Wichtiger Hinweis: Aufgrund der aktuellen Einschränkungen durch COVID-19 ist zum aktuellen Zeitpunkt nicht absehbar, ob der Präsenzbetrieb wie gewohnt stattfinden kann. Bitte schauen Sie regelmäßig nach Ankündigungen zum Vorlesungs-/Übungsbetrieb sowohl auf der Uni-Seite (https://www.uni-due.de/de/covid-19/) als auch hier im Moodle-Kurs und insbesondere im Ankündigungs-Forum. 


Allgemeines

Target Group:

  • Komedia Master
  • ISE/CE-ISV M.Sc.
  • Master AI (Information Engineering (M-IA-IE) & Interaktive und Kooperative Systeme (M-IA-IK)):

Instructors:

  • Dr. Tobias Hecking (tobias.hecking@dlr.de) (Lehrauftrag)
  • Prof. Dr. H.U. Hoppe (hoppe@collide.info)

Language:

Seminar talks will be given in English. Seminar papers and communication with the supervisors can be either in English or in German.

Course description

Data analytics is a current trend in research but also in industrial practice. The increased availability and size of pubilc datasets but also the development of tools have lead to new opportunities in information science. Especially knowledge creating communities such as Wiki authors, online course participants, or scientists can benefit from knowledge gathered from the data they produce in order to make more informed decisions.

As a follow up activity of the "Electronic Communities" lecture participants develop further skills in analytics by working on current topics in social network analysis, content analysis, and process related analysis as well as mixed methods.

The seminar will be a block seminar with three meetings during the semester. After the kick-off meeting in April there will be two further meetings in which the participants are supposed to present their progress on individual seminar topics. The particular dates of these meetings will be decided in the first meeting.

Kick-off meeting 22 April 10:00 s.t. (online meeting at https://conf.dfn.de/webapp/conference/979133645)