Introduction to the basic concepts and various approaches of pattern recognition and decision-making processes. The topics include various classifier designs, evaluation of classifiability, learning machines, feature extraction, and modeling.

Credit:	3 hours (class)
Prerequisite:	EE 302 or equivalent
University Catalog:	CS 662