LFU:online

Optimisation of scientific data visualizations for publications, presentations and posters.

Introduction to graphical concepts for data visualizations

Criteria for optimizing scientific data visualizations

Colors and color scales

Multidimensional data and time series

Concept of ‘small multiples’

Miscellaneous examples (statistical uncertainty, correlations, distributions)

Python and corresponding libraries (Matplotlib, Seaborn)

Illustration Software (Inkscape)

Presentation of a visualization project

William Cleveland: The elements of graphing data

William Cleveland: Visualizing data

Edward Tufte: The visual display of quantitative information

BSc.

Basics in Python programming

The exact dates will be announced in the first lecture.