Neuromorphic Computing (EE 518/597): SP 20, SP 22, SP 24
Content: The new developed graduate course offers an interdisciplinary perspective on neuromorphic computing across the computing stack combining insights from machine learning, computational neuroscience to materials, devices, circuits and systems.
Digital Integrated Circuits (EE/CMPEN 416): FA 19, FA 21, FA 23
Content: In this technical elective course we will analyze and design digital integrated circuit building blocks including logic gates, sequential elements and volatile/non-volatile memories.
Electronic Circuit Design I (EE 310): SP 19, SP 21, FA 22, SP 23
Content: Properties of fundamental electronic devices, analysis of DC, AC small-signal and nonlinear behavior, analog and digital circuit design applications.
Circuits and Devices (EE 210): FA 20, FA 21
Content: Introduction to electrical circuit analysis, electronic devices, amplifiers, and time-domain transient analysis.