Number of hours
- Lectures 9.0
- Projects -
- Tutorials 9.0
- Internship -
- Laboratory works -
- Written tests -
ECTS
ECTS 2.0
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.
PrerequisitesThere are no prerequisites for this lecture
Test
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
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