Process Management and Analytics
IS 515 for Master's program (MMM, MMBR, MMDS, 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%, mandatory) |
| Exam Date | To be announced |
| Information for Students | Attention: This course is limited to 120 participants. Please register in time via Portal² and carefully follow the instructions provided in Portal². It is sufficient to register for the lecture only. |
Course Information
Short Description
Business processes are the structural core of every modern enterprise. In this course, we will cover the fundamentals of business process management (BPM) by introducing students to relevant concepts and methods for modelling, analysing, implementing, and controlling processes. We will put particular focus on data-driven BPM methods (process analytics). The overall course goals are that students recognize the influence of data-driven business process management on corporate success and are able to use analytical methods to discover and evaluate optimization potential for business processes.
The lectures will be accompanied by exercise sessions, where the concepts and methods will be practically applied through text-based exercises, manual computations, standard process mining tools as well as light-weight programming. In addition, students will have to participate in a case study, where they will apply process mining methods in a practical business case.
Objectives
Upon successful completion of this course, you will be able to:
- Design and improve business processes using suitable methods
- Analyze properties of process models and event logs
- Apply and compare the most important methods of process discovery and conformance checking
- Suggest data-based process optimizations
- Explain how business processes can be supported by information technology
Lecture
Exercises
The exercises take place on Mondays. There are three dates from 10:15 to 11:45, from 12:00 to 13:30 and from 15:30 to 17:00. The date from 12:00–1:30 p.m. is intended specifically for students from higher semesters and those who have failed the exam in previous semesters. You can choose which exercise you attend.
After each lecture, an exercise sheet including the corresponding solutions will be published on ILIAS. During the exercises you can ask questions about these exercise sheets. Since the course content can only be learned through self-directed application of the individual topics, the exercises are not intended for you to watch us solve the exercises.
Case Study