EE 112: Introduction to Signal Processing
San Jose State University
Introduction to discrete-time signal processing. Analytical and computational time and frequency domain approaches. Sampling. FIR and IIR filtering. Spectra and spectrograms. Artificial intelligence (AI) approaches to signal classification and processing. Real-life applications. Prerequisite(s): EE 98 and MATH 33LA or MATH 33A (each with grade of C- or better). Allowed Declared Major: Electrical Engineering.
Average GPA: 3.12
Grade distribution records: 1,174 students across 16 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 63 | 5.4% |
| A | 375 | 31.9% |
| A- | 101 | 8.6% |
| B+ | 93 | 7.9% |
| B | 149 | 12.7% |
| B- | 74 | 6.3% |
| C+ | 81 | 6.9% |
| C | 130 | 11.1% |
| C- | 54 | 4.6% |
| D+ | 8 | 0.7% |
| D | 33 | 2.8% |
| D- | 5 | 0.4% |
| F | 8 | 0.7% |
Based on 1,174 student grade records across 16 terms and 4 professors.
Instructors
- Ahmed Essam A Marouf 514 students, Average GPA 2.61
- Jonathan Joseph Ponniah 459 students, Average GPA 3.75
- Tan V Nguyen 155 students, Average GPA 3.08
- Pedro E Santacruz 46 students, Average GPA 2.79