Data Science in Materials Science Online

4 credits

Comprehensive introduction into the application of data science to materials science. Introduction to broad array of machine learning techniques (e.g., supervised, unsupervised, etc.) and applications (e.g., regression, dimensionality reduction, classification), with a focus on practical examples in materials science. This is a fully online, self-paced course that utilizes multi-platform instructional techniques (video, text, and instructional coding environments). Students may not receive credit for both NANO 181R and NANO 181.