CS 704 Artificial Intelligence Seminar (HWS 2016: Process Mining)

This term, the seminar focuses on Process Mining which covers the discovery, conformance, and enhancement of business processes. We will impart you the basics of Process Mining, i.e., models, techniques and algorithms.



In this seminar, you will
  • Read, understand, and explore scientific literature
  • Summarize a current research topic in a concise report (10-15 pages)
  • Give a presentation about your topic (before the submission of the report)
  • Moderate a scientific discussion about a topic of one of your fellow students
  • Provide feedback to a report and a presentation of a fellow student (verbal)


  • The report has to be written with Latex (Beginners are welcome)
  • No programming skills are required but they might be helpful
  • Lectures such as Process Management (Master) and Algorithms and Data Structure (Bachelor) are recommended.
  • Report and presentation have to be in English


  • Select your preferred topics and register - registration is closed
  • Attend the kickoff meeting (Wednesday, September 21th 13:45 - B6, room A2.07)
  • You will be assigned a tutor, who provides guidance and one-to-one meetings
  • Work individually throughout the semester: explore literature, create a presentation, and write a report
  • Give your presentation and moderate a presentation of a fellow student in a block seminar at the end of the semester
  • Kick-off meeting slides: Download

Getting started

If you are not familiar with this topic/area, we highly recommand the following literature to get an idea and overview.

Registration (closed)

Explore the list of topics below and select at least 3 topics of your preference. Send a ranked list of your selected topics via email to timo(at)informatik.uni-mannheim.de until Sep 11, 2016. We will confirm your registration immediately. The actual topic assignment takes place at the kickoff meeting; our goal is, of course, to assign to you one of your preferred topics.


The papers and articles listed below serve as an entry point to a topic; you are expected to explore related relevant literature on your own.


Students are free to suggest topics of their choice.