Certificate in Signal Processing
Those seeking expertise in the areas of signal and image processing should take this program, which offers a wide range of advanced courses in the areas of digital signal processing, data compression, image and speech processing, and pattern recognition.
Curriculum
| Code | Title | Credit Hours |
|---|---|---|
| Required Courses | (6) | |
| ECE 437 | Digital Signal Processing I | 3 |
| or ECE 569 | Digital Signal Processing II | |
| ECE 565 | Computer Vision and Image Processing | 3 |
| or ECE 566 | Machine and Deep Learning | |
| Elective Courses | (6) | |
| Select a minimum of two courses from the following: 1 | 6 | |
| Digital Signal Processing I | 3 | |
| Image Processing | 3 | |
| Artificial Intelligence and Edge Computing | 3 | |
| Applied Optimization for Engineers | 3 | |
| Imaging Theory & Applications | 3 | |
| Video Communications | 3 | |
| Internet of Things and Cyber Physical Systems | 3 | |
| Analysis of Random Signals | 3 | |
| Application Software Design | 3 | |
| Artificial Intelligence in Smart Grid | 3 | |
| Computer Vision and Image Processing | 3 | |
| Machine and Deep Learning | 3 | |
| Statistical Signal Processing | 3 | |
| Digital Speech Processing | 3 | |
| Digital Signal Processing II | 3 | |
| VLSI Architecture for Signal Processing and Communication Systems | 3 | |
| Object-Oriented Programming and Machine Learning | 3 | |
| Total Credit Hours | 12 | |
- 1
No more than one selection may be a 400-level course.
