Scientific Visualization

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. The knowledge gained is useful in a number of existing and new applications in business and society, but can also form the basis for research and development work in scientific visualization both within universities and specialized companies.

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.

Content

• Introduction to visualization: visualization as a research field, applications, tasks
• Visualization pipeline
• Data representation and interpolation:Basic data types: Scalar, vector and tensor dataStructured and unstructured data
• Basic visualization algorithmsfor scalar fields, e.g. color mapping, contour lines and surfacesfor vector fields, e.g. flow lines and surfaces and time animation of thesefor tensor fields, e.g. glyphs, tensor lines
• Overview of techniques for volume rendering
• Introduction to concepts for more advanced visualizations data analysisdata explorationfeature extractiontopological methods
• Examples of some application specific visualization techniques