MA2DENU-Differential Equations

Module Provider: Mathematics and Statistics
Number of credits: 20 [10 ECTS credits]
Level:5
Terms in which taught: Autumn / Spring term module
Pre-requisites: MA1CANU Calculus and MA1LANU Linear Algebra
Non-modular pre-requisites:
Co-requisites:
Modules excluded:
Current from: 2020/1

Module Convenor: Dr Peter Sweby

Email: p.k.sweby@reading.ac.uk

Type of module:

Summary module description:

In this module, we continue the ODE work of Part 1 and consider more advanced topics such as ODEs with non-constant coefficients, integral and series solutions, Fourier series and the theory of boundary value problems. This is then extended into the study of partial differential equations, in particular the diffusion equation, the wave equation and Laplace’s equation, for which appropriate solution techniques are studied.



Module Lead in NUIST:   Dr Zijin Li (Email: zijinli@nuist.edu.cn)


Aims:

To further develop the study of ordinary differential equations building on ODEs met in Part 1 and to introduce and develop the study of partial differential equations and their   applications.


Assessable learning outcomes:

By the end of the module the student is expected to be able to:




  • Solve non-constant coefficient ODEs;

  • Construct and use Green's function to solve appropriate ODEs and PDEs problems;

  • Use series solution techniques for ODEs;

  • Use integral transform techniques to solve IVPs for ODEs and PDEs;

  • Derive the Fourier series of a function;

  • Use eigenfunction expansions to solve appropriate BVPs for ODEs and PDEs;

  • Use Duhamel's principle and the heat kernel to solve homogeneous and inhomogeneous diffusion problems;

  • Solve the wave equation using D'Alembert's formula;

  • Appropriately use maximum principles;

  • Solve a variety of PDEs using the separation of variables technique.



 


Additional outcomes:

The student will also achieve an improved understanding of the issues of existence and uniqueness of solutions and the ability to provide a physical interpretation of their   mathematics.


Outline content:

Differential equations are at the heart of modern applied mathematics. For ODEs we continue the work of part 1 and consider more advanced topics such as ODEs with non-constant coefficients, Laplace transform and series solutions, Fourier series and the theory of boundary value problems including eigenfunction expansion techniques for simple Sturm Liouville problems. For PDEs the module uses the diffusion, wave and Laplace’s equations as exemplars. Their solutio n properties are explored, including the different type of problems (IVP, IBVP and BVP) for which they are well posed as well as such issues as maximum principles for elliptic and parabolic PDEs. Solution techniques such as the heat kernel, Duhamel’s principle, separation of variables and D’Alembert’s solution are introduced as well as extending the Laplace transform, Greens functions and eigenfunction expansions to PDE problems. The relationship of PDEs to mathematical modelli ng of the physical sciences is highlighted.


Brief description of teaching and learning methods:

Lectures, supported by problem sheets and weekly tutorials.


Contact hours:
  Autumn Spring Summer
Lectures 40 40
Tutorials 8 8
Guided independent study: 52 52
       
Total hours by term 100 100 0
       
Total hours for module 200

Summative Assessment Methods:
Method Percentage
Written exam 70
Set exercise 30

Summative assessment- Examinations:

3 hours.


Summative assessment- Coursework and in-class tests:

Six pieces of assessed work.


Formative assessment methods:

Problem sheets.


Penalties for late submission:

The Module Convenor will apply the following penalties for work submitted late:

  • where the piece of work is submitted after the original deadline (or any formally agreed extension to the deadline): 10% of the total marks available for that piece of work will be deducted from the mark for each working day[1] (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.

Assessment requirements for a pass:

A mark of 40% overall.


Reassessment arrangements:

One examination paper of 3 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 (70% exam, 30% coursework).


Additional Costs (specified where applicable):

Last updated: 21 April 2020

THE INFORMATION CONTAINED IN THIS MODULE DESCRIPTION DOES NOT FORM ANY PART OF A STUDENT'S CONTRACT.

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