Syllabus
Scientific Visualization
5 credits
Course code: 1TD389
Established: 2008-03-18
Established by: teknisk-naturvetenskapliga fakultetsnämnden
Revised: 2009-04-27
Requirements: 120 ECTS credits, where Computer programming I, Scientific computing 10hp or the equivalent is included.
Level of education: Advanced level
Grading System: U Fail, 3 Pass, 4 Pass with credit, 5 Pass with distinction
Main Area of Studies
Computer Science, Computational Science
Learning outcomes
To pass, the student should be able to
- describe the data flow in a visualization system;
- outline the methods that transform the data and information to visual representations;
- use and program advanced software for various visualization techniques.
Contents
Discrete models. Volume rendering: ray-tracing, splatting, texture based. Iso-surface reconstruction. Transformation of dicrete volume data to polygonal representations. Mesh topologies and mesh simplification. Visualization techniques. Visual aspects based on perception. Particle rendering. Algorithms for programmable graphics hardware. Applied visualization. The course includes projects such as programming in VTK (the Visualization Toolkit).
Instructions
Lectures, laboratory work and compulsory assignments.
Examination
Written examination at the end of the course. Passed laboratory course and approved compulsory assignments are also required.
Course literature
| Schroeder, Will : The visualization toolkit : an object-oriented approach to 3D graphics. Martin, Ken; Lorensen, Bill 3. ed. : - [Tech Valley] : Kitware Inc., 2004 - 474 s. ISBN: 1-930934-12-2 Libris: 9767785 |
| Se bibliotekskatalogen |
More information
-
Earlier revisions of this syllabus:
- Syllabus version, approved: 2008-03-18
Contact
Responsible Department:
Department of Information Technology
ITC, hus 1,2,4 Lägerhyddsv. 2
Box 337, 751 05 UPPSALA
E-mail: info@it.uu.se
Fax: +46 18 511925
Participating Department:
Centre for Image Analysis
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