Quantitative skills are among the fundamental tools of professional ecologists and other biologists. They are necessary to design their studies, analyse and interpret their data, and to assess and interpret published studies. This unit provides a solid grounding in appropriate ways to collect and analyse common types of data in biology and ecology. It emphasises hands-on, practical experience with commonly used statistical software and addresses the problems most often encountered in dealing with biological and ecological data. The unit covers basic sampling and experimental design, data analysis using standard univariate techniques (e.g. analysis of variance and covariance, regression, analysis of categorical data) and introduces multivariate techniques for both pattern exploration and hypothesis testing. This unit is strongly recommended for ecology, biology and environmental science students and those considering Honours.
|Unit name||Quantitative Methods in Biology|
|Faculty/School||College of Sciences and Engineering
Institute for Marine & Antarctic Studies
|Discipline||College Office - CSE|Ecology and Biodiversity|
Assoc Prof Julia Blanchard (Coordinator)
Assoc Prof LA Barmuta, Dr Emma Cavan
|Available as student elective?||Yes|
|Location||Study period||Attendance options||Available to|
- 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.
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|Study Period||Start date||Census date||WW date||End date|
* 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: $2,200.00||010901|
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.
KPZ164 and KPZ211 or equivalence in terms of Introductory statistics at discretion of Unit Coordinator
You cannot enrol in this unit as well as the following:
2 x 1-hr lectures, 4-hr practical weekly
3-hr exam in June (60%), practical reports (40%)
|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.