Three semester hours.
Introduction to methods for the analysis and design of intelligent engineering systems. Topics include reinforcement learning, optimal estimation, Bayesian networks, expert systems, neural networks, and genetic algorithms. Applications emphasize control and decision making in engineering, finance, and computer science. Prerequisite: SENG 3340.
Home - General Information - Student Services -
Academic Undergraduate Regulations -
Undergraduate Degrees - Academic Graduate Regulations -
Graduate Degrees - Course Descriptions - Faculty -
Appendix A - Appendix B - Appendix C - Appendix D