PSTAT 232: COMP TECH STATS
University of California, Santa Barbara
Explores computationally-intensive methods in statistics. Topics covered in clude Fundamentals of Optimization, Combinatorial Optimization, EM algorith m, Monte Carlo simulation, Markov Chain Monte Carlo methods. Lab work is ca rried out using R or Python.
Average GPA: 3.82
Grade distribution records: 172 students across 10 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 13 | 7.6% |
| A | 115 | 66.9% |
| A- | 25 | 14.5% |
| B+ | 6 | 3.5% |
| B | 6 | 3.5% |
| B- | 3 | 1.7% |
| C | 1 | 0.6% |
| F | 2 | 1.2% |
| S | 1 | 0.6% |
Based on 172 student grade records across 10 terms and 3 professors.
Instructors
- Meiring W 76 students, Average GPA 3.80
- Yu G 70 students, Average GPA 3.92
- Oh Sang-Yun 26 students, Average GPA 3.57