Seminar Data-Science II

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

LecturerProf. Dr. Markus Strohmaier, Marlene Lutz
Course FormatSeminar
Credit Points6 ECTS
GradingWritten report (60%), oral presentations (2 x 15%), discussion (10%)
Examination dateSee schedule below
Information for Students

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

Marlene Lutz, M.Sc.

Marlene Lutz, M.Sc.

For further information please contact Marlene Lutz.

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.

  • 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.

  • Schedule

    The schedule below is preliminary, dates are subject to change.

    Registration period

    03.02.22 – 14.02.22 (11.59 pm) see “Registration”
    Notification of acceptance/rejection16.02.22 (noon) 
    Kick-off meeting


    10.15 am – 11.45 am

    assignment of seminar topics
    Drop-out until25.02.22 


    8.30 am – 6.15 pm

    midterm presentations


    8.30 am – 6.15 pm

    endterm presentations
    Submission deadline27.05.22 
  • Registration

    Please send an e-mail to marlene.lutz with the subject “Registration for Seminar Data-Science II”. The e-mail must include your

    • name
    • student ID
    • course of study
    • transcript of records

    Registration ends on Monday, 14.02.22 at 11.59 pm. You will be notified by Wednesday, 16.02.22 whether your application for the seminar has been accepted or rejected.