CFD 4: Uncertainty Quantification

This course is a general introduction to the numerical-statistical field of Uncertainty Quantification (UQ), with a particular focus on methods relevant for fluid dynamics (both CFD and to a lesser extent experimental methods), and machine learning.

Prerequisites:

- Probability and statistics (fundamentals)

- Numerical analysis (fundamentals)

- CFD (familiarity and interest)

- Scientific programming in Python (basics)

The latter is for completing the programming homework assignments. Python is recommended and supported, but other languages may be used if preferred.