About the course
The Master of Computational Modelling is a Master degree by research drawing on the resources of the School of Computing and Mathematics and the International Centre of Water for Food Security.
The course is suited to students with an interest in mathematical aspects of modelling, statistics, spatial science, hydrology or information technology.
Examples of research conducted at CSU in these areas include:
* farm and regional scale integrated hydrologic economic and salinity modelling using complex approaches such as control theory, genetic algorithms, space state reduction and socio-economic integration
* surface-groundwater interaction and quality management and modelling
* GIS and remote sensing applications in spatial hydrology
* hydrological modelling and database development
* environmental law and economics integration for sustainable development..
Aims and objectives
The primary aims of the program are to:
* provide a grounding in the theory and techniques of computational modelling
* produce graduates capable of successfully completing research which results in a distinct contribution to knowledge.
Upon completion of the course, graduates will be able to:
* solve ordinary and partial differential equations using various methods
* write computer programs and/or use software to solve problems
* appreciate the utility and limitations of numerical solutions
* identify various types of errors inherent in all experimental data and numerical calculations
* use numerical algorithms to deal with a wide range of problems ranging from the computation of theoretical solutions to the practical analysis of experimental data
* apply techniques of computational modelling to real-world problems
Articulation and credit
No credit is allowed for any of the subjects in the Master of Computational Modelling.
To graduate, students must complete 32 points at Pass level or better in the core subjects, and complete a thesis worth 96 points to the satisfaction of the Board of Graduate Studies.