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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
Course Aims:to be proficient in the basic methods of linear and matrix algebrato be able to use these methods and Python to solve problems in engineeringto be able to use these methods and Python to discover structures and patterns in engineering datato develop written and oral communication skills, emphasizing the ability to explain what the mathematics means
Subject to approval of the Dean of Engineering and Forestry. RP: EMTH210
EMTH203, EMTH204, MATH203, MATH254, MATH252, MATH251
Heyang (Thomas) Li
To pass this course you must obtain a final mark of at least 50% and obtain at least 40% in the final examination.
Linear algebra :a modern introduction
Cengage Learning, 2015 (2nd, 3rd, or 4th edition suitable).
General information for students
Domestic fee $1,002.00
International fee $5,625.00
* 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