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ECE X61E ECE 361E  Machine Learning and Data Analytics for Edge Artificial Intelligence  3 Hours

3 Lecture Hours  0 Lab 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. Electrical and Computer Engineering 361E and Electrical Engineering 379K (Topic: ML/Data Analytc for EDGE AI) may not both be counted. Three lecture hours a week for one semester.
Pre/Corequisites: Electrical and Computer Engineering 460J (or Electrical Engineering 460J) or Computer Science 342 with a grade of at least C-.  
Grading: Student Option  
Repeatable for credit: No  
Academic Level: Upper Division