Scientific Computing, Bridging Course
Course, Master's level, 1TD045
Autumn 2023 Autumn 2023, Uppsala, 33%, On-campus, English
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 28 August 2023–30 October 2023
- 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.
- Application fee: SEK 900
- First tuition fee instalment: SEK 12,083
- Total tuition fee: SEK 12,083
- Application deadline
- 17 April 2023
- Application code
- UU-12017
Admitted or on the waiting list?
- Registration period
- 28 July 2023–4 September 2023
- Information on registration.
Autumn 2023 Autumn 2023, Uppsala, 33%, On-campus, English For exchange students
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 28 August 2023–30 October 2023
- 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
- 28 July 2023–4 September 2023
- Information on registration.
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 that 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.