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Core techniques and applications of artificial intelligence. Representation retrieving and application of knowledge for problem solving, planning, probabilistic inference, and natural language understanding.
OPTIONAL TEXTBOOK: Russell & Norvig , Artificial Intelligence: A Modern Approach , Prentice Hall, 3rd edition
COURSE INSTRUCTOR: Mohammed A. Alam (Summer & Fall) & Prof. Birnbaum (Spring)COURSE COORDINATOR: Prof. Kristian Hammond
COURSE GOALS: The goal of this course is to expose students to the basic ideas, challenges, techniques, and problems in artificial intelligence. Topics include strong (knowledge-based) and weak (search-based) methods for problem solving and inference, and alternative models of knowledge and learning, including symbolic, statistical and neural networks.
DETAILED COURSE TOPICS:
COURSE OBJECTIVES: Upon completion of this course, students will be able to: