STAT 209: Gen Linear Models
University of California, Santa Cruz
Theory, methods, and applications of generalized linear statistical models; review of linear models; binomial models for binary responses (including logistical regression and probit models); log-linear models for categorical data analysis; and Poisson models for count data. Case studies drawn from social, engineering, and life sciences. (Formerly AMS 274.)
Average GPA: 3.26
Grade distribution records: 12 students across 1 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 3 | 25.0% |
| B+ | 1 | 8.3% |
| D | 1 | 8.3% |
| S | 7 | 58.3% |
Based on 12 student grade records across 1 term and 1 professor.
Instructors
- Athanasios Kottas 12 students, Average GPA 3.26