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Module Title LI Differential Equations
Department Mathematics
Module Code 06 25670
Module Lead Dr Chris Good
Level Intermediate Level
Credits 20
Semester Full Term
Pre-requisites LC Vectors, Geometry & Linear Algebra - (06 25664) LC Real Analysis & the Calculus (BNatSci) - (06 25764) LC Real Analysis & the Calculus - (06 25660)
Restrictions None
Contact Hours Lecture-0 hours
Seminar-0 hours
Tutorial-0 hours
Project supervision-0 hours
Demonstration-0 hours
Practical Classes and workshops-0 hours
Supervised time in studio/workshop-0 hours
Fieldwork-0 hours
External Visits-0 hours
Work based learning-0 hours
Guided independent study-0 hours
Placement-0 hours
Year Abroad-0 hours
Description When mathematical modelling is used to describe physical, biological, chemical or other phenomena, one of the most common results is either a differential equation or a system of differential equations, which, together with appropriate boundary and/or initial conditions, describe the situation. These differential equations can be either ordinary (ODEs) or partial (PDEs) and finding and interpreting their solution lies at the heart of applied mathematics. This module develops the theory of differential equations with a particular focus on techniques of solving both linear and nonlinear ODEs. Fourier series, which arise in the representation of periodic functions, and special functions, which arise in the solution of PDEs such as Laplace’s equation that models the flow of potential, are also introduced. A number of the classical equations of mathematical physics are solved.
Learning Outcomes By the end of the module students should be able to:
  • use phase-plane methods to analyse second order nonlinear ordinary differential equations
  • formulate and analyse the equations of motion for particles under the action of applied forces
  • set up boundary value problems for ordinary differential equations using a variety of techniques
  • solve various linear and nonlinear ODEs using a variety of techniques
  • calculate the Fourier series of a function and recognise when the series converges to the function
Assessment 25670-01 : Raw Module Mark : Coursework (0%)
25670-03 : Final Module Mark : Coursework (100%)
Assessment Methods & Exceptions Assessment: 1.5 hour examination (80%), work done during semester (20%)

Reassessment: best of 1.5 hour resit examination (100%) or 1.5 hour resit examination (80%) and work done during the semester (20%)

Depending on their programme, students will take either one or two of Algebra & Combinatorics 2, Statistics and Differential Equations. Students taking two of these modules will sit a single three hour paper.
Reading List