This course examines the implementation of intelligent algorithms on a computer system. The concept of an intelligent algorithm is motivated by initial discussions of the nature of intelligence and its relation to computers, particularly the Turing test. The course begins with two basic topics of artificial intelligence. The first is problem definition, state spaces and search methods, and the second is knowledge representation and logical reasoning. Following these topics is coverage of more advanced topics, such as game-playing algorithms, genetic algorithms, planning algorithms, computer vision, learning algorithms and natural language processing, among others. Prerequisite: CSC 232 and 233. Typically offered annually. Not offered pass/fail.
| Distribution Area | Prerequisites | Credits |
|---|---|---|
| CSC 232. Recommended: CSC 233. | 1 course |
Spring Semester information
Scott Thede330A: Artificial Intelligence
Scott Thede