| Call Number | 19000 |
|---|---|
| Day & Time Location |
T 10:00am-1:00pm To be announced |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Elham Azizi |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | Statistical machine learning techniques and advanced mathematical concepts for analysis of high-dimensional biomedical data. Topics include optimal transport and probabilistic modeling for multi-modal genomic and imaging data integration and analysis of spatial and temporal dynamics. Programming assignments, problem sets, and a final project will be required. |
| Web Site | Vergil |
| Department | Biomedical Engineering |
| Enrollment | 7 students (40 max) as of 6:06PM Thursday, January 2, 2025 |
| Subject | BMEN & COMS |
| Number | E4575 |
| Section | 001 |
| Division | School of Engineering and Applied Science: Graduate |
| Open To | Engineering:Undergraduate, Engineering:Graduate, GSAS |
| Section key | 20251BMCS4575E001 |