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This is a core course that provides key mathematical tools for modelling and analysing engineering problems. These tools represent a balance of stochastic and deterministic modelling approaches along with their mathematical underpinnings. Topics include random variables and distributions; analytical and numerical solution methods for linear systems of ordinary differential equations including Laplace transform techniques; sensitivity analysis, optimization, curve-fitting and interpolation for data sets.
|2017||Semester one full semester||Internal||Manawatu Campus|
|2017||Semester one full semester||Internal||Auckland Campus|
|2018||Semester one full semester||Internal||Manawatu Campus|
|2018||Semester one full semester||Internal||Auckland Campus|
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