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MA3050 - Environmental and Biological Modelling
|Student Contribution Band:
||School of Engineering
This subject will examine in detail mathematical models of population ecology, biochemical
kinetics, physiological problems, blood flow and spatial characteristics of the spread
of pollutants and of disease as well as applications in groundwater flow and marine
science (including ideas from basic oceanography). Mathematical techniques covered
may include regular and singular perturbation theory, conservation laws and dimensional
analysis, complex variables and partial differential equations. Numerical analysis
will be incorporated throughout the subject as it is required.
- understanding of the use of mathematics in modelling environmental and biological
processes. This includes consideration of temporal and spacial aspects;
- understanding of the mathematical techniques required to analyse the models developed.
- The ability to adapt knowledge to new situations;
- The ability to define and to solve problems in at least one discipline area;
- The ability to think critically, to analyse and evaluate claims, evidence and arguments,
and to reason and deploy evidence clearly and logically;
- The ability to deploy critically evaluated information to practical ends;
- The ability to find and access information using appropriate media and technologies;
- The ability to evaluate that information;
- The ability to select and organise information and to communicate it accurately, cogently,
coherently, creatively and ethically;
- The acquisition of coherent and disciplined sets of skills, knowledge, values and
professional ethics from at least one discipline area;
- The ability to reflect on and evaluate learning, and to learn independently in a self
- The ability to read complex and demanding texts accurately, critically and insightfully;
- The ability to generate, calculate, interpret and communicate numerical information
in ways appropriate to a given discipline or discourse;
- The ability to work individually and independently;
- The ability to select and use appropriate tools and technologies.
Study Period 1,
|Census Date 22-Mar-2012
||Dr Darcy Mullamphy
- 39 hours lectures
- 13 hours tutorials
||end of semester exam (50% - 70%); other exams (% - 20%); assignments (30% - 50%).
Minor variations might occur due to the continuous Subject quality improvement process,
and in case
of minor variation(s) in assessment details, the Subject Outline represents the latest