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Information Visualization

Notes

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

Schedule

25 sep.Lecture: Introduction (1/n); readings: Graphs in Statistical Analysis & The Eyes Have It; viewing: Hans Rosling’s TED talks
2 oct.Lecture: Introduction (2/n) — Visual perception; readings: Feature integration theory & Visual search
9 oct.Lecture: Introduction (3/n) — Visual mapping; readings: InfoVis design space
16 oct.Lecture: Introduction (4/n) — Visual mapping (cont.); readings: A Tour Through the Visualization Zoo pdf
23 oct.Lecture: InfoVis Zoo
6 nov.Project: steps 0-1 walk-through (cars.html); readings: Gapminder reimplementation with d3.js 
13 nov.Lecture: Interaction; readings: ScatterDice
20 nov.Lecture: Interaction (cont.); readings: Dendrogramix, code
27 nov.Lecture: Networks; readings: Construction of a Network, Jacques Bertin's Reorderable Matrices
4 dec.Lecture: Networks (cont.); readings: Power Graph
11 dec.no lecture
18 dec.Lecture: Networks (cont.); readings: Power Graph, Quantifying the Space-Efficiencyof 2D Graphical Representations of Trees
TBAproject defenses

Video index

Visual mapping
Tour of the InfoVis zoo (sample mappings analysis)
more mapping analysis from previous exams
and more
Composite visual mappings
Interaction
Interaction (cont.)
Interaction: Dendrogramix walkthrough
Networks: graphs
Networks: graphs/node-link diagram
Networks: graphs/adjacency matrix
...

Assignements

6 nov.warmup: complete D3.js practical works step #0 (0%) and step #1 (10%)10%
27 nov.questions (see project page)10%
4 dec.designs40%
11 dec.form groups 
jan.implementation40%

Tracker

last update: nov. 27

last namefirst namegroupwarmupquestionsdesignsimplem.
ForostianyiBohdan okok (2018-openfoodfacts)  
JehnLaura okok (2018-openfoodfacts)  
ZianeHicham okok (2016-bbc-top100)  
AndréPaul okok (2020-carbon)  
OmariOussama okok (2019-wid)  
El MamouniSaad okok (2019-wid)  
GlobischAdam okok (2022-gge)  
StelzerLars okok (2019-wid)  
LompSarah okok (2019-wid)  
LiXuan vok (2019-wid)  
EngelsLoïc vok (2020-carbon)  
FiorentinoCharline vok (2020-carbon)  
SciasciaMatteo vok (2019-wid)  
DemeyereHugo vok (2019-wid)  
HollerIsabel vok (2018-openfoodfacts)  
KomtcheuArmand vok (2020-carbon)  
VillaStella vok (2019-wid)  

Project

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

See the project page for the project description.

Internships

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

My current research interests are:

  • using animation in visualisation to understand reordering
  • understanding how to use the visual variables 'depth' and 'size' together without too much interference
  • visualizaiton for uneven distributions to understand inequalities
  • 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.

Past exams

2015 exam 2016 exam 2017 exam 2018 exam 2019 exam 2020 exam 2021 exam 2022 exam

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Page last modified on December 04, 2023, at 02:15 PM