CEMS 472: Machine Learning Applications in Battery Life Predictions

Department
School
Inamori School of Engineering
Credits 1
Fundamentals of battery chemistry and the degradation mechanisms, battery degradation data acquisition in lab, essential data science skills for analyzing battery data and application of machine learning modeling in the prediction of battery degradation.
Corequisites
Crosslisted

ENGR 572