Introduction to AI. State space. Methods of artificial
intelligence (UI), cognitivity, knowledge and intellect, areas of UI research. Heuristic search
solutions. Use of mathematical logic in UI, basic elements of predicate logic, situational
logic. Planning and production systems, framework systems, multi - carrier systems, artificial intelligence and computability. Turing machines, stopping problem. Introduction to machine learning, basic concepts, decision tree creation, learning with a teacher, learning without a teacher.

Type of methodology: Combination of lecture and hands-on

Participants receive the certificate of attendance: Yes

Paid training activity for participants: No, it's free of charge

Participants prerequisite knowledge: No prerequisite knowledge