2016-2017 2017-2018 2018-2019 2019-2020 2020-2021
Browse
by subject...
    Schedule
view...
 

1 - 1 of 1 results for: MS&E 230: Incentives and Algorithms

MS&E 230: Incentives and Algorithms

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.
Terms: Spr | Units: 3
Filter Results:
term offered
updating results...
teaching presence
updating results...
number of units
updating results...
time offered
updating results...
days
updating results...
UG Requirements (GERs)
updating results...
component
updating results...
career
updating results...
© Stanford University | Terms of Use | Copyright Complaints