This unit presents a range of advanced statistical and data analysis techniques used in the marine sciences for students with an existing background in quantitative analysis. 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 correlation, lags, interpolation and filtering techniques, spatial analyis methods (principal component analysis, empirical orthogonal functions, optimal interpolation). The lecture material is complemented by practical sessions using a number of different softare packages, such as R, WINBUGS, Python, with exercises using oceanographic, fisheries, and other marine data sets.
|Unit name||Data Analysis Methods|
|Faculty/School||College of Sciences and Engineering
Institute for Marine & Antarctic Studies
|Discipline||Ecology and Biodiversity|Oceans and Cryosphere|
Dr Simon Wotherspoon
|Available as student elective?||No|
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TNE Program units special approval requirements.
* 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).
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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