| Call Number | 11773 |
|---|---|
| Day & Time Location |
TR 1:10pm-2:25pm 627 Seeley W. Mudd Building |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Christopher J Dolan |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | Focus on advanced statistical techniques for a career in data science or business analytics. Covers the use of writing probabilistic models for data-generating processes, using Bayesian Methods/MCMC to solve such problems. Emphasizes problem identification and general problem-solving tools. Special Topics: Survival Analysis, Missing Data, Robust Statistics, Sequential Analysis, Multiple Testing. Assignments are case-based. |
| Web Site | Vergil |
| Department | Industrial Engineering and Operations Research |
| Enrollment | 13 students (50 max) as of 6:10PM Thursday, May 16, 2024 |
| Subject | Industrial Engineering and Operations Research |
| Number | E4544 |
| Section | 001 |
| Division | School of Engineering and Applied Science: Graduate |
| Campus | Morningside |
| Section key | 20241IEOR4544E001 |