The Graduate Certificate in Embedded Systems provides an introduction to embedded systems, including hardware design and software engineering principles. Students learn to apply electrical engineering, computer engineering, and computer science principles in real-world embedded platforms.
Students interested in graduate work should refer to CSU's Graduate and Professional Bulletin.
Learning Objectives
Students will:
- Think critically about embedded and Internet-of-Things (IoT) computing.
- Communicate effectively both with technical experts in their field and with experts from related fields who do not have specific backgrounds in embedded and IoT computing.
- Assimilate advanced knowledge from disciplines of science and engineering to broaden their expertise in Embedded and IoT computing.
Effective Fall 2021
Additional coursework may be required due to prerequisites.
| Code | Title | Credits |
|---|---|---|
| Select three courses from the following: 1 | 11-12 | |
| Machine Learning | ||
| Foundations of Fine-Grain Parallelism | ||
| Parallel Processing | ||
| Embedded Systems and Machine Learning | ||
| Computer Architecture | ||
| Manycore System Design Using Machine Learning | ||
| Hardware/Software Design of Embedded Systems | ||
| Advanced Topics in Embedded Systems | ||
| Program Total Credits: | 11-12 | |
*This certificate may have courses in common with other graduate certificates. A student may earn more than one certificate, but a given course may be counted only in one certificate.
- 1
At least one ECE course is required.