MATH 162: Statistics for Bioinformatics
San Jose State University
Introduction to the theory and applications of statistical methodology in the biological sciences. Topics include inference, stochastic processes, Markov chains, hidden Markov models, clustering, and gene expression analysis. Applications to current molecular biology and genetics problems. No biology background required. Prerequisite(s): MATH 161A (with a grade of "C-" or better) or instructor consent. Allowed Declared Major: Mathematics major/minor and MS Bioinformatics.
Average GPA: 2.74
Grade distribution records: 223 students across 8 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 10 | 4.5% |
| A | 33 | 14.8% |
| A- | 22 | 9.9% |
| B+ | 10 | 4.5% |
| B | 38 | 17.0% |
| B- | 23 | 10.3% |
| C+ | 21 | 9.4% |
| C | 28 | 12.6% |
| C- | 16 | 7.2% |
| D+ | 7 | 3.1% |
| D | 6 | 2.7% |
| D- | 4 | 1.8% |
| F | 5 | 2.2% |
Based on 223 student grade records across 8 terms and 2 professors.
Instructors
- Martina Bremer 153 students, Average GPA 2.67
- Patrick Allison Murphy 70 students, Average GPA 2.90