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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 E4721 section 001 TOPICS IN QUANT FINANCE AI Applications in Finance | |
| Call Number | 13632 |
| Day & Time Location |
TR 11:40am-12:55pm 602 Hamilton Hall |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Ali Hirsa |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | Selected topics of interest in the area of quantitative finance. Offerings vary each year; some topics include energy derivatives, experimental finance, foreign exchange and related derivative instruments, inflation derivatives, hedge fund management, modeling equity derivatives in Java, mortgage-backed securities, numerical solutions of partial differential equations, quantitative portfolio management, risk management, trade and technology in financial markets. |
| Web Site | Vergil |
| Department | Industrial Engineering and Operations Research |
| Enrollment | 54 students (65 max) as of 8:03AM Saturday, June 25, 2022 |
| Subject | Industrial Engineering and Operations Research |
| Number | E4721 |
| Section | 001 |
| Division | School of Engineering and Applied Science: Graduate |
| Campus | Morningside |
| Section key | 20221IEOR4721E001 |
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