(Changed in 2024SS since Melanie B. Sigl is not participating this time)
- Course Intro - Dominik Probst
- Introduction - Dominik Probst
- Data - Dominik Probst
- Preprocessing - Dominik Probst
- OLAP - Dominik Probst
- Mining Frequent Patterns, Associations and Correlations - Dominik Probst
- Classification - Dominik Probst
- Cluster Analysis - Dominik Probst
- Outlier Analysis - Dominik Probst
- Current Research at CS6 - Dominik Probst
- Introduction to Python & Pandas - Dominik Probst
- Data analysis & data preprocessing - Dominik Probst
- Frequent Patterns - Dominik Probst
- Classification - Dominik Probst
- Clustering - Dominik Probst
- Frequent Patterns - Dominik Probst
- Classification - Dominik Probst
- Clustering - Dominik Probst
- Semester duration: 15 April 2024 – 19 July 2024
- Public holidays:
- Wednesday, 1 May 2024
- Thursday, 9 May 2024
- Monday, 20 May 2024
- Thursday, 30 May 2024
- FAU specific holidays (no lectures and exercises):
- Tuesday, 21 May 2024
- Friday, 31 May 2024
To build these lecture slides locally on your machine you’ll need an up-to-date version of LaTeX such as texlive or MikTex.
We use the framework pre-commit to manage our pre-commit hooks. This simplifies the maintenance of the hooks - especially on heterogeneous systems - but requires an initial installation process of the individual users.
First, the framework itself must be installed. This process is explained on the framework’s website under “Installation”.
The second thing that needs to be done is to install the pre-commit hooks themselves.
This can be achieved by running the command pre-commit install
in the root
directory of this project.
We assume that each commit has been validated with these pre-commit hooks and will not accept pull requests that contain unvalidated commits (the pre-commit hooks are also checked again on the server side by a GitHub action).