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.
6 oct.
13 oct.
20 oct.
3 nov.
10 nov.
17 nov.
1 dec.
8 dec.
15 dec.
12 jan.	exam preparation

Tour of the InfoVis zoo (sample mappings analysis)

...

tba nov.	warmup: complete D3.js practical works step #0 (0%) and step #1 (10%)	10%
tba nov.	questions (see project page)	10%
ta dec.	designs	40%
tba dec.	form groups
tba jan.	implementation	40%

last update:

last name

first name

group

warmup

questions

designs

implem.

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.