| Call Number | 20354 |
|---|---|
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | David A Knowles |
| Type | LECTURE |
| Method of Instruction | On-Line Only |
| 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 | Video Network |
| Enrollment | 2 students (99 max) as of 11:06AM Friday, October 31, 2025 |
| Subject | Computer Science |
| Number | E4762 |
| Section | V01 |
| Division | School of Engineering and Applied Science: Graduate |
| Open To | Engineering:Graduate |
| Fee | $395 CVN Course Fee |
| Note | VIDEO NETWORK STUDENTS ONLY |
| Section key | 20253COMS4762WV01 |