Visualization of Scientific Data

Overview of methods of scientific visualization, some computer graphics, selected rendering techniques, kinematics, visualization of scalar, vector and tensor fields, line integral convolution, illuminated field lines and anisotropic diffusion. Examples of visualization of data from astrophysics, geophysics, fluid dynamics and medicine.

1. Knowledge. The student has a basic understanding of modern computer visualization techniques. The student has knowledge not only about how we visualize, but what we visualize. Moreover, the student understands how kinematic concepts are used to visualize vector fields and time dependent fields (animations).

2. Skills. The student is able to visualize selected data sets from science and technology. The student understands the principles behind various visualization techniques and is able to make a qualified choice of method and tools.

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. The lectures may be given in English. If the course is taught in English, the exam will be given only in English. Students are free to choose Norwegian or English for written assessments.