Download pdf - The syllabus of the course Interdisciplinary studies on Automation … · 2018. 1. 11. · - Distributed Computer Systems - Industrial Computer Systems - Advanced Operating Systems

The syllabus of the course

Interdisciplinary studies on Automation and

Robotics, Electronics and Telecommunication,

and Computer Science /MSc/

at the Faculty of Automatic Control, Electronics

and Computer Science

Valid since the academic year 2012/2013

Gliwice, March 2012

2 | P a g e

Interdisciplinary studies on Automation and Robotics, Electronics and Telecommunication,

and Computer Science – full-time engineer studies.

1. A general description of the conducted studies

a) The name of the course: Interdisciplinary studies on Automation and Robotics,

Electronics and Telecommunication, and Computer Science – studies in English

b) The level of education: second degree studies/MSc

c) The scope of education: all-academic

d) The form of studies: full-time

e) The professional title awarded to a graduate: Master of Science

f) Classification of the area or areas of studies: technical studies area

g) Fields of science and scientific disciplines to which education results refer:

- field: technical sciences,

- disciplines: automatic control and robotics, electronics and

telecommunication, computer science

- related to other disciplines: mechanics, mathematics

h) Differences in comparison to other syllabuses with similarly defined education

aims and results conducted at the University:

- At the Silesian University of Technology there is no other course with a

similarly defined scope

2. Education results

a) Intended education results in the form of a table showing course results related to

area results: Annex No 1.

b) A table of coverage of education results for the education area(s) by education

results for the course with explanation for selecting ones and omitting other area

results: Annex No 2.

c) A table of coverage of education results for a qualification connected with an

engineer professional title by education results for the course with commentaries:

There is none because of classifying the course solely to the technical studies area.

3 | P a g e



3. Studies syllabus

a) The number of ECTS points necessary to obtain the qualification (professional title)

of a Master of Science: 90

b) The number of semesters: 3 semesters

c) The time, rules and form of training: At the second degree studies there is no

training.

d) The matrix of education results (the intended education result for the syllabus –

education modules in which the result is obtained): Annex No 4.

e) The description of the method how to check the selected education results (for the

syllabus) with relation to specific education modules (subjects), the form of classes

and tests realized within each of those forms: Annex No 6 (subjects cards).

f) The studies schedule with marked modules a student can choose from: Annex No

5.

Subjects (modules) for which 15 or 30 hours of lectures are held in English:

all classes are held in English

g) The studies structure – specializations or names of subjects (modules) included in

the specialization:

Semesters from 1 to 3 – education with specializations 'Automatic Control',

'Electronics' or 'Informatics'.

Subjects at the specialization 'Automatic Control':

- Advanced control - System identification - Computer integrated manufacturing - Expert systems - Industrial project - Modelling and simulation of industrial systems - Biotechnical systems - Programmable controllers - Sensors and actuators - Optional course A1 - Optional course A2 - Optional course A3

Subjects at the specialization 'Electronics':

- Advanced Topics in Mathematics - Computer Aided Electronic Circuits Design - Electromagnetic Compatibility - Programmable Controllers - Optoelectronics - Microelectronics

4 | P a g e



- Theory of Information and Coding - Analog Circuits Design - Bionics - Computer Networks - Digital Circuits Design - Exchange devices - Radiocommunication - Programmable Logic Devices - Cellular Phone Systems - Digital and Analog Telecommunication - Optional course E1

Subjects at the specialization 'Informatics':

- Digital Modeling and Simulation - Programming In Assembler - Introduction to Compilers - Concurrent Programming - Wireless Computer Networks - Distributed Computer Systems - Industrial Computer Systems - Advanced Operating Systems - Computer Graphics and Vision - Databases Applications - Optional course I1 - Optional course I2

The remaining subjects on semesters from 1 to 3 are common for all

specializations.

h) The rules of conducting a diploma process:

The rules of conducting a diploma process are defined by the Faculty 'Education

Quality Book', 'The Regulations of Studies at the Silesian University of Technology'

as well as a module card 'Final Project' in Annex No 6.

i) Overall quantity indexes

the overall number of ETCS points which a student must obtain at the classes

requiring a direct participation of university teachers:

Because of the specificity of education classes at individual specializations the

value of this index varies within minor ranges:

'Automatic Control' – 37 ECTS points (41% of all ECTS points).

'Electronics' – 38 ECTS points (42% of all ECTS points).

5 | P a g e



'Informatics' – 36 ECTS points (40% of all ECTS points).

Details are presented in the subjects cards – Annex No 6.

There has been accepted a way of interpreting and determining this index

presented in the publication: A. Kwaśniewski 'How to prepare education

syllabuses according to the requirements resulting from the National

Qualifications Framework for the Higher Education?', p.67 and 73. The value of the

index proving that at least half of the syllabus is realized in the form of classes

requiring a direct attendance of university teachers, according to the

interpretation method from p.76 in the publication mentioned above, is presented

in point 6b of this paper.

- the overall number of ECTS points which a student must obtain at classes in the

area of basic sciences, to which education results for a specific course, level and

educational scope refer: 6 ECTS points (7% of all ECTS points, details in the

subjects cards – Annex No 6),

including: 6 ECTS points at classes meant to gain knowledge in mathematics

(Optimization theory, Advanced topics in numerical methods),

the overall number of ECTS points which a student must obtain at practical

classes:

Because of the specificity of education classes at individual specializations the

value of this index varies within minor ranges:

'Automatic Control' – 59 ECTS points (66% of all ECTS points).

'Electronics' – 58ECTS points (64% of all ECTS points).

'Informatics' – 70 ECTS points (70% of all ECTS points).

Details in subjects cards – Annex No 6.

the minimum number of points which a student must obtain at physical

education classes:

There are no physical education classes at second degree studies.

the minimum number of ECTS points which a student must obtain while

realizing educational modules offered in another study course or all-university

classes:

4 ECTS points.

Foreign Language classes are treated as all-university classes.

6 | P a g e



in the case of study syllabus for a course classified in more than one education

area – the percentage share of ECTS points for each of those areas in the overall

number of ECTS points:

N/A.

4. The list of university teachers who make up a staff minimum for the study course

and degree

Annex No 7.

5. The internal system of providing the quality of education:

The system of providing the quality of education at the Faculty of Automatic Control,

Electronics and Computer Science is described in the Faculty 'Education Quality Book'.

6. Other information:

a) the way of applying international standards:

While developing the education syllabus of the course 'Automatic Control and

Robotics' the following items were taken into consideration:

• FEANI criteria (http://www.feani.org/site/);

• the study of IEEE Computer Society pt. “Computer Science Curriculum 2008: An

Interim Revision of CS2001”;

• (http://www.acm.org//education/curricula/ComputerScience2008.pdf).

• ABET Criteria for Accrediting Engineering Programs, 2012 – 2013

(http://www.abet.org/engineering-criteria-2012-2013/);

• EUR-ACE criteria, EURopean Acreditated Engineer Project

(http://www.engc.org.uk/international/eurace.aspx);

• experience gained during employees' trainings at leading foreign universities

in order to improve scientific and teaching qualifications within the project

POKL.04.01.02-00-270/08;

• experience gained during other trainings and employees' trips to foreign

universities, among others within Socrates Erasmus programme and other

international programmes;

http://www.feani.org/site/

http://www.google.com/url?q=http%3A%2F%2Fwww.acm.org%2F%2Feducation%2Fcurricula%2FComputerScience2008.pdf&sa=D&sntz=1&usg=AFQjCNGMAqfircuOohRmiAe4vc9zQ4dgMw















http://www.abet.org/engineering-criteria-2012-2013/

http://www.engc.org.uk/international/eurace.aspx

7 | P a g e



• lectures of Prof. Eric Mazur, Harvard University, on modern teaching methods

at a university.

b) proving (for full-time studies) that at least half of the education syllabus is realized

in the form of classes requiring a direct participation of university teachers:

74 ECTS points (82% of all ECTS points; details in the subjects cards – Annex No 6)

obtained at classes with a direct participation of an academic teacher:

There has been accepted a way of interpreting and determining this index

presented in the publication: A. Kwaśniewski 'How to prepare education syllabuses

according to the requirements resulting from the National Qualifications

Framework for the Higher Education?', p.76.

The index includes entirely ECTS points assigned to the module if the classes related

to it are described in the study schedule and are realized in a way requiring a direct

participation of university teachers.

An exception is an engineering project in whose case 4 ECTS points are counted in

the index (despite the fact that 20 ECTS points are assigned to the whole module),

which equals 120 hours of workload of university teachers or other people holding

classes.

c) proving that the education syllabus enables a student to choose education modules

which account to 30% of ECTS points:

82 ECTS points (91% of all ECTS points; details in subjects cards – Annex No 6) on

the modules chosen by a student.

d) in the case of studies leading to obtaining a qualification of the second degree, a

description of a scientific or scientific and research activity at the faculty managing

the studies:

The scientific activity of the Faculty of Automatic Control, Electronics and Computer

Science is conducted within three institutes. Every year a report on scientific and

research activities is presented in the document 'A Dean's Report on the Activities of

the Faculty of Automatic Control, Electronics and Computer Science at the Silesian

University of Technology'. The document is available for inspection in the Dean's

Office at the Faculty – contact person Barbara Małysiak (Msc), tel. 322371310.

Below there are presented basic areas of scientific and research activities conducted in individual institutes.

Institute of Automatic Control – supervisor of the specialisation 'Automatic Control'

The Institute of Automatic Control carries out research into automatic control, robotics, system analysis and signal conversion. In those areas the Institute has an established

8 | P a g e



position both in our country as well as abroad. Studies and their results in the following fields are especially worth mentioning: theory of control with missing data, adaptive and predictive control, expert systems, artificial intelligence, including especially intelligent control systems and visual systems with applications in robotics, computer-integrated manufacturing systems, simulations in real time, current measurement aspects from a system point of view, control in biomedical and biotechnological systems. Many of the previously mentioned interest areas belong to most current aspects of technical sciences, often connected with so-called high technology.

Individual departments belonging to the Institute of Automatic Control carry out continuously scientific research connected with automatic control and robotics, as a separate scientific discipline.

Below main research areas in individual departments are presented.

Automatic Control and Robotics

- control of systems with missing data whose model is probable, unequal or collective;

- control models and algorithms for different system and information structures;

- visual information conversion for control purposes;

- designing control and regulation systems;

- molecular docking;

- designing and control of mobile robots;

- application of artificial intelligence methods in robotics;

- intelligent industrial robots – control, interface.

Computer Control Systems

- identification of mathematical models of processes and adaptation control;

- industrial processes control – programmable controllers and SCADA systems;

- synthesis and simulation of random processes;

- expert systems and application of programming in logic with constraints;

- controllability and observability of dynamic systems;

- digital conversion of signals;

- active methods of reducing vibrations and noise.

Control Devices and Systems

- modelling, simulation and control of continuous industrial processes;

- simulation in real time for the sake of training a process operator and testing real automatic equipment;

- design, construction and testing of automatic devices;

- analysis, synthesis and testing advanced algorithms of regulating non-linear processes;

- synthesis and studying virtual automatic systems by means of the Internet;

- synthesis and studying systems of remote monitoring and control by means of the Internet;

9 | P a g e



- controlling microbiotechnology processes – microreactors.

Measurement systems

- basic metrology problems connected with the error theory, computer assisting of measurement procedures, conversion and analysis of measurement signals, wavelet analysis;

- construction of measuring converters, such as: pressure transducers, ultrasound flowmeters of fluids in pipelines and open canals, ionometric converters;

- studying ionometric sensors at the stand for multiparameter calibration and identification of characteristics, modelling by means of fuzzy sets;

- studying converters and pressure sensors, temperature compensation, construction of a stand for automatic testing and measuring metrological properties;

- evaluation methods of reliability, explosion hazard and spark-resistant systems.

Systems Engineering

- identification and modelling of signal paths and regulation feedbacks in biological systems (cell, genes networks, proteins);

- control in cell populations;

- visual information conversion for controlling purposes;

- recognition of standards and class prediction in technical and biological objects;

- biometry and biomathematical modelling in medicine, population genetics and functional genomics;

- introductory conversion, filtration and processing of coloured images;

- stereo vision and digital archiving for purposes of diagnostics, analysis and controlling of dynamic systems;

- application of artificial intelligence methods in controlling and molecular biology;

- control of production and flexible production systems;

- integrated systems of production management.

Institute of Computer Science – the supervisor of the specialization 'Informatics'

The research scope of the Institute refers to basic, development and applied research on most essential theoretical, programme and equipment problems which decide about computer science development. The following fields of research are preferred in the Institute:

Theoretical foundations of computer science:

- studies on calculating processes theory, including among others universal models of parallel calculations, theory of parallel algorithms and methods of searching for minimum, perfect hash functions, as well as evaluation methods of integration algorithms,

- studies on the theory of information conversion systems, including among others fundamentals of their designing, modelling and evaluation of their efficiency and effectiveness, aspects of non-classical architectures of computer systems as well as algorithms and systems of modelling dynamic systems,

10 | P a g e



- studies on the theory of evolutionary systems and its application in computer science, genetic algorithms,

- studies on the theory of information systems (converged and distributed ones), including among others expert and advisory systems, industrial dispatcher systems, including methods of conclusion, modification and databases security as well as conversion methods of different forms of data representations (phonic, graphical) and image recognition, including efficiency evaluation of those methods,

- studies on the theory of data safety and security in computer networks and systems.

Software

- developing methods of designing and creating software, programmes animation and visualisation, creating multi-media presentations,

- developing methods and creating software for converting natural languages especially for translating from and into a sign language,

- creating elements and completing tool software and modern programme environments,

- developing methods of programming industrial controllers,

- developing methods of modelling and connected with them programme tools for evaluating the work effectiveness of computer networks.

Databases

- developing methods of designing logical structure of relational databases,

- studies on query languages and pre-processors of those languages,

- working out a method of evaluating properties of databases management systems,

- integration of databases in a heterogeneous environment of computer networks,

- studies on controlling integrity and data security in distributed databases,

- studies on using and developing data warehouses.

Designing and construction of computer equipment

- methods of synthesis and analysis of digital systems,

- algorithms of simulation of digital and analog systems,

- methods of designing and construction of microprocessor systems, controllers, modules of images acquisition and processors of introductory image conversion, modules of sound acquisition and generation,

- silicon compilation in computer-assisted designing of VLSI systems,

- testing of digital systems.

Fundamentals and methods of creating computer network environments

- studies connected with the architecture of computer networks and wireless network segments, including industrial networks,

- theoretical attitudes and tools for implementation and testing communication protocols in computer networks,

- modelling and evaluating efficiency of computer networks,

- concurrent realization of algorithms in computer networks,

11 | P a g e



- developing tools creating an environment which enables to carry out parallel calculations in computer network systems,

- distributed operation systems and distributed databases,

- distributed realization of tasks in complex processes of searching in databases,

- computer networks safety.

The Institute of Electronics – the supervisor of the specialization 'Electronics'

Scientific research in the Institute of Electronics is carried out within the following disciplines: electronics, telecommunication and biocybemetics. The research includes the following fields of interest:

Fundamentals of Electronics and Radioengineering:

- analysis and synthesis of electronic systems,

- development and search for new measurement methods in electronics,

- electromagnetic field engineering,

- car electronics,

- power supply systems.

Circuits and Signals Theory

- computer-assisted methods of analysis and synthesis of electronic systems,

- designing, testing of analog electronic systems with application of genetic algorithms, fuzzy sets and neuron networks,

- modelling of digital systems in VHDL language,

- analysis and design with application of programmable analog systems,

- image conversion.

Digital and Microprocessor Systems

- designing and realization of digital devices in programmable logic systems (PLD, FPGA),

- designing and simulation of specialized self-contained systems, including especially problems of distributed design,

- industrial programmable controllers,

- automation of digital systems testing,

- multi-processor systems.

Biomedical Electronics

- design, construction and testing of medical electronic equipment,

- information conversion in medicine,

- medical informatics.

Microelectronics and Nanotechnology

- electronic materials,

12 | P a g e



- microelectronics and nanotechnology,

- vacuum technology.

Telecommunication

- methods of digital commutation in modern telecommunication systems,

- electromagnetic field and electromagnetic compatibility engineering,

- application of digital conversion of signals in telecommunication.

e) A method of considering the results of analysing the conformity of assumed

education results with the labour market's demands and a method of cooperation

with external stakeholders (e.g. a list of individuals from outside the faculty who

participate in syllabus processes or consult a draft of the education syllabus and

who have given their opinions on the proposed description of education results):

While realizing the POKL.04.01.02-00-209/11 project there is conducted a current

analysis of the labour market's demands and verification of the offered education

syllabus in the form of numerous multi-point surveys in companies functioning in

the economy branch based on knowledge, offering modern solutions in automatic

control and robotics, electronics and computer science, which take in students for

trainings and placements and employ graduates with a major in 'Macrocourse:

Automatic Control and Robotics, Electronics and Communications and Computer

Science – studies in English' (the course Control, Electronic and Information

Engineering is the continuation of Macrocourse). The surveys results are discussed

every semester during meetings of the Projects Councils, in which there participate

people in charge of education organization and syllabus for the course mentioned

above, companies representatives and students. Employers' expectations are also

expressed in the form of many letters of intent and agreements between

companies and the University or directly the Faculty. They are reflected in

systematic modifications of the study schedule, updating subjects programmes and

selecting university teachers to hold classes in individual subjects.

The proposed education syllabus is in accordance with the development vision of

the Faculty and University in the following years, with the projection of the

technological development in the region and country, Development Strategy of the

Silesian Voivodeship in years 2000-2020. While designing the education syllabus

the results of an ex-ante evaluation research were taken into account, which was

prepared for the Ministry of Science and Higher Education. The research evaluated

the possibilities of selecting optimal tools motivating candidates to choose

education at technical faculties. There were also taken into consideration

conclusions and recommendations included in the paper 'Engineer of the Future –

research and analysis into trends of developing engineer staff from the point of

view of changes in the economic structure of the Silesian Voivodeship', which

13 | P a g e



among other things identifies and characterizes innovative sectors and increasing

branches in the Silesian Voivodeship as well as the analysis of the labour market in

the Silesian Voivodeship and a presentation of demand for engineer specializations

as well as employers' expectations towards engineers.

The Institute of Computer Science is an organizer of the Employers' Forum whose

aim is a current exchange of information, experiences in the current studies

schedules as well as a discussion about a possibility and usefulness of introducing

changes and alterations into the schedules. The discussion results are taken into

consideration in planning an offer of subjects to choose from.

f) Annexes:

Annex No 1:

Intended education results in the form of a table showing course results related

to area results:

Annex No 2:

A table of coverage of education results for the education area(s) by education

results for the course with explanation for selecting ones and omitting other

area results:

Annex No 3:

N/A

Annex No 4:

The matrix of education results (the intended education result for the syllabus

– education modules in which the result is obtained):

Annex No 5:

The studies schedule with marked modules a student can choose from.

Annex No 6 (subjects cards):

The description of the method how to check the selected education results (for

the syllabus) with relation to specific education modules (subjects), the form of

classes and tests realized within each of those forms.

Annex No 7:

A list of university teachers making up a minimum staff for the study course

and degree.

14 | P a g e



15 | P a g e



The name of the course

Interdisciplinary studies on Automation and Robotics, Electronics and Telecommunication, and Computer Science

The education level: Postgraduate ( Msc) studies

The education scope: (all-academic)

Symbol Major education results

Reference to education

results for an area

KNOWLEDGE

K_W01 Extended and profound knowledge comprising elements of discrete and applied mathematics as well as optimization method, including mathematical methods necessary to model, carry out an analysis of an activity and synthesis of advanced analogue and digital systems.

T2A_W01

K_W02 Extended and profound knowledge of physics, chemistry and biology, suitable for the studied specialization.

T2A_W01

K_W03 Extended and profound knowledge of digital systems arithmetic as well as basic and advanced numerical methods.

T2A_W01

K_W04 Profound knowledge in the range of mathematical analytical and algorithmic methods of solving different classes of optimization problems and building models and methods of modelling complex systems.

T2A_W02

K_W05 Extended knowledge, typical of the studied specialization, of methods of analysis and synthesis of complex control, electronic and information systems.

T2A_W01 T2A_W03 T2A_W04

K_W06 Organized and theoretically based knowledge, typical of the studied specialization, in the range of description, design and analysis of simpkle and complex digital systems.

T2A_W01 T2A_W03 T2A_W04

K_W07 Organized knowledge in the range of planning an identification experiment, gathering measurements, choice of model structure and methods of model verification.

T2A_W01 T2A_W03

K_W08 Extended knowledge of methods of estimating parameters of static and dynamic models.

T2A_W01 T2A_W03

K_W09 Extended knowledge in the range of methods of equipment and human resources management.

T2A_W01 T2A_W09

16 | P a g e









results for an area

K_W10 Extended knowledge in the range of methods of concluding and their application in analyzing and designing algorithms.

T2A_W01 T2A_W03 T2A_W04

K_W11 Organized knowledge, typical of the studied specialization, in the range of construction of complex electronic systems and industrial automatic and information systems.

T2A_W03 T2A_W07

K_W12 Organized know ledge of programming tools and methods of computer simulation of objects and control systems.

T2A_W03 T2A_W05

K_W13 Extended knowledge of tasks, structures and operation principles of advanced control systems.

T2A_W03 T2A_W05

K_W14 Organized and theoretically based knowledge in the range of construction of industrial controllers, languages of their programming and their application in distributed control systems.

T2A_W03 T2A_W07

K_W015

Theoretically based, detailed knowledge connected with key aspects in the range of operation systems, Internet technologies and safety of computer systems and networks.

T2A_W02 T2A_W03 T2A_W07

K_W16 Knowledge of development trends and most important current achievements in the range of operation systems, safety of computer systems and databases.

T2A_W02 T2A_W04 T2A_W05

K_W17 Basic knowledge of management, including quality management and running economic activities.

T2A_W09

K_W18 Knowledge of the construction, operation principle and characteristics of sensors and elements as well as their application and production technologies.

T2A_W04 T2A_W05 T2A_W06

K_W19 Profound, theoretically based knowledge in the range of the theory of signals and methods of their conversion.

T2A W03 T2A_W04

17 | P a g e









results for an area

K_W20 Organized and theoretically based knowledge in the range of designing high-frequency systems, organized knowledge in the range of electromagnetic compatibility

T2A W04 T2A_W07

K_W21 Basic knowledge in the range of algorithms used in multimedia applications

T2A_W04

K_W22 Knowledge of development trends and the most important curent achievements in electronics, telecommunication and – to a lesser extent – computer science.

T2A_W05

K_W23 Theoretically based, detailed Knowles connected with key aspects in the range of operation and methods of creating concurrent and parallel programms

T2A_W04

K_W24 Organized, theoretically based general knowledge comprising key aspects in the range of databases, database applications as well as tools and methods of their designing and construction

T2A_W03

K_W25 Basic knowledge of life-cycle of technical devices, objects and systems

T2A_W06

K_W26 Knowledge necessary to comprehend social, economic, legal and other non-technical specifications of an engineering activity and their application in an engineering practice

T2A_W08

K_W27 Knowledge and understanding of basic concepts and rules in the range of industrial property law and copyright law as well as a necessity to manage intellectual property resources; ability to use patent information resources

T2A_W10

K_W28 Knowledge of general rules of creating and developing forms of individual entrepreneurship, which uses knowledge of automatic control, electronics and computer science

T2A_W11

SKILLS

18 | P a g e









results for an area

K_U01 Ability to collect, select and interpret critically technical information ; ability to formulate views, ideas, problems and their solutions as well as to espress and present them to specialists and non-specialists

T2A_U01

K_U02 Ability to communicate in English in the professional environment and other environments as well as at least another language using different both verbal and non-verbal techniques; language skills and Knowles of specialistic vocabulary in the range of automatic control and related scientific disciplines.

T2A_U02 T2A_U06

K_U03 Ability to prepare a scientific study in English, which presents results of individual scientific research.

T2A_U03

K_U04 Ability to prepare in English and at least in another language an oral presentation as well as to prepare and present a computer presentation on detailed aspects of computer science.

T2A_U04

K_U05 Ability to determine individually direction of further study and to realize the process of self-education.

T2A_U05

K_U06 Ability to formulate and realize engineering tasks, to use information-communication tools, methods and techniques, including computer technologies.

T2A_U07

K_U07 Ability to realize research and simulations using knowledge of mathematics as well as systems and models of continuous and discrete systems.

T2A_U08

K_U08 Ability to formulate a model of research and simulation for simple control systems as well as to carry out optimization of equipment and programme solutions.

T2A_U09

K_U09 Ability to formulate hypotheses connected with engineering problems and to test them by means of learnt mathematical methods, simulation systems and computer tools.

T2A_U11

19 | P a g e









results for an area

K_U10 Ability to assess the usefulness and possibility of using new achievements (techniques and technologies) in designs of control systems.

T2A_U12

K_U11 Ability to perform an analysis of functioning method and to evaluate current solutions of automatic systems.

T2A_U15

K_U12 Ability to integrate knowledge in the range of regulation systems with knowledge of other scientific fields and disciplines as well as to apply a system approach which also includes non-technical aspects.

T2A_U10

K_U13 Readiness to work in the industrial environment and knowledge of safety rules connected with work in industry.

T2A_U13

K_U14 Ability to realize an engineering task and to propose improvements (modifications) of current equipment and programme solutions.

T2A_U16

K_U15 Ability to identify and formulate specification of complex engineering tasks in the range of automatic control, also untypical tasks, taking into account their non-technical aspects.

T2A_U17

K_U16 Ability to solve complex engineering tasks, also untypical tasks including a reseach component in the range of controlling.

T2A_U18

K_U17 Ability – in accordance with the given specification, including non-technical aspects – to design a control system and realize this project, at least partly, using proper methods, techniques and tools, among them adapting current ones or designing new tools.

T2A_U19

K_U18 Ability to evaluate usefulness of methods and tools used to solve an engineering problem, and to notice limitations of those methods and tools.

T2A_U18

K_U19 Ability to perform an initial economic analysis of an engineering problem.

T2A_U14

20 | P a g e









results for an area

K_U20 Ability to analyze complex signals and signals conversion systems in the field of time and frequency, using analog and digital techniques as well as proper tools, if necessary modifying current ones or designing new methods of analysis.

T2A U14 T2A_U15

K_U21 Ability to design electronic sets and systems designed for different applications, among them systems with high frequency and systems of signals digital conversion.

T2A_U18

K_U22 Ability to configure communication devices in local and wide area (wiring and radio) teleinformation networks

T2A_U18

K_U23 Ability – while formulating and solving tasks connected with modeling and designing electronic elements, sets and systems as wll as designing the process of their production – to integrate the knowledge in the range of electronics, photonics, informatics, automatic control, telecommunication and other disciplines, applying a system approach, including non-technical aspects (among them economic and legal ones).

T2A_U11

SOCIAL COMPETENCe

K_K01 Understanding of the necessity for life-long learning, ability to inspire and organize the learning process of other people.

T2A_K01

K_K02 Awareness of importance and understanding of non-technical aspects and effects of engineering activities, including their influence on the environment and the related responsibility for decisions being made.

T2A_K02

K_K03 Ability to cooperate and work in a team taking on different roles. T2A_K03

K_K04 Ability to define and identify priorities which serve to perform a task defined by oneself and others.

T2A_K04

K_K05 Ability to identify and resolve dilemmas connected with doing the work.

T2A_K05

21 | P a g e









results for an area

K_K06 Ability to think and act in a resourceful way. T2A_K06

K_K07 Awareness of a social role of a technical university graduate, especially understanding of the need to formulate and inform the society, among others by means of mass media, about opinions on technological achievements and other aspects of engineering activities; making efforts to convey such information and opinions in a generally coherent way, justifying various points of view.

T2A_K07

22 | P a g e







Symbol Major education results for the field of study in

technical sciences


results for an area

KNOWLEDGE

T2A_W01 Extended and profound knowledge of mathematics, physics, chemistry and other areas related to the course being studied, useful for formulating and solving complexproblems in the range of the course being studied.

K_W01; K_W02 K_W03; K_W05 K_W06; K_W07 K_W08; K_W09 K_W10

T2A_W02 Detailed knowledge of study fields related to the course being studied.

K_W04; K_W15 K_W16

T2A_W03 Organized and theoretically-based general knowledge comprising key aspects of the course being studied.

K_W05; K_W06 K_W07; K_W08 K_W10; K_W11 K_W12; K_W13 K_W14; K_W15 K_W19; K_W24

T2A_W04 Theoretically-based detailed knowledge related to selected aspects from the range of the course being studied.

K_W05; K_W06 K_W10; K_W16 K_W18 K_W19; K_W20 K_W21; K_W23

T2A_W05 Knowledge of development trends and most important new achievements in scientific fields and disciplines connected with the course being studied and related scientific disciplines.

K_W12; K_W13 K_W16; K_W18 K_W22;

T2A_W06 Basic knowledge of the life cycle of devices, objects and technical systems.

K_W18; K_W25

T2A_W07 Knowledge of basic methods, techniques, tools and materials used for solving complex engineering problems in the range of the course being studied.

K_W11; K_W14 K_W15; K_W20

23 | P a g e








technical sciences


results for an area

T2A_W08 Knowledge necessary to understand social, economic, legal and other non-technical specifications of engineering activities and their application in the engineering practice.

K_W26

T2A_W09 Basic knowledge of management, including quality management and managing an economic activity.

K_W09; K_W17

T2A_W10 Knowledge and comprehension of basic notions and rules of industrial property protection and copyright law as well as the necessity to manage intellectual property resources; ability to use patent information resources.

K_W27

T2A_W11 Knowledge of general rules of creating and developing forms of individual enterprise, using knowledge of scientific fields and disciplines related to the course being studied.

K_W28

SKILLS

T2A_U01 Ability to obtain information from specialist literature, databases and other correctly selected sources, also in English or another foreign language regarded as a language of international communication in the range of the course being studied; ability to integrate obtained information, to interpret them and assess critically, as well as draw conclusions and formulate and justify opinions.

K_U01; K_U15

T2A_U02 Ability to communicate using different techniques in the professional environment and other environments, also in English or another foreign language regarded as a language of international communication in the range of the course being studied.

K_U02

24 | P a g e








technical sciences


results for an area

T2A_U03 Ability to prepare a scientific study in Polish and a short scientific report in a foreign language regarded as a basic one for scientific fields and disciplines related to the course being studied, which present results of individual scientific research.

K_U03

T2A_U04 Ability to prepare in Polish and a foreign language an oral presentation on detailed aspects of the course being studied.

K_U02; K_U04

T2A_U05 Ability to determine direction of further study and to realize the process of self-education.

K_U05

T2A_U06 Language skills in scientific fields and disciplines related to the course being studied, in accordance with the requirements defined for the B2 level of the Common European Framework of Reference for Languages Learning, Teaching and Assessment.

K_U02

T2A_U07 Ability to use information and communicative techniques suitable for performing tasks that are typical for engineering activities.

K_U06

T2A_U08 Ability to plan and conduct experiments, including measurements and computer simulations, to interpret obtained results and draw conclusions.

K_U07; K_U11

T2A_U09 Ability to use analytical, simulation and experimental methods to formulate and solve engineering problems and simple research problems.

K_U08

T2A_U10 Ability – while formulating and solving engineering problems - to integrate knowledge of scientific fields and disciplines related to the course being studied as well as to apply a system approach which also includes non-technical aspects.

K_U12

T2A_U11 Ability to formulate and test hypotheses connected with engineering problems and simple research tasks.

K_U09; K_U23

25 | P a g e








technical sciences


results for an area

T2A_U12 Ability to assess the usefulness and possibility to use new achievements (techniques and technologies) in the range of the course being studied.

K_U10

T2A_U13 Readiness to work in the industrial environment and knowledge of safety rules connected with this kind of work.

K_U13

T2A_U14 Ability to perform an initial economic analysis of undertaken engineering activities.

K_U19; K_U20

T2A_U15 Ability to analyze critically the way of functioning and to assess – especially in connection with the course being studied – current technical solutions, especiallly devices, objects, systems, processes, services.

K_U11; K_U20

T2A_U16 Ability to propose improvements (modifications) of the current technical solutions.

K_U14

T2A_U17 Ability to identify and formulate specification of complex engineering tasks characteristic for the range of the course being studied, also untypical tasks, taking into account their non-technical aspects.

K_U11; K_U15

T2A_U18 Ability to evaluate usefulness of methods and tools used to solve an engineering problem, characteristic for the course being studied, and to notice limitations of those methods and tools. Ability, also using conceptually new methods, to solve complex engineering problems characteristic for the course being studied, among them untypical tasks and tasks including a research component.

K_U08; K_U16, K_U18 K_U21; K_U22

26 | P a g e








technical sciences


results for an area

T2A_U19 Ability – in accordance with the given specification, including non-technical aspects – to design a complex device, object, system or process, connected with the course being studied and realize this project, at least partly, using proper methods, techniques and tools, among them adapting current ones or designing new tools.

K_U17

SOCIAL COMPETENCE

T2A_K01 Understanding the necessity for life-long learning, ability to inspire and organize the learning process of other people.

K_K01

T2A_K02 Awareness of the importance and understanding of non-technical aspects and effects of engineering activities, including their influence on the environment and connected with it responsibility for decisions being made.

K_K02

T2A_K03 Ability to cooperate and work in a team taking on different roles

K_K03

T2A_K04 Ability to determine proper priorities necessary for performing a task defined by oneself or others.

K_K04

T2A_K05 Ability to identify and resolve properly dilemmas connected with doing the work.

K_K05

T2A_K06 Ability to think and act in a resourceful way. K_K06

T2A_K07 Awareness of a social role of a technical university graduate, especially understanding the need to formulate and inform the society, among others by means of mass media, about opinions on technological achievements and other aspects of engineering activities; making efforts to convey such information and opinions in a generally coherent way, justifying various points of view.

K_K07

27 | P a g e



The matrix of education results

Ad

van

ced

Top

ics

in

Nu

mer

ical

Met

ho

ds

Op

tim

izat

ion

Theo

ry

Co

mp

ute

r

Syst

em

s

Secu

rity

Fin

al P

roje

ct

Fin

al P

roje

ct

Sem

inar

Pro

ject

Man

agem

ent

Fore

ign

lan

guag

e

Soci

al

Scie

nce

s

K_W01 + + K_W02 + K_W03 + K_W04 + + K_W05 K_W06 K_W07 K_W08 K_W09 + K_W10 K_W11 K_W12 K_W13 K_W14 + + K_W15 +

K_W16 + + K_W17 + + + K_W18 K_W19 K_W20 K_W21 K_W22 K_W23

K_W24 K_W25

K_W26 + + + K_W27 + + + K_W28 + + + K_U01 + + + + K_U02 + + + + + + + K_U03 + + + K_U04 + + + + K_U05 + + + K_U06 + + + + K_U07 + + + + K_U08 + + + + + K_U09 + + + + + K_U10 + + + + K_U11 + + + K_U12 + + + + + K_U13 + + + K_U14 + + +

28 | P a g e



Ad

van

ced

Top

ics

in

Nu

mer

ical

Met

ho

ds

Op

tim

izat

ion

Theo

ry

Co

mp

ute

r

Syst

em

s

Secu

rity

Fin

al P

roje

ct

Fin

al P

roje

ct

Sem

inar

Pro

ject

Man

agem

ent

Fore

ign

lan

guag

e

Soci

al

Scie

nce

s

K_U15 + + + K_U16 + + + K_U17 + + + + K_U18 + + + + + + K_U19 + + +

K_U20 K_U21 K_U22 K_U23 K_K01 + + + + + K_K02 + + + K_K03 + + K_K04 + + + + K_K05 + + + K_K06 + + + + K_K07 + + + +

29 | P a g e



Ad

van

ced

Co

ntr

ol

Syst

em

Iden

tifi

cati

on

Co

mp

ute

r In

tegr

ated

Man

ufa

ctu

rin

g

Exp

ert

Syst

ems

Ind

ust

rial

Pro

ject

Mo

del

ing

and

Sim

ula

tio

n o

f

Ind

ust

rial

Sys

tem

s

Bio

tech

nic

al S

yste

ms

Pro

gram

able

Co

ntr

olle

rs

Sen

sors

an

d

Act

uat

ors

Op

tio

nal

co

urs

e A

1

Op

tio

nal

co

urs

e A

2

Op

tio

nal

co

urs

e A

3

K_W01 + + + + K_W02 + + + K_W03 + + K_W04 + + + K_W05 + + + K_W06 + + K_W07 + + K_W08 + + K_W09 + K_W10 +

K_W11 + + K_W12 + + +

K_W13 + + + + K_W14 + + K_W15 +

K_W16 + K_W17

K_W18 + + + K_W19 + K_W20 K_W21 K_W22 + K_W23 K_W24 K_W25 + + +

K_W26 + K_W27 +

K_W28 K_U01 + + K_U02 + K_U03 + K_U04 + K_U05 K_U06 + + + + + K_U07 + + + + + K_U08 + K_U09 + + + + K_U10 + + K_U11 + + + K_U12 + + + K_U13 K_U14 + + + +

30 | P a g e



Ad

van

ced

Co

ntr

ol

Syst

em

Iden

tifi

cati

on

Co

mp

ute

r In

tegr

ated

Man

ufa

ctu

rin

g

Exp

ert

Syst

ems

Ind

ust

rial

Pro

ject

Mo

del

ing

and

Sim

ula

tio

n o

f

Ind

ust

rial

Sys

tem

s

Bio

tech

nic

al S

yste

ms

Pro

gram

able

Co

ntr

olle

rs

Sen

sors

an

d

Act

uat

ors

Op

tio

nal

co

urs

e A

1

Op

tio

nal

co

urs

e A

2

Op

tio

nal

co

urs

e A

3

K_U15 + + + + K_U16 + + + + + K_U17 + + + K_U18 + + + K_U19 + K_U20 K_U21 K_U22 K_U23 + K_K01 + +

K_K02 + + K_K03 + + + +

K_K04 + + + K_K05 + + + + K_K06

K_K07

31 | P a g e



Rad

ioco

mm

un

icat

ion

Ad

van

ced

to

pic

s in

mat

hem

atic

s

Pro

gram

mab

le lo

gic

dev

ices

Dig

ital

cir

cuit

s d

esig

n

An

alo

g ci

rcu

its

de

sign

Bio

nic

s

Co

mp

ute

r ai

ded

ele

ctro

nic

circ

uit

s d

esi

gn

Elec

tro

mag

net

ic c

om

pat

ibili

ty

Op

toel

ectr

on

ics

Theo

ry o

f in

form

atio

n a

nd

co

din

g

Exch

ange

dev

ices

Cel

lula

r p

ho

ne

syst

ems

Dig

ital

an

d a

nal

og

tele

com

mu

nic

atio

n

Co

mp

ute

r n

etw

ork

Mic

roel

ectr

on

ics

Pro

gram

mab

le c

on

tro

llers

Op

tio

nal

co

urs

e E1

K_W01 + + K_W02 + K_W03 K_W04

K_W05 + + K_W06 + K_W07 K_W08 K_W09

K_W10 K_W11 + + + + + + + + K_W12 K_W13 K_W14

K_W15 + + + K_W16 K_W17

K_W18 + K_W19 + K_W20 + + K_W21 + + K_W22 + + + + + + K_W23 K_W24 K_W25 K_W26 K_W27 K_W28 K_U01 + + + K_U02 + K_U03 K_U04 + K_U05 + K_U06 + K_U07 + + + + K_U08 + + + + K_U09 K_U10

32 | P a g e



Rad

ioco

mm

un

icat

ion

Ad

van

ced

to

pic

s in

mat

hem

atic

s

Pro

gram

mab

le lo

gic

dev

ices

Dig

ital

cir

cuit

s d

esig

n

An

alo

g ci

rcu

its

de

sign

Bio

nic

s

Co

mp

ute

r ai

ded

ele

ctro

nic

circ

uit

s d

esi

gn

Elec

tro

mag

net

ic c

om

pat

ibili

ty

Op

toel

ectr

on

ics

Theo

ry o

f in

form

atio

n a

nd

co

din

g

Exch

ange

dev

ices

Cel

lula

r p

ho

ne

syst

ems

Dig

ital

an

d a

nal

og

tele

com

mu

nic

atio

n

Co

mp

ute

r n

etw

ork

Mic

roel

ectr

on

ics

Pro

gram

mab

le c

on

tro

llers

Op

tio

nal

co

urs

e E1

K_U11 + + + + + + + + + + + K_U12 K_U13 K_U14

K_U15 + K_U16 + + + + K_U17 K_U18 K_U19 +

K_U20 + K_U21 + + + + + + K_U22 + + K_U23 + + K_K01

K_K02 K_K03 + + K_K04

K_K05 K_K06 + K_K07

33 | P a g e



Dig

ital

mo

del

ling

and

sim

ula

tio

n

Pro

gram

min

g in

Ass

emb

ler

Intr

od

uct

ion

to

com

pill

ers

Co

ncu

rren

t

pro

gram

min

g

Wir

ele

ss c

om

pu

ter

net

wo

rks

Dis

trib

ute

d c

om

pu

ter

syst

em

s

Ind

ust

rial

co

mp

ute

r

syst

em

s

Ad

van

ced

op

erat

ing

syst

em

s

Co

mp

ute

r gr

aph

ics

and

visi

on

Dat

abas

es a

pp

licat

ion

s

Op

tio

nal

co

urs

e I1

Op

tio

nal

co

urs

e I2

K_W01 K_W02 K_W03

K_W04 + K_W05 K_W06

K_W07 K_W08 K_W09 K_W10 K_W11 + + +

K_W12 + + K_W13 K_W14 + + + + + + + + + K_W15 K_W16 + + + +

K_W17 K_W18 K_W19 K_W20

K_W21 + K_W22 K_W23 +

K_W24 + K_W25 + + + + + + K_W26 + K_W27 K_W28 K_U01 + + K_U02 + + + + + + + + + + + +

K_U03 K_U04 K_U05 K_U06 K_U07 + + K_U08 + + + + + + + + K_U09 + K_U10 + + + + + +

K_U11 + + + + K_U12 + K_U13 + + + + +

34 | P a g e



Dig

ital

mo

del

ling

and

sim

ula

tio

n

Pro

gram

min

g in

Ass

emb

ler

Intr

od

uct

ion

to

com

pill

ers

Co

ncu

rren

t

pro

gram

min

g

Wir

ele

ss c

om

pu

ter

net

wo

rks

Dis

trib

ute

d c

om

pu

ter

syst

em

s

Ind

ust

rial

co

mp

ute

r

syst

em

s

Ad

van

ced

op

erat

ing

syst

em

s

Co

mp

ute

r gr

aph

ics

and

visi

on

Dat

abas

es a

pp

licat

ion

s

Op

tio

nal

co

urs

e I1

Op

tio

nal

co

urs

e I2

K_U14 K_U15 + + + + K_U16

K_U17 + + + + + + + + + K_U18 + + + + + + + + + + K_U19

K_U20 K_U21 K_U22 K_U23 K_K01

K_K02 + + + + K_K03 K_K04 K_K05 K_K06

K_K07