Educational Program of Artificial Intelligence Systems

The Department of Artificial Intelligence trains masters of the Educational System “Artificial Intelligence Systems”. Both types of educational programs “Artificial Intelligence Systems” (AIS) of the second level of higher education are focused on providing students with the in-depth theoretical and practical knowledge necessary to solve complex specialized tasks and practical problems of artificial and computational intelligence, allows for effective research and development of various knowledge-based assignments, including Web-based, as well as meeting the needs of employers in qualified specialists in the field of intelligent information technologies.

The educational and scientific program (ESP) is aimed at training highly qualified research specialists with a knowledge system in the development of artificial and computational intelligence systems, are familiar with the modern scientific achievements of this industry, know how to formulate, solve and generalize practical tasks, conduct research work in their professional activities using modern information precision manufacturing techniques that can effectively meet the challenges of innovation ha age appropriate level of professional activity.

The main disciplines of professional and practical training:

Neural network methods of computational intelligence.
Deep learning neural networks.
Multi-agent systems and technologies.
Knowledge management.
Cognitive computing.
Big Data Analytics.
Ontological engineering.
Expert systems in the environment of the Semantic Web.

Selected disciplines of professional and practical training:

Knowledge-oriented technology of computational intelligence.
Business Intelligence Systems.
Mathematical processing of natural language texts.
Intelligent analysis of complex networks.
Fractal and chaotic models in data mining.
Evolutionary computing.
Methods of knowledge extraction in web space.
Cognitive systems and models.

The programme is modernised towards recommendations of the ERASMUS+ project «Academic Response to Hybrid Threats – WARN»

Syllabi of the courses are here