Data Science for Chemical Measurements

3 credits

Explores the intersection of chemistry and data science, examining how data-intensive methods and artificial intelligence transform chemical measurement, analysis, and discovery. Addresses what constitutes data in chemical research, challenges unique to analyzing chemical measurements, and foundational data science skills applied to authentic chemical problems. No prior programming experience necessary. Prerequisite: either CHEM 153, CHEM 162, or CHEM 165; recommended: a minimum grade of 1.7 in either CHEM 153, CHEM 162, or CHEM 165. Offered: A.