EE 104: Applied Programming in Electrical Engineering
San Jose State University
Review of matrix algebra. Solution of linear, non-linear and ordinary differential equations. Interpolation and integration. Approximation of functions. Python programming in electrical engineering applications, which include signal analysis, neural networks, system modeling. Prerequisite(s): EE 110 and EE 112 both with grades of "C-" or better. Allowed Declared Major: Electrical Engineering.
Average GPA: 3.28
Grade distribution records: 391 students across 14 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 17 | 4.3% |
| A | 92 | 23.5% |
| A- | 109 | 27.9% |
| B+ | 42 | 10.7% |
| B | 38 | 9.7% |
| B- | 39 | 10.0% |
| C+ | 14 | 3.6% |
| C | 12 | 3.1% |
| C- | 15 | 3.8% |
| D | 2 | 0.5% |
| D- | 3 | 0.8% |
| F | 8 | 2.0% |
Based on 391 student grade records across 14 terms and 3 professors.
Instructors
- Christopher H Pham 267 students, Average GPA 3.09
- Morris E Jones 79 students, Average GPA 3.61
- Mina Rafi Nazari 45 students, Average GPA 3.82