[ 921DASIDASS17 ] SE Seminar in Data Science

Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS M2 - Master's programme 2. year Computer Science Gerhard Widmer 2 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Computer Science 2022W
Objectives Seminars guide students to do scientific work. In particular, they learn

  • to work independently on a scientific topic in Data Science
  • to do literature research
  • to write a seminar report according to scientific standards
  • to give a presentation and to defend it
  • to discuss the presentations of other participants
Subject Topics depend on the subtitle of the seminar. Students have to select a subtopic of the seminar and work on it independently. They have to do literature research, write a seminar report and give a presentation.
Criteria for evaluation Seminars are marked by assessing the seminar report, the presentation, and the participation in discussions.
Methods Independent literature research; submission of a written seminar report; presentation of the chosen seminar topic in a talk to other students.
Language English
Study material Basic literature is provided by the seminar instructor, but students should also do independent literature research.
Changing subject? Yes
Further information None
On-site course
Maximum number of participants 15
Assignment procedure Direct assignment