Covers bioinformatics models and algorithms: the use of computational techniques to convert the masses of information from biochemical experiments (DNA sequencing, DNA chips, and other high-throughput experimental methods) into useful information. Emphasis is on DNA and protein sequence alignment and analysis.
7 terms
Other grades
University of California, Santa Cruz
BME 205 at UCSC: average GPA 3.58 across 332 students. Grade distribution by term. Covers bioinformatics models and algorithms: the use of computational…
Average GPA: 3.58
Grade distribution records: 332 students across 7 terms.
| Grade | Students | Percent |
|---|---|---|
| A+ | 26 | 7.8% |
| A | 145 | 43.7% |
| A- | 38 | 11.4% |
| B+ | 22 | 6.6% |
| B | 12 | 3.6% |
| B- | 9 | 2.7% |
| C+ | 3 | 0.9% |
| C | 8 | 2.4% |
| F | 11 | 3.3% |
| P | 2 | 0.6% |
| S | 52 | 15.7% |
| U | 2 | 0.6% |
| W | 2 | 0.6% |
Based on 332 student grade records across 7 terms and 4 professors.
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