VU Visual Data Science
VU Visual Data Science WS 3.0 ECTS, 186.868
Thank you for your participation!
The VU Visual Data Science discusses how techniques from visualisation and visual analytics can be applied to data science.
The lecture part always starts with a theoretical introduction to visualisation and visual analytics.
Afterwards current visualisation solutions for data science are introduced, and current software libraries and applications will be discussed.
There is also a possibility to analyze your own data.
Lab results from the previous semester:
-- Lab Part 1 Results --
-- Lab Part 2 Results --
The grade of the lecture is defined by how many points participants earned during the lecture. There will be no final exam at the end.
Grades are defined as follows:
|Sehr Gut (1)
||> 85 points
||> 75 points
||> 62 points
||> 50 points
|Nicht Genügend (5)
||<= 50 points
Points can be earned based on the following scheme:
|Attendance of the lecture
||3 points / lecture
|Lab Part 1
|Lab Part 2
|Extra (bonus) task