Generative AI Engineering Applications

3 credits · Undergraduate

Introduction to Generative AI, with focus on models, training methodologies, and real-world engineering applications. Theoretical analysis and hands-on labs for challenges in electrical and computer engineering, including synthetic signal generation, defect simulation, data augmentation for low-sample tasks, and digital twin enhancement. No credit for students who have earned credit for ECE 5603. 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]