COS 572 - Artificial Intelligence and Data Mining

An introduction to the underlying concepts and applications of intelligent systems. Topics include heuristic search techniques, pattern matching, rule-based systems, computer representations of knowledge, and machine learning and data mining techniques. Course work includes regular labs and large projects. Students will learn to conduct research in artificial intelligence and will complete a modest research project.

Prerequisite(s): Graduate Standing or appropriate Accelerated Graduate Pathway.
Co-requisite(s):
Credits: 3

Course Typically Offered:
Course Type: Computer Science