Mapping to Focus Areas
Below, you find the module's mapping to the study program's focus areas. This is done as a contribution to all relevant focus areas (in ECTS, and content-wise). This is also relevant for setting the module in relation to other modules, and tells to what extent the module might be part of other study programs.
||Module Contribution to Focus Area
|Generating and Accessing Knowledge
In this module, fundamental data visualization concepts as well as concrete skills to represent large data sets are taught.
In this class fundamental visualization concepts as well as concrete
skills to represent large data sets are taught.
Participants will gain an basic understanding of the physiology of perception and learn to
effectively encode information in figures. Futhermore, they will be
introduced to widely used Python plotting libraries to create figures
based on openly available data sets.
After visiting this class students are able to interprete as well as design figures and are
capable to visualize large data sets.
- Basics of data visualisation
- Physiology of perception
- The grammar of graphics
- Python based visualisation (matplotlib, seaborn, bokeh)
Forms of Teaching and Learning
The class will follow a flipped classroom approach and involve
self-studying based on provided reading, audio and video
material. Excersises in which small solution are implemented will help
the participants to explore available tools and help to gain practical
skills for data visualization.
Learning Material Provided by Lecturer
- lecture slides and videos