Scientific programming in R for modern statistical applications in Earth and environmental science. Study design, linear regression, hypothesis testing with bootstrapping, and inference for proportions, means, and regression models. Course Information: Extensive computer use required. WIFI-enabled laptop computer required. Prerequisite(s): EAES 380 or equivalent experience in a scientific programming language with consent of the instructor. Class Schedule Information: To be properly registered, students must enroll in one Laboratory and one Discussion.