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Typ: Wahlvorlesung
Semester: SS 2012
Umfang: 3V+1Ü
Studiengang: Diplom Informatik, Diplom Softwaretechnik, InfoTech, Bachelor Informatik, Bachelor Softwaretechnik
Dozent: Prof. Dr. Thomas Ertl
Dr. Filip Sadlo


Visualization deals with all aspects that are connected with the visual representation of data sets from scientific experiments, simulations, medical scanners, databases and the like 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. The objective of the course is to provide knowledge about visualization algorithms and data structures as well as acquaintance with practical applications of visualization. Based on the visualization pipeline and the classification of mapping methods, this course will present visualization algorithms and data structures for various kinds of applications and scenarios. 

Topics of this course are:

  • Introduction, historical remarks, visualization pipeline
  • Data acquisition and representation (sampling and reconstruction; grids and data structures)
  • Human visual perception
  • Basic mapping concepts
  • Visualization of scalar fields (isosurface extraction, volume rendering)
  • Visualization of vector fields (particle tracing, texture-based methods, vector field topology)
  • Tensor fields, multi-attribute data, multi-field visualization
  • Information visualization (high-dimensional data, tables, interaction techniques, trees, graphs)


  1. The visualization handbook, C.D. Hansen, C.R. Johnson (eds.), Elsevier, 2005
  2. Visualisierung. Grundlagen und allgemeine Methoden, Schumann, Müller
  3. Scientific visualization: overviews, methodologies, and techniques, G. Nielson, H. Hagen, H. Mueller (eds.), IEEE Computer Society, 1997
  4. Information visualization: perception for design, C. Ware, Elsevier/Morgan Kaufmann, 2004
  5. Real-time volume graphics, K. Engel, M. Hadwiger, J. M. Kniss, C. Rezk-Salama, D. Weiskopf, A K Peters, 2006
  6. GPU-based interactive visualization techniques, D. Weiskopf, Springer, Berlin, 2006


Course Material




  • Online submission with eClaus
  • for access details please contact ... (see below, Tutors)


  • Last lecture on July 17.
  • Because of low interest, the second time slot for the tutorial (15:45 - 16:30) was cancelled.
  • Registration for oral exam ends on June 10!
  • No lecture on 5. and 6. June
  • No lecture on 15. and 16. May
  • No lecture on 1. May
  • Lecture starts 10. April
  • There was often the question about whether the tutorial would influence the grade of the Visualization exam or not, and if it is necessary to pass the tutorial. For Diploma students the tutorial will have no influence on their grade and they not need to pass the tutorial. According to the module handbook for INFOTECH and Bachelor students,  this is also the case for INFOTECH and Bachelor students.
Termine: Dienstag, 11:30 - 13:00 Uhr in V38.02
Mittwoch, 11:30 - 13:00 Uhr in V38.02
Übungen: Montag, 13:15 - 14:00 Uhr in V38.02
Tutor: Dipl.-Phys. Michael Raschke
Dipl.-Inf. Rudolf Netzel
Dr. rer. nat. Marcel Hlawatsch

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