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Explore fundamental artificial intelligence concepts through this comprehensive university-level course from Memorial University's Computer Science department. Master algorithmic techniques and data structures essential for modern AI problem-solving environments, with each topic reinforced through practical assignments applied to simple games. Delve into core AI foundations including intelligent agents and environments, problem-solving methodologies, and various search algorithms including heuristic search and the A* algorithm. Learn advanced search optimizations, hash functions, and game theory principles including Nash equilibrium concepts. Study minimax algorithms with alpha-beta pruning, evolutionary computing approaches, and comprehensive reinforcement learning techniques covering bandit algorithms, Markov Decision Processes, dynamic programming, Monte Carlo methods, and temporal difference learning. Conclude with an introduction to neural networks and deep learning architectures, gaining hands-on experience through programming assignments and culminating in a Connect 4 tournament that demonstrates practical AI implementation skills.
