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Visualization
Typ: Wahlvorlesung
Semester: SS 2007
Umfang: 3V+1Ü
Studiengang: Wirtschaftsinformatik, InfoTech, Diplom Softwaretechnik, Diplom Informatik
Dozent: Prof. Dr. Thomas Ertl
Beschreibung:
Beschreibung    
Visualization deals with all aspects that are connected with the visual representation of (huge) data sets from scientific experiments or simulations in order to achieve a deeper understanding or a simpler representation of complex phenomena. To obtain this goal, both well-known techniques from the field of interactive computer graphics and completely new methods are applied. Based on the visualization pipeline and the classification of mapping methodes, this course will present visualization algorithms and data structures for various kinds of applications and scenarios.
Among the topics of this lecture are: huge geometric models (such as terrain models, finite element models from car industry), cartesian 3D scalar fields (such as medical CT-data), unstructured 3D vector fields (e.g., from computational fluid dynamics), and information visualization (such as tables or graphs).
  Literatur    
1.  Scientific Visualization, Nielson, Hagen, Müller
2.  Visualisierung. Grundlagen und allgemeine Methoden, Schumann, Müller
3.  Computer Visualization : Graphics Techniques for Scientific and Engineering Analysis, Richard S. Gallagher
  Links    
1.  course notes ss07 (slides in PDF)
2.  assignments
3.  course notes ss06 (slides in PDF)
4.  e-learning course


»Stundenplanübersicht«   »Listenübersicht«   

Bilder:
Internet-Seite:
Termine: Dienstag, 11:30 - 13:00 Uhr in V38.02
Mittwoch, 11:30 - 13:00 Uhr in V38.02
Übungen: Mittwoch, 16:30 - 17:15 Uhr in V38.02
Tutor: Dipl.-Inf. Dr. Magnus Strengert
Enrico Taras
Dipl.-Inf. Christoph Müller
Dipl.-Inf. Dr. Friedemann Rößler

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