Type of studies | Title |
---|---|
Master Academic Studies | Computing and Control Engineering (Year: 1, Semester: Winter) |
Master Academic Studies | Biomedical Engineering (Year: 1, Semester: Winter) |
Master Academic Studies | Software Engineering and Information Technologies (Year: 1, Semester: Winter) |
Master Academic Studies | Information and Analytics Engineering (Year: 1, Semester: Winter) |
Master Academic Studies | Measurement-Information Technologies and Control Engineering (Year: 1, Semester: Winter) |
Master Academic Studies | Artificial Intelligence and Machine Learning (Year: 2, Semester: Winter) |
Category | Scientific-professional |
Scientific or art field | Automatic Control and System Engineering |
ECTS | 6 |
Acquisition of theoretical and practical fundamentals of game theory, with applications to engineering problems.
The acquired knowledge can be used in solving concrete engineering problems and is a basis for further professional and scientific development.
1. Introduction. 2. Game theory as an extension of decision theory. 3. Strategic games. Examples. 4. Nash equilibrium and other solution concepts. 5. Computing Nash equilibrium in finite games 6. Evolution and learning in games. 7. Evolutionary games 8. Differential games
Lectures, numerical calculation practice, computer practice classes, laboratory practice, consultations.
Authors | Title | Year | Publisher | Language |
---|---|---|---|---|
1994 | English | |||
1991 | English | |||
2000 | English | |||
2017 | MIT Press | English |
Course activity | Pre-examination | Obligations | Number of points |
---|---|---|---|
Practical part of the exam - tasks | No | Yes | 40.00 |
Project | Yes | Yes | 30.00 |
Oral part of the exam | No | Yes | 30.00 |
Coloquium exam | No | No | 40.00 |
Full Professor
Associate Professor
Assistant - Master
Assistant - Master
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