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Valid for year : 2014
 
TNM067 Scientific Visualization, 6 ECTS credits.
/Vetenskaplig visualisering/

For:   ACG   BME   D   IT   MED   MMAT   MT   Y  

 

Prel. scheduled hours: 48
Rec. self-study hours: 112

  Area of Education: Technology

Main field of studies: Media Technology, Computer Engineering, Information Technology

  Advancement level (G1, G2, A): A

Aim:
The goal for this course is to provide the student with deep insights into methods for visualization of scientific data from experiments and simulations. The applicability of the various methods is shown through practical programming exercises. Upon completion of the course the student should be able to:
  • For a given data set choose an appropriate visualization method.
  • Design and implement a visualization tool using the chosen. method and available software toolkits.
  • Read and present the content in scientific papers in the field.


Prerequisites: (valid for students admitted to programmes within which the course is offered)
Computer Graphics, Physical modeling, VR-technology

Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshhold requirements for progression within the programme, or corresponding.
Organisation:
The course is composed of lectures and laboratory assignments. Scientific papers will also be included as self-study material. The course makes use of the existing infrastructure for visualization including advanced virtual reality equipment.
Course contents:
  • Overview of visualization pipelines and programming models as well as data interfaces in an object oriented visualization paradigm
  • Types of data representation and grids
  • Cell types
  • Structured and unstructured data
  • Scalar and vector data
  • Interpolation techniques for visualization
  • Basic and advanced visualization algorithms for scalar fields such as color mapping, contour lines and surfaces
  • Visualization of vector fields such as flow lines and surfaces and time animation of these
  • Modeling algorithms
  • Overview of techniques for volume rendering
  • Software libraries for visualization such as OpenGL, AVS and the Visualization Tool Kit (VTK)
  • Presentation of applications from a number of scientific and technical areas.
The knowledge gained is applicable in several existing and emerging applications in industry and the public sector, but can also form the foundation of research and development in scientific visualization both within academia and specialized companies.

Course literature:
The Visualization Toolkit, An Object-Oriented Approach To 3D Graphics, 3rd edition, ISBN 1-930934-12-2
Selected scientific papers
Examination:
Laboratory work
Written examination
 3 ECTS
3 ECTS
 


Course language is English.
Department offering the course: ITN.
Director of Studies: Camilla Forsell
Examiner: Timo Ropinski
Link to the course homepage at the department


Course Syllabus in Swedish

Linköping Institute of Technology
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Contact: TFK , val@tfk.liu.se
Last updated: 03/04/2014