EESD21H3: Geophysical and Climate Data Analysis

This course offers an advanced introduction to geophysical data analysis. It is intended for upper-level undergraduate students and graduate students interested in data analysis and statistics in the geophysical sciences and is mainly laboratory (computer) based. The goal is to provide an understanding of the theory underlying the statistical analysis of geophysical data, in space, time and spectral domains and to provide the tools to undertake this statistical analysis. Important statistical techniques such as regression, correlation and spectral analysis of time series will be explored with a focus on hypothesis formulation and interpretation of the analysis. Multivariate approaches will also be introduced. Although some previous knowledge of probability and statistics will be helpful, a review will be provided at the beginning of the course. Concepts and notation will be introduced, as needed.

Jointly offered with EES1132H.

[MATA21H3 or MATA35H3 or MATA36H3] and PHYB57H3/(PSCB57H3) and STAB22H3
Quantitative Reasoning
Graduate students enrolled in the Master of Environmental Science or in a Ph.D. program in DPES have enrollment priority as EESD21H3 it is a partner course for an existing graduate course EES1132H.