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NOTE: Course information changes frequently, including Methods of Instruction. Please revisit these pages periodically for the most recent and up-to-date course information. | |
Spring 2022 Industrial Engineering and Operations Research E4511 section 001 Industry Projects in Analytics & Operati Industry Projs in Analyti | |
| Call Number | 17148 |
| Day & Time Location |
M 9:00am-11:30am 301 Uris Hall |
| 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 | 77 students (90 max) as of 8:03AM Saturday, June 25, 2022 |
| Subject | Industrial Engineering and Operations Research |
| Number | E4511 |
| Section | 001 |
| Division | School of Engineering and Applied Science: Graduate |
| Campus | Morningside |
| Section key | 20221IEOR4511E001 |
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