teaching
courses
- Applied Numerical Analysis, an 2nd-year BSc course given to aerospace engineering students at TU Delft. Introduction to the topic, prerequistes are calculus (ideally multi-dimenional and ODEs), linear algebra, and programming (for the Python tutorials. All material is available at here. Recorded lectures from 2017 are here.
- Uncertainty quantification (fully online), a graduate-level (MSc) introduction to the numerical-statistical field of "Uncertainty Quantification" (UQ), demonstrated with applications to computational models based on PDEs, especially CFD. The course is taught in an MSc at TU Delft, April-June, but open to all.
I supervise MSc projects in the Aerodynamics/Wind-energy track, in the general area of data-driven modelling, machine-learning and data-assimilation. If you are a TU Delft student looking for a project approach me for suggestions. A list of recent completed theses under my supervision is available.