Group assignment 1.6: Icy Dicey Propagation#
Due: 12:30 on Friday, October 10th, 2025.
You can preview this assignment on https://mude.citg.tudelft.nl/workbook-2025/assignments/GA1.6/README.html. After the deadline, this link will include solutions. The preview of the assignment version is shared here: https://mude.citg.tudelft.nl/workbook-2025/no_solutions/assignments/GA1.6/README.html. Pages can be downloaded as .md and .ipynb files to your computer. You can obtain your personal repository for submission on: https://classroom.github.com/a/Cpz9Oc2g
GA 1.6 concerns the propagation of uncertainty, in particular focusing on the first two moments: Mean and Variance. This is done via an analytical approach, i.e. Taylor approximation that allows propagating moments of the distribution, and later with a numerical approach, i.e. mean-variance sample estimation based on Monte Carlo (MC) simulations.
Ultimately, the two strategies are compared in the Python Jupiter Notebook, and discussed by the students in a short report.
Evaluation remark#
Make sure to finalize the Report (more important!), and that files are in the root directory of this repository (i.e., same as this README file).
By Lotfi Massarweh and Sandra Verhagen, Delft University of Technology. CC BY 4.0, more info on the Credits page of Workbook.