Computer Science 611:
Mathematics of High-Dimensional Data (4.0 units)
Modern developments in data representation/analysis, nonconvex optimization, high-dimensional probability, sketching, clustering, low-rank models, inverse problems, applications in imaging, machine learning, computer vision and neuroscience.
- Prerequisite: EE 510 and EE 503
- Crosslist: This course is offered by the EE department but may qualify for major credit in CSCI. To register, enroll in EE 546.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 30401D | 048 | Lecture | 10:00-11:50am | Mon, Wed | 34 of 37 | Mahdi Soltanolkotabi | CPA203 |  |