- Code ENVS6103
- Unit Value 6 units
- Offered by Fenner School of Environment and Society
- ANU College ANU Joint Colleges of Science
- Course subject Environmental Science
- Areas of interest Forestry, Geography, Interdisciplinary Studies - Sustainability, Resource Management and Environmental Science, Environmental Studies More...
Effective research involves collecting and analysing appropriate data as well as successfully communicating the results. This course uses a problem-focussed approach to introduce fundamental research concepts by exploring how researchers describe and quantify vegetation communities, animal populations as well as human attitudes and behaviour. You can expect to develop skills in ecological measurement and sampling as well as in designing and conducting social research projects. You will also develop analytical skills, including data exploration, as well as effective communication and analysis techniques common to all sciences. The course promotes learning through a combination of lectures as well as field- and computer-based practical exercises. During field-based exercises you will gain first-hand experience in collecting ecological data. You will apply this data and your analytical skills to the issue of kangaroo populations and culling.
Note: Graduate students attend joint classes with undergraduates but are assessed separately.
Upon successful completion, students will have the knowledge and skills to:
On satisfying the requirements of this course, students will have the knowledge and skills to:
- demonstrate a conceptual understanding of measurement approaches in ecological studies (LO1)
- identify and critically evaluate the main mathematical approaches to describing populations and growth in organisms (LO2)
- demonstrate an ability to apply concepts and methods of quantitative analysis, including regression, in the context of environmental data. (LO3)
- quantitatively describe linear trends within datasets to effectively summarise quantitative datasets (LO4)
- demonstrate a capacity to effectively communicate model outputs to a scientific/management community (LO5)
- four quantitative short reports/quizzes focusing on analysis and interpretation of environmental datasets, 20%).
- a scientific journal article based upon interpretation of field-based fauna and flora as well as analysis of sampling methodologies and comparative methods that aims to provide the opportunity to integrate knowledge of measurement, analysis and presentation to a scientific audience (5 pages, 20%).
- a brief article to practice communicating research findings from field-based practical exercises to a non-technical audience (2 pages, 15%).
- a series of survey and group exercises to provide experience in the design and conduct of surveys as well as analysis and communication of survey findings (25%).
- a final exam (20%)
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60 contact hours, including lectures, practical classes and tutorials.
Requisite and Incompatibility
To be advised.
No specific knowledge required.
Areas of Interest
- Interdisciplinary Studies - Sustainability
- Resource Management and Environmental Science
- Environmental Studies
- Population Studies
Tuition fees are for the academic year indicated at the top of the page.
If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
- Student Contribution Band:
- Unit value:
- 6 units
If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees. Where there is a unit range displayed for this course, not all unit options below may be available.
Offerings, Dates and Class Summary Links
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|7845||24 Jul 2017||31 Jul 2017||31 Aug 2017||27 Oct 2017||In Person||N/A|