CS 441 Artificial Intelligence

Credit Hours:	4
Course Coordinator:	Melanie Mitchell
Course Description:	An introduction to the basic concepts and techniques of artificial intelligence.
Prerequisites:	CS 202, 311, or equivalent
Goals:	This course will provide students with an overview of the major topics and techniques of current-day artificial intelligence. Upon the successful completion of this course students will be able to: Describe several real-world applications of AI. Describe and implement AI search techniques for heuristic problem-solving and game playing, and describe their strengths and limitations. Describe and implement various AI knowledge-representation techniques. Design software agents that use Bayesian techniques to learn and reason under uncertainty. Design software agents that use reinforcement learning techniques. Design simple genetic algorithms. Describe some of the major approaches to current-day research on natural-language processing, computer vision, analogy-making, and robotics. Summarize major philosophical and ethical questions regarding AI.
Textbooks:	None. Required readings will be posted on the class web site.
References:	None.
Major Topics:	Application areas of AI, problem-solving and game-playing as search, knowledge representation, biologically inspired AI, learning and reasoning under uncertainty, natural-language processing, vision, analogy-making, robotics, philosophy of AI.
Laboratory Exercises:

Oral and Written Communications:	Students will give oral presentations in class and will write up their final project as a scientific paper.
Social and Ethical Issues:	Students will learn about and discuss the social and ethical issues related to the development of artificial intelligence (10% class time)
Theoretical Content:	Logic, probability theory and statistics, principal components analysis. (20% class time)
Problem Analysis:	Students will analyze a particular set of problems related to implementing an intelligent agent and will develop software to address these problems. (50% class time)
Solution Design:	See above.