STAT 207: Intermed Bayes Stat
University of California, Santa Cruz
Hierarchical modeling, linear models (regression and analysis of variance) from the Bayesian point of view, intermediate Markov chain Monte Carlo methods, generalized linear models, multivariate models, mixture models, hidden Markov models. (Formerly AMS 207.)
Average GPA: 3.51
Grade distribution records: 41 students across 3 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 5 | 12.2% |
| A | 5 | 12.2% |
| A- | 5 | 12.2% |
| B+ | 3 | 7.3% |
| B | 4 | 9.8% |
| B- | 2 | 4.9% |
| C | 1 | 2.4% |
| S | 12 | 29.3% |
| U | 4 | 9.8% |
Based on 41 student grade records across 3 terms and 2 professors.
Instructors
- Bruno Sanso 31 students, Average GPA 3.33
- Zehang Li 10 students, Average GPA 3.89