Biometry (BIOL90002)
Graduate courseworkPoints: 12.5On Campus (Parkville)
About this subject
Contact information
June
Jan Carey: janetmc@unimelb.edu.au
Michael Keough: mjkeough@unimelb.edu.au
Overview
| Availability | June |
|---|---|
| Fees | Look up fees |
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
The objectives of this subject are to provide students with:
- familiarity with the kinds of data generated by biological and environmental research programs;
- the skills to design efficient sampling programs and experiments in biological science ;
- an awareness of biological issues that may cause statistical complications;
- an understanding of the statistical models that are applied to different kinds of biological data;
- be able to 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
Additional details
Two reports, of similar weighting and totalling less than 3,000 words, one due early in the assessment period and the other toward the end of the assessment period (30%); a 2-hour examination at the end of the assessment period (70%).
Last updated: 3 November 2022
Dates & times
- June
Principal coordinator Jan Carey 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 28 June 2018 to 28 July 2018 Last self-enrol date 4 July 2018 Census date 13 July 2018 Last date to withdraw without fail 10 August 2018 Assessment period ends 28 August 2018 June contact information
Jan Carey: janetmc@unimelb.edu.au
Michael Keough: mjkeough@unimelb.edu.au
Last updated: 3 November 2022
Further information
- Texts
- Subject notes
- Related Handbook entries
This subject contributes to the following:
Type Name Course Bachelor of Agriculture (Degree with Honours) Course Master of Science (BioSciences) Course Master of Science (Ecosystem Science) Informal specialisation Landscape Management Major Conservation and Restoration Major Conservation and Restoration Informal specialisation Honours Program - BioSciences Major Honours Program - Food Science Major Honours Program - Veterinary Bioscience Major Sustainable Forests Major Sustainable Forests Major Tailored Specialisation Major Tailored Specialisation Major Conservation and Restoration Major Honours Program - Animal Science and Management Major Tailored Specialisation Informal specialisation Botany Major Botany Major Tailored Specialisation Major Honours Program - Veterinary Bioscience Major Tailored Specialisation Major Honours Program - Forest Science Informal specialisation Honours Program - BioSciences Major Tailored Specialisation Major Honours Program - Agricultural Science - 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.
Last updated: 3 November 2022