Electrical Engineering and Computer Science
menu MENU

Fall 2019: VLSI for Communication and Machine Learning

Fall 2019: VLSI for Communication and Machine Learning

Course No:
EECS 598-006
Credit Hours:
3-4 credits
Instructor:
Hunseok Kim
Prerequisites:
EECS 351 and (EECS 312 or EECS 370) or grad standing

This course will survey methodologies to design energy efficient and/or high-performance VLSI systems for the state-of-the-art wireless communication, machine learning, and signal processing systems. The primary focus of the course is on designing hardware efficient algorithms and energy-aware VLSI IC architectures to deliver the performance and efficiency required by various signal processing and machine learning applications. The course will be a mix of lectures and student-led presentations/projects. The content will be suitable for senior undergraduates or graduate students interested in hardware-efficient algorithms and their VLSI implementations.

More info (pdf)