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.
WEIGHT:
12.5%
ASSESSMENT: submittable laboratory/class work (60%) and a project report (40%). Students must pass both components to pass the unit.
TEACHING PATTERN: 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.
STAFF: Prof Richard Coleman (unit coordinator), other University staff and external lecturers from marine institutes
Units are offered in attending mode unless otherwise indicated (that is attendance is required at the campus identified). A unit identified as offered by distance, that is there is no requirement for attendance, is identified with a nominal enrolment campus. A unit offered to both attending students and by distance from the same campus is identified as having both modes of study.
Campus - H Hobart, L Launceston, W Burnie. Study Centre - V Sydney, R Rozelle. Distance units may also have a campus identifier of I Isolated, N Interstate, O Overseas. Units delivered in Transnational Education (TNE) Programs have a campus identifier of A Hangzhou, F Fuzhou, G Shanghai, J Indonesia, K KDU Malaysia, Q Kuwait or Z New Zealand.
Special approval is required for enrolment into TNE Program units - campuses A, F, G, J, K, Q and Z click here for more information.
