(Created 2011-09-01.)

MATHEMATICAL MODELLING | FMA045 |

**Aim**

The aim of the course is to arouse awareness of the problems of mathematical modelling, i.e., what it means to create quantitative models which can give understanding of phenomena in reality. A further aim is that the student should learn to master some general tools and structures which can be used in modelling, and learn engineering ways of thinking. The course should also provide acquaintance with Matlab and its use for simulation and computation. Furthermore, the course should develop the student's abilities in oral and written presentation.

*Knowledge and understanding*

For a passing grade the student must

- be able to describe and informally explain the process of mathematical modelling, including identification of the problem, formulation, analysis, computation, simulation and feed-back.

- be able to use basic concepts in Matlab programming, such as numbers, vectors, matrices, iteration, scripts, functions, and with confidence be able to carry out simple computations on a computer.

*Skills and abilities*

For a passing grade the student must

- identify and judge how different factors affect a system,
- formulate a problem in mathematical terms, equations and constraints,
- judge the validity and limitations of a model, and how it can be refined,
- analyse and carry out simple simulations on a model,
- consider and interpret the solution model in relation to the original problem, and judge the validity and limitations of the solution.

in writing as well as orally, with proper terminology, in a well-structured manner and with clear logic be able to explain the solution to a modelling problem.

*Judgement and approach*

For a passing grade the student must

be able to tolerate redundance in or missing data, and in such cases to have an engineering attitude in making considerations.

**Contents***Modelling:* The couplings between model and reality. Validation of a model. Some modelling tools.

*Basic Matlab programming:* Numbers, vectors, matrices, iteration, the work area, scipts, functions. Visualisation.

**Literature**

Åström & Sparr: Matematisk modellering. Matematikcentrum 2005.

Per Jönsson: MATLAB-beräkningar inom teknik och naturvetenskap. Studentlitteratur 2010. ISBN 9789144069265

**Code: **0107.
**Name: **Mathematical Modelling.

**Higher education credits: ** 3,5.
**Grading scale: **UG.
**Assessment:** Written and oral reports on project work, individually and groupwise. Compulsory attendance at the presentations of project reports.
**Contents:** The couplings between model and reality. Validation of a model. Some modelling tools.

**Code: **0207.
**Name: **Basic Matlab Programming.

**Higher education credits: ** 1.
**Grading scale: **UG.
**Assessment:** Home exam on a computer.
**Contents:** Numbers, vectors, matrices, iteration, the work area, scipts, functions. Visualisation.