Scientific Visualisation
Course, Master's level, 1MD140
Autumn 2023 Autumn 2023, Uppsala, 50%, On-campus, English Only available as part of a programme
- Location
- Uppsala
- Pace of study
- 50%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 31 October 2023–14 January 2024
- Language of instruction
- English
- Entry requirements
-
120 credits including a basic course in programming. Proficiency in English equivalent to the Swedish upper secondary course English 6.
- Application deadline
- 17 April 2023
- Application code
- UU-11617
Admitted or on the waiting list?
- Registration period
- 17 October 2023–7 November 2023
- Information on registration
Autumn 2024 Autumn 2024, Uppsala, 50%, On-campus, English Only available as part of a programme
- Location
- Uppsala
- Pace of study
- 50%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 4 November 2024–19 January 2025
- Language of instruction
- English
- Entry requirements
-
120 credits including a basic course in programming. Proficiency in English equivalent to the Swedish upper secondary course English 6.
- Application deadline
- 15 April 2024
- Application code
- UU-11617
Admitted or on the waiting list?
- Registration period
- 21 October 2024–11 November 2024
- Information on registration
About the course
The expression "a picture is worth a thousand words" refers to the idea that complex stories can be described with just a single image. The expression is also valid in the scientific area and expresses what scientific visualisation is about. When large and complex data sets result from experiments and computations, visualisation is a way to give deeper insight and knowledge. Scientific Visualisation deals with these, methods that offer a way to see the unseen.
In the course, you will learn how to select appropriate methods for a given data set, possibilities and limitations with methods, and use visualisation toolkits. The focus will be on using script programming in combination with VTK (the Visualisation Toolkit) and this way creating great visualisations