TEK5600 – Visualization of Scientific Data
Changes in the course due to coronavirus
Autumn 2020 we plan for teaching and examinations to be conducted as described in the course description and on semester pages. However, changes may occur due to the corona situation. You will receive notifications about any changes at the semester page and/or in Canvas.
Spring 2020: Teaching and examinations was digitilized. See changes and common guidelines for exams at the MN faculty spring 2020.
The course provides an introduction to basic concepts of visualization and computer graphics. Key objectives of the course are to introduce useful tools and concepts for scientific visualization. It not only focuses on how and what we visualize, but also why. The course also deals with advanced data visualization and rendering techniques. The data used as examples in the course are taken from, among other things, numerical flow physics and medicine.
After completing this course, you will have:
- Experience in using basic and advanced techniques to visualize scientific data
- Knowledge on why we need visualization
- Knowledge of what we visualize and how
- Basic knowledge in computer graphics
- Knowledge of techniques for visualizing scalar, vector and tensor data
- Knowledge of basic and advanced rendering techniques, with special emphasis on volume rendering, as well as knowledge of concepts such as photo-realistic and non-photo-realistic rendering
- Knowledge of advanced flow visualization techniques such as Line Integral Convolution, Illuminated field lines and Anisotropic Diffusion
- Knowledge of motion (kinematics) and animation techniques for time-varying data
- A good basis for scientific visualization in further studies in physical and mathematical subjects, in computer science and in medicine
Admission to the course
Students admitted at UiO must apply for courses in Studentweb. Students enrolled in other Master's Degree Programmes can, on application, be admitted to the course if this is cleared by their own study programme.
Nordic citizens and applicants residing in the Nordic countries may apply to take this course as a single course student.
If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures for international applicants.
Recommended previous knowledge
Some knowledge in mathematics and programming will be an advantage.
- 10 credits overlap with TEK9600 – Visualization of Scientific Data.
- 10 credits overlap with UNIK4660 – Visualization of scientific data (continued).
- 10 credits overlap with UNIK9660 – Visualization of scientific data (continued).
- 9 credits overlap with UNIKI-VAVD.
3 hour lectures per week throughout the semester. There will be mandatory assignments which must be approved in order to take the exam.
There will be an oral exam in the end of the semester which counts 100% of the final grade. In case of many students, the exam may be written instead.
The course has mandatory assignments which must be approved in order to take the exam.
Examination support material
No examination support material is allowed.
Language of examination
Subjects taught in English will only offer the exam paper in English. You may write your examination paper in Norwegian, Swedish, Danish or English.
Grades are awarded on a scale from A to F, where A is the best grade and F is a fail. Read more about the grading system.
Resit an examination
Students who can document a valid reason for absence from the regular examination are offered a postponed examination at the beginning of the next semester. Re-scheduled examinations are not offered to students who withdraw during, or did not pass the original examination.