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FIT-IZUAcad. year: 2023/2024
Problem-solving: State space search (BFS, DFS, DLS, IDS, BS, UCS, Backtracking, Forward checking, Min-conflict, BestFS, GS, A*, Hill Climbing, Simulated annealing methods). Solving optimization problems by nature-inspired algorithms (GA, ACO and PSO). Problem decomposition (And Or graphs), games playing (Mini-Max and Alfa-Beta algorithms). AI language PROLOG and implementations of basic search algorithms in this language. Machine learning principles. Statistical and structural pattern recognition. Basic principles of expert systems. Fundamentals of computer vision. Base principles of natural language processing. Application fields of artificial intelligence.
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Rules for evaluation and completion of the course
Missed lessons (exercises and tests) can be substituted only exceptionally, after proving that the absences had legitimate reasons.
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Elearning
Classification of course in study plans
branch BIT , 2 year of study, summer semester, compulsory
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