Start and finish dates may change subject to staff availability, refer to the QMS website for further details. http://www.imas.utas.edu.au/qms/qms-unit-information
This unit introduces a range of statistical and data analysis techniques used in the marine sciences. The course covers concepts of generalised linear models (GLMs), generalised additive models (GAMs), Bayes rules, bayesian versus frequentist interpretation, Markov chain Monte Carlo fundamentals, hierarchical models, bootstrap, permutation and cross validation tests. An introduction to time series and spectral analysis is given covering filtering, convolution, correlation, lags, interpolation and filtering techniques, spatial analyis methods (principal component analysis, empirical orthogonal function, optimal interpolation). The lecture material is complemented by practical sessions using a number of different softare packages, such as R, WINBUGS, Matlab, with exercises using oceanographic, fisheries, and other marine data sets.
|Unit name||Data Analysis Methods|
Institute for Marine & Antarctic Studies
|Discipline||Centre for Ecology and Biodiversity|Centre for Oceans and Cryosphere|
Dr Simon Wotherspoon
|Available as student elective?||No|
This unit is currently unavailable.
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* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (see withdrawal dates explained for more information).
Unit census dates currently displaying for 2016 are indicative and subject to change. Finalised census dates for 2016 will be available from the 1st October 2015.
|Band||Field of Education|
Fees for next year will be published in October. The fees above only apply for the year shown.
Please note: international students should refer to this page to get an indicative course cost.
1 week intensive course (5 days) consisting of lectures and tutorial classes. Typically there will be 15-20 hours of lectures and 15-20 hours of tutorial classes.
Submittable laboratory/class work (60%) and a project report (40%). Students must pass both components to pass the unit.
|Timetable||View the lecture timetable | View the full unit timetable|
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