PSTATW 160A: STOCHASTIC PROCESS
University of California, Santa Barbara
Discrete probability models. Review of discrete and continuous probability. Conditional expectations. Simulation techniques for random variables. Disc rete time stochastic processes: random walks and Markov chains with applica tions to Monte Carlo simulation and mathematical finance. Introduction to P oisson process.
Average GPA: 3.05
Grade distribution records: 363 students across 3 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 10 | 2.8% |
| A | 63 | 17.4% |
| A- | 68 | 18.7% |
| B+ | 49 | 13.5% |
| B | 61 | 16.8% |
| B- | 36 | 9.9% |
| C+ | 20 | 5.5% |
| C | 24 | 6.6% |
| C- | 8 | 2.2% |
| D+ | 5 | 1.4% |
| D | 8 | 2.2% |
| F | 11 | 3.0% |
Based on 363 student grade records across 3 terms and 3 professors.
Instructors
- Ludkovski M 229 students, Average GPA 2.84
- Detering N 134 students, Average GPA 3.42
- Shkolnik A D 119 students, Average GPA 2.91