Winter Semester 2011/2012
-
Scientific Visualization
Lecture with tutorials, 57815
- Instructor: Tino Weinkauf, weininf.mpg.de
- Instructor: Jens Krüger
- Semester: Winter 2011/2012
- Lectures:
- Wednesdays 16:00 - 18:00
- Fridays 14:00 - 16:00
- Location: E1.4 Rotunda 2nd floor (Room 233, MPII Building)
- Tutorials:
- Mondays 12:00 - 14:00
- Location: E1.7 Room 0.01 (MMCI-Building)
- Credit Points: 9
- Office hours: Appointments can be coordinated via e-mail
- Class materials: Available for download (you need to get an account from us first). The lecture slides are available immediately after the lecture.
Overview
The focus of this introductory course is on discussing efficient techniques to visually represent large-scale data sets from simulation and measurement. Starting with a brief introduction on the data generation processes the visualization pipeline, data structures, mapping techniques and special rendering techniques for scientific data will be discussed. Various examples will be given to outline the benefits of visualization techniques in practical applications.
See some visualizations for yourself (these videos have been created with Amira by me and my colleagues at Zuse Institute Berlin):
Course topics:
- Data Acquisition
- Data Representation & Interpolation
- Filtering techniques
- Basic mapping techniques
- Volume Visualization
- Flow Visualization
- Feature Analysis
- Topology
- Tensor Visualization
- Information Visualization
Expected Work
The course is suitable for MS students. Students will create their own (small) visualization system from scratch in C++. Familiarity with basic computer graphics (or motivation to learn this fast) is desirable. Assessment will be based on an oral exam at the end of the semester.
Oral Exam
- 30 min
- 05.03.2012: 8 am - 5 pm
- D3.4, Room 2.32
To be admitted to the exam, you need to have
- Turned in at least 50% of all homework assignments
- Received at least 50% of all homework points
Literature
- Alexandru Telea, Data Visualization: Principles and Practice, A K Peters Ltd, 2007, ISBN 978-1568813066, 502 pages
- Schumann, Müller: Visualisierung - Grundlagen und allgemeine Methoden, Springer Verlag
- Nielson, Hagen, Müller: Scientific Visualization , IEEE Computer Society Press
- Charles Hansen and Chris R. Johnson (eds.), The Visualization Handbook, Academic Press, 2004, ISBN: 978-0123875822, 984 pages
- Brodlie: Scientific Visualization - Techniques and Applications, Springer Verlag
- Engel, Hadwiger, Kniss, Rezk-Salama, Weiskopf: Real-Time Volume Graphics
- Gallagher: Computer Visualization: Graphics Techniques for Scientific and Engineering Analysis, CRC Press
- Earnshaw, Wiseman: An Introductory Guide to Scientific Visualization, Springer Verlag
- Proceedings of IEEE Visualization Conferences 1990-2011
- Proceedings of EuroVis/VisSym 1999-2011