The lecture part includes a theoretical introduction to visualization, visual analytics, and its application in different programming environments and applications. This includes, among other things, a presentation of current visualization solutions for different Data Science areas.
The exercise/lab part is based on the different stages of a data analysis pipeline (Discover, Wrangle, Profile, Model, and Report). Practical examples will be used to try out the application of visual tools in each step of the pipeline.
Lecture part: Lecture with slides (hybrid), solving tasks in TUWEL.
Exercise/lab part: programming examples, creating reports, presentation video
ECTS-Breakdown: 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
In total, 100 points can be achieved by combining the lecture and exercise parts of the course. The students themselves decide in which areas they would like to achieve how many points. In the end, the number of points determines the grade.