Course content

Methods in scientific visualization is presented in this course. First a short introduction to computer graphics is given: Terminology, data representation and some algorithms for geometry building are presenter. Various rendering techniques are mentioned. Special attention is paid to textured based direct rendering or "voxel rendering", which is used extensively through the course.
We consider not only how to visualize, but also what to visualize. That is the motivation for including kinematics (the science of motion) into the course. Concepts of kinematics are used when visualizing vector and tensor fields. They are used in the formulation of various schemes used to visualize time varying fields (animations).
New techniques for field line visualization like "line integral convolution", "illuminated field lines" and "anisotropic diffusion" are presented. The techniques are applied to astrophysical/geophysical fluid data, computational fluid dynamics data and medical data.

Learning outcome

The aim of this course is to give the students basic experience in modern data visualization techniques. The course is suited for students of physical sciences, computer science, applied mathematics, and medical sciences.

Learning methods and activities

Lectures from Unik through video conferencing. Lectures and voluntary exercises. In addition, there will be one or more mandatory assignments. Portfolio assessment is the basis for the grade awarded in the course. This portfolio comprises an oral examination 75% and mandatory assignments 25%. The results for the constituent parts are to be given in %-points, while the grade for the whole portfolio (course grade) is given by the letter grading system.

Compulsory assignments

• Exercise(s)

Recommended previous knowledge

Basic knowledge in analysis and linear algebra.

Course materials

Will be announced at the start of the course.