MIE567H1: Dynamic & Distributed Decision Making


Fundamental concepts and mathematical frameworks for scientific sequential decision making in the presence of uncertainty. Utility theory, uncertainty modeling, theory of games, dynamic programming, and multi-agent system. Discussion of how the decision theories can be applied to design algorithms and processes for real-world cases.

47.2 (Fall), 51.2 (Winter), 98.4 (Full Year)