Here you will find information on the Professional Development Course for Teachers "data awareness".
Target Group and Requirements
The course is aimed at teachers at lower secondary level who have already obtained a teaching qualification for lower secondary level and who teach or wish to teach computer science at lower secondary level.
Jupyter Notebooks and Python are used in the professional development, for which basic knowledge of Jupyter Notebooks is recommended.
Contents
Contents
This module focuses on the introduction to the web application “Jupyter Notebooks” and the programming language Python. At the same time, the concept of computational essays as documentation of the programming process and the results in the context of an epistemic programming approach is discussed.
Topics
- Introduction to Python and Jupyter Notebooks
- Introduction to Computational Essays
- Epistemic programming including data exploration as a field of application
- Analysis and exploration of various data (environmental data, survey data (e.g. Jim study), ...)
- Various cell formatting and possible customizations in Jupyter Notebooks
- Create your own computational essay
Material
The slides and other materials for professional development will be published here soon.
News
New training course "Data detectives at work" starts on 13.12.2023
Der nächste Durchgang der Fortbildung “Datendetekiv*innen bei der Arbeit – Data Science und künstliche Intelligenz (ohne Programmieren)” findet als zweitägige Lehrkräftefortbildung statt am 13.12.2023 und
