Note: This is an archived Handbook entry from 2012.
|Dates & Locations:|| |
This subject has the following teaching availabilities in 2012:Semester 1, Parkville - Taught on campus.
Timetable can be viewed here. For information about these dates, click here.
|Time Commitment:||Contact Hours: 2 x 1-hour lectures each week and 6 x 3-hour practical (computer laboratory) classes (42 hours in total) |
Total Time Commitment:
|Prerequisites:|| 600-615 Thinking and Reasoning with Data or equivalent statistical subject |
Study Period Commencement:
|Recommended Background Knowledge:||None|
|Non Allowed Subjects:||None|
|Core Participation Requirements:||
It is University policy to take all reasonable steps to minimise the impact of disability upon academic study and reasonable steps will be made to enhance a student’s participation in the University’s programs. Students who feel their disability may impact upon their active and safe participation in a subject are encouraged to discuss this with the relevant subject coordinator and the Disability Liaison Unit.
CoordinatorDr Joslin Moore
Dr Brendan Wintle
Dr Michael McCarthy
|Subject Overview:||Modelling is a fundamental component of Environmental Science, being used for prediction, monitoring, auditing, evaluation, and assessment. This subject introduces students to a wide range of models used by environmental scientists including models of climate change, population dynamics, pollution, hydrology, habitat and species distributions. Both deterministic and stochastic models are used as examples. The subject explains how to develop conceptual models that can then be quantified and analysed using mathematical and statistical methods. Topics covered include development of the basic model structure, estimation of parameters and calibration, methods of analysis, sensitivity analysis, model evaluation and model refinement. The subject teaches students how to simplify apparently complex problems.|
The subject aims to provide students with:
|Prescribed Texts:|| |
To be confirmed
Environmental Modelling: Finding Simplicity in Complexity (Wainwright and Mulligan)
Bayesian Methods for Ecology (McCarthy)
|Breadth Options:|| |
This subject is not available as a breadth subject.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
Generic skills gained from this subject include:
Environmental Science |
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