Test graduate students' ability to analyze and classify major sources of uncertainty in climate model projections — including internal variability, structural and parameter uncertainty, scenario/emissions uncertainty, observational and forcings uncertainty — and evaluate methods for quantification and reduction (ensembles, sensitivity analysis, Bayesian inference, emergent constraints, model intercomparison, and evaluation metrics), plus implications for interpretation and communication of projection results.