This subject provides students with hands-on mathematical modelling skills for problems that involve dynamical systems. Emphasis will be on mathematical/computer models that will be parameterized with real-world data, such that they can be used to learn about or predict changes over time in the real world. The modelling skills and mathematical techniques learned can be applied to many areas, and we will look at examples from disciplines such as ecology and demography (population growth and decline over time), social sciences (changes among social states), physical models and epidemiology (spread of infectious diseases). You will gain experience in applying mathematical models to real-world problems, by going through the steps of the modelling cycle: from translating a societal or scientific question into a mathematical model to analysing the model and interpreting the results in the context of the original problem. This subject is suitable for students interested in postgraduate industry work or in a research pathway that involves modelling, and for students interested in (applied) mathematics (incl. education, engineering, biology).

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[Pre-requisite] MA2000 AND (MA2210 OR MA2201)

[Pre-requisite] MA2000 AND (MA2210 OR MA2201) Offerings: All

Some computer programming skills (MatLab, R, or any other language) is useful, students lacking this skill are expected to follow a bootcamp at start of subject.

Some computer programming skills (MatLab, R, or any other language) is useful, students lacking this skill are expected to follow a bootcamp at start of subject. Offerings: All

MA3211 - Mathematical Modelling of Dynamic Systems

Mathematical Modelling of Dynamic Systems

Parameterize a model with real data, also utilizing tools from statistics/ probability theory and validate models and interpret their outcomes, recognising strengths and limitations

Construct a mathematical model and employ analytical, graphical, and computational tools, to analyse the behaviour of models under changing conditions, particularly by solving difference and differential equations

Translate a verbal problem into an algebraic, numerical, visual or conceptual model of a system that can be analysed to understand and predict changes in natural systems over time