Type of studies | Title |
---|---|
Master Academic Studies | Biomedical Engineering (Year: 1, Semester: Winter) |
Master Academic Studies | Computing and Control Engineering (Year: 1, Semester: Winter) |
Master Academic Studies | Information and Analytics Engineering (Year: 1, Semester: Winter) |
Master Academic Studies | Artificial Intelligence and Machine Learning (Year: 1, Semester: Winter) |
Master Academic Studies | Measurement-Information Technologies and Control Engineering (Year: 1, Semester: Winter) |
Master Academic Studies | Information Engineering (Year: 1, Semester: Winter) |
Category | Scientific-professional |
Scientific or art field | Automatic Control and System Engineering |
ECTS | 6 |
Students learn about systems of automatic control based on computer intelligence methods.
The acquired knowledge can be used in solving concrete engineering problems.
Application of artificial neural networks in the identification, diagnosis, prediction and control. Fuzzy systems in systems engineering. Neuro fuzzy systems: combining fuzzy logic and neural networks in control. Genetic algorithms in systems engineering. Design of classic and neuro fuzzy regulators using genetic algorithms. Support vector machines and their application in identification and control of systems.
Lectures. Computational and computer practice. Consultations. The exam is written and oral. Passing the written part is the prerequisite for the oral part. The final grade is formed on the bases of achievements at the colloquium, homework assignments and the quality of the written and oral part of the exam.
Authors | Title | Year | Publisher | Language |
---|---|---|---|---|
2019 | English | |||
2004 | English | |||
2001 | English |
Course activity | Pre-examination | Obligations | Number of points |
---|---|---|---|
Oral part of the exam | No | Yes | 50.00 |
Project | Yes | Yes | 50.00 |
Full Professor
Full Professor
Assistant Professor
Assistant Professor
Assistant - Master
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© 2024. Faculty of Technical Sciences.