| Call Number | 12280 |
|---|---|
| Day & Time Location |
TR 4:10pm-5:25pm 331 Uris Hall |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Lily Xu |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | Introduction to modeling, estimating, and solving decision-making problems in the context of artificial intelligence and analytics. Potential topics include choice models, quantity models, online learning using multi-armed bandits, dynamic decision modeling, dynamic games, and Bayesian learning theory. Practice both theory and applications using Python programming. |
| Web Site | Vergil |
| Department | Industrial Engineering and Operations Research |
| Enrollment | 24 students (50 max) as of 9:07PM Monday, November 3, 2025 |
| Subject | Op Research - Computer Science |
| Number | E4200 |
| Section | 001 |
| Division | School of Engineering and Applied Science: Graduate |
| Note | Master and Undergraduate Students |
| Section key | 20253ORCS4200E001 |