VU Visual Data Science
VU Visual Data Science WS 3.0 ECTS, 186.868
Johanna Schmidt
News
Thank you for your participation!
Content
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
Lab results from the previous semester:
Part 1
 Lab Part 1 Results 
Part 2
 Lab Part 2 Results 
Grading
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 
Gut (2) 
> 75 points 
Befriedigend (3) 
> 62 points 
Genügend (4) 
> 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 
30 points 
Lab Part 2 
50 points 
Extra (bonus) task 
10 points 
