Ruprecht-Karls-Universität Heidelberg
Siegel der Universität Heidelberg

Module for [Scientific Computing]

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[Introduction to Scientific Visualization] - [2015 Sommer]

Module Code
IGWV
Name
Introduction to Scientific Visualization
Credit Points
8 LP CP
Workload
240 h
Duration
ein Semester
Cycle
0
Methods Lecture 4 h + Exercise course 2 h
Objectives
Content Human vision and how it affects the intake of visual information. Visualization pipeline Statistical graphics Visualization of scalar and vector fields Interaction and data exploration Fundamentals of graph drawing
Learning outcomes The students know and understand central concepts and algorithms from scientific visualization. can implement algorithms and interaction mechanisms. can weigh up different strategies and choose appropriate ones.
Prerequisitesnone
Suggested previous knowledge IPI, IPK, IAD
Assessments assignments, written or oral exam
Literature Alexandru C. Telea: Data Visualization - Principles and Practice, A K Peters Ltd., 2007.
Robert Spence: Information Visualization, Addison Wesley, 2000.
Colin Ware: Information Visualization, Morgan Kaufmann, 2. Edition, 2004.
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