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. |
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
Date Topics September 5, 2024 Organization, Introduction & Foundations September 12, 2024 Process Modeling with Petri Nets September 19, 2024 Petri Net Analysis September 26, 2024 Process Elicitation & Model Quality October 10, 2024 Process Mining: Introduction & Methodology October 17, 2024 Guest Lecture TBD October 24, 2024 Basic Process Discovery & Quality October 31, 2024 Advanced Process Discovery November 7, 2024 Guest Lecture TBD November 14, 2024 Conformance Checking November 21, 2024 Process Enhancement November 28, 2024 Process Quality & Redesign December 5, 2024 Guest Lecture TBD 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 09, 2024 Introduction & Foundations September 16, 2024 Process Modeling with Petri Nets September 23, 2024 Petri Net Analysis September 30, 2024 Process Elicitation & Model Quality October 7, 2024 --- October 14, 2024 Process Mining: Introduction, Methodology & Tool Overview October 21, 2024 Working with Celonis October 28, 2024 Basic Process Discovery & Quality November 4, 2024 Advanced Process Discovery November 11, 2024 --- November 18, 2024 Conformance Checking November 25, 2024 Process Enhancement December 2, 2024 Process Quality & Redesign Case Study