Data Analysis in Water Sciences#
This website is the home of labs, assignments, and other learning resources for Data Analysis in Water Sciences (CEE 465 & CEWA 565) offered in the Civil and Environmental Engineering department at the University of Washington, Seattle.
This course covers fundamental topics related to data analysis using modern computer techniques, with applications to water sciences (but techniques are applicable to many science disciplines), including:
Statistical inference testing and error estimation
Linear and quantile-based regression models
Monte Carlo simulation
Time series analysis
Bayes theorem
Data visualization
Prerequisite: Any one of the following are recommended: IND E 315 Probability and Statistics for Engineers, AMATH 301 Beginning Scientific Computing, CSE 142 Computer Programming, and/or knowledge of basic statistics and computer programming (Python, R, MATLAB).
Offered: Autumn quarters