188.305 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.

2023W, VO, 2.0h, 3.0EC


  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VO Lecture
  • Format: Hybrid

Learning outcomes

After successful completion of the course, students are able to...

  • apply concepts in the field of visualization and cognition
  • critically evaluate visualization concepts
  • critically evaluate the quality of visual representations, interaction techniques, analytical methods and their interplay
  • apply cognitive basics and other visualization basics to information visualization design
  • select visualization methods suitable for different data types
  • design information visualizations with the "human-centered design" method
  • apply quantitative and qualitative evaluation methods to assess the quality of information visualizations

Subject of course

Information visualization is "the use of computer-supported, interactive, visual representations of abstract data to amplify cognition". Students should be able to explain and apply the concepts and techniques of information visualization. A short general introduction to visualization is followed by a discussion on knowledge crystallization and the information visualization reference model. Afterwards, appropriate visualization methods for different data types and important interaction methods such as focus+context or linking-brushing will be discussed. Furthermore, suitable measures for quality assurance and evaluation of information visualizations will be taught.

Teaching methods

The content of the lecture will be provided via TUWEL in form of video links, slides, papers and other reading material. This material will be available one week before the discussion session. In this discussion sessions, we will focus on specific important aspects about the topic. Some questions to check if students understood the concepts are possible, as well as small practical exercises within a lecture. TUWEL online exam at the end of the semster.

  • Lectures about concepts, methods, and techniques
  • Providing references to primary and advanced literature
  • Discussion of advantages and disadvantages of concepts, techniques, and scientific literature
  • Connecting with examples of applications
  • According to given problems, suitable problem analysis methodologies in the field of information visualization are discussed.
  • Different data types and their different characteristics will be discussed and how effective information visualizations have to look like which are suitable to support the analysis of such data.
  • Suitable measures for quality assurance and evaluation of information visualizations are explained.

Mode of examination


Additional information

ECTS Breakdown (3 ECTS = 75 hours)

Hours Purpose
20,0 Lecture time
28,0 Readings
25,0 Preparation time for exam
2,0 Exam



Course dates

Mon11:00 - 13:0002.10.2023 - 22.01.2024EI 5 Hochenegg HS Lecture
Mon11:00 - 13:0002.10.2023EI 5 Hochenegg HS Presentation of the Lecture
Information Visualization - Single appointments
Mon02.10.202311:00 - 13:00EI 5 Hochenegg HS Lecture
Mon02.10.202311:00 - 13:00EI 5 Hochenegg HS Presentation of the Lecture
Mon09.10.202311:00 - 13:00EI 5 Hochenegg HS Lecture
Mon16.10.202311:00 - 13:00EI 5 Hochenegg HS Lecture
Mon23.10.202311:00 - 13:00EI 5 Hochenegg HS Lecture
Mon30.10.202311:00 - 13:00EI 5 Hochenegg HS Lecture
Mon06.11.202311:00 - 13:00EI 5 Hochenegg HS Lecture
Mon13.11.202311:00 - 13:00EI 5 Hochenegg HS Lecture
Mon20.11.202311:00 - 13:00EI 5 Hochenegg HS Lecture
Mon27.11.202311:00 - 13:00EI 5 Hochenegg HS Lecture
Mon04.12.202311:00 - 13:00EI 5 Hochenegg HS Lecture
Mon11.12.202311:00 - 13:00EI 5 Hochenegg HS Lecture
Mon18.12.202311:00 - 13:00EI 5 Hochenegg HS Lecture
Mon08.01.202411:00 - 13:00EI 5 Hochenegg HS Lecture
Mon15.01.202411:00 - 13:00EI 5 Hochenegg HS Lecture
Mon22.01.202411:00 - 13:00EI 5 Hochenegg HS Lecture

Examination modalities

In a online multiple choice test at the end of the semester, students must

  • be able to distinguish true and false statements about the learned concepts
  • identify suitable visualization methods for given problems


DayTimeDateRoomMode of examinationApplication timeApplication modeExam
Mon - 11.03.2024written19.02.2024 06:00 - 10.03.2024 23:59TISS2nd online exam (TUWEL Test)
Mon - 22.04.2024written01.04.2024 06:00 - 21.04.2024 23:59TISS3rd online exam (TUWEL Test)
Mon - 10.06.2024written20.05.2024 06:00 - 09.06.2024 23:59TISS4th online exam (TUWEL Test)

Course registration

Begin End Deregistration end
12.09.2023 12:00 04.07.2024 23:59 04.07.2024 23:59

Registration modalities

Registration for this course is necessary in TISS. 

Registration and deregistration are possible until the "Nachfrist" of the winter term 2023. 


Study CodeObligationSemesterPrecon.Info
066 645 Data Science Mandatory2. Semester
066 926 Business Informatics Mandatory elective
066 932 Visual Computing Mandatory elective
066 933 Information & Knowledge Management Mandatory
066 935 Media and Human-Centered Computing Mandatory1. Semester



Previous knowledge

+ Information Design and Visualization

Preceding courses

Accompanying courses

Continuative courses


if required in English