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Research Methods for Life Science (AGRI20028)
Undergraduate level 2Points: 12.5On Campus (Parkville)
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Semester 1
Dr Peter Ades petera@unimelb.edu.au
Overview
Availability | Semester 1 |
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Fees | Look up fees |
This subject provides students with an introduction to a number of statistical techniques which are frequently used in agriculture, science and business situations. Course content will be set within the context of practical problems. Technology will be used to support statistical calculations.
Topics include an introduction to sampling techniques and experimental design; descriptive treatment of sample data; introduction to elementary probability and distributions; estimation and hypothesis testing of means and proportions; the chi-square distribution; simple and multiple regression and correlation; one-factor and two-factor analysis of variance; and use of statistical computer packages.
Intended learning outcomes
The objectives of this subject are to provide students with:
- a basic understanding of how to ask and answer questions in agricultural, biological and business research,
- familiarity with the kinds of data generated in research,
- an understanding of the statistical models and analyses that can be applied to different kinds of biological and business data, and
- able to interpret and present results of statistical analyses.
Generic skills
Students should progressively acquire generic skills from this subject that will assist them in any future career path. These include
• problem-solving skills: the ability to engage with unfamiliar problems and identify relevant solution strategies;
• analytical skills: the ability to construct and express logical arguments and to work in abstract or general terms to increase the clarity and efficiency of analysis;
• time management skills: the ability to meet regular deadlines while balancing competing commitments.
Last updated: 27 April 2024
Eligibility and requirements
Prerequisites
Code | Name | Teaching period | Credit Points |
---|---|---|---|
MAST10002 | Data & Decisions | Not available in 2024 |
12.5 |
Corequisites
None
Non-allowed subjects
None
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: 27 April 2024
Assessment
Additional details
A 3-hour final examination (60%),
Answers to four problem sets equivalent to 1000 words, due in weeks 4, 6, 8 and 12 (40%)
Last updated: 27 April 2024
Dates & times
- Semester 1
Principal coordinator Peter Ades Mode of delivery On Campus (Parkville) Contact hours Twenty-four hours of lectures and 36 hours of tutorials and practicals Total time commitment 170 hours Teaching period 27 February 2017 to 28 May 2017 Last self-enrol date 10 March 2017 Census date 31 March 2017 Last date to withdraw without fail 5 May 2017 Assessment period ends 23 June 2017 Semester 1 contact information
Dr Peter Ades petera@unimelb.edu.au
Time commitment details
170 hours
Last updated: 27 April 2024
Further information
- Texts
Prescribed texts
Essential Statistics (D G Rees), 4th edn, Chapman and Hall, 2001
- Related Handbook entries
This subject contributes to the following:
Type Name Major Sustainable Production Major Production Animal Health - Breadth options
This subject is available as breadth in the following courses:
Last updated: 27 April 2024