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Scientific Visualization
Typ: Hauptstudium / Vertiefungslinie
Semester: SS 2016
Umfang: 3V+1Ü
Studiengang: Master Informatik, Master Softwaretechnik, Diplom Informatik, Diplom Softwaretechnik, Master-Studiengang Information Technology, International Master in Computer Science - Studienprofil VC, International Master in Computer Science - Studienprofil AUT
Dozent: Prof. Dr. Thomas Ertl
Dipl.-Inf. Steffen Frey
Beschreibung:

Important Information

  • There is no lecture on Wednesday, 15.06.2016!
  • There is no lecture on Wednesday, 22.06.2016!
  • There is no lecture on Wednesday, 6.07.2016!


  • You must get at least 50% of the total points of the assignments to be allowed to take part in the oral exam. (It does not matter if you failed one assignment or not. Only the total point counts. )
  • Date of first lecture: 04.04.2016 at 15:45 in V38.02
  • Date of first exercise group: 13.04.2016 at 15:45 in V38.02
  • The registration for the exercises is now possible through ILIAS.
  • Please regard that there will be a short introduction to gnuplot during the exercises next week. 
  • You are allowed to submit as a group of not more than three students.
  • Groups must not change after the first assignment.
  • A new assignment will be available each tuesday, at 08:00am. You can submit your solution through ILIAS until the following tuesday, 08:00am.
  • If you face any problems with the submission please contact us: Scivis‐tutors@visus.uni‐stuttgart.de


Description

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 (tentative):

  • 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

Literature

  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. Real-time volume graphics, K. Engel, M. Hadwiger, J. M. Kniss, C. Rezk-Salama, D. Weiskopf, A K Peters, 2006
  5. GPU-based interactive visualization techniques, D. Weiskopf, Springer, Berlin, 2006

Course Material

Slides & Assignments

All course material including lecture slides and exercises will be available though ILIAS.

Bilder:
Internet-Seite:
Termine: Montag, 15:45 - 17:15 Uhr in V38.02
Mittwoch, 09:45 - 11:15 Uhr in V38.02
Übungen: Mittwoch, 15:45 - 16:30 Uhr in V38.02
Mittwoch, 16:30 - 17:15 Uhr in V38.02
Tutor: Dipl.-Phys. Oliver Fernandes
Karsten Schatz M.Sc.
Liang Zhou

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