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Many policies and algorithms interact with many self-interested agents. Provides students methodology and vocabulary to analyze and design such problems. Provides foundations of basic economics and game theoretic concepts and will apply them to a variety of real world applications. Topics: equilibrium analysis, auction design, matching markets, social choice, externalities and network design. Applications: matching marketplaces (NRMP, Upwork, college admissions), dynamic pricing in ride-sharing, advertising mechanisms, reputation systems, platform design, kidney exchange and organ allocations, food banks. Relation to MS&E 232: while 232 provides an extensive introduction to game theory, this course focuses on designing the "rules of the game" to achieve good economic outcomes and will cover only a few basic topics from MS&E 232, including more on application and algorithmic design. Prerequisites: basic mathematical maturity at the level of Math 51, and probability at the level of MS&E 120, 220 or EE 178.