Course syllabus
Matematisk modellering med statistiska tillämpningar, projekt
Mathematical Modelling with Statistical Applications, Project
FMAF25, 3 credits, G2 (First Cycle)
Valid for: 2016/17
Decided by: Education Board B
Date of Decision: 2016-03-29
General Information
Main field: Technology.
Compulsory for: Pi2
Language of instruction: The course will be given in Swedish
Aim
- 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.
Learning outcomes
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.
Contents
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.
Examination details
Grading scale: UG
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.
Admission
Admission requirements:
Required prior knowledge: FMAF05 Mathematics - Systems and Transforms , FMS012 Mathematical Statistics, Basic course
The number of participants is limited to: No
Reading list
- Material which is handed out to the participants.
- Walla, E: Så skriver du bättre tekniska rapporter. Studentlitteratur, 2004, ISBN: 9789144019130.
Contact and other information
Course coordinator: Anders Holst, studierektor@math.lth.se
Teacher: Anders Källén, anderskallen@gmail.com
Course homepage: http://www.maths.lth.se/course/mathmodproj/