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Previous: MA1152 Introductory Linear Algebra
MA1201 Mathematical Modelling
Credits: 10 |
Convenor: Dr. J. Levesley |
Semester: 1 (weeks 2 to 6) |
Prerequisites: |
|
|
Assessment: |
Class tests, poster presentation, modelling report: 100% |
Examination: 0% |
Lectures: |
20 |
Problem Classes: |
0 |
Tutorials: |
none |
Private Study: |
55 |
Labs: |
0 |
Seminars: |
none |
Project: |
none |
Other: |
none |
Surgeries: |
0 |
Total: |
75 |
Subject Knowledge
Aims
This module aims to show students how they can use simple mathematics to model real life situations. They will be shown how assumptions can be made in order to make a mathematical model. Solutions arising from models will be compared to the real world to see if they make sense.
Learning Outcomes
Know how to: make simplifying assumptions; assign parameters to physical quantities to make a mathematical model; interpret solution and compare it to real life; simulate a random process using a random number generator; simulate a simple queueing problem; how to fit an algebraic or exponential curve to data.
Methods
Lectures, workshops, handouts.
Assessment
Marked project reports, marked poster presentations, class tests.
Subject Skills
Aims
To provide students with report writing, group work, oral and poster presentation, and information handling skills.
Learning Outcomes
Students will have written a number of project reports, and given three group poster presentations. They will need to assess complex information and select the appropriate information for building models.
Methods
Lectures, workshops, handouts.
Assessment
Modelling project, and group oral poster presentation.
Explanation of Pre-requisites
None.
Course Description
Modelling is about applying simple mathematics to real situations.
You will make assumptions in order to simplify problems, and then
create a mathematical
description of this simplified situation. You will then
use mathematical manipulations to provide you with
information about the situation. It is then very important
to compare your answer to the real world to see if it makes sense.
Much emphasis in this module will
be placed on critically examining solutions to problems,
and deciding how much we can trust them. It is clear thinking that will help you
to succeed.
Syllabus
This module is designed to build your confidence and competence in modelling.
Therefore, you will do a number of modelling problems. The situations you will
model are relatively unimportant, but they will include problems involving
random
processes. These will be modelled using simulation.
You will learn other skills, such as data fitting, poster presentation,
written presentation, and working in groups.
Reading list
Background:
D. Edwards and M. Hamson,
Guide to Mathematical Modelling,
MacMillan, 1989.
D. Edwards and M. Hamson,
Mathematical Modelling Skills,
MacMillan, 1996.
J. Berry and K. Houston,
Mathematical Modelling,
Edward Arnold, 1995.
Resources
Poster making materials, handouts, lecture rooms.
Module Evaluation
Module questionnaires, module review, year review.
Next: MA1221 Pure Mathematics at Work
Up: ModuleGuide03-04
Previous: MA1152 Introductory Linear Algebra
Author: C. D. Coman, tel: +44 (0)116 252 3902
Last updated: 2004-02-21
MCS Web Maintainer
This document has been approved by the Head of Department.
© University of Leicester.