1Represent mathematically the uncertainty in the parameters of physical models.

2Propagate parametric uncertainty through physical models to quantify the induced uncertainty in quantities of interest.

3Calibrate the uncertain parameters of physical models using experimental data.

4Combine multiple sources of information to enhance the predictive capabilities of models.

5Pose and solve design optimization problems under uncertainty involving expensive simulations or experiments.

6Improve scientific writing and data visualization skills.