VU, 186.868, 2023W

Johanna Schmidt


The first lecture will take place on October 4th, 11:00.                 

All information about the lecture (Zoom links, slides, etc) can be found on TUWEL.                 
Please post all questions about the lecture in the TUWEL forum.


The VU Visual Data Science will discuss how data scientists can apply visualization and Visual Analytics techniques in the data science workflow. The lecture will start with a theoretical introduction to visualization and Visual Analytics concepts. The second part of the lecture will deal with the practical application of Visual Data Science, namely the integration of visualization in the data science workflow, selection of charts, and a comparison of current applications and libraries. The lecture concludes with the late-breaking research topics of trust in visual interpretation and how to combine AI methods and visualization.


Important information about the lectures:

  • All lectures are hybrid and will be recorded.
  • Hybrid lectures take place in HS 13 Ernst Melan in the main building of the TU Wien.
  • Lectures will be only 60min. The remaining 30min minutes will be dedicated to solving practical questions in TUWEL. This can be done either directly in the lecture room afterwards, or later on.
  • Lecture 3 (Oct 18th) and 4 (Oct 25th) will be presented as a pre-recorded video in TUWEL, since Johanna Schmidt attends a conference on these days.
L104.10.202311:00 - 12:00Hybrid Lecture
(HS 13 & Zoom)
Introduction &
Information Visualisation                 
Basics for the visual display of information
L211.10.202311:00 - 12:00Hybrid Lecture
(HS 13 & Zoom)
Human Perception                 
How humans perceive data visualisations
L318.10.2023available from 11:00 onPre-recorded videoData Science Workflow                 
How to structure the data science workflow
L425.10.2023available from 11:00 onPre-recorded videoApplications & Libraries I           
Charting Libraries
 01.11.2023no lexture (lecture-free day)
 08.11.2023no lexture
 15.11.2023no lexture (lecture-free day)
L522.11.202311:00 - 12:00Hybrid Lecture
(HS 13 & Zoom)
Applications & Libraries II       
L629.11.202311:00 - 12:00Hybrid Lecture
(HS 13 & Zoom)
Usage of Charts and Plots in Data Science                 
How to select the right chart based on the data?
L706.12.202311:00 - 12:00Hybrid Lecture
(HS 13 & Zoom)
Techniques for dealing with large amounts of data
L813.12.202311:00 - 12:00Hybrid Lecture
(HS 13 & Zoom)
BI Tools                 
How can BI Tools be used in data science?
L920.12.202311:00 - 12:00Hybrid Lecture
(HS 13 & Zoom)
Trust in Visualisation                 
How to correctly interpret what we see?
 27.12.2023no lecture (lecture free day)
 03.01.2024no lecture (lecture free day)
L1010.01.202411:00 - 12:00Hybrid Lecture
(HS 13 & Zoom)
AI in Visualisation                 
Visualisation for understanding AI & Using AI for better visualisations


Important Dates

Submissions are done via TUWEL.

Every data science workflow consists of five stages: Discover, Wrangle, Profile, Model, and Report. The submission dates reflect these stages. The first submissions (Discover) on Nov 17th is mandatory to be enrolled to the lecture. A submission of this lab part will also mean that a certificate for this lecture will be issued. For submitting practical exams, the following deadlines apply:

Date & Time Description
17.11.2023 23:59MANDATORYDiscover - submission of short report (at least 1 A4 page)
06.12.2023 23:59 V-LAT Test 1
20.12.2023 23:59 Wrangle & Profile - submission of report (at least 3-4 A4 pages)
10.01.2024 23:59 Model - submission of a report (at least 1-2 A4 pages)
17.01.2024 23:59 Report - submission of video (5min)
24.01.2024 23:59 V-LAT Test 2
18.01.2024 - 02.02.2024 Possibility for presentations



The following points can be achieved in the lecture:

Interactive lecture part (TUWEL)20 points
Discover10 points
Wrangle & Profile30 points
Wrangle & Profile - Data Quality Analysis10 points
Model10 points
Report30 points
Report - Brushing+Linking Interaction10 points
Report - Live presentation of the dashboard10 points
V-LAT Test 15 points
V-LAT Test 25 points
Both V-LAT Tests have been done10 points
 150 points

The points define the final grade:

Sehr Gut (1)> 85 points
Gut (2)> 75 points
Befriedigend (3)> 62 points
Genügend (4)> 50 points
Nicht Genügend (5)<= 50 points