Content overview#
This page shows an overview of the book theory, lecture slides, assignments and fundamental concepts per week.
Week |
Topic |
Programming Topic |
|---|---|---|
1.1 |
- |
Version control with Git |
1.2 |
Numerical Modelling 1 |
Report in markdown |
1.3 |
Numerical Modelling 2 |
VS Share and VS Intellisense |
1.4 |
Univariate Distributions |
|
1.5 |
Multivariate Distributions |
|
1.6 |
Uncertainty Propagation |
LLM tools, PY scripts |
1.7 |
Observation Theory 1 |
Debugging |
1.8 |
Observation Theory 2 |
- |
2.1 |
Numerical Methods for PDEs |
Object-oriented programming |
2.2 |
FEM |
Numerical efficiency |
2.3 |
Signal Processing |
Errors in python |
2.4 |
Time Series Analysis |
Testing in python |
2.5 |
Optimization |
Packages + Modules |
2.6 |
Machine Learning |
- |
2.7 |
Extreme Value Analysis |
- |
2.8 |
Risk Analysis |
- |
Programmings topics exclude fundamental programming concepts and exercises related to workshops and group assignments.
On the subpages the content of every week is shown in more detail.