| Call Number | 14665 |
|---|---|
| Day & Time Location |
TR 2:40pm-3:55pm To be announced |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Uday Menon |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | Designed to provide an introduction to data science for sophomore SEAS majors. Combines three perspectives: inferential thinking, computational thinking, and real-world applications. Given data arising from some real-world phenomenon, how does one analyze that data so as to understand that phenomenon? Teaches critical concepts and skills in computer programming, statistical inference, and machine learning, in conjunction with hands-on analysis of real-world datasets such as economic data, document collections, geographical data, and social networks. At least one project will address a problem relevant to New York City. |
| Web Site | Vergil |
| Department | Industrial Engineering and Operations Research |
| Enrollment | 50 students (50 max) as of 11:06AM Tuesday, December 3, 2024 |
| Status | Full |
| Subject | Operation Research: CS-AM |
| Number | E2500 |
| Section | 001 |
| Division | School of Engineering and Applied Science: Undergrad |
| Open To | Barnard College, Engineering:Undergraduate |
| Note | For Undergraduate Students |
| Section key | 20251ORCA2500E001 |