This course deals with various aspects of modern information visualisation.

The topics are:

  • Data abstraction: types of data and of datasets
  • Which visualisation for which task?
  • Validating visualisations
  • Display and visual perception
  • Visualisation channels (colour, size, shape, angle,…)
  • Tabular data: lists, matrices, tensors
  • Spatial data: scalar, vector and tensor fields
  • Networks and trees
  • Link between machine learning and visualisation
  • Reducing items and attributes: clustering, feature selection, and dimensionality reduction
  • Interactive visualisation
  • Multiple views
  • Advanced topics in visualisation