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Found 52 matching student topics

Displaying 49–52 of 52 results

Developing teacher capability in statistical reasoning and modelling

This project investigates how teachers develop confidence and capability in teaching statistics, probability, and modelling. It focuses on strengthening pedagogical and content knowledge in complex mathematical domains.This project builds on extensive experience in pre-service teacher education and research on strengthening statistical reasoning and conceptual understanding.

Study level
PhD, Master of Philosophy
Faculty
Faculty of Creative Industries, Education and Social Justice
School
School of Education

Coarse-grained molecular dynamics modelling in expansive soil

Expansive soil/active soil has wide applications in geotechnical engineering and other engineering disciplines due to its desirable special properties - for example, low permeability and swelling pressure under saturated condition. But these materials are highly susceptible to experiencing huge volume change and even damage due to moisture content reduction. However, the underlying mechanism of this phenomenon is still not clear for geotechnical engineers. Therefore, there is no optimum solution available to solve the problem.In this project, a special modelling approach …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Engineering
School
School of Civil and Environmental Engineering
Research centre(s)
Centre for Materials Science

Synergic identification of prestress force, moving force and interfacial force for corroborative substructural modelling

We are looking for an appropriate PhD candidate working for a recently awarded ARC Discovery Project. The PhD candidate will work on the further improvement of the previously developed Synergic identification of prestress force [1] and moving force applying to continuous supported prestressed concrete bridges using regularisation techniques [2-7] and corroborative substructural modelling.

Study level
PhD
Faculty
Faculty of Engineering
School
School of Civil and Environmental Engineering

Conservation is a noisy business: modelling the effects of stochasticity on wildlife management decisions

To conserve species in disturbed natural environments, we need to use mathematical models to predict the consequences of different interventions. Unfortunately, these models are based on partial information of complex systems, and the systems themselves are subject to substantial observational and process noise.We often use ordinary differential equations to describe ecosystems, like the classic logistic growth model:dn/dt = r n (1 - n / k)However, these models are deterministic, and they assume we know the values of the key parameters …

Study level
Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science
Centre for the Environment

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