Fall 2026 Industrial Engineering and Operations Research E4525 section 001

MACHINE LEARNING FE & OPR

Call Number 14705
Day, Time & Location View Class Schedule & Location in Vergil
Points 3
Grading Mode Standard
Approvals Required None
Instructor Daniel Bienstock
Type LECTURE
Method of Instruction In-Person
Course Description

MS IEOR students only. Introduction to machine learning, practical use of ML algorithms and applications to financial engineering and operations. Supervised learning: regression, classification, resampling methods, regularization, support vector machines (SVMs), and deep learning. Unsupervised learning: dimensionality reduction, matrix decomposition, and clustering algorithms.

Web Site Vergil
Department Industrial Engineering and Operations Research
Enrollment 50 students (55 max) as of 12:05PM Monday, May 18, 2026
Subject Industrial Engineering and Operations Research
Number E4525
Section 001
Division School of Engineering and Applied Science: Graduate
Open To Business, Engineering:Undergraduate, Engineering:Graduate
Section key 20263IEOR4525E001