| Call Number | 13720 |
|---|---|
| Day & Time Location |
W 4:10pm-6:40pm 633 Seeley W. Mudd Building |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | John Wright |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | Overview of theory, computation and applications for sparse and low-dimensional data modeling. Recoverability of sparse and low-rank models. Optimization methods for low-dim data modeling. Applications to imaging, neuroscience, communications, web data. |
| Web Site | Vergil |
| Department | Electrical Engineering |
| Enrollment | 10 students (60 max) as of 12:06PM Friday, October 31, 2025 |
| Subject | Electrical Engineering |
| Number | E6876 |
| Section | 001 |
| Division | School of Engineering and Applied Science: Graduate |
| Section key | 20251ELEN6876E001 |