Scientific Computing for Partial Differential Equations, 5 credits

Academic year 2022/2023

  • Autumn 2022, 33%, Campus

    Start date: 29 August 2022

    End date: 30 October 2022

    Application deadline: 19 April 2022

    Application code: UU-12003 Application

    Language of instruction: English

    Location: Uppsala

    Selection: Higher education credits in science and engineering (maximum 240 credits)

    Registration: 28 July 2022 – 5 September 2022

  • Spring 2023, 33%, Campus

    Start date: 16 January 2023

    End date: 19 March 2023

    Application deadline: 17 October 2022

    Application code: UU-62003 Application

    Language of instruction: English

    Location: Uppsala

    Selection: Higher education credits in science and engineering (maximum 240 credits)

    Registration: 15 December 2022 – 23 January 2023

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.

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 or tuition fees. Formal exchange students will be exempted from tuition fees, as well as the application fee. Read more about fees.

Application fee: SEK 900

Tuition fee, first semester: SEK 12,083

Tuition fee, total: SEK 12,083

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 that are used to solve these kind 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 huge) equation system to solve. How to analyse and solve systems of equations i another main topic in the course.

More information

Contact

Department of Information Technology

hus 10, Lägerhyddsvägen 1

Box 337, 751 05 UPPSALA

Email: info@it.uu.se

Student counsellor

Email: studievagledare@it.uu.se