Learning Outcomes

•     Define the basic concepts of artificial intelligence
•     Distinguish between symbolic and connectivistic approaches to AI
•     Apply state search algorithms and biologically inspired optimization algorithms on basic problems.
•     Solve basic problems using logic programming
•     Apply inference algorithms on basic logical problems
•     Compare among various approaches to representing uncertainty
•     Assess the applicability of different AI methods on a given AI problem
•     Apply the basic machine learning algorithms
•     Review the philosophical aspects of artificial intelligence

Type of methodology: Combination of lecture and hands-on

Paid training activity for participants: Yes, for some only

Participants prerequisite knowledge: C/C++

Language: English and Croatian