I teach a fairly wide range of courses that cover topics including GIS and Remote Sensing, Data Analysis, as well as Introductory and Advanced Physical Geography. In addition I have been fortunate to lead several international off campus courses ranging in length from several weeks to an entire semester. Currently I am working with members of the lab to integrate data science tools and techniques such as GitHub and R into our cirriculum.
The links below provide access to lecture notes with code examples, and accompanying homework assignments.
Topic 1: Introduction to R
Topic 2: Probability
Topic 3: Statistical Inference
Topic 4: Correlation
Topic 5: Regression
The links below provide access to homework exercises.
Lab1: Introduction to GitHub and R
The links below provide access to homework exercises.
Lab1: Introduction to R
Lab2: Manipulating Matrices
Lab3: Manipulating Time Series Data
Lab4: Data Cleaning
Lab5: Answering Questions with Data