Machine Learning and Data Analytics for Edge Artificial Intelligence
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.
Prerequisites & course information
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.
Sources
- Course catalogue ↗2026-2027