Introduction to Basic Principles of Data Visualization - Graphs

Through a series of exercises and lectures, the students will learn how to visualise and plot data with graphing tools of various complexity. The aim is to learn how to create publication-ready graphics and potentially interactive visualizations.

Creating publication-ready graphs from data. Designing data-appropriate visualisations, with appropriate concern for the audience. Creating more advanced digital graphs and data displays using modern electronic media (Jupyterlab/Matplotlib/Web Tools)

mündliche Prüfung

Given by the teachers during the lectures.

Supportive digital teaching material available
The course will make intensive use of the Jupyterjub platform at the Uni Bremen.

1st SWS: Background and Theory Graphs and Visualisation
2nd SWS: Basic elements of 2D graphs
3rd SWS: Static 2D graphs and plots (cont)
4th SWS: Advanced 2D graphs and plots
5th SWS: Basic interactive graphs and plots
6th SWS: Basic interactive graphs and plots 2
7th SWS: Vector vs Raster graphics
8th SWS: Animations + Keypaths
9th SWS: Using advance Webgraphics (typescript, javascript, d3 library)
10th SWS: Coursework: Design your own Visualisation with guidance.
11th SWS: Coursework: Design your own Visualisation with guidance.
12th SWS: Coursework: Design your own Visualisation with guidance.
13th SWS: Coursework: Design your own Visualisation with guidance.
14th SWS: Recap / Exam

Programmierung mit Python, Kartenerstellung mit GMT