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Numerical Analysis - MAT00041H

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  • Department: Mathematics
  • Module co-ordinator: Information currently unavailable
  • Credit value: 20 credits
  • Credit level: H
  • Academic year of delivery: 2019-20

Related modules

Co-requisite modules

  • None

Prohibited combinations

Module will run

Occurrence Teaching cycle
A Autumn Term 2019-20 to Spring Term 2019-20

Module aims

  • To introduce numerical approximation techniques for solving standard problems in Mathematics, and explain when and why they work.
  • To derive some of these techniques rigorously from first principles.
  • To explain how (packaged) computer software is able to produce numerical solutions, and to enable a judgement of whether the results are reliable.
  • To provide opportunities for implementing numerical techniques on a computer.

Module learning outcomes

Subject content

  • Derive elementary numerical methods from first principles.
  • Apply the numerical methods discussed to simple examples, using pen and paper (i.e., without the help of a computer).
  • Implement numerical methods using computer software, and apply them in examples.
  • Compute error estimates for simple numerical methods.
  • Judge under which circumstances a given numerical method is reliable.

Academic and graduate skills

  • Understand some elements of computer programming
  • Understand the concept of computer algorithms

Module content

[Pre-requisite modules:

Calculus (MAT00001C) and Algebra (MAT0010C), or

Mathematics for the Sciences I (MAT00007C) and Mathematics for the Sciences II (MAT00008C).

Plus Mathematical Skills II (MAT00027I), or sufficient programming skills obtained otherwise (e.g., through the Mathematics and Computer Science Combined Programme)]


  • Numerical errors
  • Root finding for functions of one variable
  • Root finding for functions of several variables
  • Solving linear equation systems
  • Interpolation by polynomials
  • Numerical integration
  • Numerical differentiation
  • Initial value problems for ordinary differential equations
  • Boundary value problems for ordinary differential equations
  • Partial differential equations


Task Length % of module mark
24 hour open exam
Numerical Analysis
N/A 60
Computer-based assessments
N/A 20
Written coursework
N/A 20

Special assessment rules



Task Length % of module mark
24 hour open exam
Reassessment - closed examination - 3 hrs
N/A 100

Module feedback

Current Department policy on feedback is available in the undergraduate student handbook. Coursework and examinations will be marked and returned in accordance with this policy.

Indicative reading

R L Burden and J D Faires, Numerical Analysis, Brooks/Cole

The information on this page is indicative of the module that is currently on offer. The University is constantly exploring ways to enhance and improve its degree programmes and therefore reserves the right to make variations to the content and method of delivery of modules, and to discontinue modules, if such action is reasonably considered to be necessary by the University. Where appropriate, the University will notify and consult with affected students in advance about any changes that are required in line with the University's policy on the Approval of Modifications to Existing Taught Programmes of Study.

Coronavirus (COVID-19): changes to courses

The 2020/21 academic year will start in September. We aim to deliver as much face-to-face teaching as we can, supported by high quality online alternatives where we must.

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