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Linear Algebra With Applications (6 points)


Leader: Dr Tom Hall

Clayton First semester 2003 (Day)
Clayton First semester 2004 (Day)

Synopsis: Vector spaces, linear transformations. Determinants, eigenvalue problems. Inner products, symmetric matrices, quadratic forms. Jacobi iteration, Gauss-Seidel iteration, least squares approximation, power method. Applications to coding, computer graphics, geometry, dynamical systems, Markov chains, differential equations.

Assessment: Examination (3 hours): 70% + Assignments: 20% + Laboratory work: 10%.

Contact Hours: Three 1-hour lectures and one 1-hour support class per week

Prerequisites: MTH1030 or MAT1841 or equivalent

Prohibitions: MAT2020, MAT2912 or GAS2613

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