Visual Data Science

VDS teaser
VU, 186.868, 2020W

Johanna Schmidt

Quicklinks

News

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

Content

The VU Visual Data Science will discuss how techniques from visualisation and visual analytics can be applied to data science. The lecture will start with a theoretical introduction to different concepts of visualisation and visual analytics (lecture 1-5). The second part of the lecture (lecture 6-10) will deal with the practical application of Visual Data Science, namely the selection of charts, trust in visualisations, and applications and libraries. An important part of this VU will be the lab part, where students will have to try out different visualisation techniques and applications to achieve certain tasks.

Lecture and other Dates

Lecture Dates:

# Date Time Type Title
  07.10.2020 11:00 c.t. - 12:00 Online Meeting Introductory lecture / "Vorbesprechung"
General information on the lecture and the lab, Q&A
1 14.10.2020 11:00 c.t. - 13:00 Pre-recorded Video Introduction to Data Visualisation
What is visualisation and visual analytics?
2 21.10.2020 11:00 c.t. - 13:00 Online Meeting Advanced Visualisation Techniques
Multivariate data, graphs & networks, spatial data
3 28.10.2020 11:00 c.t. - 13:00 Online Meeting Introduction to Human-Computer-Interaction
Human perception and interaction concepts
4 04.11.2020 11:00 c.t. - 13:00 Online Meeting Introduction to Visual Data Science
Terms and concepts, data types, interdisciplinary approaches
5 11.11.2020 11:00 c.t. - 13:00 Online Meeting Usage of Charts and Plots in Data Science
How to select the right chart based on the data?
6 18.11.2020 11:00 c.t. - 13:00 Online Meeting AI in Visualisation
Visualisation for understanding AI & Using AI for better visualisations
7 25.11.2020 11:00 c.t. - 13:00 Online Meeting Trust in Visualisation
How to correctly interpret what we see?
8 02.12.2020 11:00 c.t. - 13:00 Online Meeting Visual Data Science in Practice
Overview of current data science projects in industry
9 09.12.2020 11:00 c.t. - 13:00 Online Meeting Applications & Libraries, Part 1
Charting libraries
10 16.12.2020 11:00 c.t. - 13:00 Online Meeting Applications & Libraries, Part 2
Applications

Other Dates:

Date Time Type Content
18.11.2020 23:59 Deadline Report (Lab Part 1)
15.01.2021 23:59 Deadline Report (Lab Part 2)
18.01.2021 - 29.01.2021 Presentations (block-wise)
18.01.2021 - 12.02.2021 Exam questions (online)

Lab

The lab part of the VU consists of two parts. Lab organisation and submissions are done via TUWEL.

Part 1

In the first part students will study the relations between statistical analysis and visual data analysis. A multivariate dataset is provided, and three tasks have to be solved, using statistical methods and visual analysis. A written report has to be submitted until November 18th, 2020.

Part 2

In this second lab part students will analyse a dataset and create a dashboard for data analysis and presentation. A written report has to be submitted until January 15th, 2021. Between January 18th, 2021 and January 29th, 2021 students will present their solutions in online sessions (dates will be announced).

Exam questions

Between January 18th, 2021 and February 12th, 2021 exam questions about the theoretical content of the lecture will have to be answered in TUWEL.

Grading

The following points can be achieved in the lecture:

Lab part 1 (report) 20 points
Lab part 2 (report) 30 points
Lab part 2 (presentation) 30 points
Exam questions 20 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