- possession of in-depth professional-profile knowledge and practical skills to solve the complex problem of system analysis - building systems with situational awareness.
- the ability to demonstrate systematic knowledge of modern research methods in the field of systematic analysis of robotic systems.
- the ability to demonstrate advanced knowledge in the field of image recognition research in autonomous intellectual systems.

Computer vision in mobile robotic systems.

Main definitions and models of systems with situational awareness. General characteristics of the problem of pattern recognition in CO systems. Methods of classification and clustering. Bayesian decision theory in recognition problems. Parameter assessment and teacher training. Nonparametric methods. Linear separation functions. Teaching without teacher and grouping. Analysis of the walls. Spatial frequency analysis. Use of neural networks for pattern recognition. Structural pattern recognition.

1. Duda R. Raspoznavaniye obrazov i analiz stsen./ R.Duda, P.Khart.- M.:Mir, 1976.-C.507.
2. Marques de Sa. Pattern Recognition. Concepts, methods and applications./Marques de Sa.- Springer, 2001.- P.328.
3. Grenander U. Pattern theory:from representation to inference./ Grenander U, Miller M.- Oxford university press, 2007.- P. 609.
4. Zakrevskiy A. Logika raspoznavaniya./Zakrevskiy A.D.-Minsk:Nauka i tekhnika, 1988.-S. 119

written reports on laboratory work, oral examination (50%)
final control (control measure, exam), written-oral form (50%)