Scientific Visualization [2022 Sommer]  

Code ISV 
Name Scientific Visualization 

LP 8 
Dauer one semester 
Angebotsturnus every 3rd semester 
Format Lecture 4 SWS + Exercise 2 SWS 
Arbeitsaufwand 240 h; thereof 90 h oncampus program 15 h exam preparation 135 h independent study and exercises (possibly in groups) 
Verwendbarkeit M.Sc. Angewandte Informatik M.Sc. Data and Computer Science M.Sc. Scientific Computing 
Sprache English 
Lehrende Filip Sadlo 
Prüfungsschema 
Lernziele  The students understand fundamental and advanced concepts of scientific visualization. They understand the mathematical fundamentals, data structures, and implementation aspects. They get to know schemes for interpolation and integration, mapping for scalar, vector, and tensor fields, and derived approaches. The students understand approaches for direct and indirect volume rendering, feature extraction, and topologybased analysis. The students are able to apply these concepts to realworld problems using existing software packages, and develop small programs using visualization libraries.  
Lerninhalte   Introduction  Visualization Process  Data Sources and Representation  Interpolation and Filtering  Approaches for Visual Mapping  Scalar Field Visualization: Advanced Techniques for Contour Extraction, Classification, TextureBased Volume Rendering, Volumetric Illumination, Advanced Techniques for Volume Visualization, PreIntegration, Cell Projection, Feature Extraction  Vector Field Visualization: Vector Calculus, Particle Tracing on Grids, Vector Field Topology, Vortex Visualization, Feature Extraction, Feature Tracking  Tensor Field Visualization: Glyphs, HueBalls and LitTensors, LineBased Visualization, Tensor Field Topology, Feature Extraction 

Teilnahme voraus setzungen 
strongly recommended is: Computer Graphics (ICG) recommended are: Einführung in die Praktische Informatik (IPI), Programmierkurs (IPK), Algorithmen und Datenstrukturen (IAD) 

Vergabe der LP und Modulendnote  The module is completed with a graded oral or written exam. The final grade of the module is determined by the grade of the exam. The requirements for the assignment of credits follows the regulations in section modalities for exams.  
Nützliche Literatur  C.D. Hansen, C.R. Johnson, The Visualization Handbook, 2005. 