Spring 2026 Industrial Engineering and Operations Research E4576 section 001

TOPICS IN OPERATIONS RESEARCH

Agentic AI for Analytics

Call Number 13299
Day & Time
Location
M 7:00pm-9:30pm
To be announced
Points 3
Grading Mode Standard
Approvals Required None
Instructor Devon Peticolas
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 50 students (50 max) as of 11:06AM Friday, November 28, 2025
Status Full
Subject Industrial Engineering and Operations Research
Number E4576
Section 001
Division School of Engineering and Applied Science: Graduate
Open To Engineering:Graduate
Note MSFE students not allowed. Priority to IEOR and DSI students
Section key 20261IEOR4576E001