| Call Number | 12462 |
|---|---|
| Day & Time Location |
MW 2:40pm-3:55pm 303 Seeley W. Mudd Building |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Yi Zhang |
| 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 | 51 students (50 max) as of 12:05PM Thursday, December 26, 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 |
| Section key | 20233ORCA2500E001 |