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Introduction to Visualization in Science and Engineering (Schlüsselqualifikation)
Typ: Grundstudiumsvorlesung
Semester: WS 2010/2011
Umfang: 2V
Studiengang: Diplom Informatik, Diplom Softwaretechnik
Dozent: Prof. Dr. Daniel Weiskopf
Dr. Filip Sadlo
Wichtige Hinweise    
No lecture on Tuesday, 26. October.

Due to small number of students, there will be oral exam instead of written. Details will be announced.


Students will obtain a general overview of, and some basic knowledge about, visualization techniques, algorithms, and data structures as well as visual literacy and acquaintance with practical applications of visualization in science and engineering. Students will become proficient with practical aspects in a hands-on fashion by using existing visualization tools and applying them to example data from typical science and engineering disciplines (e.g. computational fluid dynamics, scanning devices, etc.).


Visualization deals with all aspects that are connected with the visual representation of data sets from scientific experiments, simulations, medical scanners, and the like in order to achieve a deeper understanding or a simpler representation of complex phenomena. To achieve this goal, both well-known techniques from the field of interactive computer graphics and completely new methods are applied. This course covers basic knowledge and practical applications of visualization by discussing the following topics:

  • Course introduction, historical remarks
  • Introductory visualization examples
  • Visualization pipeline
  • Basics of visual design and visual literacy
  • Aspects of human visual perception (color perception, Gestalt principles)
  • Data acquisition and representation (sampling and reconstruction; grids and data structures)
  • Basic mapping concepts
  • Visualization of scalar fields (isosurface extraction, volume rendering) and vector fields (particle tracing)
  • Information visualization and statistical graphics

Throughout the course, visualization methods are applied to practical examples from science and engineering, such as volumetric visualization of 3D data, flow data from computational fluid dynamics, scanner data, etc.

1.  The Visualization Handbook, C.D. Hansen, C.R. Johnson (eds.), Elsevier, 2005
2.  Information Visualization, C. Ware, Morgan Kaufmann, 2nd edition, 2004
3.  Visualisierung. Grundlagen und allgemeine Methoden, H. Schumann, W. Müller, Springer, 1999
4.  Kompendium der Mediengestaltung für Digital- und Printmedien, J. Böhringer, P. Bühler, P. Schlaich, Springer, 2006
1.  Course Material

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