University of Illinois Urbana-Champaign 3-4 credits Electrical and Computer Engineering
Implementation of machine learning algorithms on resource-constrained hardware platforms, e.g., IoTs, AR/VR, autonomous vehicles, and biomedical devices. Focused on structure and function of deep neural networks (DNNs); fixed-point requirements for inference and training; lightweight DNNs; algorithm-to-architecture mapping to minimize energy and delay; digital and in-memory AI accelerator architectures. Coursework to include bi-weekly assignments with analysis, Python and Verilog programming and final project on design (undergraduates) or research (graduate students). 3 undergraduate hours. 4 graduate hours. Prerequisite: ECE 313 and ECE 342.
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