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2015/16 Undergraduate Module Catalogue

MATH1920 Computational Mathematics

10 creditsClass 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

Due to COVID-19, teaching and assessment activities are being kept under review - see module enrolment pages for information

Delivery typeNumberLength hoursStudent hours
Workshop102.0020.00
Lecture111.0011.00
Private study hours69.00
Total Contact hours31.00
Total hours (100hr per 10 credits)100.00

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

Due to COVID-19, teaching and assessment activities are being kept under review - see module enrolment pages for information


Coursework
Assessment typeNotes% of formal assessment
Project3 x 25% coursework projects75.00
In-course Assessment30 minute exam taken in lectures25.00
Total percentage (Assessment Coursework)100.00

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: 15/04/2015

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