MA2MOD-Mathematical Modelling

Module Provider: Mathematics and Statistics
Number of credits: 10 [5 ECTS credits]
Level:5
Terms in which taught: Autumn term module
Pre-requisites: MA1CA Calculus and MA1LA Linear Algebra
Non-modular pre-requisites:
Co-requisites:
Modules excluded:
Module version for: 2017/8

Module Convenor: Dr Zuowei Wang

Email: zuowei.wang@reading.ac.uk

Summary module description:

This module will cover topics related to mathematical modelling, e.g. in the areas of science, engineering and finance.


Aims:

To develop student’s problem solving skills by applying mathematical techniques to solve real world problems across a broad range of scientific, engineering and financial topics, such as Newton’s laws of motion, population problem, random walk, etc. 


Assessable learning outcomes:

By the end of this module students are expected to be able to:

•    Demonstrate skills to build mathematical models for given problems;

•    Derive and solve equations implied by appropriate applications using mathematical techniques:

o    Dimensional analysis;

o    Calculus;

o    Ordinary differential equations; 

o    Stochastic processes.



 


Additional outcomes:

Examine and visualise the model solutions by using mathematical and statistical programming skills, such as Matlab and R.


Outline content:

This module will be delivered in the following steps

1.    Model building and dimensional analysis;

2.    Applications of first and second order ordinary differential equations in topics such as Newton’s laws of motion, logistic model, etc.;

3.    Applications of systems of ordinary differential equations in topics such as population or predator-prey problems;

4.    Applications of stochastic process in topics such as Markov chain and random walk.



 


Brief description of teaching and learning methods:

Lectures plus tutorials.


Contact hours:
  Autumn Spring Summer
Lectures 20 2
Tutorials 9
Guided independent study 69
       
Total hours by term 98.00 2.00
       
Total hours for module 100.00

Summative Assessment Methods:
Method Percentage
Written exam 80
Set exercise 20

Other information on summative assessment:

Formative assessment methods:

Problem sheets.


Penalties for late submission:
The Module Convenor will apply the following penalties for work submitted late, in accordance with the University policy.

  • where the piece of work is submitted up to one calendar week after the original deadline (or any formally agreed extension to the deadline): 10% of the total marks available for the piece of work will be deducted from the mark for each working day (or part thereof) following the deadline up to a total of five working days;
  • where the piece of work is submitted more than five working days after the original deadline (or any formally agreed extension to the deadline): a mark of zero will be recorded.

  • The University policy statement on penalties for late submission can be found at: http://www.reading.ac.uk/web/FILES/qualitysupport/penaltiesforlatesubmission.pdf
    You are strongly advised to ensure that coursework is submitted by the relevant deadline. You should note that it is advisable to submit work in an unfinished state rather than to fail to submit any work.

    Length of examination:

    2 hours.


    Requirements for a pass:

    A mark of 40% overall.


    Reassessment arrangements:

    One examination paper of 2 hours duration in August/September - the resit module mark will be the higher of the exam mark (100% exam) and the exam mark plus previous coursework marks (80% exam, 20% coursework).


    Additional Costs (specified where applicable):

    Last updated: 31 March 2017

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