CS 431 Intelligent Systems

Fundamentals of classical and modern intelligent systems (artificial intelligence). Covers classic algorithms including search strategies, constraint satisfaction, optimization, knowledge representation and reasoning and classification and overview of modern deep learning methods. Includes laboratory style investigation and algorithm implementation for selected real systems or problems, e.g. autonomous systems or image recognition.
Credits: 4
Prerequisite: CS 361 with a grade of C or better
Satisfactory Grading: Ineligible for the Satisfactory/No Credit grade mode.

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