ADVANCED CLIMATOLOGICAL ANALYSIS

Prerequisites & course information

Requisites: Graduate/professional standing Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Learning Outcomes: 1. Identify and apply appropriate statistical, mathematical, and machine learning techniques for testing hypotheses using geophysical data Audience: Graduate 2. Carry out, evaluate and interpret results from specific statistical analyses of atmospheric, oceanic, or climatic phenomena Audience: Graduate 3. Identify alternate methods for evaluating or interpreting results from statistical analyses of atmospheric, oceanic, or climate phenomena Audience: Graduate 4. Critically evaluate application of statistical, mathematical, and machine learning techniques in existing atmospheric, oceanic, and climate literature Audience: Graduate 5. Identify and research new applications of statistical and machine learning techniques in atmospheric, oceanic, and climate sciences Audience: Graduate Learning Outcomes: 1. Identify and apply appropriate statistical, mathematical, and machine learning techniques for testing hypotheses using geophysical data Audience: Graduate 2. Carry out, evaluate and interpret results from specific statistical analyses of atmospheric, oceanic, or climatic phenomena Audience: Graduate 3. Identify alternate methods for evaluating or interpreting results from statistical analyses of atmospheric, oceanic, or climate phenomena Audience: Graduate 4. Critically evaluate application of statistical, mathematical, and machine learning techniques in existing atmospheric, oceanic, and climate literature Audience: Graduate 5. Identify and research new applications of statistical and machine learning techniques in atmospheric, oceanic, and climate sciences Audience: Graduate