BME 230A: Intro Comp Genomics
University of California, Santa Cruz
Introductory and intermediate-level topics in computational genomics, DNA and RNA sequence analysis, mapping, quantification, detection of variants and their associations with disease. Covers topics in machine-learning, probabilistic graphical models, gene regulatory network inference, and single cell analysis. Students conduct related independent research.
Average GPA: 3.44
Grade distribution records: 250 students across 6 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 48 | 19.2% |
| A | 44 | 17.6% |
| A- | 34 | 13.6% |
| B+ | 27 | 10.8% |
| B | 20 | 8.0% |
| B- | 9 | 3.6% |
| C+ | 7 | 2.8% |
| C | 6 | 2.4% |
| C- | 1 | 0.4% |
| D+ | 1 | 0.4% |
| D | 1 | 0.4% |
| F | 5 | 2.0% |
| S | 43 | 17.2% |
| U | 4 | 1.6% |
Based on 250 student grade records across 6 terms and 3 professors.
Instructors
- Benedict John Paten 250 students, Average GPA 3.44
- Joshua M Stuart 199 students, Average GPA 3.43
- Vanessa Jonsson 51 students, Average GPA 3.48