TK1: Distributed Systems and Algorithms

Seminar – Topic “Process Mining”

Course Description

The TK Seminar is a cycle of seminars where students are given the chance to read and analyze current scientific publications. In this term, the theme of the TK Seminar is Process Mining.

The goals of the TK seminar are threefold:

  • Introduce students to a research area,
  • Critically read and analyze scientific papers, and
  • Present a field or scientific area in both written and spoken forms.

The TK Seminar is targeted at computer science students (or related areas, such as electrical engineering) that are working towards their Diploma, Master's or Bachelor's Degrees.

In the TK seminar, students are expected to write a survey on a current research topic and present their findings. Course participants will select one topic of interest and write a short survey. Furthermore, course participants will learn how to review scientific reports and test their skills by evaluating the surveys of other colleagues. Finally, participants will have the change to present their work to their colleagues and instructors.

The goal of this course is not only to introduce student to a new research topic, but also to prepare them for giving scientific talks and addressing an audience. An introduction to the academic work on how to write, publish, and present your finding will be given at the beginning of the course.

In this semester, the theme of the TK seminar will be Process Mining. Process Mining is a family of techniques combining data science and business process management to support the analysis of (business) processes solely based on event logs, typically recorded by enterprise information systems. These event logs contain events about what people, machines, and organizations are really doing. By using data mining, machine learning, and other related data analysis techniques, novel insights can be obtained to address performance and compliance problems of processes.

In process mining there exist mainly three categories of analysis:

  • (1) process discovery, which deals with the reconstruction of a process model from an event log,
  • (2) conformance checking, which checks if the reality conforms to the desired way of executing the process, and
  • (3) enhancement, which enriches process models with additional information.

All three analysis categories support an analyst finding issues in a process using data-centric techniques.

The TK seminar will give a short introduction into the topic and will make you familiar with the basic terminology and techniques. In-depth knowledge of a specific topic (based on the chosen subtopic for the survey) is expected to be acquired through independent study. We will provide introductory literature.

Course Materials (Moodle)

The seminar is currently planned as an entirely digital event. We will use Moodle to administrate the course.

You'll find the Moodle course under the following URL: Moodle-Course Link

Teaching staff

Name Office E-mail
Dr. Timo NolleS2|02 A112
Dr.-Ing. Alexander SeeligerS2|02 A112