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NOTE: Course information changes frequently, including Methods of Instruction. Please revisit these pages periodically for the most recent and up-to-date course information.

Spring 2022 Industrial Engineering and Operations Research E4530 section 001
AI, Games, and Markets

Call Number 13663
Day & Time
MW 1:10pm-2:25pm
702 Hamilton Hall
Points 3
Grading Mode Standard
Approvals Required None
Instructor Christian Kroer
Method of Instruction In-Person
Course Description This is a course on how techniques from AI and optimization enable large-scale game solving and market design. We will cover the core ideas behind recent superhuman AIs for games such as Poker and Go. Then, we will discuss how AI and game theory ideas are used in large-scale marketplaces such as internet advertising, recommender systems, and electricity markets. This is intended to be an advanced MS level and senior undergraduate course for students in Operations Research and Financial Engineering. Students should therefore have a strong background in optimization, linear algebra, and statistics.
Web Site Vergil
Department Industrial Engineering and Operations Research
Enrollment 36 students (40 max) as of 8:03AM Saturday, June 25, 2022
Subject Industrial Engineering and Operations Research
Number E4530
Section 001
Division School of Engineering and Applied Science: Graduate
Campus Morningside
Section key 20221IEOR4530E001

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SIS update 06/25/22 08:03    web update 06/25/22 17:34