Spring 2023 Industrial Engineering and Operations Research E4576 section 001

TOPICS IN OPERATIONS RESEARCH

Data-driven Method Financ

Call Number 15164
Day & Time
Location
M 7:10pm-9:40pm
517 Hamilton Hall
Points 3
Grading Mode Standard
Approvals Required None
Instructor Naftali Cohen
Type LECTURE
Method of Instruction In-Person
Course Description

This course provides students with a strategic perspective and practical tools for using data to add value when answering research questions. Students will use financial and alternative data and participate in an internal real-time forecasting competition. The course emphasizes a project-based, hands-on approach to thoroughly understanding the methodologies and techniques underlying scientific, data-driven, quantitative finance.

Web Site Vergil
Department Industrial Engineering and Operations Research
Enrollment 12 students (70 max) as of 9:06PM Wednesday, April 24, 2024
Subject Industrial Engineering and Operations Research
Number E4576
Section 001
Division School of Engineering and Applied Science: Graduate
Campus Morningside
Section key 20231IEOR4576E001