Syllabus academic year 2010/2011
(Created 2010-07-25.)
Credits: 7,5. Grading scale: TH. Cycle: G2 (First Cycle). Main field: Technology. Language of instruction: The course will be given in Swedish. FMAF15 overlaps following cours/es: FMA062 and FMA435. Alternative for: M3, W3. Course coordinator: Director of Studies Anders Holst,, Mathematics. Recommended prerequisits: Basic university studies in calculus and linear algebra. Assessment: Written test. Some computer work. Home page:

The aim of the course is to treat such mathematical concepts and methods in vector analysis and partial differential equations above the basic level that are important for further studies within e.g. mechanics, solid mechanics, fluid mechanics, ecology, electrical engineering and for further professional activities.

Knowledge and understanding
For a passing grade the student must

be able to state the important definitions and theorems in three-dimensional vector analysis, and understand their interpretation in the applications.

have good knowledge of Fourier series and their application for solving model problems in partial differential equations, and have knowledge of the Fourier transform.

be able to show good understanding of concepts such as initial conditions and boundary conditions.

be able to show ability to draw up and interpret mathematical models with different boundary conditions for the three basic types of differential equations: the heat/diffusion equation, the wave equation, the Laplace equation.

have some experience and understanding of mathematical and numerical software for differential equations.

Skills and abilities
For a passing grade the student must

be able to show capability to identify problems which can be modelled with the concepts introduced.

be able to show ability to use the concepts in connection with modelling and problem solving.

with proper terminology, suitable notation, in a well-structured manner, and with clear logic be able to explain the solution to a problem.

Vector analysis: Scalar and vector fields. Gradient, divergence, rotation. Conservative fields, potential. Curve integrals and surface integrals. Gauss' and Stokes' theorems. The continuity equation.

Fourier series and partial differential equations: Fourier series. Half period expansions. The Fourier transform. Step and impulse functions.

The heat conduction and diffusion equation. The wave equation. Method of separation of variables. The Laplace equation.

Persson, A. & Böiers, L.C.: Analys i flera variabler, Chapter 10. Studentlitteratur 2004. ISBN 91-44-03869-0.
Sparr, A.: Tillämpad matematik 1. KF-Sigma.
Supplementary literature from the department.