Hide Advanced Options
Courses - Fall 2025
ENEE
Electrical & Computer Engineering Department Site
Open Seats as of
05/18/2025 at 09:30 PM
ENEE719D
Advanced Topics in Microelectronics; Embedded Machine Learning
Credits: 3
Grad Meth: Reg, Aud
An introduction to the design and deployment of machine learning models optimized for edge devices and energy-efficient hardware accelerators. The course covers advanced model reduction techniques, such as quantization and pruning, to streamline complex models for deployment onresource-constrained platforms. Students will gain hands-on experience with Cadence Virtuoso to build circuits and systems that leverage in-memory computing architectures, facilitating efficient computation and reduced energy consumption.