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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 TOPICS IN OPERATIONS RESEARCH AI, Games, and Markets | |
| Call Number | 13663 |
| Day & Time Location |
MW 1:10pm-2:25pm 702 Hamilton Hall |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Christian Kroer |
| Type | LECTURE |
| 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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