Course syllabus
Matematisk modellering med statistiska tillämpningar, projekt
Mathematical Modelling with Statistical Applications, Project
FMAF25, 3 credits, G2 (First Cycle)
Valid for: 2015/16
Decided by: Education Board B
Date of Decision: 2015-04-16
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 guest lectures and treats oral and
written presentation.
The project part consists of two shorter projects which begin
with compulsory computer sessions. 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 the lectures.
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/