Information Visualization

Notes

The slides and additional material (readings, practical works, etc.) are available at my InfoVis page.

22 sep.	Lecture: Introduction (1/n); readings: Graphs in Statistical Analysis & The Eyes Have It; viewing: Hans Rosling’s TED talks
29 sept.	Lecture: Introduction (2/n) — Visual perception; readings: Feature integration theory & Visual search
6 oct.	Lecture: Introduction (3/n) — Visual mapping; readings: InfoVis design space
13 oct.	Lecture: Introduction (4/n) — Visual mapping (cont.); readings: A Tour Through the Visualization Zoo pdf
20 oct.	Lecture: Interaction; readings: ScatterDice
3 nov.	Project: steps 0-1 walk-through (penguins.html); readings: Gapminder reimplementation with d3.js
10 nov.	Lecture: Interaction (cont.); readings: Dendrogramix, code
17 nov.	presentation of project dataset; readings: demo code
1 dec.	Lecture: Networks; readings: Construction of a Network, Jacques Bertin's Reorderable Matrices
8 dec.	Lecture: Networks (cont.); readings: Power Graph
15 dec.	Lecture: Networks (cont.); readings: Quantifying the Space-Efficiencyof 2D Graphical Representations of Trees
12 jan.	exam preparation
2 feb.	exam

Tour of the InfoVis zoo (sample mappings analysis)

3 nov.	warmup: complete D3.js practical works step #0 (0%) and step #1 (10%)	10%
1 dec.	questions (see project page)	10%
15 dec.	designs	40%
12 jan.	implementation	40%

last update: 17 dec.

The project will count for 34% of the final mark.

See the project page for the project description.

I may propose internships to students highly interested in information visualisation.

My current research interests are:

visualization for uneven distributions to understand inequalities
using animation in visualisation to understand reordering
leveraging high performance computing infrastructure to enable high throughput interactive visualisations

Those subject can be applied to datasets comming from geoscience.

Subject details will be discussed with prospective students, feel free to contact me.