Process Mining

The students know the key use cases of process mining. They can conduct process mining projects in a structured manner and have a good understanding of process mining techniques: First, they can apply the various process discovery algorithms to derive a process model from an event log (both manually and using tools). Second, they are able to apply basic conformance checking techniques to compare event logs and process models (both manually and using tools). Third, they can extend a process model with information extracted from an event log (e.g., show bottlenecks). The students have a good understanding of the data needed to start a process mining project and they are able to characterize the questions that can be answered based on such event data. Finally, they can relate process mining techniques to other analysis techniques such as simulation, business intelligence, data mining, machine learning, and verification and they can explain how process mining can be used for operational support.

Module Manual