-forward neural networks) and linearly separable functions 2

Multilayer feed-forward neural networks and back-propagation process 2

Principles of reinforcement learning 2



Students understand properties of intelligent agents, agent architectures and environments Definitions of agents and their properties must

be given and agent architectures as well as

properties of environment must be explained in

examination

Students understand agent structures and behaviour The first laboratory task or the corresponding

individual task

Students know structure of logical agents, knowledge representation and inference procedures Perceptions and actions of logical agent must

be defined and formalized, knowledge base

must be constructed and inference procedure

implemented in examination

Students know general-purpose ontologies and basic principles of their development Basic principles of category representation

must be described in examination

Students can apply various search algorithms The second laboratory task or the

corresponding individual task

Students understand structure of planning agent and representation of planning problem using formal

language

The third laboratory task or the corresponding

individual task

Students know methods of uncertain knowledge processing based on probabilistic reasoning Bayesian network must be built; basic

principles of utility theory must be defined and

used for construction of decision network in

examination

Students can apply modelling methods of simple and complex decision making agents Utilities of states must be calculated for

stochastic environment in examination

158

Students know essence of inductive learning and can apply methods of learning for decision trees and

neural networks

The fourth laboratory task or the corresponding

individual task

Students can apply algorithms of reinforcement learning Set of learning examples must be generated

and algorithms of reinforcement learning

(passive reinforcement learning and temporal

difference learning) must be used in

examination




1. * 4.0 3.0 0.0 1.0 *

RTU Course "Machine learning"


General data

Code DSP713

Course title Machine learning









Abstract The course addresses the question how to enable computers to learn from past experiences. It

introduces the field of machine learning describing a variety of learning paradigms, algorithms,

theoretical results and applications.



The objective is to give students fundamental knowledge about the key algorithms and theory that

form the foundation of machine learning as well as to train practical skill in machine learning

algorithms and methods

Structure and tasks of independent studies Every student is given 4 assignments for an individual work that matches to the following chapters:

decision trees, artificial neuron networks, genetic algorithms and reinforced learning.

Recommended literature 1) S.Russell, P.Norvig Artificial intelligence - a modern approach 2nd edition, Pearson Education

Inc., 2003.

2) T.Mitchell, M.Hill, Machine Learning, 1997.

Course prerequisites Mathematics, Probability theory


Course outline

Theme Hours

Introduction 2

Concept learning 4

Decision trees 4

Artificial Neural Networks 9

Bayesian Learning 4

Instance-Based Learning 6

Genetic Algorithms 9

Analytical Learning 6

Reinforcement Learning 4

159



Is able to describe the main principles, advantages and limitations of machine learning Appropriate questions in final test

Is able to select a particular method and provide appropriate arguments for optimization,

classification and recognition tasks.

Appropriate questions in final test. Individual

practical work.

Is able to apply machine learning methods that are appropriate for a particular tasks. Appropriate questions in final test. Individual

practical work.




1. * 3.0 2.0 1.0 0.0 *

RTU Course "Small Business Management"


General data

Code IUV438

Course title Small Business Management




Field of study Business Management and Administration

Responsible instructor Jakubāne Judīte

Academic staff Jakubāne Judīte




Abstract Limiting circumstances of entrepreneurship initation. Individual enterprise. Family enterprise.

Entrepreneurship of individuals. Systems ofaccounting, reports and control in small entreprise.




Recommended literature 1. Kapenieks A., Bruno Z., Lapiņa G., Ābeltiņš U. Kā uzsākt veiksmīgu biznesu. – Rīga: Zvaigzne

ABC, 2002. g.

2. Rurāne M. Uzņēmējdarbības organizēšana un plānošana. – R.: Biznesa augstskola „Turība”,

2002.- 330 lpp.

3. Rurāne M. Finanšu medžments – Rīga: RSEBAA, 2005.g. – 384.lpp.

4. Praude V., Beļčikovs J. Menedžments. Teorija un prakse. Otrais pārstrādātais izdevums. – R.:

Vaidelote, 2001. – 509 lpp.

5. Forands I. Vadītājs un vadīšana. – Rīga: Kamene, 1999. – 176 lpp.

6. Alsiņa R., Gertners G. Uzņēmējdarbības plānošanas principi un metodes. - Rīga:Tehniskā

universitāte, 2002.g

7. Inta Slavinska Uzņēmējdarbības plānošana un kontrole. – Rīga: Turība, 2003. g. – 154 lpp.

8.www.likumi.lv.

9.www.vdi.lv

10.www.lm.gov.lv.

11.„Bilance”

12.„Kapitāls”

13.Citi periodiskie izdevumi; LR Centrālās Statistikas pārvaldes informācija.

160






1. * * 2.0 2.0 0.0 0.0 *

RTU Course "Organization of Small Business"


General data

Code IRO423

Course title Organization of Small Business





Responsible instructor Zvanītājs Jānis

Academic staff Zvanītājs Jānis




Abstract Small and medium-sized enterprises (SMEs) and national economy. Manager as entrepreneur and

owner. Motivation for launching a business. Customers. Market research. SMEs environment.

Ways for entering the market. Franchising. Taxation policy and operation of SMEs. Organizational

structures of SMEs. Business plan. SMEs strategies



Overall objective - to give concept about processes of commercial operation (entrepreneurship), its

planning and ensuring. Achievable (specific) goals: to understand basic formulations of commercial

operation; to know estimate legal status of company, to establish and develop company, to know

planning resources of company, to know elaborate and estimate business plan.

Structure and tasks of independent studies Discipline is base for specialized disciplines studying in second year. Discipline has integration

role. It joins knowledge acquainted in economics, legislation, computer literacy, marketing,

mathematics, economic statistics, training methods, statistics.

Recommended literature Leibus I., Pirmie soļi komercdarbībā.- Rīga, Lietišķās informācijas dienests, 2010

Latvijas statistikas gadagrāmata, R., 2009.

Latvijas makroekonomiskie rādītāji, R., 2009

Abizāre V. Ievads uzņēmējdarbībā. – Rīga RaKa, 2004. – 140 lpp.

Kā kļūt par komersantu. – Rīga Kamene, 2002. – 185 lpp

Baranovskis N., Zvanītājs J., Uzņēmējdarbības resursu organizēšana, RTU, 2002.

Caune J. Dzedonis A. Stratēģiskā vadīšana. – Rīga Kamene, 2000.

LR likums "Komerclikums"// Latvijas Vēstnesis, 04.05.2000.

Uzņēmējdarbības organizēšana un plānošana. R.Kamene, 1999.g.

Uzņēmējdarbības organizēšana un plānošana, R.: Kamene, 1999.

PeterF. Drucker Innovation and entrepreneurship - Practice and Principles Butterworth, 1997.

M.Rurāne, Uzņēmējdarbības pamati - Turības mācību centrs, - R.; 1997.

Heinemann 1985. Revised reprint 1994. Reprint 1997.

Vadības grāmatvedība II.daļa. Lēmumu pieņemšana, Rīga, LR FM 1995.

III.daļa lēmumu pieņemšana, Plānošana un kontrole, Rīga, LR FM 1995.

Sērija: uzņēmējdarbības bibliotēka mazajā biznesā, Rīga: VTF, 1994.

Biznesa plāna ceļvedis, sabiedrība "Pētergailis", Rīga, 1994.

Uzņēmējdarbību regulējošie likumi un normatīvie akti.

Speciālie periodiskie izdevumi: Kapitāls, Komersants, Latvijas ekonomists, Dienas Bizness,

161

Bizness, u.c.

Course prerequisites economics of branch


Course outline

Theme Hours

Introduction. 2

Legal status of commercial operations, foundation of company. 4

Business idea. Methods of ideas generation. Practical business idea. 4

Planning of resources for comercial operations. 8

Internal and external environment of comercial operations, main factors of market, sale, competition, marketing. 4

Comercial risks, insurance, measures of environmental and labour protection. 5

Elaboration and estimation of business plan. 5



To know:

* basic formulations of commercial operation;

* estimate legal status of commercial company, foundation of company;

* planning resources of company.

Test works on issues.

To develop and estimate business plan. Development and presentation of business

plan.




1. * 2.0 2.0 0.0 0.0 *

RTU Course "Modern Production Technologies Basics"


General data

Code EEI503

Course title Modern Production Technologies Basics










Abstract Production processes, tasks of their automatization, elements of the automatization systems,

structure, operational principles. Industrial sensors, actuating mechanisms, control elements.

Programing and control of the robot motion path, structure of the conveyors and their control,

SCADA system, communication nets. CNC machines and systems, their connection with

technologic processes, control principles.



To teach the principles of automated production realization, base of the elements of production,

algorithmization and programming of control of the processes.

162

Structure and tasks of independent studies Hometasks in pneumatic drive, development of programms, preparation of practical works,

reporting on the works.

Recommended literature N.Mozga, A.Kamols. Mašīnbūves elastīgās automatizētās ražošanas projektēšanas pamati. Rīgas

Tehniskā universitāte. Mācību līdzeklis. RTU izdevniecība, Rīga-2006. - 92 lpp.

Fr.Sudenieks, A.Kamols, O.Liniņš, I.Boiko. Ražošanas Automatizācijas pamati. Rīgas Tehniskā

universitāte. Mašīnbūves tehnoloģijas institūts, Rīga-2006. - 119 lpp.

Sabri Cetinkunt. Mechatronics. University of Illinois at Chicago. Jon Willwy & sons, inc. 2007

Festo Didactic. Pneimatika, 4th Edition. Mācību grāmata. - 219 lpp.

A.Kaķītis, A.Galiņs, P.Leščevičs. Sensori un mērīšanas sistēmas. Latvijas Lauksaimniecības

universitāte.Tehniskā fakultāte. Mehānikas institūts. Jelgava-2008. - 395 lpp.

Lexicon of Control Technology. Festo Didactic KG, Esslingen, 1991. - 262 p.

Course prerequisites Knowledges in electrical drives, electronic equipment and programming technologies.

Courses acquired before EEP344 Power Electronics AND EEP475 Electronic Equipment AND EEI212 Fundamentals of

Electrical Drives AND EEI352 Programming languages AND EEI481 Programming Technologies

in Industrial Electronics

Course outline

Theme Hours

Technological processes and tasks of their automatization. 2

Levels of automatization, structural schemes, elements. 2

Industrial sensors, types, principles of operation, parameters, application. 6

Types of executive machines - hydraulic, pneumatic, electric. 4

Introduction into the structure of pneumatic control system, parameters. 2

PLC programmable logic controllers. 4

Types of industrial communication, protocols of information exchange. 2

Industrial robots, programming of motion control. 4

Application of SCADA system for visualization and control of the processes. 2

Digital controlled machines with NC and CNC. 4

1st. Practical work. Introduction into the structure of training FESTO small-size-plant. 4

2nd. Practical work. Investigation of mechatronic module function in the system of FESTO modular production. 4

3rd. Practical work. Development, examining annd diagnostics of the mechatronic modules algorithms. 4

4th. Practical work. Investigation of the conveyor operation. 4

5th. Practical work. Programming of industrial robots and control of the results. 4

6th. Practical work. Investigation of industrial sensors. 4

7th. Practical work. Control of pneumatic systems. 4

Final assessment. 4



The students should be able to characterise industrial production processes and elements of the

production systems.

Assessment work in the elements of production

processes and systems. Defended practical

work N1. Passed an exam.

The students are able to distinguish and select different industrial sensors. Defended practical work N2. Passed an exam.

The students can explain principles of operation and control of pneumatic systems. Work with calculation of pneumatic drive.

Passed an exam.

The students are able to explain SCADA and communication nets operation and structure. Test on SCADA and communication. Passed

an exam.

The students can program operation of conveyor and robots. Defended practical works N4, N5. Passed an

exam.

The students can explain operation and principles of programming of CNC machines. Successfully passed exam.


163



1. * * 4.0 2.0 2.0 0.0 *

RTU Course "Modern robot systems"


General data

Code DSP721

Course title Modern robot systems










Abstract Modern robot systems architecture key aspect is the relationship between software solutions and

mechanical solutions. Flexibly linking software and mechanical solutions it is possible to build

robot system that can be easily modified and its parts can be reused. The course covers robots

architectures and methods how to use different logics, mathematical formalisms and algorithms for

planning. Significant attention will be paid to swarm intelligence solutions.

The course practical part is organized as classroom courses where students will develop computer

programs in the Microsoft Robotics Studio environment to solve problems covered in theoretical

lectures.



The aim is to provide knowledge of robot architectures, planning methods, and theories necessary

for their analysis.

Tasks:

1) Be able to use different logics and mathematical formalisms for planning and realization of

communication.

2) Be able to use evolutionary computation and the swarm intelligence to solve various problems.

3) Be able to analyze the robot architectures.

4) Be able to analyze and implement control in distributed robot systems.

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. Andries P. Engelbrecht. Fundamentals of Computational Swarm Intelligence. – Wiley.

2006, - 672 p.

2. Russell C. Eberhart, Yuhui Shi, James Kennedy. Swarm Intelligence. – Morgan

Kaufmann. 2001, - 512 p.

3. Marco Dorigo, Thomas Stützle. Ant Colony Optimization. – The MIT Press. 2004, - 319

p.

4. David Poole, Alan Mackworth, Randy Goebel. Computational Intelligence: A Logical

Approach. - Oxford University Press. 1998, - 576 p.

5. Davide Sangiorgi, David Walker. The Pi-Calculus: A Theory of Mobile Processes. -

Cambridge University Press. 2003, - 596 p.

6. C. Hankin. An Introduction to Lambda Calculi for Computer Scientists. - College

Publications. 2004, - 180 p.

164

7. Antoni Ligeza. Logical Foundations for Rule-Based Systems. - Springer Berlin

Heidelberg. 2009, - 332 p.

8. Andrew S. Tanenbaum, Maarten Van Steen. Distributed Systems: Principles and

Paradigms. - Prentice Hall. 2006, - 704 p.

Course prerequisites Mathematics, Programming fundamentals


Course outline

Theme Hours

Introduction 1

Mathematical formalisms 6

Rule based systems in robotics 7

Function optimization in robotics 4

Evolutionary computation 6

Particle swarm optimization in robotics 6

Ant algorithms 4

Collective decision making in robot systems 4

Control in distributed robot systems 4

Robot architectures 6



Be able to work with a variety of mathematical formalisms, for example., situation calculus, event

calculus, lambda calculus, pi calculus, etc.

Practical works 1, 2 and 3. Exam questions

Know the principles of rule based systems and how to apply these knowledges in planning in

robotics.

Practical works 4, 5 and 6. Exam questions

Be able to use optimization methods Practical works 7, 8 and 9. Exam questions

Be able to use evolutionary computation methods Practical works 10, 11 and 12. Course

assignment. Exam questions

Be able to use different a swarm intelligence methods Practical works 13, 14, 15 and 16. Course

assignment. Exam questions

Be able to implement control in distributed robot systems Practical works 17 and 18. Exam questions

Be able to analyse different robot architectures Practical works 19 and 20. Exam questions




1. * 3.0 1.5 1.5 0.0 *

RTU Course "Pedagogy"


General data

Code HSP446

Course title Pedagogy




Field of study Pedagogy

Responsible instructor Lanka Anita

165

Academic staff Lanka Anita




Abstract The course deals with important aspects of pedagogy such as subject of pedagogy, different

philosophies of education, theories about teaching and learning. The students are introduced to

basic concepts of learning and the current pedagogical ideas.During the course students are

involved in different learning activities: group discussions, case studies, presentations . The aim of

activities is to show how the theory relates to the pedagogical practice. Students will be able to

develop the practical skills how to manage the education process. During the reflections promoted

by lecturer students will get deeper understanding of main issues of teaching process: pedagogical

style and motivation, interaction in pedagogical environment. Students will learn how to cooperate,

how to share the ideas, how to describe, anayse and evaluate concrete pedagogical situations .



The aim of course is to develop understanding of pedagogy as the science and art of education. The

main tasks of study course are:

to provide the students with basics of theory and practice in pedagogy;

to develop understanding the relationship between pedagogic theories , its concepts;

to develop skills of implementation a basic knowledge of pedagogy in specific context;

to emphasise the importance of active learning strategies;

to develop study skills and presentation skills.

Structure and tasks of independent studies Seminar discussions. Essay. Case study. Concept map. Presentation.

Recommended literature 1. Albrehta Dz. Didaktika. - R.: RaKa, 2001.

2. K.Bikše. Ievadlekciju kurss mūsdienu pozitīvajā pedagoģijā. Lūdzu, skolotāj… Lekciju

konspekts 1. Daļa. – R.: Kvalitātes vadība, 2008.

3.Briede B. u.c. Izglītojošās grupas un mācību plānošana.-Jelgava, 1998.

4.Briede B. u.c. Grupas darba nozīme sociālās kompetences attīstībā.-Ozolnieki,1999.

5.Constructivism as a Paradigm for Teaching and Learning

http://www.thirteen.org/edonline/concept2class/constructivism/index.html

6. Domāšanas māksla ikvienam jeb kā domāt ar prieku un azartu. - .Nordik,2010.

7.N.L.Geidžs, D.C.Berliners. Pedagoģiskā psiholoģija. – R.: Zvaigzne ABC, 1999.

8.Kooperatīvā mācīšanās. Metodika. – R.: RaKa, 2004.

9.Lanka A. Pedagoģiskais process. Mācību līdzeklis. – R.: RTU Izdevniecība, 2003.

10.Lanka A. Mācīšanās metodika. Lekciju kurss. – R.: RTU Izdevniecība, 2004.

11. Žogla I. Didaktikas teorētiskie pamati. – R.: RaKa, 2001.

Course prerequisites The course will be based on the active learning methods. An active participation in lectures and

seminars will be an advantage.

Courses acquired before HSP484 Psychology

Course outline

Theme Hours

Pedagogy: art or science? Branches of Pedagogical Science. 2

The subject of pedagogy. The relationship between pedagogic theory and practice. 2

Interpretation of current education issues. The values education. Development of moral values. 2

Different philosophies of Education. Theories about teaching . Theories about learning. Learning theories as a basis for 4

The roles of the teacher/lecturer. Pedagogical competence and ethical principles. 2

The individual nature of the learner. Diversity of students learning strategies and study skills. Individualization of t 4

The motivation for learning. 2

Learning as an active, social process. Dynamic interaction between task, teacher/lecturer and learner. Pedagogical comm 4

Elements in the teaching process. Learning content, teaching methods and forms. 4

Learning outcomes and assessment. Assessment criteria and methods for assessing student learning outcomes. 4

Competence based education and Quality Assurance. 2

166



Students will be able to describe, analyse and evaluate humanistic theories in pedagogy. Essay. Seminar discussions

Students will be able to compare different didactical approaches and describe the main ideas, evaluate

the pedagogical principles and teachers` role .

Case study.

Students will be able to reflect on their own learning skills and strategies. Concept map.

Students will be able to ilustrate and discribe their didactical consideration based on specific

example.

Practical tasks.

Students will be able to work with a problem oriented focus. Presentation of current issue in pedagogy.




1. * * 2.0 1.0 1.0 0.0 * *

RTU Course "Research Methods and Technical Writing"


General data

Code DSP718

Course title Research Methods and Technical Writing





Responsible instructor Strazdiņa Renāte

Academic staff Strazdiņa Renāte




Abstract Modern society is being moved towards a knowledge-based model within which innovative

solutions are created that can be applied to enhancing the economy. However, innovative solutions

can also be created through synthesizing existing knowledge. Scientific methods have been

designed and are applied specifically for this purpose, therefore being familiar with such methods

should be of benefit to students of any engineering science program. The main subject of the course

is the introduction to and practical application of scientific methods that can be used in computer

science research. Given that some of the students may not be familiar with the concept, the course

presents the types of scientific methods and possibilities of application thereof. Quantitative and

qualitative scientific methods are considered, the research process and its various steps are

analyzed, and the stages of drafting a scientific publication are set out. To ensure a more efficient

learning process, theoretical studies are complemented with a realistic research project of a nominal

volume; the results of this project shall be presented in a written report. A number of lectures are

dedicated to honing technical writing skills that can be applied to drafting course and final papers.



Learning outcomes Assessment criteria

Know – research process, main activities, results Successfully completed the plan of the

development of the master thesis

Know – research methods appropriate in Computer science research process Successfully

completed analysis of the research methods applicable in the student’s master thesis

Know – research paper development techniques and standards Successfully completed

analysis of the research papers

167

Can – find the most appropriate methods for the particular research Successfully completed

exercises

Can – do research according to the generally accepted methods, standards and techniques

Successfully completed exercises

Can– present the rese

Structure and tasks of independent studies The assignments are planned as an integral part of the study course. Every theoretical topic has an

associated practical exercise that should be performed by student individually.

Recommended literature Research methods in information / Alison Jane Pickard London : Facet Publ., 2007

Research methods for business students / Mark Saunders, Philip Lewis, Adrian Thornhill.Harlow,

England ;New York : Financial Times/Prentice Hall, 2007

Research methodology : a step-by-step guide for beginners / Ranjit Kumar. London ;Thousand

Oaks ;New Delhi : SAGE, 2005.

Course prerequisites No special requiements defined


Course outline

Theme Hours

Introduction: Research methods basics; Research process 2

Classification of the research methods, quantitative and qualitative research methods 2

Quantitative methods for data acquisition, analysis and processing 4

Qualitative methods for data acquisition, analysis and processing 4

Technical writing 8

Results of the research: form, structure and standards 4

The process of the research paper and master thesis development 8



Know – research process, main activities, results Successfully completed the plan of the

development of the master thesis

Know – research methods appropriate in Computer science research process Successfully completed analysis of the

research methods applicable in the student’s

master thesis

Know – research paper development techniques and standards Successfully completed analysis of the

research papers

Can – find the most appropriate methods for the particular research Successfully completed exercises

Can – do research according to the generally accepted methods, standards and techniques Successfully completed exercises

Can– present the research results according to the generally accepted technical requirements Technically correctly presented research

results




1. * 2.0 2.0 0.0 0.0 *

RTU Course "Presentation Skills"


General data

Code HFL433

Course title Presentation Skills


168




Responsible instructor Lejniece Zanda

Academic staff Lejniece Zanda




Abstract The subject teaches the theoretical aspects of presentation skills and develops an understanding of

the image of a person or an organization. The course teaches business communication norms and

provides knowledge on the structure and preparation of a public presentation, as well as on

speaking techniques. It also develops argumentation skills, ability to ask questions, give answers

and listen politely.



The aim of the study subject is to help acquire the basic skills necessary for presentations and for

purposeful image development that are required of the modern professionals. Students gain an

undersatnding of the behavior standards related to business communication, learn the basics of

visual, verbal and non-verbal communication, develop the skills to prepare, carry out and assess

public performances, as well as to differentiate types of public speech used at a university (paper or

work presentation, discussion,etc.).

Structure and tasks of independent studies The study process encompasses the following practical lessons:

1) a test and a discussion for preliminary knowledge assessment;

2) practical lessons (3 lessons): individual or group work — notion recognition and definition,

exercises, situation analysis; individual task — an essay or a situation description and analysis in

connection with the role of presentation skills in modern communication;

3) tests for determining the ability to recognize, define and choose the appropriate model of

behavior.

Recommended literature Odiņa A. Etiķete un protokols.-R.,2009.

Prokofjevs N. Lietišķo sarunu māksla.-R., 2006.

Kramiņš E. Runas prasme saziņā.- R.,2005.

Lejniece Z. Prezentācijas prasme. Lekciju konspekts.- E-studiju vide,www.ortus.lv

Lejniece Z. Prezentācijas prasme. Lekciju konspekts.- R.,RTU, 2004.

Dubkevičs L., Ķestere I. Saskarsme. Lietišķā etiķete.- R. 2003.

Mouls Dž. Biznesa kultūra un etiķete Eiropas valstīs.- R.,2003.

Dukulis I. Prezentācijas materiālu sagatavošana.- R.,2002.

Course prerequisites not necessary


Course outline

Theme Hours

1. Communication and presentation. The importance of presentation skills nowadays. 2

2. General bahavior standards and their role in the image development. 2

3. Business coomunication standards: telephone call, e-mail, business cards, presents, flowers, etc. 4

4. Personal image development. 4

5. Business protocol, its main elements. 4

6. Public speech as a type of a presentation. 2

7. The speaker and the audience, the interaction. 2

8. Speech structure and logic. Argumentation and proofs. Visual materials. 2

9. Non-verbal communication during speech. Listening skills. 4

10. Speech technique and culture. Peculiarities of a public speech at a university. 4

11. Final test. 2

169



1. Knowledge about what a presentation is, ability to discern its two meanings and to assess the

importance of presentation skills in relation to communication.

A test and a discussion for preliminary

knowledge assesment. Essay.

2. Ability to describe the main standards of behavior and of business communication, ability to apply

them in communication.

Exercises, final test questions.

3. Understanding of the importance of a purposefully developed personal image, ability to describe

and to compare different clothing styles and to choose clothing that is appropriate for the specific

situation.

Practical task- situation description and

analysis.

4. Ability to describe the protocol of business and official meetings and to recognize their main

elements.

Final test questions.

5. Ability to recognize public speech as a distinct type of presentation, to characterize the qualities

needed of a speaker and the parameters describing the audience.

Situation analysis, final test questions.

6. Ability to describe the structural elements of a public speech and their proportions, to recognize

different ways of proving one’s arguments; ability to group arguments.

Exercise, final test questions.

7. Ability to recognize the main elements of non-verbal communication and to use them effectively

during speech.

Exercise, final test questions.

8. Ability to characterize the technique and language culture of a public speech, to give examples of

the main types of public speeches used at a university (paper and work presentations, discussions,

etc.).

Situation analysis, discussion.




1. * * 2.0 1.0 1.0 0.0 *

RTU Course "Programming of Processes"

12306 Lietišķo datorzinātņu katedra

General data

Code DPI401

Course title Programming of Processes





Responsible instructor Sukovskis Uldis


Language of instruction LV, EN


Abstract This course covers the process management, theoretical and practical aspects of scheduling and

synchronization techniques, including the use of Petri net modeling process. Memory management,

including virtual memory and page replacement algorithms, distributed systems management

methods and algorithms are also included in the course. Students acquire skills for independent

analysis and presentation of theoretical material.



To learn theoretical foundations, methods and algorithms of the process management, memory

organization and management, and distributed computing systems management used in modern

operating systems. Develop skills for analysis and presentation of the theoretical material.

Structure and tasks of independent studies To use literature sources to perform analysis and prepare presentations.

Recommended literature Silberschatz A., Peterson J.L., Galvin P.B. Operating System Concepts. – 8th ed. Addison-Wesley

Publishing Company, 2005.

Stallings W. Operating Systems: Internals and Design Principles. Prentice Hall, 2009

170

Course prerequisites Operating system basics, graph theory


Course outline

Theme Hours

Introduction 2

Processes and threads, scheduling of processes 16

Coordination of processes, deadlocks 8

Petri nets for process modeling 6

Memory organization 8

Algorithms used for memory paging 8

Organization and scheduling of the disk storage 4

Distributed systems, their organization and process management 12



Is able to analyze advantages and disadvantages of the process control and planning algorithms. Assessment of the independently prepared

analysis of literature sources. Passed tests and

examination.

Is able to analyze Petri nets for process modeling. Passed tests and examination.

Has knowledge of the memory management principles and is able to analyze the memory

management algorithms.

Assessment of the independently prepared


examination.

Is able to explain the disk storage scheduling algorithms Assessment of the independently prepared

analysis of literature sources. Passed

examination.

Has knowledge of the distribution system characteristics and is able to explain the process

management for distributed systems.

Assessment of the independently prepared


examination.




1. * * 4.0 2.0 2.0 0.0 * *

RTU Course "Psychology"


General data

Code HSP484

Course title Psychology





Responsible instructor Šteinberga Airisa




Abstract Lecture course looks at fundamental definitions of psychology. It explains the preconditions for

psychology existing as science as well as psychologies main modes. The course core is made of

171

psychic processes. Human psychological mechanisms ar looked at in sel-research. Temperament is

looked at as one of mechanims for regulating human behaviour. The course analyses a little bit

personality quality and relationship questions.



After the end of the course students know definitions of general psychology, know to use them in

speech. They are able to create development plan of personality. They can diagnose psychological

problems in professional field.

Structure and tasks of independent studies Independent work is organized in lectures using handouts prepared by docent. Goal of independent

work is to aquire self-analysis skills and to identify psychological nature problems in texts or

personal experience.

Recommended literature A.Vorobjovs. Vispārīgā psiholoģija. R., Izglītības soļi, 2000.

D.Goulmens. Tava emocionālā inteliģence, R., Jumava, 2001

A. Ozoliņa Nucho, M.Vidnere. Stress: tā pārvarēšana un profilakse. R., Biznesa partneri, 2004

A.Šteinberga. Vispārīgā un personības psiholoģija/Lekciju kurss. R., RTU Izdevniecība, 2006.

Ž.Godfrua. Čto takoje psihologia. Moskva, Mir, 1994

M.Zeligman. Kak naučitsa optimizmu. Moskva, Veče - Persej - Ast, 1997

Svence, G., Pozitīvā psiholoģija, R., Zvaigzne, 2009., 215.lpp.

J. P. Iļjin. Psihologija tvorčestvo,kreativnosti, odorjonnosti, M., Piter, 2009

Ozoliņa Nucho, A., Vidnere, M., Garīgā inteliģence: meklējumi un attīstība, R., RAKA,

2007.,167.lpp.

Jegorovs, A., Uzvedības atkarības, R., RAKA, 2009.,229.lpp.

Course prerequisites not necessary


Course outline

Theme Hours

Psychology as science, its research subject, research methods and relevance to other sciences 2

Psyches place in structure of personality. Psyche and consciousness 2

Consciousness of sensuality: feelings as psychological phenomena, interaction of senses and perception 2

Perception and conceptions as references for sensuality 2

Attention: qualities, characterization, connection to other psychic processes 2

Interaction of personality and environment for keeping and managing attention 2

Characterization of memory qualities and processes, memory training 2

Thinking process, thinking and awareness 2

Connection of intellect and thinking. Imagination 2

Emotions and feelings, their characterization. Emotional intelligence. 2

Stress and its management. 2

Properties and development of will, psychological explanations for actions. 2

Temperament and character. 2

Personality and society: interaction as social perception, communication and relationships. 2

Verbal and non-verbal communication. 2

Importance of psyches process research and development in modern changing environment. 2



Psychology as science, its research subject, research methods and relevance to other sciences. Definition map

Consciousness of sensuality: feelings as psychological phenomena, interaction of senses and

perception.

Tasks and result analysis.

Attention: qualities, characterization, connection to other psychic processes. Understanding of definitions in text.

Characterization of memory qualities and processes, memory training. Tests, result analysis

Thinking process, thinking and awareness. Using and identifying thinking operations

while solving tasks

Emotions and feelings, their characterization. Emotional intelligence. Definition net.

172

Properties and development of will, psychological explanations for actions. Situation analysis.

Verbal and non-verbal communication. Test, result analysis

Final examination Test




1. * * 2.0 1.0 1.0 0.0 *

RTU Course "Robot Modeling and Virtual Prototyping"

12215 Datorvadības sistēmu profesora grupa

General data

Code DDI700

Course title Robot Modeling and Virtual Prototyping





Responsible instructor Markovičs Zigurds

Academic staff Markovičs Zigurds




Abstract In study course industrial robot (IR) virtual prototyping, modeling and simulations is reviewed.

Prototyping is divided in steps and includes IR work station development, work environment,

instrument and work object definition and configuration. Advanced prototyping includes

manipulator work in many components environment, were work synchronization tasks are

described and overlooked.

Robot modeling includes development of robot control principle and work execution program.

Subject is mainly based on practical lectures, where industrial robot irb1600 and RobotStudio

modeling software are considered.



In case of successful course accomplishment, student can without assistance develop random type

and configuration IR stations and can provide its programming.

Structure and tasks of independent studies To accomplish subject each student has to make laboratory works. They are in order that in the end

student develops full working IR station.

Recommended literature 1. Jorge Angeles. Fundamentals of Robotic Mechanical Systems. Theory, Methods, and

Algorithms- Third Edition. 2007 Springer Science+ Business Media, LLC;

2. Richard L. Shell, Ernest L. Hall. Handbook of Industrial Automation. 2000 Marced Dekker Inc.;

3. B. Siciliano, O.Khatib. Springer Handbook of robotics. Springer-Verlag Berlin Heidelberg 2008;

4. J. Norberto Pires. Industrial robots programming: building

applications for the factories of the future. 2007 Springer

Science+Business Media, LLC;

5. N. Muro, F. L. Lewis., C. T.Abdallah Robot Manipulator Control.

Theory and Practice- Second Edition. Marcel Dekker inc. 2004;

6. Paul E. Sandin. Robot Mechanisms and Mechanical Devices

Illustrated. 2003 by The McGraw-Hill Companies;

7. Ben-Zion Sandier. Robotics Designing the Mechanisms for Automated Machiner. 1999 by

Academic Press.

8. Matricu teorijas pielietojumi robottehnikā. RPI, Rīga, 1988.

9. Robottehniskās sistēmas un tehnoloģiskie kompleksi. Laboratorijas darbu apraksti. RPI, Rīga,

1987.

173

Course prerequisites Math, Robotics

Courses acquired before DIM204 Discrete Mathematics

Course outline

Theme Hours

1. Industrial robot (IR) history, classification, main structural elements and work tasks. 1

2. Manipulator kinematics, kinematic pairs and it technical realization 1

3. Manipulator coordinate systems 1

4. IR simple prototyping – robot station, work environment development and configuration 1

5. IR task execution instrumental case and used work object definition. Coordinate systems 2

6. Programming of manipulator movement (free form, linear, spherical, cyclic) 2

7. IR complex prototyping – manipulator movement in multi object environment. Manipulator and positioned synchronic

work

2

8. Task execution step modeling and simulation. Movement and general fault evaluation, robot technical component collisi 2

9. IR program composition, control principle and algorithm definition 1

10. IR remote control. Central and decentral control 1

11. Programming by using high level programming languages. 1

12. Industrial conveyor, line, district, and other industry level modeling. Unified control model development and simula 1



1. Teoretical knowledge about industrial robot history, structures and types Positive knowledge evaluation mark in exam

(1. p)

2. Knowledge about deeper teoretical questions which include questions about industrial robot

control systemsand structures

Student can show knowledge about given issue

(1. p)

3. Can define industrial robot intelectual control principles Positive knowledge evaluation mark in

particular questions in exam (1. p)

4. Student can prototype different level industrial robot systems, which includes work object and tool

definitions

Student can solve given laboratory work task.

Positive laboratory work evaluation (2. p)

5. Student can make station and work process modeling of an individual industrial robot Student can create work process model and

perform it by using particular software (2. p)

6. Student can develop solution of modeling of multi robot stations and their simultaneous work Positive result in practical works (1. p)

7. Student can solve direct and inverse manipulator kinematic task Positive mark in practical student work study

(2. p)




1. * 3.0 2.0 1.0 0.0 *

RTU Course "Fundamentals of Industrial Electronics"


General data

Code EEI504

Course title Fundamentals of Industrial Electronics





174

Responsible instructor Raņķis Ivars

Academic staff Krievs Oskars




Abstract Automation of manufacturing technologic processes and electronic junctions of automation

systems. Discrete control of manufacturing processes and its electronic elements. Analogue

electronic automation systems and its elements. Digital and analogue sensors in manufacturing

processes, its operation principles and typical realization. Junctions of analogue signal processing

on base of operational amplifiers. Junctions of digital processing systems. Systems of

programmable logical controllers, its structure and realization. Industrial communication networks

and their construction and classification. Systems safety elements, estimation of possible risks and

safety systems architecture.



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 have to carry out 4 practical laboratory exercises as well as independently design and

describe 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.

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 the topics to be covered, literature and requirements. 1

Classification of manufacturing systems, technology pyramid and tree. 1

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

Analogue industrial sensors and transducers, their operational principles and typical implementation. 4

The structure and basic properties of operational amplifiers. 2

Analogue signal conditioning with operational amplifiers. Instrumental amplifier. 4

Industrial power supply topologies, integrated voltage regulators. Switching mode power supplies. 2

Logic gates, synthesis and minimization of logic functions. 2

Integrated logic circuit families - DTL, TTL, CMOS, BiCMOS, ECL, GaAs devices, their structure and parameters. 6

Introduction to programmable logic controller (PLC) systems. The structure and modules of PLCs. „Ladder” diagrams. 2

Classification and structure of industrial communication networks. Common communication protocols. 2

Elements of safety systems, risk assessment and prevention, selection of safety system architecture. 2

Laboratory work No.1. Investigation of discrete control input and output devices. 4

Laboratory work No.2. Investigation of discrete and analogue sensors. 4

Laboratory work No.3. Investigation of typical operational amplifier circuits. 4

Laboratory work No.4. Investigation of logic circuit families. 4



Ability to recognize and apply typical discrete control input and output devices. Accomplished and defended lab. work No.1.

Passed an exam.

Ability to recognize and apply typical discrete and analogue sensors. Accomplished and defended lab. work No.2.

Passed an exam.

175

Ability to recognize and apply typical analogue signal conditioning modes with operational

amplifiers.

Accomplished and defended lab. work No.3.

Passed an exam.

Knowledge about parameters of different logic families and ability to implement them in practice. Accomplished and defended lab. work No.4.

Passed an exam.

Ability to design simple process control systems. Accomplished and defended home task. Passed

an exam.




1. * * 3.0 2.0 1.0 0.0 *

RTU Course "Scene Analysis and Computer Vision"

12212 Attēlu apstrādes un datorgrafikas profesoru grupa

General data

Code DAA422

Course title Scene Analysis and Computer Vision





Responsible instructor Glazs Aleksandrs




Abstract Image processing and analysis. Scene analysis and computer vision. Syntactic description of

scenes. Syntactic methods in scene analysis.Computer perception of 3D scenes. Perspective

transformations. Stereographics perception of 3D scenes.




Recommended literature Davies E.R. Machine Vision: Theory, Algorithms, Practicalities. 2nd Edition. Academic Press,

1997.






1. * 3.0 2.0 1.0 0.0 *

RTU Course "Sensors and sensor networks"

12216 Datoru tīklu un sistēmu teholoģijas katedra

General data

Code DST700

Course title Sensors and sensor networks





176

Responsible instructor Zagurskis Valerijs

Academic staff Zagurskis Valerijs






Abstract The aims of studio subject gives understanding about sensor network ( mobile, ambient, cognitive

networking) access for many kinds of controlled process. Many kinds technologies and

implementations of sensor networks are observed. Special attention was attracted for advanced

innovative technologies and implementations (as autonomous control, cognitive platforms,

heterogeneous and cluster multilevel sensor networks), research and modeling techniques for

architectural and infrastructure development. In subject content are included sensor network design

methods and service oriented architecture realization base topics. There are possibilities for student

experimental and technological practice works. It is proposed sensor network control and

management techniques which consisted with most popular methods and standards. The students

are introduced with wireless sensor network diversity and self organization.



To train specialists, which can implement, design, analyze sensor network technologies for real

control processes of the base industry and society progress directions

Structure and tasks of independent studies Student requirements for preparing seminar and course work:Seminars for all lecture chapters.

Course work consisted with inovative sensor network technology perception with personal

proposed materials and themes. Student requirements for preparing laboratory works: Beforel

laboratory work students must be prepared for writing results as for theoretical as experimet works.

Before lecture it is necessary repeat previous lecture matherials for sucessful understandin of the

theme.Evaluation separation: exam and seminars- 50%, laboratory works- 15%, course work-30%,

presence at lectures- 5%

Recommended literature ACM Academic Initiative materials http://portal.acm.org/dl.cfm , IEEE Academic Initiative

materials , http://www.computer.org/portal/web/csdl, DTSTK sagatavotie un izstrādātie mācību

līdzekļi, V.Zagurskis, Bezvadu vides piekļuves vadības protokoli, 2005.g., 22.lpp.,RTU, DITF,

DADI, DTSTK, ( elektr . vers.),V.Zagurskis, Pārklājums bezvadu speciālajos sensoru tīklos,

2006.g., 21.lpp., RTU, DITF, DADI, DTSTK, ( elektr . vers.),V. Zagurskis, Bezvadu tehnoloģiju

pielietošana sensoru tīklos, 2006.g., 99. lpp., RTU, DITF, DADI, DTSTK, ( elektr . vers.),

V.Zagurskis, R. Kuzmenkovs, Harvardas arhitektūras RISC-procesori ar sadalītu datu un

programmas atmiņas piekļuvi, (Laboratorijas darbi, mācību līdzekli), 2008.g., 29. lpp., RTU, DITF,

DADI, DTSTK, (elektr. vers.),Visi faili atrodas RTU ORTUS E-Studijas : Datoru tīklu un sistēmas

arhitektūra - DST 450; Datoru tīkli un sistēmas - DST477 V.Zagurskis:

https://moodle.rtu.lv/moodle/files/index.php

Course prerequisites Academic (professional) bachelor degree of engineer science, native science or economic science


Course outline

Theme Hours

Introduction sensor networks 2

Sensor types 2

Sensor measurements 4

Signal conversion 6

Digital signal processing 6

Data trasfer at sensor networks 4

Data transfer protocols 4

177

Transport level infrastructure 4

Sensor network architecture 6

Sensor network technology 4

Sensor network access at TCP/IP networks 4

Wireles sensor networks 8

Heterogenous and cluster wireles sensor networks 6

Security of sensor networks 4



Possibility to take in the base principles of the sensor networks, main advantage and limitations, the

knowledge of infrastructure elements and technology life cycles.

Successfully pass exam, which contents as

theoretical as situation analyze with tasks to

improve controlled processes by means of

sensor network technology implementation.

Possibility argue sensor network utilization (non utilization) necessity consisted with industry

(business) process kind.

During situation analyze developed decision

for process improving, by means of sensor

networks technology components.

By implementing corresponding sensor networks techniques possibility by yourself to use known

methods and models let’s integer industry (business) processes. Possibility to choose between

appropriated

By yourself perform course work.

Possibility to monitor sensor network technology limitations for controlled industry processes.

By yourself perform laboratory works.




1. * 4.0 2.0 1.0 1.0 *

RTU Course "Social Psychology"


General data

Code HSP430

Course title Social Psychology





Responsible instructor Gudzuka Sandra

Academic staff Gudzuka Sandra




Abstract The subject of social psychology. A small group as an object of psycholological investigation.

Conduct motivation in a group. Self-actualization. Psychology of mass.



Goals: Improve students' socio-psychological competence. Tasks. 1. Develop the ability to analyze

human and social psychological aspects of interaction. 2.Develop the skills to make a psychological

assessment of situations and people. 3. Developing self-assessment skills.

Structure and tasks of independent studies 1. Socio-psychological literature studies. 2. Specific empirical research for teaching duties, using

some of the psychological research methods. Presentation of the results. 3. Specific case description

and analysis.

178

Recommended literature Reņģe V. Sociālā psiholoģija.R., 2002

Karpova Ā. Personība.Teorijas un to radītāji. R., 1997.

S.Omārova.Cilvēks dzīvo grupā. R.,2002.

A.Vorobjovs. Sociālā psiholoģija. R., 2003.

Myers D.Social Psychology, 9 ed., 2010

Course prerequisites Not required.


Course outline

Theme Hours

1.Subject of social psychology, the relationship with sociology and psychology. 2

2. Social Psychology of engineering applications in technical fields. 2

3. The observation, test and experiment as research methods in social psychology. 4

4. Personality of the socio-psychological characteristics of the different paradigms. 4

5.I-Concept: the socialization processes and life scenarios. 4

6.Social perception and social atributions: research, artefacts, laws, phenomena. 4

7. Social impact of the expression: social pressure; obedience; authority and environmental factors. 4

8. Psychology of social treatment . 4

9.Large groups (the mass and the crowd) psychology. 2

10. Social aggression, conflicts and stress. 2



Able to describe and analyze the socio-psychological phenomena - Participation in the classes . Case

studies. Examination work. Test.

Able to apply social psychological knowledge in a particular situation. - Independent work and

presentation and analysis of the situation.

Able to conduct research interviews and psychological observation. - Learning tasks. Test.

Able to make the exposition and the specific situations in the psychological evaluation. - Constant

training exercise and exercise performance. Test. Final examination: Test.




1. * 2.0 1.0 1.0 0.0 *

RTU Course "Planning of Enterprise Operation"

22108 Ražošanas un uzņēmējdarbības ekonomikas katedra

General data

Code IUE439

Course title Planning of Enterprise Operation





Responsible instructor Mežiels Jānis


179



Abstract Key issues of methodology of planning. Main stages and requirements of decision making. Basic

issues of production planning: coordination of sales and production volumes with the potential of

an enterprise, planning of the required resources, resources management, planning of costs and

performance results, budget of an enterprise, plan for profit and loss, cash flow plan, planning the

balance. Evaluation of planned financial performance results.




Recommended literature 1. Alsiņa R., Gertners G. Uzņēmējdarbības plānošanas principi un metodes. - Rīga: RTU, 2005. -

229 lpp.

2. Alsiņa R., Zolotuhina K., Bojarenko J. Vadības grāmatvedības pamati. Rīga: RaKa, 2000. - 179

lpp.

3. Alsiņa R., Gertners G. Ražošanas plānošana. - Rīga: RTU, 1996. - 24 lpp.

4. Frolova L. Ekonomisko procesu matemātiskā modelēšana. - Rīga: Biznesa augstskola Turība,

1999. - 308 lpp.

5. K.G.Hofs. Biznesa ekonomika. - Rīga: SIA "Jāna Rozes apgāds", 2002. - 559 lpp.

6. Petrova L., Alsiņa R. Esi uzņēmējs! - Rīga: Kamene, 1999. - 184 lpp.

7. Rurāne M. Ražošana. - Rīga: Turības mācību centrs, 1998. - 184 lpp.

8. Rurāne M. Uzņēmējdarbības pamati. - Rīga: Turības mācību centrs, 1997. - 184 lpp.

9. Slavinska I. Uzņēmējdarbības plānošana un kontrole. – Rīga: Biznesa augstskola Turība, 2005. –

175 lpp.

10. Živitere M. Komercdarbības (biznesa) plāns. – R. Biznesa komplekss, 2000.-100 lpp.

11. Eugene F. Brigham. Fundamentals of Financial Management. – USA: the Orydem Press, 1995.

12. Drucker Peter F. Innovation and enterpreneurship – Practice and Principles Butterworth

Heinemann 1985. Revised reprint 1994. Reprint 1997.

13. Kuratko Donald F. Zrichard M. Hodgetts Enterpreneurship – a contemporary approach Third

edition. The Drayden Press, Harcourt Brace Collage Publishers 1989.

14. Henrik Herlau and Helgr Tetzschner. The Cube Modek: A Human Software. For Traoning and

Managing Enterpreneurship. Copenhagen Business School, 1994.

15. Котляр Э. Искуство и методи финансового анализа и планирование. – Москва: ИНЭК,

2004. – 156 с.

16. Попова В. М. Бизнес – планирование. – Москва: Финансы и статистика, 2006. – 814 с.

17. Широков Б. М. Малый бизнес: финансовая среда предпринимательства. – Москва:

Финансы и статистика, 2006. – 493 с.

18. Гаврилова А. Н., Сисоева Е. Ф., Барабанов А. И. Финансоый менеджмент – Москва:

КНОРУС, 2006. – 326 с.

19. Хьюберт К. Рамперсад Универсальная система показателей деятельности. – Москва:

АЛЬПИНА БИЗНЕС БУКС 2005. – 351 с.






1. * * 2.0 1.0 1.0 0.0 *

Documents

RIGA TECHNICAL UNIVERSITY - AIKNCaiknc.lv/zinojumi/en/RtuIntelRobSistM12en.pdf6.4.2 Riga Technical university academic ... To ensure the student's level of training for studies