Master's studies

Syllabus for Scientific Visualisation

Vetenskaplig visualisering

A revised version of the syllabus is available.


  • 5 credits
  • Course code: 1TD389
  • Education cycle: Second cycle
  • Main field(s) of study and in-depth level: Computer Science A1N, Technology A1N, Computational Science A1N
  • Grading system: Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
  • Established: 2008-03-18
  • Established by: The Faculty Board of Science and Technology
  • Revised: 2010-04-23
  • Revised by: The Faculty Board of Science and Technology
  • Applies from: week 27, 2010
  • Entry requirements: 120 credits, of which Computer programming I and Scientific computing II or the equivalent is included.
  • Responsible department: Department of Information Technology

Learning outcomes

To pass, the student should be able to

  • describe the data flow in a visualisation system;

  • outline the methods that transform the data and information to visual representations;

  • use and program advanced software for various visualisation techniques.


Scientific Visualisation is an area concerned with the visualisation of large and complex data sets, where the data might come from experiments or computations. Visualisation is a way, in many cases the only possible way, to achieve insight and knowledge.
Discrete models. Volume rendering: ray-tracing, splatting, texture based. Isosurface reconstruction. Transformation of discrete volume data to polygonal representations. Mesh topologies and mesh simplification. Visualisation techniques. Visual aspects based on perception. Particle rendering. Algorithms for programmable graphics hardware. Applied visualisation. The course includes projects such as programming in VTK (the Visualisation Toolkit).


Lectures, laboratory work and compulsory assignments.


Written examination at the end of the course. Passed laboratory course and approved compulsory assignments are also required.

Reading list

Reading list

Applies from: week 28, 2010

  • Schroeder, Will Martin, Ken; Lorensen, Bill The visualization toolkit : an object-oriented approach to 3D graphics

    3. ed.: [Tech Valley]: Kitware Inc., 2004

    Find in the library