MA1DE1NU-Differential Equations I

Module Provider: Mathematics and Statistics
Number of credits: 10 [5 ECTS credits]
Level:4
Terms in which taught: Autumn term module
Pre-requisites:
Non-modular pre-requisites: Some basic knowledge for programming with Matlab, R, Excel or similar.
Co-requisites:
Modules excluded:
Current from: 2020/1

Module Convenor: Dr Nick Biggs

Email: n.r.t.biggs@reading.ac.uk

Type of module:

Summary module description:

In this module, we consider the topics related to ODEs including solving first-order, higher- order differential equations and systems of differential equations introduce some fundamental theory of ODEs including existence and uniqueness of solutions and stability.  Then we consider more advanced topics such as ODEs with non-constant coefficients, integral and series solutions, Fourier series and the theory of boundary value problems.



The Module lead at NUIST is Dr Jian Ding.


Aims:

To introduce and develop the study of ordinary differential equations


Assessable learning outcomes:

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




  • Solve a range of ordinary differential equations including first-order and high-order ordinary differential equations, and systems of first-order linear equations;

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

  • Use series solution techniques for ODEs;

  • Use integral transform techniques to solve IVPs for ODEs;

  • Derive the Fourier series of a function;

  • Use eigenfunction expansions to solve appropriate BVPs for ODEs


Additional outcomes:

By the end of the module, the student will also achieve an improved understanding of the issues of existence and uniqueness of solutions and stability of solutions.


Outline content:

Week 1      Differential Equation Models, General Concepts and Definitions, The Method of Separation of Variables, and the Method of Transformation of Variables     

Week 2     First-Order Linear Equations: Method of Variation of Parameters, Bernoulli Differential Equations, Riccati Equations.

Week 3     Exact Differential Equations and Integrating Factors, First-Order Implicit Differential Equa tion

Week 4     The Existence-uniqueness Theorem, Extension of Solutions, Dependence of solutions on initial conditions

Week 5     Quiz1

Week 6     General Theory of High-order Linear Equations, Homogeneous Equations with Constant Coefficients

Week 7     Homogeneous Equations with Constant Coefficients, Non-homogeneous Equations with Constant Coefficients

We ek 8     Non-homogeneous Equations and Variation of Parameters, Some Simple High-order Differential Equations (reduction of order method)

Week 9     Quiz2

Week 10   First-order Systems, Review of Matrices and Linear Algebraic Systems, Basic Theory of Systems of First-order Linear Equations

Week 11   Homogeneous Linear Systems with Constant Coefficients–Distinct Eigenvalues, Homogeneous Linear Sy stems with Constant Coefficients– Repeated Eigenvalues

Week 12   Nonhomogeneous Linear Systems, Quiz3

Week 13   Green’s Functions for ODEs

Week 14   The Laplace Transform for ODEs

Week 15    Successive approximations (Picard) including existence & uniqueness, series solutions for a regular point, Fourier Series

Week 16   ODE Boundary Value Problems, Sturm-Liouville P roblems


Brief description of teaching and learning methods:

Lectures supported by problem sheets and weekly tutorials.


Contact hours:
  Autumn Spring Summer
Lectures 48
Tutorials 16
Guided independent study:      
    Wider reading (independent) 20
    Wider reading (directed) 6
    Exam revision/preparation 10
       
Total hours by term 0 0
       
Total hours for module 100

Summative Assessment Methods:
Method Percentage
Written exam 70
Written assignment including essay 30

Summative assessment- Examinations:

2 Hours


Summative assessment- Coursework and in-class tests:

One examination and a number of assignments.


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:

40% to pass the module academically.


Reassessment arrangements:

One re-examination paper of 2 hours duration in August - 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: 24 August 2020

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

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