Applied Artificial Intelligence

Undergraduate

Introduction to algorithms, graph search algorithms, optimization, gradient methods, random optimization, genetic algorithms, classification, neural networks. Performance metrics and complexity theory. Hands-on practice with artificial intelligence toolboxes. Applications in engineering. Course Format: Lectures, 3 hours per week; labs, 2 hours per week. Restrictions: Open to BEng majors. Prerequisite(s): MATH 1P08, MATH 1P13, ENGR 1P02