CEE 465 / CEWA 565
This website is the home of labs, assignments, and resources for this class.
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 recommended: IND E 315; AMATH 301 CSE 142; Knowledge of basic statistics and computer programming (Python, R, MATLAB)
Offered: Autumn quarters