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A linear/matrix algebra course using MATLAB, with engineering applications and a component of statistics for engineers.
This is a second semester course for students doing electrical, mechatronics or computer engineering. Themes include:• using geometry to understand the behaviour of vectors, matrices and random variables• the language of linear algebra (new words to describe the relationships between vectors and spaces)• matrix factorizations (understanding matrices in terms of simpler matrices)Topics include:• more about systems of linear equations (LU factorizations, error estimates, iterative methods)• applications of eigenvalues and eigenvectors (including Markov chains, population modelling and recurrence relations)• projections onto subspaces, and QR-factorizations, with applications to finding least squares solutions• linear regression and measuring goodness-of-fit
to be proficient in the basic methods of linear and matrix algebrato be able to use these methods and MATLAB to solve problems in engineeringto be able to use these methods and MATLAB to discover structures and patterns in engineering datato develop written and oral communication skills, emphasizing the ability to explain what the mathematics means
RP: EMTH210
EMTH203, EMTH204, MATH203, MATH254, MATH252, MATH251
EMTH210
Mark Hickman
Dominic Lee and Maarten McKubre-Jordens
EMTH211 homepage LEARN
Domestic fee $808.00
International fee $4,550.00
* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.
For further information see Mathematics and Statistics .