MATH 475 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.

Credits

3

Prerequisite

(COSC 114 or MATH 346) and (MATH 204 or MATH 211) and (MATH 242 or MATH 243 or MATH 244) and (MATH 319 or COSC 312)

Distribution

(3,0,3)

Offered

Fall Spring