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An introduction to how Artificial Intelligence (AI) methods solve problems that are difficult or impractical to solve with other methods. The focus of the course is on learning how to determine when an AI approach is appropriate for a given situation, being able to select AI method and implementing it. AI methods will be chosen from heuristic search and planning algorithms, formalisms for knowledge representation, and reasoning techniques and methods applicable to expert systems and games.
Advisory: Students should be familiar with computer hardware and software as provided in an introductory computer science course, and they should have the sophistication of understanding material as demonstrated by successfully completing courses such as discrete math, discrete structures or computer architecture, or having similar practical experience. It is recommended, but not required, to have taken a course in computer programming. However, the course will not require programming.
Semester Hours: 3
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