Scientific Computing, Bridging Course

5 credits

Course, Master's level, 1TD045

Expand the information below to show details on how to apply and entry requirements.

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

Read more about fees.

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

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.

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