Jupyter Notebooks allow for the creation and sharing of documents that contain live code, equations, visualizations, and narrative text. Jupyter Notebooks are a well-established and well-recognized tool in academia and education in general as well as in specific fields of research where it is important to provide for reproducibility of scientific results. Goal of the project is to develop dedicated Jupyter Notebooks for specific course content relevant in the context of our courses (MOD, MCM, MST, MRE, MRS). The approach can be based on the existing framework that we already use for Juypter Notebooks in some of our courses but may also further improve or suggest new solutions for the framework as such. The selection of the programming language to be used needs to meet the requirements of the course content, most probably Python, but - in fact - is very flexible as Jupyter Notebooks work with a variety of languages.
Mandatory requirement: Student must have understood the course content / material very well and should have passed the course already.
Technologies: Juypter Notebook; Python; Jupyter Notebook Hub of the CS-faculty; Markdown; VS Code (or similar IDE)
Tags: Juypter Notebook; Python; Klas
