| Call Number | 11830 |
|---|---|
| Day & Time Location |
M 7:10pm-9:40pm To be announced |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Naftali Cohen |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | This Columbia University course offers a project-based learning experience focused on systematic quantitative investment. It covers the full data science workflow, from concept to performance evaluation. Students will engage in a real-time financial forecasting competition, using open-source financial and alternative data, to make and present investment decisions. Ideally, this course suits students aspiring to careers as quants or data scientists in the financial sector. |
| Web Site | Vergil |
| Department | Industrial Engineering and Operations Research |
| Enrollment | 4 students (52 max) as of 6:06PM Friday, April 25, 2025 |
| Subject | Industrial Engineering and Operations Research |
| Number | E4576 |
| Section | 001 |
| Division | School of Engineering and Applied Science: Graduate |
| Open To | Engineering:Graduate |
| Note | Course is not opened to MSFE students. |
| Section key | 20253IEOR4576E001 |