| Catalog Content |
This course introduces students to the fundamental concepts and methods of artificial intelligence. It begins with informed and uninformed search, blind and heuristic search techniques. It then examines learning theories, types of learning, artificial neural networks, uncertainty-based and probability-based methods. Planning, natural language processing, image analysis, classification, and low-level image processing are covered. Finally, it focuses on advanced AI applications, including learning, image detection, and examples of querying under uncertainty. |
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English