33230 Mathematical Modelling 26cp; 2 x 1.5hpw (lecture, online), 1hpw (tutorial), 3 x 1hr (computer lab)
Requisite(s): 33130 Mathematical Modelling 1 OR 33190 Mathematical Modelling for Science
Anti-requisite(s): 33290 Statistics and Mathematics for Science AND 35101 Introduction to Linear Dynamical Systems AND 35102 Introduction to Analysis and Multivariable Calculus AND 35151 Introduction to Statistics AND 37131 Introduction to Linear Dynamical Systems AND 37132 Introduction to Mathematical Analysis and Modelling AND 37151 Introduction to Data Analysis AND Spks Between C10154 and C10158
This subject consists of two parts: multivariate calculus and an introduction to statistics. The mathematical part develops the mathematical skills required for mathematical modelling of systems involving more than one independent variable. The statistics part is an introduction to descriptive statistics, statistical inference and simple linear regression. Topics include linear algebra, solutions to sets of equations resulting from particular problems, eigenvectors and eigenvalues, partial derivatives, optimisation, multiple integrals and their applications, and probability with a focus on the determination of the reliability of a system of components in various engineering contexts.
Autumn session, City campus
Spring session, City campus
Detailed subject description.
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- Subject EFTSL: 0.125