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Department of Informatics Interactive Visual Data Analysis Group

Seminar: Interactive Visual Data Analysis (BSc, MSc)

Lecturer Prof. Dr. Jürgen Bernard
Teaching Language English
Level BSc, MSc
Academic Semester Spring 2023
Time and Location

Kickoff: Monday 20.02.2023: 12:15-13:45 Uhr, BIN-2.A.01

Presentations1: Thursday 11.05.2023 16:00-18:00 Uhr, AND-2-04

Presentations2: Friday 12.05.2023 09:00-17:00 Uhr, BIN-2.A.10

Course Material

Research Papers

Link to VV BSc, MSc
Link to OLAT BSc, MSc
Office Hours Prof. Dr. Jürgen Bernard: email for appointments, BIN 2.A.24


Course Description

Topic Focus:

Interactive visual data analysis focuses on the combination of the strengths of humans and computers to address complex data analysis challenges. Solutions typically include interactive visual interfaces, enabling users to participate actively in the data science and machine learning process (human-in-the-loop). Course Mechanics: In groups, students will study a seminar topic of interest, compile a structured list of references, prepare a compelling fact sheet about the topic, and present the topic in class. In parallel, students will receive mentoring by the supervisor, give constructive feedback on other student's work, and participate actively in the presentation rounds.

Learning Goal:

At the end of the course, students:

  • have gained a deeper and broader understanding and knowledge of interactive visual data analysis as a whole
  • will be able to identify and discuss research problems as well as identify relevant related work
  • will be able to write a fact sheet about a specific topic in data analysis research, present the topic to a student audience, and discuss ideas on the topic.
  • will have learned to accept and give feedback on students’ seminar contributions


  • Fact sheet and reference list (35%)
  • Quality of feedback on other students' fact sheets (15%)
  • Presentation slides (15%)
  • Presentation of the topic (15%)
  • Discussion, Q+A (20%)