Embedded AI and Edge Computing

3 credits · Undergraduate

Machine Learning (ML) models on edge devices with real-time inference constraints. Model quantization, memory optimization, and latency analysis using cloud-based environments and simulators. No credit for students who have earned credit for ECE 5614. Prerequisites: CS 1100, 1101, 1105, or DS 1100; ECE/CS 2123 or ECE/CS 2281 or ME 2171 or BME 2900W or DS 3100 or CE 2200 or CHBE 2250. [3]