ECEN 250: Machine Learning for Electrical Engineering

Course Description

Credits 3.
2 Lecture Hours.
3 Lab Hours.Engineering application-focused introduction to machine learning covering key machine learning concepts, guidance on selecting machine learning models, and application of python-based tools for data preparation, model development, and performance evaluation; practical engineering use-cases for machine learning from electronics, energy, motors, robotics, security, computer systems, and health; machine learning laboratory project including dataset management, ML model development, visualization, and deployment to an IoT platform showcasing ML expertise.Prerequisites:Grade of C or better inENGR 102; grade of C or better inMATH 251orMATH 253.