Language of the Course

The lectures will be partially in English and German.

The material will be in English.

Questions (in person and the Forum) can be asked in both languages.

Proof of performance

During the Course: Active participation and weekly assignments.

Final examination: 

As proof of performance, you conduct a data science research project and document it in a report.

Your project needs to complete the following mandatory stages:

• Defining one or multiple research question(s)
• Dataset assembly/ annotation
• Data cleaning/ preprocessing
• Dataset description/ exploratory analysis
• Experimental setup
• Experiments
• Analysis of results
• Conclusion

Your report should be 10-12 pages long (without images or plots) and outline all the steps you've taken and, of course, the results.

If you have any questions, especially about the requirements or difficulties finding a dataset or topic, contact Lennart (lennart.keller@uni-wuerzburg.de) as soon as possible.

Schedule and location

To be announced.

Additional information

Since each session contains hands-on parts, students are required to bring their laptops. Unfortunately, the CIP-Pools machines do not include the necessary software, so they cannot be used as a substitute.

Furthermore, a working Python Stack (easiest to set up using Anaconda) has to be installed on your machines.

If Anaconda is not yet installed on your machine, please install it before our first meeting so that we can solve eventual problems quickly together in the first lecture.

Please also make sure to connect your machine to the university's official Wi-Fi (eduroam) since Bayern-WLAN is remarkably unreliable at times.