Assess students' ability to apply Bayesian parameter estimation to fit SIR/SEIR models to outbreak time-series: specify priors and likelihoods, implement MCMC or variational inference, account for observation noise and underreporting, perform convergence diagnostics and posterior predictive checks, quantify uncertainty (credible intervals) and infer R0 and intervention effects; use a provided dataset, submit code, diagnostics, and a concise interpretation of epidemiological implications and model selection rationale.