Biometry (BIOL90002)
Graduate courseworkPoints: 12.5On Campus (Parkville)
For information about the University’s phased return to campus and in-person activity in Winter and Semester 2, please refer to the on-campus subjects page.
Please refer to the LMS for up-to-date subject information, including assessment and participation requirements, for subjects being offered in 2020.
Overview
| Availability | July |
|---|---|
| Fees | Look up fees |
This subject may require either partial or full attendance in person over the winter intensives period. For more information please check the LMS.
Biological knowledge is increased by an iterative process of developing ideas, collecting data to assess those ideas, analysing and interpreting those data, and communicating the conclusions. Those conclusions are used to develop new research ideas, improve human health, and to make decisions about environmental management. For this process to be successful, we must collect the right data, enough data, and we must analyse and interpret those data correctly. Biologists must also be able to interpret colleagues’ analyses and interpretation critically.
This subject provides recommendations on appropriate was of collecting data, introduces the most common statistical tools applied to biological (including biomedical and environmental) data, and discusses ways of interpreting and presenting the results of analyses. Topics covered include strategies for efficient and effective estimation, the design of routine monitoring and assessment programs, and experimental design. It will also cover the most common statistical methods used for biological data, including general linear models, logistic and log-linear models, and multivariate techniques, and emphasis will be placed on interpretation and reporting of data analyses.
Intended learning outcomes
At the completion of this subject, students should be able to:
- Demonstrate an understanding of the data generated by biological and environmental research programs;
- Design efficient sampling programs and experiments in biological science;
- Identify biological issues that may cause statistical complications;
- Apply statistical models to different kinds of biological data;
- Present and interpret results of analyses.
Generic skills
At the completion of this subject, students should gain skills in:
- handling, managing and interpreting quantitative data;
- communicating quantitative results to a general audience;
- developing the ability to exercise critical judgement;
- rigorous and independent thinking;
- time management and self-management.
Last updated: 3 November 2022
Eligibility and requirements
Prerequisites
None
Corequisites
None
Non-allowed subjects
None
Recommended background knowledge
Basic understanding of statistical inference, obtained by completion of appropriate undergraduate or postgraduate subjects, or completion of preparatory multimedia material and reading.
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 3 November 2022
Assessment
Due to the impact of COVID-19, assessment may differ from that published in the Handbook. Students are reminded to check the subject assessment requirements published in the subject outline on the LMS
| Description | Timing | Percentage |
|---|---|---|
A written report, up to 1500 words
| 1 Weeks after the end of teaching | 15% |
A written report, up to 1500 words
| 3 Weeks after the end of teaching | 15% |
A 2 hr written examination - open book
| End of the assessment period | 70% |
Last updated: 3 November 2022
Dates & times
- July
Principal coordinator Allyson O'Brien Coordinator Michael Keough Mode of delivery On Campus (Parkville) Contact hours 48 hours over eight days, comprising twenty-four 1-hour lectures and eight 3-hour tutorials. Teaching period 22 July 2020 to 30 July 2020 Last self-enrol date 23 July 2020 Census date 30 July 2020 Last date to withdraw without fail 14 August 2020 Assessment period ends 30 August 2020
Last updated: 3 November 2022
Further information
- Texts
- Subject notes
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Science (BioSciences) Course Master of Science (Ecosystem Science) Course Bachelor of Agriculture (Degree with Honours) Informal specialisation BioSciences Informal specialisation BioSciences Major Botany Major Conservation and Restoration Major Conservation and Restoration Major Tailored Specialisation Major Tailored Specialisation Major Tailored Specialisation Major Sustainable Forests Major Sustainable Forests Informal specialisation Landscape Management - Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Please note Single Subject Studies via Community Access Program is not available to student visa holders or applicants
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
- Available to Study Abroad and/or Study Exchange Students
Last updated: 3 November 2022