| Call Number | 11608 |
|---|---|
| Day & Time Location |
M 9:00am-11:30am 633 Seeley W. Mudd Building |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Michael Robbins |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | Teams of students work on real-world projects in analytics. Focus on three aspects of analytics: identifying client analytical requirements; assembling, cleaning and organizing data; identifying and implementing analytical techniques (e.g., statistics and/or machine learning); and delivering results in a client-friendly format. Each project has a defined goal and pre-identified data to analyze in one semester. Client facing class. Class requires 10 hours of time per week and possible client visits on Fridays.
|
| Web Site | Vergil |
| Department | Industrial Engineering and Operations Research |
| Enrollment | 50 students (150 max) as of 9:05AM Saturday, December 21, 2024 |
| Subject | Industrial Engineering and Operations Research |
| Number | E4511 |
| Section | 001 |
| Division | School of Engineering and Applied Science: Graduate |
| Open To | Engineering:Undergraduate, Engineering:Graduate |
| Section key | 20241IEOR4511E001 |