Summer Semester 2009/10
Data Visualization GM1102e
Course content:
1. Introduction, basic terms and examples of the first visualizations.
2. - 3. The Visualization ToolKit
4. Phisiology of sight, optical ilusions. Data collecion methods.
5. Data visualization with ParaView
6. - 7. Selected advanced datastructures.
8. Visualization on the plane
9. Visualization in 3D
10. Photorealistic visualization
11. Scientific data visualization: physics and astronomy
12. Scientific data visualization: math and computer science
13. Scientific data visualization: natural sciences
14. - 15. Wisualization in Geographic Information Systems
Learning outcomes:
(in Polish) Rodzaj przedmiotu
Course coordinators
Bibliography
a) basic references:
Introduction to Computer Graphics, J.D. Foley, A. van Dam, S.K. Feiner, J.F. Hughes,
Computational Geometry: An Introduction, Computational Geometry: An Introduction
Computational Geometry, Algorithms and Applications, M. de Berg, M. van Krevel d, M. Overmars, O. Schwarzkopf,
Mastering Blender, Tony Mullen
The VTK User's Guide, Amy Henderson Squillacote
The Visualization Toolkit Will Schroeder, Ken Martin, Bill Lorensen
The ParaView Guide, Kitware, Inc.
b) supplementary references: