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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 algebra to be able to use these methods and MATLAB to solve problems in engineering to be able to use these methods and MATLAB to discover structures and patterns in engineering data to develop written and oral communication skills, emphasizing the ability to explain what the mathematics means
This course will provide students with an opportunity to develop the Graduate Attributes specified below:
Critically competent in a core academic discipline of their award
Students know and can critically evaluate and, where applicable, apply this knowledge to topics/issues within their majoring subject.
EMTH203, EMTH204, MATH203, MATH254, MATH252, MATH251
and Dominic Lee
Domestic fee $777.00
International fee $4,375.00
* Fees include New Zealand GST and do not include any programme level discount or additional course related expenses.
For further information see
Mathematics and Statistics.