Numerical Methods and Computation
Undergraduate: Level 4
Monday 13 January 2020
Friday 20 March 2020
04 October 2018
Requisites for this module
The module gives an introduction to: -
* algorithms (including computer simulations, automata and Turing machines)
* numerical methods.
The 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.
On completion of the course students should: -
* a basic understanding of how to construct and use an algorithm, including basic computer simulations, automata and Turing machines
* 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.
'A' level Maths or equivalent normally required.
One lecture (one hour) and a two-hour computer lab session each week.
This module does not appear to have any essential texts. To see non-essential items, please refer to the module's reading list.
Module supervisor and teaching staff
Prof Edward Codling, email email@example.com
Miss Claire Watts, Department Manager, email firstname.lastname@example.org
No external examiner information available for this module.
Available via Moodle
Of 33 hours, 13 (39.4%) hours available to students:
20 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).
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