Basics of artificial inteligence, fuzzy logics, neural networks, evolutionary and genetic algorithms, expert and multiagent systems.

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