Data Analysis for Physical Science covers hypothesis testing, principal component analysis, multivariate calibrations, experimental design, and introduction to data mining methods such as support vector machines and neural networks. The focus of the course is on the application of the above topics to practical uses in the fields of the physical sciences through the use of common software packages.
CHEM 285: Data Analysis for Physical Science
Class Program