Seminar Data-Science II (Empirical Studies)

IS 723 for Master students (M.Sc. MMM, M.Sc. WiPäd, MMDS)

LecturerProf. Dr. Markus Strohmaier, Tobias Schumacher
Course FormatSeminar
Credit Points6 ECTS
GradingWritten report (60%), oral presentations (40%)
Examination dateSee schedule below
Information for Students

The course is limited to 15 participants. The registration process is explained below.

Tobias Schumacher, M.Sc.

Tobias Schumacher, M.Sc.

For further information please contact Tobias Schumacher.

Course Information

  • Course Description

    The achievement of the learning goals is pursued by practicing on the basis of personally assigned in-depth scientific topics as well as by actively participating in the presentation dates. The organizer will choose subject areas within the field of Data-Science and provide scientific papers to students to work through.

    Previous participation in the courses offered by our chair are recommended.

  • Objectives

    On the basis of suitable literature, in particular original scientific articles, students independently familiarize themselves with a topic in data-science, classify and narrow down the topic appropriately and develop a critical evaluation. Students work out concepts, procedures and results of a given topic clearly and with appropriate formalisms in a timely manner and to a defined extent in depth in writing; Evidence of independent development by presenting self-selected examples. Descriptive oral presentation of an in-depth data science topic using suitable media and examples in a given format.

  • Topics

    Mis­information and Polarization in Social Media 

    Social Media inevitably have a strong impact on societies in a globalized world. Aside from many benefits gained by social networks, there are also many challenges that come with the algorithmic nature of these platforms. Such challenges include the emergence and spreading of mis­information, and the polarization of their users. 

    In this seminar, we will discuss recent research studies that employ state-of-the-art data mining and knowledge discovery techniques to empirically analyze these two issues.  

    When applying for this seminar, please indicate which of these two broad topics you are more interested in. The exact research articles that are to be worked on will be determined once we have an overview over the number of participants and their rough preferences. 

  • Schedule

    Registration period

    15.08.22 – 05.09.22 (11.59 PM) see „Registration“
    Notification of acceptance/rejection07.09.22  
    Kick-off meeting

    12.09.22 (12:00 PM – 1:30 PM)
    @ B 112 Laborraum (L 15, 14–17 (Anbau))   

    assignment of seminar topics
    Drop-out until08.09.22  

    28.10.22 (8.30 AM – 6.15 PM)

    midterm presentations

    02.12.22 (8.30 AM – 6.15 PM)

    endterm presentations
    Submission deadlineto be announced 
  • Registration

    If you are interested in this seminar, please apply to Tobias Schumacher via email. 

    Please start the Subject Line with “[SemDSI]”, and provide some details about your background, e.g., whether you have taken some relevant classes before (cf. course description) and your motivation to take this seminar. Also, make sure to indicate which of the two given topics – mis­information and polarization – you are more interested in.