Availabilities:
2024 unit offering information will be available in November 2023
Unit description
Allows Masters students to undertake a major individual investigation that involves the application of multidisciplinary skills, and to prepare a report with a research focus or integrated management focus. Masters students are encouraged to submit an article to a refereed journal if they complete this unit and the preceding unit Research Project I. Research Project II is a double weighted unit.
Unit content
This is an independent research unit and there is no formal syllabus. On completion of Research Project II students should be able to conduct independent research from conception to completion.
Learning outcomes
Unit Learning Outcomes express learning achievement in terms of what a student should know, understand and be able to do on completion of a unit. These outcomes are aligned with the graduate attributes. The unit learning outcomes and graduate attributes are also the basis of evaluating prior learning.
| On completion of this unit, students should be able to: | |
|---|---|
| 1 | frame a research question, develop aims and associated testable hypotheses |
| 2 | plan and design an experimental research project |
| 3 | critically evaluate and apply considerations needed when experimenting with live animals including applying animal ethics in research |
| 4 | select and apply appropriate statistics for analyses of specific datasets |
| 5 | organise and manage resource and time priorities and work as a team with fellow scholars |
| 6 | demonstrate the ability to interpret the results of field work/experiments with special consideration to the scientific literature. |
On completion of this unit, students should be able to:
- frame a research question, develop aims and associated testable hypotheses
- plan and design an experimental research project
- critically evaluate and apply considerations needed when experimenting with live animals including applying animal ethics in research
- select and apply appropriate statistics for analyses of specific datasets
- organise and manage resource and time priorities and work as a team with fellow scholars
- demonstrate the ability to interpret the results of field work/experiments with special consideration to the scientific literature.
Teaching and assessment
Fee information
Domestic
Commonwealth Supported courses
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Fee paying courses
For postgraduate or undergraduate full fee paying courses please check Domestic Postgraduate Fees OR Domestic Undergraduate Fees
International
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