Theme: Applied AI and Interactive Systems
Information Visualisation
(3 ECTS - 18h)
Interactive Information Visualization (InfoVis) is the study of interactive graphical representations of abstract data (e.g. graphs linking people in social networks, series of stock options values evolving over time). Graphical representations are a powerful way to leverage the human perceptual capabilities to allow the user to explore and make sense of abstract data, and also to expose findings and convey ideas.
But to be efficient, a visualization has to be designed using knowledge about the human visual perception, the characteristics of the data, the kind of task that will be performed on those data. The aim of this course is to provide the keys, both theoretical and practical, to build usable and useful interactive visualizations.
The course is the same as the one proposed in the AI Master: https://m-ai.imag.fr/syllabus/applis/information-visualization/
Prerequisites
Basic knowledge of linear algebra, graph theory, computer graphics, code complexity, programming.
Contents
- foundations: human visual perception, graphical variables, data types, the visualization pipeline.
- linked data: tree and graph visualization
- tabular data: time series and spatial data visualization
- dealing with large data: aggregation, multiple views, interaction
- validating visualization: visualization tasks, evaluation
Evaluation
Session 1: Project (1/3), Written exam (2/3)
Session 2: Exam