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Spring 2023
Jun 03, 2023
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CSCI 5260 - Artificial Intelligence
Prerequisites: Calculus and data structures or permission of the instructor. Provides a survey of Artificial Intelligence methods from the graduate perspective using a common programming language. Topics may include searching, knowledge representation, constraint propagation, natural language processing, and introductory machine learning. Research and development of an application of Artificial Intelligence to a real-world problem is an integral part of the course.
3.000 Credit hours
3.000 Lecture hours

Levels: Graduate
Schedule Types: Combined Lecture/Lab

Computing Department

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Release: 8.7.2.4