| Call Number | 12489 |
|---|---|
| Day & Time Location |
T 4:10pm-6:40pm 633 Seeley W. Mudd Building |
| 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. |
| Web Site | Vergil |
| Department | Industrial Engineering and Operations Research |
| Enrollment | 51 students (55 max) as of 11:44PM Monday, June 16, 2025 |
| Subject | Industrial Engineering and Operations Research |
| Number | E4577 |
| Section | 001 |
| Division | School of Engineering and Applied Science: Graduate |
| Open To | Engineering:Graduate |
| Note | A-Term |
| Section key | 20233IEOR4577E001 |