Fall 2024 Industrial Engineering and Operations Research E4576 section 001

TOPICS IN OPERATIONS RESEARCH

Data-driven Method Financ

Call Number 14591
Day & Time
Location
M 7:10pm-9:40pm
627 Seeley W. Mudd Building
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 49 students (52 max) as of 1:06PM Wednesday, March 26, 2025
Subject Industrial Engineering and Operations Research
Number E4576
Section 001
Division School of Engineering and Applied Science: Graduate
Note Course is not opened to MSFE students.
Section key 20243IEOR4576E001