Hasso-Plattner-Institut25 Jahre HPI
Hasso-Plattner-Institut25 Jahre HPI

Business Process Intelligence (Sommersemester 2023)

Dozent: Prof. Dr. Mathias Weske (Business Process Technology)
Tutoren: Anjo Seidel

Allgemeine Information

  • Semesterwochenstunden: 4
  • ECTS: 6
  • Benotet: Ja
  • Einschreibefrist: 01.04.2023 - 07.05.2023
  • Prüfungszeitpunkt §9 (4) BAMA-O: 31.07.2023
  • Lehrform: Vorlesung
  • Belegungsart: Pflichtmodul
  • Lehrsprache: Englisch

Studiengänge, Modulgruppen & Module

IT-Systems Engineering MA
  • IT-Systems Engineering
    • HPI-ITSE-E Entwurf
  • IT-Systems Engineering
    • HPI-ITSE-M Maintenance
  • BPET: Business Process & Enterprise Technologies
    • HPI-BPET-K Konzepte und Methoden
  • BPET: Business Process & Enterprise Technologies
    • HPI-BPET-T Techniken und Werkzeuge
Data Engineering MA
Digital Health MA
Software Systems Engineering MA


Business processes management is the prime method for managing the operations of an enterprise. Thereby, information systems are employed to implement, monitor, and improve processes.

In the lecture "Business Process Intelligence," you will learn about well-established techniques in business process management as well as the newest developments in research and academia. Topics include modeling processes and decisions, verification and compliance checking, and process mining:

  • Process models are a corner stone of business process management. You will learn how to create good process models in the BPMN language. Thereby, we do not only look at the process of one organization but also at the interplay of multiple organizations.
  • You will learn how to analyze processes to find flaws, inefficiencies, and to verify compliance against regulations such as laws and guidelines.
  • You will learn how to gain process-related insights from data by creating event logs and employing process mining techniques for discovery, conformance checking, and enrichment.

The lecture provides you with an overview of BPM. Afterwards, you'll be well-equipped to deepen your knowledge in specialized lectures, seminars, projects, or self study, to contribute to process management projects in industry, and to conduct first research.

The course will be organized using Moodle [1] (key: bpi2023). Please register both at the Studienreferat and in the Moodle course linked above. For the Moodle you need the credentials for the HPI.

[1] https://moodle.hpi.de/course/view.php?id=419


  1. Introduction
    1. Motivation, characterization and goals
    2. Process models and process instances
    3. Resources and their allocation
    4. Architecture of  execution environments
  2. Process Orchestrations
    1. Business process diagrams
    2. Decisions in process models
    3. Petri nets and workflow nets
  3. Process Choreographies
    1. Modeling process choreographies
    2. Analyzing process choreographies
  4. Analysis of Business Processes
    1. From models to formal models
    2. Soundness properties
    3. Process compliance primer
  5. Process Mining
    1. Basics of process mining
    2. Event log generation
    3. Discovery and conformance checking


Further literature will be provided during the semester.

Lern- und Lehrformen

The content of the lecture will be provided by asynchronous video material. For every content, ungraded quizzes will be provided in the moodle to test ones understanding of the discussed topics. Every two weeks, a lecture will be held that discusses the latest quizzes and provides the opportunity to discuss open questions from the video material.

To practice the aquired knowledge, students have to solve assignments. Passing the assignments is required to pass the class. Students have two weeks to solve and hand in the assignments. After the deadline, the assignments will be discussed in a dedicated lecture.

A seminal paper from the field of business process management will be provided to each student by mid of the semester. Students are to summarize the paper in order to deepen their understanding about the scientific work in BPM.


The lecture will be complemented with graded assignments. Students can work in groups of two. Furthermore, students are assigned to read and summarize one seminal research paper from the field of business process management. The written summary will be graded and contributes 33% to the final grade. A written exam at the end of the semester contributes 67% of the overall grade. To participate in the exam, students are required to hand in all assignments and to reach at least 50% of the achievable points in each of two consecutive assignments (first assignment does not count). To pass the class, both the written summary and the written exam need to be passed.


The first lecture will be held on Monday 17.04.2023 at 9.15 in HS2.
Regulary, lectures will be held on Tuesdays at 11:00 in HS2. In the first week there will be no lecture on Tuesday the 18.04.
Please be aware of announced changes to the schedule!

The exam is on Monday, 07.08.2023 at 13:00 in HS2.


Date Lecture Content
Mo, 17.04.2023 Lecture: Introduction
Tu, 25.04.2023 Quiz Discussion
Tu, 02.05.2023 Assignment Discussion
Tu, 09.05.2023 Quiz Discussion
Tu, 16.05.2023 Assignment Discussion
Tu, 23.05.2023 Quiz Discussion
Tu, 30.05.2023 Assignment Discussion
Tu, 06.06.2023 Quiz Discussion
Tu, 13.06.2023 Lecture: Scientific Writing
Tu, 20.06.2023 Quiz Discussion
Tu, 27.06.2023 Assignment Discussion
Tu, 04.07.2023 Quiz Discussion
Tu, 11.07.2023 -
Tu, 18.07.2023 Quiz Discussion
Mo, 24.07.2023 Assignment Discussion
Tu, 25.07.2023 Lecture: Course Summary