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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 View Book Information |
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