Detail oboru

Cybernetics, Control and Measurements

Original title in Czech: Kybernetika, automatizace a měřeníFEKTAbbreviation: ML1-KAMAcad. year: 2017/2018Specialisation: -

Programme: Electrical, Electronic, Communication and Control Technology

Length of Study: 2 years

Accredited from: 2.1.2002Accredited until: 31.7.2021

Profil oboru

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.

Entry requirements

Conditions for admitting are a completed Bachelor degree education and successful completion of the admissions process.

Supervisor oboru


Course structure diagram with ECTS credits

1. year of study, winter semester
AbbreviationTitleL.Cr.Sem.Com.Compl.Gr.Op.
LZPDData Acquisition, Analysis and Processingcs6winterCompulsoryAc,Exyes
LTDSTheory of Dynamic Systemscs6winterCompulsoryAc,Exyes
LSPSSpecial Sensorscs6winterOptional specializedAc,Exyes
LOPROptimalization of Controllerscs5winterOptional specializedAc,ExML-KAM - volitelné předmětyyes
LASAEnglish for Northern Americacs3winterGeneral knowledgeAc,Exno
XCA1CISCO Academy 1 - CCNAcs3winterGeneral knowledgeExyes
XCA3CISCO Academy 3 - CCNPcs3winterGeneral knowledgeExyes
XCA5CISCO Academy 5 - CCNPcs3winterGeneral knowledgeExyes
XMW1Microsoft Windows Desktop Systemscs5winterGeneral knowledgeExyes
XMW3Microsoft Windows Network Technologiescs5winterGeneral knowledgeExyes
LDREDifferential Equations in Electrical Engineeringcs5winterTheoretical subjectAc,ExML-KAM - volitelné předmětyyes
1. year of study, summer semester
AbbreviationTitleL.Cr.Sem.Com.Compl.Gr.Op.
LEMSElectronic Measurement Systemscs6summerCompulsoryAc,Exyes
LPOREmbedded Systems for Industrial Controlcs6summerCompulsoryAc,Exyes
LPOVComputer Visioncs6summerOptional specializedAc,ExML-KAM - volitelné předmětyyes
LRBTRoboticscs5summerOptional specializedAc,ExML-KAM - volitelné předmětyyes
LASAEnglish for Northern Americacs3summerGeneral knowledgeAc,Exno
XCA2CISCO Academy 2 - CCNAcs3summerGeneral knowledgeExyes
XCA4CISCO Academy 4 - CCNPcs3summerGeneral knowledgeExyes
XMW4Microsoft Enterprise Solutionscs5summerGeneral knowledgeExyes
XMW5Programming .NET and C#cs5summerGeneral knowledgeExyes
XMW2Microsoft Windows Server Systemscs5summerGeneral knowledgeExyes
LMNMModern Numerical Methodscs5summerTheoretical subjectAc,ExML-KAM - volitelné předmětyyes
1. year of study, both semester
AbbreviationTitleL.Cr.Sem.Com.Compl.Gr.Op.
LJN2German for Lower-Intermediatecs6bothGeneral knowledgeAc,Exno
LJN1German for Beginnerscs6bothGeneral knowledgeAc,Exno
LJR2Russian Pre-Intermediatecs6bothGeneral knowledgeAc,Exno
LJR1Russian for Beginnerscs6bothGeneral knowledgeAc,Exno
LJS2Spanish for Lower-Intermediate Studentscs6bothGeneral knowledgeAc,Exno
LJS1Spanish for Beginnerscs6bothGeneral knowledgeAc,Exno
LEFEEnglish for Lifecs, en4bothGeneral knowledgeAc,ExML-KAM - volitelné předmětyyes
2. year of study, winter semester
AbbreviationTitleL.Cr.Sem.Com.Compl.Gr.Op.
LAUPProcess Controlcs6winterCompulsoryAc,Exyes
LM2KSemestral Thesis 2cs2winterCompulsoryClAcyes
LUINArtificial Intelligencecs6winterCompulsoryAc,Exyes
LMIDModelling and Identificationcs6winterOptional specializedAc,ExML-KAM - volitelné předmětyyes
LSTUMachine Learningcs5winterOptional specializedAc,ExML-KAM - volitelné předmětyyes
LSDUDiscrete Event Systemscs5winterOptional specializedAc,ExML-KAM - volitelné předmětyyes
LASAEnglish for Northern Americacs3winterGeneral knowledgeAc,Exno
XCA1CISCO Academy 1 - CCNAcs3winterGeneral knowledgeExyes
XCA3CISCO Academy 3 - CCNPcs3winterGeneral knowledgeExyes
XCA5CISCO Academy 5 - CCNPcs3winterGeneral knowledgeExyes
XMW1Microsoft Windows Desktop Systemscs5winterGeneral knowledgeExyes
XMW3Microsoft Windows Network Technologiescs5winterGeneral knowledgeExyes
2. year of study, summer semester
AbbreviationTitleL.Cr.Sem.Com.Compl.Gr.Op.
LMSKDiploma Thesiscs30summerCompulsoryAcyes
LASAEnglish for Northern Americacs3summerGeneral knowledgeAc,Exno
XCA2CISCO Academy 2 - CCNAcs3summerGeneral knowledgeExyes
XCA4CISCO Academy 4 - CCNPcs3summerGeneral knowledgeExyes
XMW4Microsoft Enterprise Solutionscs5summerGeneral knowledgeExyes
XMW5Programming .NET and C#cs5summerGeneral knowledgeExyes
XMW2Microsoft Windows Server Systemscs5summerGeneral knowledgeExyes
2. year of study, both semester
AbbreviationTitleL.Cr.Sem.Com.Compl.Gr.Op.
LEFEEnglish for Lifecs, en4bothGeneral knowledgeAc,Exyes
LJN2German for Lower-Intermediatecs6bothGeneral knowledgeAc,Exno
LJN1German for Beginnerscs6bothGeneral knowledgeAc,Exno
LJR2Russian Pre-Intermediatecs6bothGeneral knowledgeAc,Exno
LJR1Russian for Beginnerscs6bothGeneral knowledgeAc,Exno
LJS2Spanish for Lower-Intermediate Studentscs6bothGeneral knowledgeAc,Exno
LJS1Spanish for Beginnerscs6bothGeneral knowledgeAc,Exno