| Call Number | 14649 |
|---|---|
| Day & Time Location |
FS 1:00pm-5:00pm 303 Seeley W. Mudd Building |
| 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
|
| Web Site | Vergil |
| Department | Industrial Engineering and Operations Research |
| Enrollment | 44 students (75 max) as of 8:35PM Friday, January 17, 2025 |
| Subject | Industrial Engineering and Operations Research |
| Number | E4737 |
| Section | 001 |
| Division | School of Engineering and Applied Science: Graduate |
| Open To | Engineering:Graduate |
| Note | Meets 1/24 1-5pm, 1/25 9-1pm&3-5pm, 1/31 1-5pm, 2/1 9-12pm |
| Section key | 20251IEOR4737E001 |