Scientific Machine Learning for Engineers

These are the lecture and exercise materials related to Introduction to Scientific Machine Learning for Engineers at TUM. Full, readable version at https://tumaer.github.io/SciML

Exercise Setup

The easiest way to run the exercise notebooks is through Google Colab.

If you want to run them locally, we provide this setup tested on Ubuntu 22.04 and macOS 14:

python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt

Admin

Jupyter Book

To build the book:

jb build .

To remove all files in the _build dir:

jb clean .

GitHub Pages

First, you need to pip install ghp-import. Then from the master branch push to GitHub Pages via:

ghp-import -n -p -f _build/html

More info: https://jupyterbook.org/en/stable/publish/gh-pages.html

MyST Markdown

These are some instructions on how to edit the Jupyter book.

Equations

Name equations uniquely to enable referencing them across the whole book, e.g.


$$y = ax + b$$ (weltgleichung)

Die Weltgleichung {eq}`weltgleichung`.

Do not forget to include an emptry line before and after an equation, unless it is within the text.

Figures

For a proper/referencable figure, use

```{figure} ../imgs/my_figure.png
---
width: 500px
align: center
name: my_figure_name
---
My figure (Source: {cite}`bishop2006`).
```

And then refer to it using

this style: {numref}`my_figure_name`.

Referencing

Cite Bolstad by using

this stype: {cite}`bolstad2009`.

Indentation

If e.g. an equation should be within a bullet point, it should be indented respectively. Otherwise, it breaks the bullet list.

Numbered list:

1. First point: some stuff following equation
    
    $$y = ax + b$$ (weltgleichung2)

2. Some more stuff

Misc