Information Visualisation

Role: co-titularis

This course examines visualization principles and techniques that facilitate improved understanding and analysis of data. Students develop critical perspectives on existing visualizations while learning to design and implement visualizations for complex datasets.

The curriculum spans multiple visualization approaches: from static “flatland” visualizations representable on paper through interactive visualizations of multidimensional data. Key topics include design principles, graphical excellence concepts, perception theory, color theory, graph visualization, focus + context techniques, and interaction methods for complex data.

---

«  Linux Operating Systems (Archived 2006) | Information Visualisation »