Note: This is an archived Handbook entry from 2009. Search for this in the current handbook
|Dates & Locations:|| |
This subject has the following teaching availabilities in 2009:Semester 1, - Taught on campus.
Timetable can be viewed here. For information about these dates, click here.
|Time Commitment:||Contact Hours: 24 hours of lectures, 24 hours of tutorials (4 hours per week) |
Total Time Commitment: Not available
|Prerequisites:||Eligibility for honours or postgraduate degree|
|Recommended Background Knowledge:||None|
|Non Allowed Subjects:||None|
|Core Participation Requirements:||It is University policy to take all steps to minimise the impact of disability upon |
academic study, and reasonable adjustments will be made to enhance a student's
participation in the University's programs. This course requires all students to
enrol in subjects where they must actively and safely contribute to laboratory
activities and field trips. Students who feel their disability will impact on
meeting this requirement are encouraged to discuss this matter with the Subject
Coordinator and Disability Liaison Unit.
CoordinatorProf Frank Rowland Dunshea
|Subject Overview:||This subject should give students knowledge of a range of research methodologies and underlying philosophies, and sophisticated statistical tools to design laboratory and field experiments and field surveys, and effectively and appropriately analyse these data sets in agriculture, horticulture and land management. Upon completion of the subject, students should be able to: formulate research questions and hypotheses, and implement hypotheses testing, to satisfy research needs in different disciplines, including field research and economics; recognise, understand and apply concepts of study design (such as observational studies versus designed experiments, confounding, replication, randomisation, and blocking), and discuss the effect of design concepts on the interpretation of results; determine the appropriate statistical methodology to use, including parametric and non-parametric methods, and confirm that data sets meet the underlying assumptions of the statistical model chosen; display an understanding of the purpose and limitation of inference, and be able to use the main tools of inference to analyse and interpret data; and interpret statistical program outputs in agricultural, horticultural and land management contexts.|
|Assessment:||A 3-hour end of semester examination (50%), one integrated assignment of up to 3500 words or equivalent (50%) – week 10.|
|Breadth Options:|| |
This subject is not available as a breadth subject.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
Master of Agricultural Science |
Master of Animal Science
Master of Urban Horticulture
Postgraduate Diploma in Agricultural Science
Postgraduate Diploma in Animal Science and Management
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