186.868 Visual Data Science
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2020W, VU, 2.0h, 3.0EC
TUWELQuinn ECTS survey


  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise
  • Format: Distance Learning

Learning outcomes

After successful completion of the course, students are able to

  • employ techniques from visualisation and visual analytics for the exploratory data analysis,
  • employ techniques from visualisation and visual analytics for data presentation,
  • employ strategies from human-computer-interaction (HCI) and perception to improve visualizations, and
  • understand the differences between current software libraries and applications for data science.

There is also a possibility to analyze your own data.

Subject of course

  • The lecture part will start with a theoretical introduction to visualisation, visual analytics and human-computer interaction (HCI).
  • Afterwards practical applications of visualization in data science will be discussed.
  • The lecture also contains a review on the differences between current software applications for data science.
  • In the lab part students will get to know the differences between statistical and visual data analysis.
  • Students will also directly compare different applications, and create a dashboard for the presentation of data analysis results.

Teaching methods

Lecture with slides, programming examples, and live demos.

Mode of examination


Additional information

Further information can be found at the lecture webpage (https://www.cg.tuwien.ac.at/courses/VisDataScience/).

3 ECTS = 75 working hours, of which
  55 working hours (73%) are meant for the lab part, and
  20 working hours (27%) are meant for the lecture part



Course dates

Wed11:00 - 12:0007.10.2020 Zoom Meeting (LIVE)Lecture information
Wed11:00 - 13:0021.10.2020 Zoom Meeting (LIVE)Lecture 02
Wed11:00 - 13:0028.10.2020 Zoom Meeting (LIVE)Lecture 03
Wed11:30 - 13:0004.11.2020 Zoom Meeting (LIVE)Lecture 04
Wed11:00 - 13:0011.11.2020 Zoom Meeting (LIVE)Lecture 05
Wed11:00 - 13:0018.11.2020 Zoom Meeting (LIVE)Lecture 06
Wed11:00 - 13:0025.11.2020 Zoom Meeting (LIVE)Lecture 07
Wed11:00 - 13:0009.12.2020 Zoom Meeting (LIVE)Lecture 09
Wed11:00 - 13:0016.12.2020 Zoom Meeting (LIVE)Lecture 10

Examination modalities

The contents taught in the lecture should be directly applied in practical exercise projects.

Course registration

Begin End Deregistration end
01.09.2020 00:00 30.11.2020 23:59 30.11.2020 23:59

Registration modalities

Registration can be done via TISS or TUWEL.



No lecture notes are available.

Previous knowledge

  • Data Science basics
  • Programming skills
  • Preferrable knowledge about visualisation

Preceding courses

Accompanying courses

Continuative courses