Scientific Computing for Partial Differential Equations

5 credits

Course, Master's level, 1TD354

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
3 November 2025–18 January 2026
Language of instruction
English
Entry requirements

120 credits in science/engineering. Scientific Computing II or Introduction to Scientific Computing or Scientific Computing, Bridging Course. Several Variable Calculus. Linear Algebra II. 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 2025
Application code
UU-12011

Admitted or on the waiting list?

Registration period
20 October 2025–9 November 2025
Information on registration from the department

Location
Uppsala
Pace of study
33%
Teaching form
On-campus
Instructional time
Daytime
Study period
3 November 2025–18 January 2026
Language of instruction
English
Entry requirements

120 credits in science/engineering. Scientific Computing II or Introduction to Scientific Computing or Scientific Computing, Bridging Course. Several Variable Calculus. Linear Algebra II. Proficiency in English equivalent to the Swedish upper secondary course English 6.

Admitted or on the waiting list?

Registration period
20 October 2025–9 November 2025
Information on registration from the department

About the course

We are all familiar with weather forecasts and you have probably read about climate simulations. These are both examples where partial differential equations are used as models. The same kind of models turns up in many other areas, such as financial mathematics or biotechnology to mention a few. The methods used to solve these kinds of problems are in focus in this course, i.e. numerical solutions to partial differential equations.

When solving these problems numerically you usually get a large (often massive) equation system to solve. How to analyse and solve systems of equations is another main topic in the course.

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