Computational Methods for Data Analysis

5 credits

Exploratory and objective data analysis methods applied to the physical, engineering, and biological sciences. Brief review of statistical methods and their computational implementation for studying time series analysis, spectral analysis, filtering methods, principal component analysis, orthogonal mode decomposition, and image processing and compression. Prerequisite: either familiarity with a scientific programming language and college-level coursework in linear algebra, or permission of instructor. Offered: W.