CS 707 Data and Web Science Seminar (FSS 2019)

The Data and Web Science seminar covers recent topics in data and web science. This term, the seminar focuses on Graph Mining and Learning from Graphs.

Organization

  • This seminar is organized by Kiril Gashteovski 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 mining / machine learning

Goals

In this seminar, you will

  • Read, understand, and explore scientific literature
  • Summarize a current research topic in a concise report (10 single-column pages + references)
  • Give two presentations about your topic (3 flash presentation, 15 final presentation)
  • Moderate a scientific discussion about the topic of one of your fellow students
  • Provide feedback to a report and to a presentation of a fellow student

Schedule

  • Register as described below
  • Attend the kickoff meeting on Feb 20 (tentative).
  • Work individually throughout the semester according to this schedule.
  • Meet your advisor for guidance and feedback.

Reistration

Register via Portal2 until February 11, 2019.

Explore the list of topics below and select at least 3 topics of your preference. You may also propose alternative topics relevant to the seminar.

If you are accepted into the seminar, provide your preferred topics February 17, 2019 via email to Kiril Gashteovski. The actual topic assignment takes place soon afterwards; we will notify you via email. Our goal is to assign to you to one of your preferred topics.

Topics

A tentative list of topics will be published mid January.