MATH1920 Computational Mathematics
10 Credits Class Size: 80
Module manager: Dr R Sturman
Email: R.Sturman@leeds.ac.uk
Taught: Semester 2 (Jan to Jun) View Timetable
Year running
2015/16
Pre-requisite qualifications
Good grade in A-level Mathematics or equivalent
This module is not approved as a discovery module
Module summary
- introduction to the principles of computational mathematics.
- fundamentals of syntax, structure and file management in Python.
- loops, functions, data types.
- coding of simple algorithms, such as Euclid's algorithm, the Sieve of Eratosthenes, continued fraction algorithm.
- computational solution to more advanced problems, such as sorting algorithms, random walks, bifurcation diagrams and chaos, linear and nonlinear regression.
- limitations of computational methods.
Objectives
On completion of this module, student should:
- understand the use and limitations of computers in a mathematical setting;
- be familiar with the rudiments of programming and syntax using Python;
- understand and construct mathematical and computational algorithmics;
- be able to solve mathematical problems using computational methods;
- be able to interpret correctly the result of a computational procedure.
Syllabus
This module introduces students to computational techniques, algorithms and numerical solutions. Students will learn basic programming using the language Python and apply computational techniques to the solution of mathematical problems.
Teaching Methods
| Delivery type |
Number |
Length hours |
Student hours |
| Workshop |
10 |
2 |
20 |
| Lecture |
11 |
1 |
11 |
| Private study hours |
69 |
| Total Contact hours |
31 |
| Total hours (100hr per 10 credits) |
100 |
Private study
Studying and revising of course material.
Completing of assignments and assessments.
Opportunities for Formative Feedback
Assessed programming and written work with feedback returned to students.
Methods of Assessment
Coursework
| Assessment type |
Notes |
% of formal assessment |
| Project |
3 x 25% coursework projects |
75 |
| In-course Assessment |
30 minute exam taken in lectures |
25 |
| Total percentage (Assessment Coursework) |
100 |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
Reading List
The reading list is available from the Library website
Last updated: 4/15/2015
Errors, omissions, failed links etc should be notified to the Catalogue Team