| Call Number | 11141 |
|---|---|
| Day & Time Location |
TWRF 9:00am-5:00pm To be announced |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Ali Hirsa |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | Data, models, visuals; various facets of AI, applications in finance; areas: fund, manager, security selection, asset allocation, risk management within asset management; fraud detection and prevention; climate finance and risk; data-driven real estate finance; cutting-edge techniques: machine learning, deep learning in computational, quantitative finance; concepts: explainability, interpretability, adversarial machine learning, resilience of AI systems; industry utilization
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| Web Site | Vergil |
| Department | Industrial Engineering and Operations Research |
| Enrollment | 0 students (80 max) as of 6:05PM Monday, March 9, 2026 |
| Subject | Industrial Engineering and Operations Research |
| Number | E4737 |
| Section | 001 |
| Division | School of Engineering and Applied Science: Graduate |
| Note | Class meets 9am-5pm 5/26-5/29. Please enroll into waitlist t |
| Section key | 20262IEOR4737E001 |