Model Calibration and Uncertainty Quantification



This course introduces students to uncertainty quantification for physical and biological models. Course topics include parameter selection techniques, sensitivity analysis, and frequentist and Bayesian model calibration. Propagation of uncertainties in the models is studied along with the construction of surrogate models and stochastic spectral methods. Applications include climate, engineering, biological and biomedical phenomena.

Course period15/01/24 → …