Numerical Methods and Computation

The details
Mathematical Sciences
Colchester Campus
Undergraduate: Level 4
Thursday 03 October 2019
Saturday 14 December 2019
01 October 2019


Requisites for this module



Key module for

BSC G100 Mathematics,
BSC G102 Mathematics (Including Year Abroad),
BSC G103 Mathematics (Including Placement Year),
BSC G104 Mathematics (Including Foundation Year),
BSC 5B43 Statistics (Including Year Abroad),
BSC 9K12 Statistics,
BSC 9K13 Statistics (Including Placement Year),
BSC 9K18 Statistics (Including Foundation Year),
BSC G1G4 Mathematics with Computing (Including Year Abroad),
BSC G1G8 Mathematics with Computing (Including Foundation Year),
BSC G1GK Mathematics with Computing,
BSC G1IK Mathematics with Computing (Including Placement Year),
BSC G1F3 Mathematics with Physics,
BSC G1F4 Mathematics with Physics (Including Placement Year),
BSC GCF3 Mathematics with Physics (Including Year Abroad)

Module description

For students outside of the Department, an appropriate A level in Mathematics (or equivalent) is required for this module. If you are unsure whether you meet this criteria please contact before attempting to enrol. This module gives an introduction to algorithms (including computer simulations, automata and Turing machines) and numerical methods.

Module aims

This module introduces the notion of an algorithm along with examples such as computer simulations, automata and Turing machines. We will introduce some basic numerical methods, their strengths and weaknesses, and see how we can use them to solve problems that otherwise we may not be able to tackle. We will also look at how we can implement some of these methods using an appropriate computer package.

Module learning outcomes

On completion of the course students should have: a basic understanding of how to construct and use an algorithm, including basic computer simulations, automata and Turing machines; and a basic understanding of numerical methods including being able to carry out simple numerical processes by hand as well as implementing and executing algorithms in an appropriate computer package.

Module information

No additional information available.

Learning and teaching methods

Lectures and classes in weeks 2-6; computer lab sessions in weeks 7-11.


This module does not appear to have any essential texts. To see non-essential items, please refer to the module's reading list.

Assessment items, weightings and deadlines

Coursework / exam Description Deadline Weighting
Coursework   Homework 1  08/11/2019   
Coursework   Homework 2  06/12/2019   
Exam  90 minutes during Summer (Main Period) (Main) 

Overall assessment

Coursework Exam
20% 80%


Coursework Exam
0% 100%
Module supervisor and teaching staff
Prof Edward Codling, email:
Prof Edward Codling, email; Dr Jesus Martinez-Garcia, email
Professor Edward Codling (



External examiner

No external examiner information available for this module.
Available via Moodle
Of 31 hours, 15 (48.4%) hours available to students:
16 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).


Further information
Mathematical Sciences

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