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Visualization in Science and Engineering
Typ: Wahlvorlesung
Semester: WS 2010/2011
Umfang: 2V+2Ü
Studiengang: Diplom Informatik, Diplom Softwaretechnik
Dozent: Prof. Dr. Daniel Weiskopf
Dr. Filip Sadlo
Beschreibung:

Visualization in Science and Engineering

  Organisatorisches    
WS 2010,  (Wahlvorlesung), 
2V+2Ü (Vorlesungen + Übungen)
Dozenten: Filip Sadlo   (Homepage)
Daniel Weiskopf   (Homepage)
Tutoren: Markus Ueffinger  
Harald Sanftmann  
Termine: Di   17:30  -  19:00    in V38.02   Lecture
Do   09:45  -  11:15    in 0.452   Tutorial
  Wichtige Hinweise    
Intended Audience: COMMAS students (elective course), other non-computer science students that are interested in visualization.

No lecture on Tuesday, 26. October.

The practical component will start on Thursday, 28. October.

2010-10-21: New assignment handed out (see Course Material), due 3. November. Support will be given on 28. October.
  Beschreibung    

Goals

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.).

Summary

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.

  Literatur    
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
  Links    
1.  Course Material


»Stundenplanübersicht«   »Listenübersicht«   

Bilder:
Internet-Seite:
Termine: Dienstag, 17:30 - 19:00 Uhr in V38.02
Übungen: Donnerstag, 09:45 - 11:15 Uhr in 0.452
Tutor: Dipl.-Inf. Dr. Markus Üffinger
Dr. Harald Sanftmann

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