| Call Number | 11956 |
|---|---|
| Day & Time Location |
F 1:10pm-3:40pm 451 Computer Science Building |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | David A Knowles |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | This course will introduce modern probabilistic machine learning methods using applications in data analysis tasks from functional genomics, where massively-parallel sequencing is used to measure the state of cells: e.g. what genes are being expressed, what regions of DNA (“chromatin”) are active (“open”) or bound by specific proteins. |
| Web Site | Vergil |
| Department | Computer Science |
| Enrollment | 112 students (120 max) as of 7:54PM Sunday, February 9, 2025 |
| Subject | Computer Science |
| Number | E4762 |
| Section | 001 |
| Division | School of Engineering and Applied Science: Graduate |
| Section key | 20243COMS4762W001 |