SubjectsSubjects(version: 955)
Course, academic year 2023/2024
Cybernetics II - B445020
Title: Kybernetika II
Guaranteed by: Department of Mathematics, Informatics and Cybernetics (446)
Faculty: Faculty of Chemical Engineering
Actual: from 2021
Semester: winter
Points: winter s.:4
E-Credits: winter s.:4
Examination process: winter s.:
Hours per week, examination: winter s.:2/1, C+Ex [HT]
Capacity: unknown / unknown (unknown)
Min. number of students: unlimited
State of the course: taught
Language: Czech
Teaching methods: full-time
Teaching methods: full-time
Guarantor: Kopecký Dušan doc. Ing. Ph.D.
Vrba Jan Ing. Ph.D.
Annotation -
The course follows the course Cybernetics I and develops knowledge in the field of cybernetics towards digital data processing, algorithms, modeling, image analysis and machine vision.
Last update: Kopecký Dušan (14.09.2021)
Aim of the course -

Students will be able to:

  • simulate the behavior of real systems

  • use selected software for control

  • basics of data acquisition and processing

  • basics of image analysis
Last update: Kopecký Dušan (14.09.2021)
Literature -

B: Karel Kadlec, Miloš Kmínek, Pavel Kadlec, Měření a řízení chemických, potravinářských a biotechnologických procesů: Řízení technologických procesů. Díl II., Key Publishing s.r.o., 2017, ISBN: 978-8-0741-8283-9

C: Karel Kadlec, Miloš Kmínek, Pavel Kadlec, Měření a řízení chemických, potravinářských a biotechnologických procesů: Provozní měření. Díl I., Key Publishing s.r.o., 2017, ISBN: 978-8-0741-8283-9

Last update: Kopecký Dušan (14.09.2021)
Learning resources -

Last update: Kopecký Dušan (14.09.2021)
Syllabus -

1. Introduction to algorithmization and software engineering, application examples in the control of chemical, food and biotechnological processes.

2. Computer program development: source code; pre-processor; translator; code translation phase; language interpreter; GUI design and implementation.

3. Versioning, debugging and testing code: the Git open versioning system; proprietary versioning systems.

4. Operating system: general structure of the operating system; kernel; drivers; graphic subset.

5. Programming languages I; types of programming language and their extensions; application of programming in solving various problems.

6. Programming languages II; integrated development environments, compilers, forms of writing program code; teaching of programming languages at the UCT Prague.

7. Equipment for data acquisition and processing

8. Signal sampling: sampling period; sampling theorem; A/D and D/A converters; digital filtering (median and exponential filters; moving average).

9. Environment for data collection and processing; industrial process control software; HMI; SCADA.

10. Modelling and computer simulations of processes I: mathematical model; general introduction to modelling; simulation of chemical and food operations.

11. Modelling and computer simulations of processes II: computational clusters and supercomputers; use in industrial applications and in the prediction of events and phenomena.

12. Security in industrial networks; symbiosis of communication and industrial networks; examples of industrial network topology solutions; the future and direction of cybernetics.

13. Basics of computer graphics; cameras and image analysis systems.

14. Basics of machine vision. Applications of robotics in the chemical industry.

Last update: Kopecký Dušan (14.09.2021)
Registration requirements -


Last update: Kopecký Dušan (14.09.2021)
Course completion requirements -

Passing the test and the oral exam.

Last update: Kopecký Dušan (14.09.2021)
Teaching methods
Activity Credits Hours
Konzultace s vyučujícími 0.5 14
Účast na přednáškách 1 28
Práce na individuálním projektu 1 28
Příprava na zkoušku a její absolvování 1 28
Účast na seminářích 0.5 14
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