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Explore fundamental artificial intelligence concepts and techniques through this comprehensive university course from Memorial University's Computer Science department. Master algorithmic approaches and data structures essential for modern AI problem-solving environments, including search algorithms, game theory, evolutionary computing, reinforcement learning, and neural networks. Learn to implement A* heuristic search, minimax algorithms with alpha-beta pruning, hash functions and tables, bandit algorithms, Markov Decision Processes, Monte Carlo methods, temporal difference learning, and deep neural networks. Apply theoretical knowledge through practical assignments involving simple games that demonstrate real-world AI applications. Cover core topics from intelligent agents and environments to advanced concepts like dynamic programming and deep learning architectures. Gain hands-on experience with problem-solving techniques that form the foundation of artificial intelligence systems used in industry and research today.
