Courses & Units

Data Analysis Methods QMS517

Hobart

Note:

This unit will be block taught from 9th to 13th July.

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.

Introduction

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.

Summary

Unit name Data Analysis Methods
Unit code QMS517
Credit points 12.5
Faculty/School IMAS
Institute for Marine & Antarctic Studies
Discipline Centre for Ecology and Biodiversity|Centre for Oceans and Cryosphere
Coordinator

Dr Simon Wotherspoon

Teaching staff

Dr Simon Wotherspoon, other University staff and external lecturers from marine institutes

Level Postgraduate
Available as student elective? No
Breadth Unit? No

Availability

Location Study period Attendance options Available to
Hobart Winter school (late) On-Campus International Domestic

Key

On-campus
Off-Campus
International students
Domestic students
Note

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.

TNE Program units special approval requirements.

Key Dates

Study Period Start date Census date WW date End date
Winter school (late) 25/6/2018 13/7/2018 6/8/2018 15/9/2018

* 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 2018 are indicative and subject to change. Finalised census dates for 2018 will be available from the 1st October 2017.

About Census Dates

Fees

Domestic

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.

Requisites

Teaching

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.

Assessment

Submittable laboratory/class work (60%) and a project report (40%). Students must pass both components to pass the unit.

TimetableView the lecture timetable | View the full unit timetable

Textbooks

Required

Recommended

Co-op Bookshop links

The University reserves the right to amend or remove courses and unit availabilities, as appropriate.