Data and Web Science Seminar (HWS 2018)

The Data and Web Science seminar covers recent topics in data and web science. This term, the seminar focuses on Generative Neural Networks.


  • This seminar is organized by Yanjie Wang, Prof. Dr. Margret Keuper and Prof. Dr. Rainer Gemulla
  • Available for Master students (2 SWS, 4 ECTS. If you are a Bachelor student and want to take this seminar (2 SWS, 5 ECTS), please contact Prof. Gemulla.
  • Prerequisites: solid background in data analytics and machine learning; courses like Data Mining and Matrices / Hot Topics in Machine Learning / High Level Computer Vision are recommended


In this seminar, you will

  • read recent papers on generative models
  • understand the paper assigned to you
  • give a flash presentation about this paper
  • give a technical presentation about this paper
  • summarize the paper, its background, and related work in a 8–10 pages report 


  • Register as described below.
  • Attend the kickoff meeting on Sep 07 (tentative).
  • Work individually throughout the semester: explore relevant literature;  write a report; give a 3-minute flash presentation on your topic; give a 15-minute presentation on your topic.
  • Meet your advisor for guidance and feedback.
  • For more information, have a look at the schedule.

Giving talks / writing reports

  • “Giving conference talks”, by Prof. Dr. Rainer Gemulla [pdf]
  • “Writing for Computer Science” by Justin Zobel