Photo credit: Anna Logue

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.

Organization

  • 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

Goals

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 

Schedule

  • 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