Ruprecht-Karls-Universität Heidelberg
Siegel der Universität Heidelberg

Module for [Scientific Computing]

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[Visualization in Natural Sciences and Engineering] - [2014/15 Winter]

Module Code
Visualization in Natural Sciences and Engineering
Credit Points
4 CP
120 h
1 semester
Methods Lecture 2 h + Exercise course 1 h
Objectives The students have a firm command of advanced concepts and algorithms of scientific visualization and can implement them. The focus is on problems that occur in natural sciences and engineering.
Content Data acquisition, simulation, storage and processing in natural sciences and engineering Volume visualization Vector field and flow visualization Topology in visualization Visualization of multivariate data Visualization systems
Learning outcomes The students know and understand advanced concepts and algorithms from scientific visualization. can implement algorithms and interaction mechanisms. can weigh up different strategies and choose appropriate ones.
Suggested previous knowledge Programming experience, Introduction to Scientific visualization
Assessments assignments, written or oral exam
Literature C. Hanson, C. Johnson: The Visualization Handbook, Elsevier, 2005.
R. Fernando: GPU Gems, NVidia Corp., 2004.
LaMothe: Tricks of the 3D Game Programming Gurus — Advanced 3D Graphics and Rasterization, Sams Publications, 2003.
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