1. Elementary principles, basic terms, issues in Artificial Intelligence (AI)

2. Technical and programming means of AI

3. Programming language PROLOG, syntax, data types

4. Control structures, standard predicates

5. Strategies of problem solving

6. Heuristic search

7. Problem reduction, AND-OR graphs

8. Natural language analysis and understanding

9. Expert systems

10. Pattern recognition

11. Methods of knowledge engineering 

Type of methodology: Combination of lecture and hands-on

Participants receive the certificate of attendance: Yes

Paid training activity for participants: Yes, for all

Participants prerequisite knowledge: Numerical methods (linear algebra, statistics) Domain-specific background knowledge