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This course provides students with advanced skills to undertake analysis of data in the health and biosecurity context. Techniques covered include linear mixed models, spatial techniques, time series and meta-analysis. Students will work with data collected during epidemiological studies with examples and case studies drawn from a range of species including humans, production animals, aquatic species, companion animals, horses wildlife and plants.
Note: You may enrol in a postgraduate course (that is a 700-, 800- or 900-level course) if you meet the prerequisites for that course and have been admitted to a qualification which lists the course in its schedule.
The last day to withdraw from this course:
* This fee information is for estimation purposes only and includes New Zealand Goods and Services Tax. Actual fees payable will be finalised on confirmation of enrolment. The estimate does not include non-tuition fees. To view an estimate showing both tuition and non-tuition fees use the Fees Calculator. These fees only apply 2017 enrolments.
Students who successfully complete this course should be able to:
Please note: Learning Outcomes are subject to change until the beginning of the semester in which the course is delivered.
During this course, the following assessments will contribute to your final mark.
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Please note: Assessment weightings are subject to change until the beginning of the semester in which the course is delivered.
* Specific dates for assessments will be finalised in information provided on Stream at the start of the Course.
To successfully complete students must obtain a mark of greater than 50% for the assessments.
There are no set texts for this course.
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