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| Module Availability |
| Semester 2 |
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| Assessment Pattern |
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Unit(s) of Assessment
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Weighting Towards Module Mark( %)
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Class test
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20
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Matlab assignment
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20
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Exam
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60
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Qualifying Condition(s)
A weighted aggregate mark of 40% is required to pass the module.
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| Module Overview |
| This module gives an introduction to numerical methods for the solution of mathematical problems and their implementation in Matlab. |
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| Prerequisites/Co-requisites |
| MAT1015 Calculus, MAT1016 Linear Algebra, MAT1025 Probability and Experiment |
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| Module Aims |
| This module gives an introduction to numerical methods for the solution of mathematical problems and their implementation in Matlab. |
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| Learning Outcomes |
| At the end of the course, the students should understand how a variety of mathematical problems can be solved computationally, and be fluent in the use of Matlab for the solution of these problems. |
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| Module Content |
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The module will consider
- Numerical solution of systems of linear equations
- Numerical solution of systems of nonlinear equations
- Polynomial interpolation
- Numerical methods for differentiation and integration
- Numerical methods for solving ordinary differential equations
- Implementation of the numerical methods in Matlab.
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| Methods of Teaching/Learning |
Teaching is by lectures, tutorials and practical computing sessions. Learning takes place through lectures, tutorials, exercises, coursework and background reading.
Semester 2: 2 hours lectures/tutorials and 1 hour lab session per week for the first 5 weeks, then 3 hours lectures/tutorials for the remaining 5 weeks. |
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| Selected Texts/Journals |
Detailed notes are supplied by the convener.
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| Last Updated |
| September 10 |
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