Gain skills needed to understand modern processor, memory, network, and sensor architectures, as well as analyze and optimize various embedded hardware design and software architectural candidates. Students will learn to analyze and explore an embedded system design space; address contemporary design challenges pertaining to reliability, power and thermal efficiency, real-time performance and security; and model embedded hardware and software components for simulation and exploration.

Effective Fall 2016

 Additional coursework may be required due to prerequisites.

Select three courses from the following: 111-12
Machine Learning
Foundations of Fine-Grain Parallelism
Parallel Processing
Computer Architecture
Hardware/Software Design of Embedded Systems
Advanced Topics in Embedded Systems
Total Credits11-12

 *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.


 At least one ECE course is required.