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 | TBD |
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. |

Prof. Dr. Jana-Rebecca Rehse
Assistant Professor of Management Analytics
L 15, 1–6 – Room 413
68161 Mannheim
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
Lecturer Prof. Dr. Jana-Rebecca Rehse Lectures take place on Thursdays in attendance.
Date Topics September 4, 2025 Process Modeling September 11, 2025 Introduction & Foundations September 18, 2025 Petri Net Analysis September 25, 2025 Process Elicitation & Model Quality October 2, 2025 Process Mining Introduction & Methodology October 9, 2025 Basic Process Discovery & Quality October 16, 2025 Advanced Process Discovery October 23, 2025 Guest Lecture Signavio October 30, 2025 Conformance Checking November 06, 2025 Process Enhancement November 13, 2025 Guest Lecture TBD November 20, 2025 Process Quality & Redesign November 27, 2025 Guest Lecture TBD December 04, 2025 Recap and Q&A Exercises
The exercises take place on Monday from 10:15 to 11:45. For each exercise session, we expect that you have attended the corresponding lecture the week before or have otherwise familiarized yourself with the lecture's contents. You can also already familiarize yourself with the exercises, but it’s not necessary to have completed the exercises to attend the session.
These sessions will be active. Each session will start with a Kahoot! quiz to recap what you learned in the lecture, followed by a Q&A regarding the week’s lecture materials. Afterwards, you have the option to work on the exercises (collaboratively or individually) and ask questions about them.
Because of the active nature of the exercise sessions, they cannot be recorded. However, we will upload the quiz questions to ILIAS.
Date Topics September 08, 2025 Process Modeling September 15, 2025 Introduction & Foundations September 22, 2025 Petri Net Analysis September 29, 2025 Process Elicitation & Model Quality October 6, 2025 Process Mining Introduction & Methodology & Tool Overview (Disco / Celonis) October 13, 2025 Basic Process Discovery & Quality October 20, 2025 Advanced Process Discovery October 27, 2025 --- November 03, 2025 Conformance Checking November 10, 2025 Process Enhancement November 17, 2025 Case Study Q&A November 24, 2025 Process Quality & Redesign December 1, 2025 Exam practice Case Study
This course contains a (mandatory) case study. More information will be posted to ILIAS after the course has started.
Date Information October 9, 2025 Group Project Explanation November 27, 2025 Group Project Deadline (23:59)