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Scientific Visualization
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Scientific Visualization
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| Time, Place: |
Mo 15:30 - 18:00 MI 00.13.009A |
| Begin: |
22.10.2007 |
| Prerequisites: |
None
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This lecture is intended for students in Informatics (Diploma/Bachelor/Master), Computational Science and Engineering, Computational Mechanics, Computational Methods in Applied Science and Engineering.
It is held in English language.
Exams
Written examination for COME/CSE/other (2 SWS, lecture until christms): 04.02.2008, 16:00 - 18:00, Room MW 1250
(Closed-book exam - you only need a black/blue pen, 75 minutes)
Copy of exam
Results are available from the Mytum portal
Oral examination for Informatik/Technomathemtik/other (3 SWS, complete lecture): 13.02.2008
Re-examination (oral) on Wednesday, 09.04.2008
(Get a time slot in the showcase close to room 02.13.052 or send email to me)
Content
The focus of this introductory course is on discussing efficient techniques to visually represent large-scale data
sets from simulation and measurement. Data generation processes will be addressed as well
as the visualization pipeline, data structures, mapping techniques and special rendering techniques for scientific data.
Various examples will be given to outline the benefits of visualization techniques in practical applications.
This course is regularly held in the winter term.
Course Topics
- Introduction
- Basics (visualization pipeline, data structures, data types)
- Key application - medical imaging and computational fluid dynamics
- Geometry (triangulation, optimization)
- Filtering and data reconstruction
- Basic mapping techniques
- Volume visualization
- Vector field visualization
Literature
- Foley, Van Dam, Feiner, Hughes: Computer Graphics:
Principles and Practice, Addison-Wesley, 2nd edition in C
- Watt, Watt: Computer Graphics, Addison-Wesley
- Glassner: Principles of digital image synthesis, Morgan
Kaufman
- Encarnaçao, Klein, Strasser: Graphische
Datenverarbeitung, 4. Auflage, Oldenburg Verlag
- Griebel, Bungartz, Zenger: Computer Graphik, Vieweg Verlag
- Nielson, Hagen, Müller: Scientific Visualization , IEEE Computer Society Press
- Schumann, Müller: Visualisierung - Grundlagen und allgemeine Methoden, Springer Verlag
- Gallagher: Computer Visualization: Graphics Techniques for Scientific and Engineering Analysis, CRC Press
- Brodlie: Scientific Visualization - Techniques and Applications, Springer Verlag
- Earnshaw, Wiseman: An Introductory Guide to Scientific Visualization, Springer Verlag
Exercises
There are no exercises for this lecture.
Lecture slides and programming
Enter password.
Course Notes & Errata
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