3.0

credits

Average Course Rating

Environmental data is often messy-contaminated with noise, fundamental nonlinear, potentially stationary. This course will build on Menke and menke's Environmental Data Analysis with Matlab to examine methods of analyzing environmental data that don't lead us to confuse noise with signal. Topics covered will include significance testing, spectral estimation, nonparametric methods, multivariate data analysis. Applications will be tailored to the student interest.