| Call Number | 14575 |
|---|---|
| Day & Time Location |
R 4:10pm-6:40pm 833 Seeley W. Mudd Building |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Amit K Arora |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | Prerequisite(s): for senior undergraduate Engineering students: IEOR E3608, E3658, and E4307; for Engineering graduate students (M.S. or Ph.D.): Probability and statistics at the level of IEOR E4150, and deterministic models at the level of IEOR E4004; for healthcare management students: P8529 Analytical methods for health services management. Develops modeling, analytical, and managerial skills of engineering and health care management students. Enables students to master an array of fundamental operations management tools adapted to the management of health care systems. Through real-world business cases, students learn to identify, model, and analyze operational improvements and innovations in a range of health care contexts. |
| Web Site | Vergil |
| Department | Industrial Engineering and Operations Research |
| Enrollment | 56 students (100 max) as of 1:06PM Friday, April 19, 2024 |
| Subject | Industrial Engineering and Operations Research |
| Number | E4507 |
| Section | 001 |
| Division | School of Engineering and Applied Science: Graduate |
| Open To | Engineering:Undergraduate, Engineering:Graduate |
| Campus | Morningside |
| Section key | 20231IEOR4507E001 |