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