| Area: | Department of Mathematics and Statistics |
| Credits: | 25.0 |
| Contact Hours: | 4.0 |
| Lecture: | 3 x 1 Hours Weekly |
| Tutorial: | 1 x 1 Hours Weekly |
| Anti Requisite(s): | 302390 (v.1) Mathematical Methods 204
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| Prerequisite(s): | 7063 (v.6) Mathematics 102 or any previous version
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| Syllabus: | Vector spaces. Inner product spaces, projections onto subspaces. Least squares. Orthogonalisation. Eigenvalues and eigenvectors. Diagonalisation. Hermitian and unitary matrices. Jordan forms. Applications to quadratic forms. Systems of linear differential equations. Singular value decomposition. Difference equations |
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| Unit Outcomes: | Use a symbolic package as a learning and computational tool in linear algebra. Understand the method for getting optimal solutions to systems of equations. Understand the link between the eigenvalues and eigenvectors of a square matrix. Complete web-based work and surveys. Understand how to deal with matrices with complex entries. Apply matrix methods to the solution of systems of differential equations, quadratic forms and singular value decomposition. |
| Text and references listed above are for your information only and current as of September 30, 2003. Please check with the unit coordinator for up-to-date information. |
| Unit References: | Elementary Linear Algebra by H. Anton (any ed.) Wiley. Applied Linear Algebra. 3rd ed. B. Noble & J.W. Daniel, 1995 Prentice Hall |
| Unit Texts: | Linear Algebra 3rd ed. .J. B. Fraleigh and R. A. Beauregard, 1995. Addison Wesley |
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| Unit Assessment Breakdown: | Web Quizzes 25%, Test 35%, End-of semester Examination 40% |
| Year | Location | Period | Internal | Area External | Central External | | 2004 | Bentley Campus | Semester 2 | Y | | | |
