Praktika

In this lab, students will work in small teams to implement algorithms and techniques from the field of Process Mining. The goal is to gain hands-on experience with modern process analysis methods and to deepen understanding by translating theoretical concepts into working software.

Possible topics (to be finalized at the beginning of the course):

• LLM-assisted Process Mining Techniques
• Event Abstraction and Transformation
• Clustering in Process Mining
• Partially-Ordered Event Data
• Predictive Process Mining

Technical Requirements:

• Solid programming skills in Python are mandatory (the lab will primarily use the PM4Py library)
• For visualization tasks, knowledge of web technologies (HTML, CSS, JavaScript, TypeScript) is helpful

Language:
The lab will be held in English or German, depending on the composition of the participants.

Publication Opportunity:
Depending on student interest, motivation, and result quality, project results may be further developed and submitted as a tool/workshop/full paper to an international conference upon completion of the lab.