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| Module Availability |
Autumn |
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| Assessment Pattern |
Assessment Pattern
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Unit(s) of Assessment
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Weighting Towards Module Mark( %)
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Assignment 1
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40
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Assignment 2
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60
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Qualifying Condition(s)
An aggregate mark of 40% is required to pass this module.
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| Module Overview |
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| Prerequisites/Co-requisites |
| None |
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| Module Aims |
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Introduce programming techniques and the computational package Matlab, for the solution of mathematical problems and classical algorithms.
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| Learning Outcomes |
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At the end of the course, students should be able to:
Solve mathematical problems using matlab
Implement simple programs for experimental exploration of
mathematical problems.
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| Module Content |
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Computational Packages - Using the package matlab to perform algebraic and numerical computational tasks
Mathematical programming and classical algorithms.
Experimental Mathematics - A selection of topics from pure and applied mathematics will be explored. Some of these should be familiar from previous modules; others may be preparatory for work to be covered in later modules. The emphasis throughout will be on an investigative approach: exploring various systems by developing mathematical models of them and discovering their properties via computer-aided experimentation.
Mathematical Modelling - Principles and tools for constructing a few simple models. Techniques for computing, visualising and interpreting solutions to problems formulated as mathematical models.
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| Methods of Teaching/Learning |
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Teaching is by two-hour lab sessions, each week, which being with a 20-30min lecture explaining the material for the lab.
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| Selected Texts/Journals |
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Matlab Primer, Kermit Sigmon
Matlab: For Beginners and Experienced Users (Cambridge University Press)
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| Last Updated |
| March 2011 |
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