Game Theory with Engineering Applications
Game theory and mechanism design get built from the ground up, with motivating examples drawn from engineered and networked systems: distributed control of wireline and wireless communication networks, incentive-compatible and dynamic resource allocation, multi-agent systems, and pricing and investment decisions on the Internet, alongside social and economic network models. The course emphasizes theoretical foundations, mathematical tools, and equilibrium concepts across static and dynamic environments, covering topics such as Nash equilibrium, repeated games, bargaining, auctions, and mechanism design. Materials come from MIT OpenCourseWare and typically include lecture notes, problem sets, and readings, following MIT's Electrical Engineering and Computer Science curriculum. No certificate is offered, but all course materials are free to access and reuse under MIT's open license. Suited to students with a background in probability and optimization who want a rigorous, applications-driven treatment of strategic decision-making.