186.143 Information Visualization
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2022S, UE, 1.0h, 1.5EC


  • Semester hours: 1.0
  • Credits: 1.5
  • Type: UE Exercise
  • Format: Online

Learning outcomes

After successful completion of the course, students are able to understand a general practical overview of the different areas of information visualization, in particular in combination with data science methods, and apply it in implementation exercises.

Subject of course

In the course of this excercise, students will get to know different wide-spread and powerful visualization tools (e.g., d3) and useful data analysis tools (e.g., pandasscikit-learn). Students will perform three smaller exercises with given data sets: 

  • Exploratory visual data analysis using Python notebooks (Jupyter or Colab)
  • Interactive coordinated views using d3, where a scaffold will be provided
  • A free visual analysis of a data of choice using an environment of choice (e.g., Python notebook, R Shiny Dashboard, interactive webpage using d3) in a group of  two. 

The exercises will be supported by multiple open labs and a TUWEL forum. Attendance of the accompanying lecture is recommended. 

The TUWEL course provides an overview of useful tools and libraries. 

See also the hall of fame 2020 and 2019



Teaching methods

  • Solving programming tasks
  • Presenting visual results of a data analysis task

Mode of examination


Additional information

ECTS Breakdown: 1,5 ECTS = 37,5 Stunden

  • Programmieraufgabe: 30 Stunden
  • Präsentation der Ergebnisse: 7,5 Stunden

Dates, links to open labs, instructions and submission links, as well as discussion forums can be found on TUWEL. 



Course dates

Wed15:15 - 16:4502.03.2022EI 8 Pötzl HS - QUER (LIVE)Introduction to Information Visualization Lecture and Lab (together with 186.141)

Examination modalities

Presentation and submission talk via Zoom (requires audio- and video connection via Zoom).

Course registration

Begin End Deregistration end
09.02.2022 00:00 30.03.2022 23:59 30.03.2022 23:59


Study CodeObligationSemesterPrecon.Info
066 645 Data Science Not specified
066 926 Business Informatics Mandatory elective
066 932 Visual Computing Mandatory elective
066 933 Information & Knowledge Management Mandatory elective


No lecture notes are available.

Previous knowledge

computer graphics knowledge advantageous

Accompanying courses