Entry requirements

120 credits in science/engineering including 30 credits in mathematics, where 5 credits linear algebra and 5 credits several variable calculus must be covered. Participation in Scientific Computing III or Scientific Computing for Partial Differential Equations. Proficiency in English equivalent to the Swedish upper secondary course English 6.

Learning outcomes

On completion of the course, the student should be able to:

• explain fundamental concepts in mathematical modelling with partial differential equation, and fundamental properties for elliptic, parabolic and hyperbolic equations;
• formulate and with a computer solve second order elliptic boundary value problems in one and two spatial dimension using the finite element method.
• derive error bounds for elliptic equations in one and two spatial dimensions, and be able to use these error bounds to construct adaptive algorithms for local mesh refinement.
• solve parabolic and hyperbolic partial differential equations using the finite element method in space and finite differences in time, and to compare different time stepping algorithms and choose appropriate algorithms for the problem at hand.
• use finite element software to solve more complicated problems, such as coupled systems of equations.
• evaluate different techniques for solving problems and be able to motivate when to use existing software and when to write new code.

Content

The content in the course is built up around a design problem, to solve a coupled physics model. This includes modifing the geometry and ensuring that the accuracy is at least as good as prescribed accuracy.

Classes of problems covered in the course are elliptic boundary value problems, hyperbolic and parabolic time dependent problems.

The Finite element tools used are surface representation in CAD systems, discrete finite element spaces in 1D and 2D, piecewise polynomial approximation (interpolation and projection, quadratures), mesh generation (triangulation in 1D and 2D, local mesh refinement, Delaunay and Voronoi).

Variational formulation, Galerkin FEM (Finite Element Method) in 1D and 2D including time-dependent problems, standard stability estimates, a priori and a posteriori error estimates in 1D for elliptic problems, a priori for 2D for elliptic problems).

Instruction

Lectures, computer labs and assignments.

Assessment

Written exam (3hp) and assignments (2hp).

If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the disability coordinator of the university.