Call Number | 13326 |
---|---|
Day & Time Location |
R 10:10am-12:40pm To be announced |
Points | 3 |
Grading Mode | Standard |
Approvals Required | None |
Instructors | Elham Azizi Andrew J Blumberg |
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 | 0 students (40 max) as of 12:06PM Tuesday, October 14, 2025 |
Subject | BMEN & COMS |
Number | E4575 |
Section | 001 |
Division | School of Engineering and Applied Science: Graduate |
Open To | Engineering:Undergraduate, Engineering:Graduate, GSAS, Medicine |
Section key | 20261BMCS4575E001 |