Fall 2025 Industrial Engineering and Operations Research E4650 section 002

BUSINESS ANALYTICS

Call Number 11837
Day & Time
Location
TR 10:10am-11:25am
To be announced
Points 3
Grading Mode Standard
Approvals Required None
Instructor Adam N Elmachtoub
Type LECTURE
Method of Instruction In-Person
Course Description

This course focuses on how to identify, evaluate, and capture business analytic opportunities that create value. The course covers basic analytic methods alongside case studies on organizations that successfully deployed these techniques. The first part of the course is on using data to develop insights and predictive capabilities with machine learning techniques. The second part focuses on the use of A/B testing, causal inference, ethics, and optimization to support decision-making. 

Web Site Vergil
Department Industrial Engineering and Operations Research
Enrollment 25 students (80 max) as of 5:05PM Friday, April 25, 2025
Subject Industrial Engineering and Operations Research
Number E4650
Section 002
Division School of Engineering and Applied Science: Graduate
Open To Engineering:Graduate
Note MSBA students not allowed in this section. Not opened to und
Section key 20253IEOR4650E002