Process Mining (CE-BPM)
Process Mining (CE-BPM)
Module Coordinator/Lecturers
Study Programmes
Master's degree programme in Information Systems
Course
Project Description
Process Mining provides a comprehensive exploration of the fundamentals of process mining, including conceptual foundations, methods, and technologies used for analyzing business processes with the help of digital trace data recorded in event logs.
Students attending this course will gain knowledge of foundational concepts and algorithms in process mining and acquire practical skills to mine digital trace data using process mining techniques and software. Students will also learn the main steps of conducting a process mining project within an organization as well as common challenges and strategies of process mining analysis.
The course covers four primary topics:
Students attending this course will gain knowledge of foundational concepts and algorithms in process mining and acquire practical skills to mine digital trace data using process mining techniques and software. Students will also learn the main steps of conducting a process mining project within an organization as well as common challenges and strategies of process mining analysis.
The course covers four primary topics:
- Petri-net foundations of process analysis
- Process mining algorithms, including process discovery and conformance-checking algorithms
- Process mining project methodologies, strategies, and challenges of process mining analysis
- Process mining tools and applications
Teaching Method
- The course involves interactive lectures with exercises and practical sessions with process mining software that allow integrating theoretical knowledge with analytical skills. The practical exercises run in class will allow students to work with process mining hands-on and prepare for the final exam.
Learning Results
After successful completion of the course, students will
Professional competence
Methodological competence
Social competence
Personal competence
Technological competence
Professional competence
- understand how a process mining project can be conducted in practice
- be aware of best practice strategies for conducting process mining analysis
- know how to analyze digital trace data using process mining tools
Methodological competence
- understand the foundational concepts of process mining
- understand how process mining algorithms work
- run process discovery and conformance-checking algorithms
Social competence
- know about the pitfalls of process mining
- understand how process mining is embedded in an enterprise setting
Personal competence
- be able to identify business challenges for which process mining is a fitting solution
- be able to identify challenges of process mining analysis
- be able to apply a process-oriented way of thinking when approaching data science projects
Technological competence
- understand and explain the foundational concepts of process mining
- understand and explain how process mining algorithms work
- be able to use popular process mining tools
Assessment Methods
Written exam