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Introduction: this first course presents the fields, and roughly follows Ward et al.'s first chapter.
Perception: visualization is about perceiving features and structures in images.
Data: data processing occurs ahead of visualization but nevertheless remains an important aspect, and preliminary phase, to the visualization process.
Graph basics: we shall be concerned with networks – a lot. This course makes sure everyone gets familiar with basic graph theory.
Visual Analytics with Tulip: Tulip is the framework we shall be using. This course also makes sure everyone is familiar with python programming.
See here for a list of definitions and notations used throughout these pages.