Process Management and Analytics

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.

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

Lectures take place in attendance.

The exercises take place on Mondays. There are three dates from 10:15 to 11:45, from 13:45 to 15:15 and from 15:30 to 17:00. You can choose which exercise you attend. All three sessions will be taught by the same teaching assistant and have identical contents.

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.

This course contains a (mandatory) case study. More information will be posted to ILIAS after the course has started.