2IMI00 - Seminar architecture of information systems

Organizations are constantly trying to improve the way their businesses perform. To this end, managers have to take decisions on changes to the operational processes. However, for decision making, it is of the utmost importance to have a thorough understanding of the operational processes as they take place in the organization.

Typically, such operational processes are supported by information systems that record events as they take place in real life in so-called event logs. Process Mining techniques allow for extracting information from event logs. For example, the audit trails of a workflow management system or the transaction logs of an enterprise resource planning system can be used to discover models describing processes, organizations, and products. Moreover, it is possible to use process mining to monitor deviations (e.g., comparing the observed events with predefined models or business rules in the context of SOX).

Process mining is closely related to BAM (Business Activity Monitoring), BOM (Business Operations Management), BPI (Business Process Intelligence), and data/workflow mining. Unlike classical data mining techniques the focus is on processes and questions that transcend the simple performance-related queries supported by tools such as Business Objects, Cognos BI, and Hyperion.

In this seminar, students are introduced to the research being conducted in the Architecture of Information Systems group of this university. Specifically, this seminar focuses on the state-of-the-art research on Process Mining. To emphasize that Process Mining is not only a research area, but has gained increasing interest from Industry, practical application will be considered.

Objectives

In this seminar, a group of master students will get in touch with research in the area of Information Systems, where Process Mining and Process Modelling are the central themes. By combining recent publications in the area of process mining with practical applications on real-life examples, this course provides a good insight into the research of the AIS group at Eindhoven University of Technology. The research area will be studied in the following ways:

  • Students follow lectures by staff members and guest lecturers from industry.
  • Students will analyze selected Master theses performed within the AIS group to learn about the research topics the group works on and to get a better idea about “patterns” and “anti-patterns” in the execution of a Master project and writing a thesis. The results of this work will be given in a review of a Master thesis and a presentation about it.
  • Students will study research papers and/or book chapters related to a small research project they are to set up and execute.
  • Students will use existing tools such as ProM, Disco, CPN Tools to work on their research project.

Staff involved