Information Visualisation - WMMBEVI5

Goal(s)

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

Responsible(s)

Georges-Pierre BONNEAU

Content(s)

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.

There are no prerequisites for this lecture

Test

Evaluation : TP notés

Resit : Examen oral (exposé, soutenance, etc..) (1H00)

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

Calendar

The course exists in the following branches:

• Curriculum - Big-Data Post-Graduate Program - Semester 9

Additional Information

Course ID : WMMBEVI5
Course language(s):

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