Scientific Computing, Bridging Course
Course, Master's level, 1TD045
Expand the information below to show details on how to apply and entry requirements.
Autumn 2024
Autumn 2024,
Uppsala, 33%, On-campus, English
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 2 September 2024–3 November 2024
- Language of instruction
- English
- Entry requirements
-
120 credits in science/engineering including 30 credits in mathematics, 5 credits in computer programming and 5 credits in scientific computing. Proficiency in English equivalent to the Swedish upper secondary course English 6.
- Selection
-
Higher education credits in science and engineering (maximum 240 credits)
- Fees
-
If you are not a citizen of a European Union (EU) or European Economic Area (EEA) country, or Switzerland, you are required to pay application and tuition fees.
- First tuition fee instalment: SEK 12,083
- Total tuition fee: SEK 12,083
- Application deadline
- 15 April 2024
- Application code
- UU-12017
Admitted or on the waiting list?
- Registration period
- 26 July 2024–9 September 2024
- Information on registration from the department
Autumn 2024
Autumn 2024,
Uppsala, 33%, On-campus, English
For exchange students
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 2 September 2024–3 November 2024
- Language of instruction
- English
- Entry requirements
-
120 credits in science/engineering including 30 credits in mathematics, 5 credits in computer programming and 5 credits in scientific computing. Proficiency in English equivalent to the Swedish upper secondary course English 6.
Admitted or on the waiting list?
- Registration period
- 26 July 2024–9 September 2024
- Information on registration from the department
About the course
The course provides you with the knowledge required for the study of higher courses in scientific computing and computational science. The course assists in bridging the gap for students who have no or just a little prior knowledge in scientific computing and the level needed in the Master Programme in Computational Science. The course can be combined with Scientific Computing III (either in parallel with or after this course).
The course covers important parts of Scientific Computing I and II, such as solution methods for linear systems, ordinary differential equations and Monte Carlo methods. MATLAB is used throughout the course and programming in MATLAB is an important part of the course.