Contents

Content Description:
Computer-based visualization systems provide visual representations of datasets intended to help people carry out some task more effectively. These datasets can come from very diverse sources, such as scientific experiments, simulations, medical scanners, commercial databases, financial transactions, health records, social networks and the like. In this course we deal with effective visual mappings as well as interaction principles for various data, understand perceptual and cognitive aspects of visual representations and learn how to evaluate visualization systems.

Topics covered will include (but are not limited to):
  • Introduction and historical remarks
  • Visual design principles and the visualization pipeline
  • Design studies
  • Data acquisition and representation
  • Basic visual mapping concepts (marks + channels)
  • Human visual perception + Color
  • Visual mappings for tables and multi/high-dimensional data
  • Visual mappings for networks, graphs and trees
  • Visual mappings and algorithms for 2D+3D scalar, vector, and tensor fields
  • Principles of multiple coordinated views
  • Data interaction principles including Brushing+Linking, Navigation+Zoom , Focus+Context
  • Principles of Evaluation of visual analysis systems
  • some selected advanced topics