Data Science and Materials Informatics

3 credits

Introduction to data science approaches and their applications to materials science research. Basic skills in data mining, data processing, and machine learning for materials research topics using Python taught through case studies and other methodologies. Recommended: prior programming experience; some experience with Python helpful. Offered: jointly with CHEM 441; A.