Assess graduate students' ability to critically evaluate methodologies used to attribute extreme weather events to anthropogenic climate change. Scope includes multi-model detection and attribution frameworks, counterfactual (natural-only) simulation techniques, statistical methods (e.g., optimal fingerprinting, fraction attributable risk, probability ratios), treatment of internal variability and model uncertainty, observational constraints and bias correction, and best-practice study design and communication of uncertainty. Tasks: compare strengths and limitations, identify common biases, and recommend robust methodological choices for a specified case study.