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. 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 data Structured and unstructured data
• Basic visualization algorithms for scalar fields, e.g. color mapping, contour lines and surfaces for vector fields, e.g. flow lines and surfaces and time animation of these for tensor fields, e.g. glyphs, tensor lines
• Overview of techniques for volume rendering
• Introduction to concepts for more advanced visualizations data analysis data exploration feature extraction topological methods
• Examples of some application specific visualization techniques