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ECE 361E ECE 361E. Machine Learning and Data Analytics for Edge Artificial Intelligence. 3 Hours.

Examine edge computing; Internet-of-Things (IoT); cyber-physical systems; energy-aware machine learning (ML); deep learning; model compression; knowledge distillation; federated learning; ML security; system optimization; model-architecture co-design; object detection; and social sensing. Three lecture hours a week for one semester. Electrical and Computer Engineering 361E and Electrical Engineering 379K (Topic: ML/Data Analytc for EDGE AI) may not both be counted. Prerequisite: Electrical and Computer Engineering 460J (or Electrical Engineering 460J) or Computer Science 342 with a grade of at least C-.