黑料不打烊

Study information

Differential Equations - 2025 entry

黑料不打烊

MODULE TITLEDifferential Equations CREDIT VALUE15
MODULE CODEMTH2003 MODULE CONVENERDr Joanne Mason (Coordinator)
DURATION: TERM 1 2 3
DURATION: WEEKS 11 0 0
Number of Students Taking Module (anticipated) 300
DESCRIPTION - summary of the module content
Differential equations are at the heart of nearly all modern applications of mathematics to natural phenomena. Computerised applications play a vital role in many areas of modern technology. Mathematically, all rates of change and acceleration can be described by derivative functions. These include the growth of populations, the spread of diseases, movement of physical objects in response to forces acting on them, or even the fluctuations of the stock market. You will learn the basic principles of differential equations and will apply that knowledge to some everyday phenomena. Then you will learn about methods of finding solutions for some classes of differential equations. In particular, you will develop methods to solve the wave and heat equations which are fundamental to modelling many physical processes.
 
This course will enable you to demonstrate an understanding of, and competence in, a range of analytical tools for posing and solving differential equations, and their application to situations in science and technology. 
 
Prerequisite modules: MTH1002 or NSC1002 (Natural Science Students) or PHY1026.
AIMS - intentions of the module

The aim of this module is to introduce you to some representative types of ordinary and partial differential equations and to introduce a number of analytical techniques used to solve them exactly or approximately.

INTENDED LEARNING OUTCOMES (ILOs) (see assessment section below for how ILOs will be assessed)
 
On successful completion of this module, you should be able to:
 
 
Module Specific Skills and Knowledge:
 
1 Demonstrate a working knowledge of how to identify, classify and solve a range of types of ordinary and partial differential equations;
 
2 Reveal an insight into their application and derivation;
 
3 Show some knowledge of a selection of special functions and series methods used for solution of these differential equations.
 
 
Discipline Specific Skills and Knowledge:
 
4 Exhibit an understanding of range of analytical tools for posing and solving differential equations;
 
5 Display competence in applying these tools;
 
6 Prove an understanding of the concept of using differential equations for mathematical modelling of natural phenomena and engineering applications.
 
 
Personal and Key Transferable/ Employment Skills and  Knowledge:
 
7 Demonstrate an ability to monitor your own progress and to manage time;
 
8 Show an ability to formulate and solve complex problems.
 
SYLLABUS PLAN - summary of the structure and academic content of the module
  • Review of simple methods for solving first order ordinary differential equations (ODEs). Sufficient conditions to guarantee existence and uniqueness to such ODEs.
  • Systems of first-order differential equations. Linear Systems. Constant coefficients case. Variation of Parameters.
  • The general linear second order ODE. Equations with constant coefficients, Euler-Cauchy equations. Reduction of Order and Variation of Parameters.
  • Boundary value problems, eigenfunctions and eigenvalues. Orthogonality of eigenfunctions of Sturm-Liouville problems.
  • Power series methods: Leibniz-Maclaurin method and method of Frobenius (selected examples). 
  • Selected orthogonal systems of functions: trigonometric functions, Legendre polynomials, Bessel functions. Series in orthogonal functions, including Fourier series.
  • Examples of linear partial differential equations (PDEs) and their solutions, including initial/boundary-value problems for one-dimensional wave equation and one-dimensional heat equation.
  • Solution of PDEs in two and three spatial dimensions using separation of variables, a.k.a. normal modes or (generalised) Fourier series, in Cartesian, polar and spherical coordinates.
  • Selected applications of ODEs and PDEs.
LEARNING AND TEACHING
LEARNING ACTIVITIES AND TEACHING METHODS (given in hours of study time)
Scheduled Learning & Teaching Activities 38 Guided Independent Study 112 Placement / Study Abroad
DETAILS OF LEARNING ACTIVITIES AND TEACHING METHODS
Category Hours of study time Description
Scheduled learning and teaching activities 33 Lectures including examples classes
Scheduled learning and teaching activities 5 Tutorials
Guided independent study 112 Lecture and assessment preparation; wider reading

 

ASSESSMENT
FORMATIVE ASSESSMENT - for feedback and development purposes; does not count towards module grade
Form of Assessment Size of Assessment (e.g. duration/length) ILOs Assessed Feedback Method
Exercise sheets 5 x 10 hours 1-8 Discussion at tutorials and solutions provided in ELE; tutor feedback on submitted solutions.

 

SUMMATIVE ASSESSMENT (% of credit)
Coursework 10 Written Exams 90 Practical Exams 0
DETAILS OF SUMMATIVE ASSESSMENT
Form of Assessment % of Credit Size of Assessment (e.g. duration/length) ILOs Assessed Feedback Method
Written exam – closed book 80 2 hours (January) 1-8 Written/verbal on request, SRS
Computer-based test 10 40 minutes 1-8 In-class
Coursework exercises  10 15 hours 1-8 Annotated script and written/verbal feedback

 

DETAILS OF RE-ASSESSMENT (where required by referral or deferral)
Original Form of Assessment Form of Re-assessment ILOs Re-assessed Time Scale for Re-reassessment
Written Exam Written exam (2 hours) (80%) All Referral/deferral period
Computer-based test Computer-based test (10%) All Referral/deferral period
Coursework exercises  Coursework Exercises 2 (10%) All Referral/deferral period

 

RE-ASSESSMENT NOTES
Deferrals: Reassessment will be by coursework and/or exam in the deferred element only. For deferred candidates, the module mark will be uncapped. 
 
Referrals: Reassessment will be by a single written exam worth 100% of the module only. As it is a referral, the mark will be capped at 40%.  
RESOURCES
INDICATIVE LEARNING RESOURCES - The following list is offered as an indication of the type & level of
information that you are expected to consult. Further guidance will be provided by the Module Convener

Web based and Electronic Resources:  ELE: https://ele.exeter.ac.uk

 

 

Reading list for this module:

Type Author Title Edition Publisher Year ISBN
Set Arfken, G.B. & Weber, H.J. Mathematical Methods for Physicists Electronic Harcourt/ Academic Press 2005 000-0-120-59825-6
Set O'Neil, P.V. Advanced Engineering Mathematics 2nd Wadsworth 1987 000-0-534-06792-1
Set Stephenson, G. & Radmore, P.M. Advanced Mathematical Methods for Engineering and Science Students Cambridge University Press 1990 000-0-521-36860-X
Set Boyce, W E, Di Prima, R C Elementary differential equations and boundary value problems 9th edition John Wiley and Sons 2009 978-0-470-39873-9
Set Kreyszig, E. Advanced Engineering Mathematics 9th Wiley 2006 978-0471728979
CREDIT VALUE 15 ECTS VALUE 7.5
PRE-REQUISITE MODULES MTH1002, PHY1026
CO-REQUISITE MODULES
NQF LEVEL (FHEQ) 5 AVAILABLE AS DISTANCE LEARNING No
ORIGIN DATE Tuesday 10th July 2018 LAST REVISION DATE Thursday 21st August 2025
KEY WORDS SEARCH Differential equations; orthogonal functions.

Please note that all modules are subject to change, please get in touch if you have any questions about this module.

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