Process Mining and Analytics
IS 514 for Master's program (MMM, MMBR, Business Informatics, Business Education)
General Information
| Lecturer | Prof. Dr. Jana-Rebecca Rehse |
|---|---|
| Course Format | Lecture and Exercise |
| Credit Points | 6 ECTS |
| Language | English |
| Grading | Written exam (80%) and group project (20%) |
| Exam Date | 3rd June 2020 (preliminary) |
| Information for Students | Attention: This course is limited to 80 participants. Please register in time and carefully follow the instructions provided in Portal2. The registration can NOT be done via the regular way. Please click here for more information. |
Course Information
Brief Description
In this course, concepts and methods for process analytics and process mining are theoretically presented and practically applied. This includes methods for process analytics (semantic checks, process matchings, etc.), methods for data mining applied to process data (clustering, classification, anomaly detection, etc.), and methods for process mining (process discovery, conformance checking, process enhancement).
After completing this course, you will be able to:
- Recognize the significance of process analytics and process mining
- Analyze process models and process logs with suitable methods and tools
- Know and apply the most important methods of process discovery and compliance checking
- Suggest data-based optimizations of process behavior
Lecture
Schedule
Date Time Topic Room 01.04.2020 3.30 pm-6.45 pm TBD O 151 Hans Luik Hörssal (Schloss Ostflügel) 22.04.2020 3.30 pm-6.45 pm TBD O 151 Hans Luik Hörssal (Schloss Ostflügel) 29.04.2020 3.30 pm-6.45 pm TBD O 151 Hans Luik Hörssal (Schloss Ostflügel) 06.05.2020 3.30 pm-6.45 pm TBD O 151 Hans Luik Hörssal (Schloss Ostflügel) 13.05.2020 3.30 pm-6.45 pm TBD O 151 Hans Luik Hörssal (Schloss Ostflügel) 20.05.2020 10.15 am-1.30 pm TBD O 142 Engelhorn Hörssal (Schloss Ostflügel)