Aller au menu Aller au contenu
Une voie, plusieurs choix
Informatique et Mathématiques appliquées
Une voie, plusieurs choix

> Formation > Cursus ingénieur

Information Visualisation - WMMBEVI5

A+Augmenter la taille du texteA-Réduire la taille du texteImprimer le documentEnvoyer cette page par mail cet article Facebook Twitter Linked In
  • Number of hours

    • Lectures : 9.0
    • Tutorials : 9.0
    • Laboratory works : -
    • Projects : -
    • Internship : -
    • Written tests : -
    ECTS : 2.0
  • Officials : Georges-Pierre BONNEAU

Goals

The overall objective of this lecture is to get a rich overview of the main topics in Information Visualization. The detailed objectives include:

  • Understand the importance of Information Visualization
  • Acquire basic knowledge in Visual perception
  • Acquire basic knowledge in Graphical Semiology
  • Develop Visualization prototypes using standard tools
  • Learn Evaluation methods for Data Visualisation systems

Content

Among the multiple challenges raised by Big Data is the analysis one of the most difficult. How to detect correlations, important outliers, salient features in massive datasets? Our brain, through its visual processing path, is used to routinely solved an analogous problem. Our visual system effortlessly analyzes an avalanche of photon and deduces from it a mental reconstruction of the physical world surrounding us, in which each entity is linked to our previous knowledge. How to use this processing power in order to foster the visual analysis of data, such is the goal of Information Visualization.

Prerequisites

There are no prerequisites for this lecture

Tests

The evaluation is based on practicals submitted by students (note CC)

N1=CC N2=CC

Calendar

The course exists in the following branches:

  • Curriculum - Big-Data Post-Graduate Program - Semester 9
see the course schedule for 2020-2021

Additional Information

Course ID : WMMBEVI5
Course language(s): FR

You can find this course among all other courses.

Bibliography

Colin Ware, Information Visualization, Morgan-Kaufmann
Edward R. Tufte, The Visual Display of Quantitative Information
W. B. Thompson, R. W. Fleming, S H. Creem-Regehr, J. K. Stefanucci, Visual Perception from a Computer Graphics Perspective

A+Augmenter la taille du texteA-Réduire la taille du texteImprimer le documentEnvoyer cette page par mail cet article Facebook Twitter Linked In

Date of update March 10, 2020

Université Grenoble Alpes