Techniques of probability and data analysis as applied to problems in environmental sciences. Sampling, statistical inference, descriptive statistics, multivariate methods, time series analysis. Course Information: Prerequisite(s): Completion of at least one 200- or 300-level course in the earth and environmental sciences or consent of the instructor. Class Schedule Information: To be properly registered, students must enroll in one Laboratory and one Lecture.