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
QMS units are designed for postgraduate students with a strong background in quantitative analysis, mathematics, physics and chemistry.
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|
|Location||Study period||Attendance options||Available to|
|Hobart||Winter school (late)||On-Campus||International||Domestic|
- International students
- Domestic students
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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.
Special approval is required for enrolment into TNE Program units.
|Study Period||Start date||Census date||WW date||End date|
|Winter school (late)||24/6/2019||12/7/2019||5/8/2019||15/9/2019|
* 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 2019 are indicative and subject to change. Finalised census dates for 2019 will be available from the 1st October 2018.
|Band||CSP Student Contribution||Full Fee Paying (domestic)||Field of Education|
|2||2019: $1,169.00||2019: $2,321.00||010103|
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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The University reserves the right to amend or remove courses and unit availabilities, as appropriate.