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Scientific Visualization
Typ: Hauptstudium / Vertiefungslinie
Semester: SS 2015
Umfang: 3V+1Ü
Studiengang: Master Informatik, Master Softwaretechnik, Diplom Informatik, Diplom Softwaretechnik, Master-Studiengang Information Technology, International Master in Computer Science - Studienprofil VC
Dozent: Prof. Dr. Thomas Ertl
Beschreibung:

Important Information

  • 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. )
  • There will be no lecture on Wednesday 8. Juli. The next lecture is on 14. Juli.
  • There will be no lecture on Tuesday 2. June. The next lecture is on 3. June.
  • There will be no Lecture in the first week. The first lecture is on Tuesday 21 April.
  • The first exercise will take place on Monday, 27 April 2014.
  • The ILIAS Page of this course is now online. All course material will be available here.
  • The registration for the exercises is now possible through ILIAS
  • The first assignment is now available in ILIAS. Submission is due to 04.05.2015.
  • 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 monday, at 08:00am. You can submit your solution through ILIAS until the following monday, 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

Links

Course Material

Slides & Assignments

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

Bilder:
Internet-Seite:
Termine: Dienstag, 11:30 - 13:00 Uhr in V38.02
Mittwoch, 09:45 - 11:15 Uhr in V38.02
Übungen: Montag, 15:45 - 16:30 Uhr in V38.02
Mittwoch, 15:45 - 16:30 Uhr in V38.02
Tutor: Dipl.-Inf. Steffen Frey
Dipl.-Inf. Michael Bußler
Dipl.-Phys. Qi Han

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