| Area: | Department of Mathematics and Statistics |
| Credits: | 12.5 |
| Contact Hours: | 4.0 |
| Lecture: | 3 x 1 Hours Weekly |
| Tutorial: | 1 x 1 Hours Weekly |
| Anti Requisite(s): | 7905 (v.5) Mathematical Methods 202
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| Prerequisite(s): | 8648 (v.3) Mathematical Methods 201 or any previous version
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| Syllabus: | Vector spaces. Inner product spaces, projections onto subspaces. Least squares. Orthogonalization. Eigenvalues and eigenvectors. Diagonalization. |
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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. |
| 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 | | | |
