The Finite Element Method 7.5 credits
About the course
The course consists of two elements.
Element 1 (4 credits): Theory.
This course focuses on finite element methods (FEM) for the numerical solution of linear and nonlinear partial differential equations (PDE). The most important finite elements are introduced, for example higher order polynomials on tetrahedra and hexahedra as well as isoparametric elements. An abstract framework for the analysis of elliptic problems is used throughout the course, in example to prove existence and uniqueness and for error analysis.
Element 2 (3.5 credits): Computer lab work.
Implementation of FEM and examples of its applications in real world problems is treated in mandatory computer sessions.
Apply
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Spring 2027
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The Finite Element Method
Second admissions round for EU/EEA citizens
VT27 / Umeå / English / On site
Application opens 15 September 2026Show more Show less
Starts25 March 2027
Ends6 June 2027
Number of credits7.5 credits
Type of studiesOn site
Study pace50%
Teaching hoursDaytime
Study locationUmeå
LanguageEnglish
Application codeUMU-58003
EligibilityThe course requires 90 ECTS of which 22,5 ECTS in Calculus including a course in Multivariable Calculus, a course in Linear Algebra on basic level and a course in Numerical Methods for Partial Differential Equations on advanced level or equivalent. Proficiency in English and Swedish equivalent to the level required for basic eligibility for higher studies.
SelectionGuaranteed place
ApplicationThe online application opens 15 September 2026 at 09:00 CET. Application deadline is 15 October 2026. Please note: This second application round is intended only for EU/EEA/Swiss citizens.
Application and tuition feesAs a citizen of a country outside the European Union (EU), the European Economic Area (EEA) or Switzerland, you are required to pay application and tuition fees for studies at Umeå University.
Application fee: SEK 900
Tuition fee, first instalment: SEK 19,038
Total fee: SEK 19,038
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How to apply
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Mathematics and Mathematical StatisticsGood to know
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