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Branch detail

Cybernetics, Control and Measurements


Original title in Czech: Kybernetika, automatizace a měření
Abbreviation: ML1-KAM
Specialisation: -
Length of Study: 2 years
Programme: Electrical, Electronic, Communication and Control Technology
Faculty: Faculty of Electrical Engineering and Communication
Academic year: 2017/2018
Accredited from: 2.1.2002
Accredited until: 31.7.2021
Profile of the branch:
The study area Cybernetics, Control and Measurement (M-KAM) aims to educate MSc graduates with a profound knowledge of theory, construction and application of measurement, control and automation systems in industry. During their study, students can specialize in measurement, automatic control, robotics, applied informatics, industry computer networks, principles of artificial intelligence and system of industry automation. The graduates can find employment in research, development and operation of a wide range of modern methods and means of automation, applied informatics, artificial intelligence and digital technologies. They can also assume key executive and management positions, where they can apply their knowledge of system analysis and optimal control.
Key learning outcomes:
Mathematics, Physics and Theory of electrical and electronic circuits. Digital systems and applied informatic. Theory and practice of automatic control. Measuring Systems. Principles and systems of applied artificial intelligence.Graduates are educated for research, development and practice in control, information and intelligent systems.All processes and technologies in which informatic, control and measurement are used.
Occupational profiles of graduates with examples:
The graduates of the study area Cybernetics, Control and Measurement have a broad knowledge of theory, construction and application of measurement, control and automation systems in industry.
They are qualified in measurement, automatic control, robotics, applied informatics and industrial computer networks, and are competent in the principles of artificial intelligence, and systems of industrial automation. A profound knowledge of theory and a broad scope of applications-oriented study ensure high adaptability of graduates to specific requirements of their future professions.
The graduates of this branch find employment in research, development and operation of a wide range of modern methods and means of automation, applied informatics, artificial intelligence and digital technology. They can also assume key executive and management positions, where they can apply their knowledge of system analysis and optimal control.
Choosing suitable optional courses within the scope of the study area, students in the master’s degree programme can specialize in any area of their professional interest related to their future career. They can focus on the following technical specializations and their combinations:
CONTROL (RT) deals with knowledge in the area of control theory and technology. Students are introduced to the latest trends, such as fuzzy control and the use of neural networks in control and the realization of these and other methods of control by digital computer technology.
MEASUREMENT (MT) deals with detailed knowledge in the area of sensor construction and methods of measurement of non-electrical and electrical quantities. Graduates are familiar with conversion of these quantities into electrical and optical signals and acquire knowledge of processing of these signals by digital computer technology.
ROBOTICS AND ARTIFICIAL INTELLIGENCE (RO) deals with knowledge of robot control systems, digitally controlled machine tools and other appliances used in mechanical engineering, together with basic knowledge of integrated computer control. In the area of artificial intelligence, instruction focuses mainly on computer vision, artificial neural networks, expert systems, fuzzy logic and machine learning.
PROCESS AUTOMATION AND APPLIED INFORMATICS (PAI) focuses mainly on the implementation of information technologies into sensors, action and control elements. It embraces the study of microprocessor technology, one-chip microcontrollers, pre-processing of signals, database systems, WWW applications, JAVA applications, communication protocols, control algorithms, implementation of elements of artificial intelligence and programming of built-in control systems. Moreover, it focuses on standard industrial solutions of control systems of programmable automatic machine types, decentralised control systems, visualisation and the collection of procedural data and their subsequent processing.
COMPUTER VISION (PV) focuses on the provision of knowledge necessary in order to design systems of computerized image processing. It also involves procedures of image data acquisition (scene creation, choice of lighting), selection of HW components (cameras, image digitizers with control SW), methods of pre-processed data evaluation (comparing with the model, symptom extraction, sorting). The knowledge acquired can be applied for example in the development of industrial applications in the area of computerized image data processing.
Branch supervisor: doc. Ing. Václav Jirsík, CSc.

Course structure diagram with ECTS credits

Year of study 1, winter semester

Code Title L. Cr. Sem. Com. Compl. Gr. Op.

Compulsory
FEKT-LZPD Data Acquisition, Analysis and Proces... cs  6  winter C Ac,Ex   yes
FEKT-LTDS Theory of Dynamic Systems cs  6  winter C Ac,Ex   yes

Optional specialized
FEKT-LSPS Special Sensors cs  6  winter OS Ac,Ex   yes
FEKT-LOPR Optimalization of Controllers cs  5  winter OS Ac,Ex 1 yes

General knowledge
FEKT-LASA English for Northern America cs  3  winter GK Ac,Ex   no
FEKT-XCA1 CISCO Academy 1 - CCNA cs  3  winter GK Ex   yes
FEKT-XCA3 CISCO Academy 3 - CCNP cs  3  winter GK Ex   yes
FEKT-XCA5 CISCO Academy 5 - CCNP cs  3  winter GK Ex   yes
FEKT-XMW1 Microsoft Windows Desktop Systems cs  5  winter GK Ex   yes
FEKT-XMW3 Microsoft Windows Network Technologies cs  5  winter GK Ex   yes

Theoretical subject
FEKT-LDRE Differential Equations in Electrical ... cs  5  winter TS Ac,Ex 1 yes

Groups of optional courses
1 Obligation: 9 courses  
 


Year of study 1, summer semester

Code Title L. Cr. Sem. Com. Compl. Gr. Op.

Compulsory
FEKT-LEMS Electronic Measurement Systems cs  6  summer C Ac,Ex   yes
FEKT-LPOR Embedded Systems for Industrial Control cs  6  summer C Ac,Ex   yes

Optional specialized
FEKT-LPOV Computer Vision cs  6  summer OS Ac,Ex 1 yes
FEKT-LRBT Robotics cs  5  summer OS Ac,Ex 1 yes

General knowledge
FEKT-LASA English for Northern America cs  3  summer GK Ac,Ex   no
FEKT-XCA2 CISCO Academy 2 - CCNA cs  3  summer GK Ex   yes
FEKT-XCA4 CISCO Academy 4 - CCNP cs  3  summer GK Ex   yes
FEKT-XMW4 Microsoft Enterprise Solutions cs  5  summer GK Ex   yes
FEKT-XMW5 Programming .NET and C# cs  5  summer GK Ex   yes
FEKT-XMW2 Microsoft Windows Server Systems cs  5  summer GK Ex   yes

Theoretical subject
FEKT-LMNM Modern Numerical Methods cs  5  summer TS Ac,Ex 1 yes

Groups of optional courses
1 Obligation: 9 courses  
 


Year of study 1, both

Code Title L. Cr. Sem. Com. Compl. Gr. Op.

General knowledge
FEKT-LJN2 German for Lower-Intermediate cs  6  both GK Ac,Ex   no
FEKT-LJN1 German for Beginners cs  6  both GK Ac,Ex   no
FEKT-LJR2 Russian Pre-Intermediate cs  6  both GK Ac,Ex   no
FEKT-LJR1 Russian for Beginners cs  6  both GK Ac,Ex   no
FEKT-LJS2 Spanish for Lower-Intermediate Students cs  6  both GK Ac,Ex   no
FEKT-LJS1 Spanish for Beginners cs  6  both GK Ac,Ex   no
FEKT-LEFE English for Life cs, en  4  both GK Ac,Ex 1 yes

Groups of optional courses
1 Obligation: 9 courses  
 


Year of study 2, winter semester

Code Title L. Cr. Sem. Com. Compl. Gr. Op.

Compulsory
FEKT-LAUP Process Control cs  6  winter C Ac,Ex   yes
FEKT-LM2K Semestral Thesis 2 cs  2  winter C ClAc   yes
FEKT-LUIN Artificial Intelligence cs  6  winter C Ac,Ex   yes

Optional specialized
FEKT-LMID Modelling and Identification cs  6  winter OS Ac,Ex 1 yes
FEKT-LSTU Machine Learning cs  5  winter OS Ac,Ex 1 yes
FEKT-LSDU Discrete Event Systems cs  5  winter OS Ac,Ex 1 yes

General knowledge
FEKT-LASA English for Northern America cs  3  winter GK Ac,Ex   no
FEKT-XCA1 CISCO Academy 1 - CCNA cs  3  winter GK Ex   yes
FEKT-XCA3 CISCO Academy 3 - CCNP cs  3  winter GK Ex   yes
FEKT-XCA5 CISCO Academy 5 - CCNP cs  3  winter GK Ex   yes
FEKT-XMW1 Microsoft Windows Desktop Systems cs  5  winter GK Ex   yes
FEKT-XMW3 Microsoft Windows Network Technologies cs  5  winter GK Ex   yes

Groups of optional courses
1 Obligation: 9 courses  
 


Year of study 2, summer semester

Code Title L. Cr. Sem. Com. Compl. Gr. Op.

Compulsory
FEKT-LMSK Diploma Thesis cs  30  summer C Ac   yes

General knowledge
FEKT-LASA English for Northern America cs  3  summer GK Ac,Ex   no
FEKT-XCA2 CISCO Academy 2 - CCNA cs  3  summer GK Ex   yes
FEKT-XCA4 CISCO Academy 4 - CCNP cs  3  summer GK Ex   yes
FEKT-XMW4 Microsoft Enterprise Solutions cs  5  summer GK Ex   yes
FEKT-XMW5 Programming .NET and C# cs  5  summer GK Ex   yes
FEKT-XMW2 Microsoft Windows Server Systems cs  5  summer GK Ex   yes
 


Year of study 2, both

Code Title L. Cr. Sem. Com. Compl. Gr. Op.

General knowledge
FEKT-LEFE English for Life cs, en  4  both GK Ac,Ex   yes
FEKT-LJN2 German for Lower-Intermediate cs  6  both GK Ac,Ex   no
FEKT-LJN1 German for Beginners cs  6  both GK Ac,Ex   no
FEKT-LJR2 Russian Pre-Intermediate cs  6  both GK Ac,Ex   no
FEKT-LJR1 Russian for Beginners cs  6  both GK Ac,Ex   no
FEKT-LJS2 Spanish for Lower-Intermediate Students cs  6  both GK Ac,Ex   no
FEKT-LJS1 Spanish for Beginners cs  6  both GK Ac,Ex   no