EE 114: PROBABILITY, RANDOM VARIABLES, AND RANDOM PROCESSES IN ELECTRICAL ENGINEERING
University of California, Riverside
4 Units, Lecture, 3 hours; discussion, 1 hour. Prerequisite(s): EE 020A or MATH 045 or MATH 046. Covers fundamentals of probability theory, random variables, and random processes with applications to electrical and computer engineering. Includes probability theory, random variables, densities, functions of random variables, expectations and moments, and multivariate distributions. Also addresses random processes, autocorrelation function, spectral analysis of random signals, and linear systems with random inputs.
Average GPA: 3.20
Grade distribution records: 799 students across 21 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 76 | 9.5% |
| A | 135 | 16.9% |
| A- | 117 | 14.6% |
| B+ | 117 | 14.6% |
| B | 130 | 16.3% |
| B- | 74 | 9.3% |
| C+ | 37 | 4.6% |
| C | 40 | 5.0% |
| C- | 26 | 3.3% |
| D+ | 7 | 0.9% |
| D | 10 | 1.3% |
| D- | 2 | 0.3% |
| F | 5 | 0.6% |
| NP | 4 | 0.5% |
| S | 14 | 1.8% |
| W | 5 | 0.6% |
Based on 799 student grade records across 21 terms and 4 professors.
Instructors
- Matt Vaezi 254 students, Average GPA 3.46
- Samet Oymak 168 students, Average GPA 3.26
- Nanpeng Yu 68 students, Average GPA 3.12
- Jia Chen 27 students, Average GPA 3.32