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#40990 / #3

Seit WiSe 2022/23
(Deaktivierung beantragt zum SoSe 2023)


Process Mining


Pufahl, Luise




Fakultät IV

Institut für Wirtschaftsinformatik und Quantitative Methoden

34361500 FG Software and Business Engineering

No information


EN 6

Pufahl, Luise


Learning Outcomes

After successfully completing this course, students will be able to: - explain the principles of process mining and its application area - understand the structure of event logs (the basic input for process mining) and how it is generated - know basic process mining algorithms for the different perspectives: discovery, conformance, and enhancement, and their limitations - how to run a process mining project - present results of a data-driven project in a written and oral format.


Process mining is a family of new data analysis methods that aims to discover, monitor, and improve business processes and is increasingly adopted by the industry. It analyses so-called event logs, which capture the real execution data of business processes, and are usually collected from one or several information systems supporting the execution of business processes. The main difference from traditional data analysis techniques is that process mining focuses on the process perspective. It aims to reveal the complex order relations among the activities captured in the event log. This lecture gives an introduction to the field of process mining. After introducing basic formalisms, the lecture provides a detailed and algorithmic perspective on the three key process mining perspectives: process discovery, conformance checking, and enhancement. Furthermore, it is discussed how typically process mining projects are executed. Finally, the lecture shows how process mining is currently used in industrial environments.

Module Components


All Courses are mandatory.

Course NameTypeNumberCycleLanguageSWSVZ
Process MiningIV3436 L 10596WiSe/SoSeEnglish4

Workload and Credit Points

Process Mining (IV):

Workload descriptionMultiplierHoursTotal
180.0h(~6 LP)
Attendance (lecture + lab)10.04.0h40.0h
Pre/post processing10.08.0h80.0h
The Workload of the module sums up to 180.0 Hours. Therefore the module contains 6 Credits.

Description of Teaching and Learning Methods

Lectures, assignments, and a project: - Participation from students is expected, and attendance will be of tremendous value towards successful completion. - Assignments are used to self-study the learned material and for a practical application of the introduced techniques. Students are asked to actively participate in the assignment discussion and prepare for the written exam. - The project will mimic a real-world project, and provide practical experiences in running a process mining project.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

This module assumes advanced computer science / information systems management skills. Before commencing this course, students should - have solid programming background - know basics of business process management.

Mandatory requirements for the module test application:

No information

Module completion



Type of exam

Portfolio examination

Type of portfolio examination

100 Punkte insgesamt



Test elements

(Examination) Final exam50written60 min
(Deliverable assessment) Project presentation20oral20 min
(Deliverable assessment) Project report30written8-15 pages

Grading scale

Test description (Module completion)

No information

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:
Winter- und Sommersemester.

Maximum Number of Participants

The maximum capacity of students is 30.

Registration Procedures

Course registration will be organized through ISIS, and happen in the first week of the semester.

Recommended reading, Lecture notes

Lecture notes

Availability:  unavailable


Electronical lecture notes

Availability:  unavailable



Recommended literature
Ralf Laue et al. Prozessmanagement und Process Mining, De Gruyter Oldenbourg 2021
Wil van der Aalst. Process Mining: Data Science in Action. Springer 2016
Josep Carmona et al. Conformance Checking: Relating Processes and Models. Springer 2018
Marlon Dumas et al. Fundamentals of Business Process Management, 2nd edition. Springer 2018

Assigned Degree Programs

This module is used in the following Degree Programs (new System):

Studiengang / StuPOStuPOsVerwendungenErste VerwendungLetzte Verwendung
Computer Engineering (M. Sc.)14WiSe 2022/23SoSe 2023
Computer Science (Informatik) (M. Sc.)16WiSe 2022/23SoSe 2023
Elektrotechnik (M. Sc.)14WiSe 2022/23SoSe 2023
Information Systems Management (Wirtschaftsinformatik) (M. Sc.)14WiSe 2022/23SoSe 2023


No information