Numerical Analysis - COM00006C

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  • Department: Computer Science
  • Module co-ordinator: Prof. Richard Wilson
  • Credit value: 10 credits
  • Credit level: C
  • Academic year of delivery: 2017-18

Module occurrences

Occurrence Teaching cycle
A Spring Term 2017-18 to Summer Term 2017-18

Module aims

The aims of this module are to:

  • Introduce the main theories and methods in Computational Mathematics
  • Illustrate the application of computational techniques in Numerical Analysis

Module learning outcomes

On completion of the module, student will:

  • Have a working knowledge of basic mathematical techniques in series, differentiation and linear algebra
  • Understand how to use bisection, fixed point iteration and Newton's method to solve non-linear equations
  • Know how to solve linear equations both with and without constraints
  • Be able to apply Least-Squares to fit a function to data
  • Understand how to optimise multivariate functions

Assessment

Task Length % of module mark
University - closed examination
Numerical Analysis (NUMA)
1.5 hours 100

Special assessment rules

None

Reassessment

Task Length % of module mark
University - closed examination
Numerical Analysis (NUMA)
1.5 hours 100

Module feedback

9 hours of problem classes
5 hours of lab-based practical classes.

Key texts

**** K. A. Stroud, Engineering Mathematics, Palgrave Macmillan, 2001

+++ Chapra and Canale, Numerical Methods for Engineers, McGraw-Hill Higher Education, 2002



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.