Fall 2025 Industrial Engineering and Operations Research E4577 section 001

TOPICS IN OPERATIONS RESEARCH

APPLIED RISK ANALYTICS

Call Number 11831
Day & Time
Location
M 7:10pm-9:40pm
To be announced
Points 1.5
Grading Mode Standard
Approvals Required None
Instructor Amit Arora
Type LECTURE
Method of Instruction In-Person
Course Description

The course focuses on a PRACTICAL study of how to quantify & predict RISK in organizations by using learnings from: Regression analysis; Monte Carlo simulation; Factor analysis; Cohort analysis; Cluster analysis; Time series analysis; Sentiment analysis. Expectation is that incoming students should have a basic understanding of such concepts and statistics. The course will offer meeting & listening to CXO's & top executives from companies who have implemented robust AI & Applied Risk solutions to solve real-world problems in their own industries. 
It will give students a great opportunity to learn practical applications of predictive analytics to solve real business problems

Web Site Vergil
Department Industrial Engineering and Operations Research
Enrollment 11 students (60 max) as of 10:06AM Saturday, June 7, 2025
Subject Industrial Engineering and Operations Research
Number E4577
Section 001
Division School of Engineering and Applied Science: Graduate
Open To Engineering:Graduate
Note Half term. Please refer to syllabus for prereq information.
Section key 20253IEOR4577E001