EE 215: STOCHASTIC PROCESSES
University of California, Riverside
4 Units, Lecture, 3 hours; discussion, 1 hour. Prerequisite(s): graduate standing or consent of instructor. A study of probability and stochastic processes. Topics include discrete and continuous random variables; probability densities; characteristic functions; convergence of random sequences; central limit theorem; autocorrelation functions and spectral densities; wide-sense and strict-sense stationarity; Markov chains and processes; and response of linear time-invariant systems to random signals.
Average GPA: 3.65
Grade distribution records: 236 students across 7 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 50 | 21.2% |
| A | 68 | 28.8% |
| A- | 54 | 22.9% |
| B+ | 27 | 11.4% |
| B | 18 | 7.6% |
| B- | 13 | 5.5% |
| C+ | 2 | 0.8% |
| C | 3 | 1.3% |
| C- | 1 | 0.4% |
Based on 236 student grade records across 7 terms and 2 professors.
Instructors
- Basak Guler 157 students, Average GPA 3.77
- Samet Oymak 79 students, Average GPA 3.42