Course syllabus

# Matematisk modellering med statistiska tillämpningar, projekt

Mathematical Modelling with Statistical Applications, Project

## FMAF25, 3 credits, G2 (First Cycle)

## General Information

## Aim

## Learning outcomes

## Contents

## Examination details

## Admission

Admission requirements:## Reading list

## Contact and other information

Mathematical Modelling with Statistical Applications, Project

Valid for: 2017/18

Decided by: PLED F/Pi

Date of Decision: 2017-04-06

Main field: Technology.

Compulsory for: Pi2

Language of instruction: The course will be given in Swedish

- To develop the student's capability to independently study of mathematical literature.
- To develop the student's capability to write technical reports and to orally present scientific results.
- To develop the student's capability to cooperate within a group within given time limits.
- To develop the student's capability to implement theoretical methods from previous courses on realistic problems using e.g. Matlab.
- To give the student the basics in mathematical modelling of random variation and an understanding of the principles behind statistical analysis.

Knowledge and understanding

For a passing grade the student must

- have a good knowledge about the rules for writing technical reports.
- have an understanding for the need for statistical methods when making decisions within business and organizations.
- be able to describe fundamental techniques for statistical inference and be able modify them to fit realistic situations.

Competences and skills

For a passing grade the student must

- together with another student have written a project report in Swedish that satisfies the common demands on a technical report.
- be able to present the contents of the report using adequate audiovisual equipment.
- be able to implement mathematical and/or statistical methods using Matlab.
- together with another student, and with access to Matlab and mathematical literature, be able to carry out and account for more extensive calculations

Judgement and approach

For a passing grade the student must

be able to examine a mathematical or statistical model and its ability to describe reality.

The course contains a lecture part (30%) and a project part(70%).

The lecture part includes a guest lecture with compulsory attendance.

The project part consists of two shorter projects. The participants are given rough plans for the projects at start.

Grading scale: UG - (U,G) - (Fail, Pass)

Assessment: Written report on one to two small projects. Oral presentation of one project. Written test on what was done in the project may occur.

The examiner, in consultation with Disability Support Services, may deviate from the regular form of examination in order to provide a permanently disabled student with a form of examination equivalent to that of a student without a disability.

- FMAA10 Mathematical modelling

Required prior knowledge: FMAF05 Mathematics - Systems and Transforms, FMSF45 Mathematical Statistics, Basic course

The number of participants is limited to: No

- Material which is handed out to the participants.
- Walla, E: Så skriver du bättre tekniska rapporter. Studentlitteratur, 2004, ISBN: 9789144019130.

Course coordinator: Anders Holst, studierektor@math.lth.se

Teacher: Anders Källén, anderskallen@gmail.com

Course administrator: Studerandeexpeditionen, expedition@math.lth.se

Course homepage: http://www.maths.lth.se/course/mathmodproj/