Eindhoven University of Technology is offering an online course on process mining.
Process mining is the missing link between model-based process analysis and data-oriented analysis techniques.
Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyse and improve processes in a variety of domains.
About the Course
- The course explains the key analysis techniques in process mining. Students will learn various process discovery algorithms
- This course starts with an overview of approaches and technologies that can be used in event data to support decision making and business process (re)design
- The first type of process mining is discovery. A discovery technique takes an event log and produces a process model without using any a-prior information
The second type of process mining is conformance. Here, an existing process model is compared with an event log of the same process. Conformance checking can be used to check if reality, as recorded in the log, conforms to the model and vice versa The third type of process mining is enhancement. Here, the idea is to extend or improve an existing process model using information about the actual process recorded in some event log, This third type of process mining aims at changing or extending the a-priori model
- Basic knowledge of logic, sets, and statistics (at the undergraduate level) is essential
- Course length: 6 weeks