3.0

credits

Average Course Rating

Machine learning (ML) and principles of informatics are playing an increasing role in many aspects of solid mechanics and materials engineering. ML techniques enable the extraction of relationships from a large amount of seemingly uncorrelated data and can expedite the process of predicting deformation in solids and the discovery/design of materials. This course provides an introductory overview for graduate students on ML and principles of informatics as well as provide a survey of applications of ML in solid mechanics and materials engineering.