One emerging branch of data science is process mining. In the field of process automation, process mining aims at deriving qualitative and quantitative insights on the execution of a process based on recorded events logs.The course focuses on the formal foundations and basic techniques of process mining. Specifically, this includes algorithms for process discovery that construct models from event data. Also, essential conformance checking techniques to identify deviations between models and event data, e.g., by replay or alignment construction will be discussed. Finally, advanced techniques for model extension, process simulation, and performance prediction will be reviewed. The lectures are complemented with exercises, in which course participants are exposed to real-world data and work with process mining techniques. The exercises include a project work that takes up state-of-the-art developments in the field.
The course will be given in English.To be eligible to take the final exam and earn the LP, each student will be required to successfully complete a project task during the semester.
Die Veranstaltung wurde 1 mal im Vorlesungsverzeichnis WiSe 2024/25 gefunden:
