- Code ENVS1003
- 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 Classics and Ancient History , Cultural Studies, Drama, Health, Medicine and the Body, Public Health
- Work Integrated Learning Fieldwork
In environment and sustainability fields, research plays a major role in identifying the response of human and natural systems to spatial and temporal differences, disturbances and management actions. Achieving these research outcomes relies upon establishing research questions and testable hypotheses, applying appropriate data collection and analysis methods, critically assessing results, and effectively communicating the observations. That process is common to all science-based disciplines.
ENVS1003 uses a PPDAC (Problem, Plan, Data, Analysis, Conclusion) cycle to introduce fundamental research concepts. You can expect to develop skills in ecological measurement and sampling, and designing and conducting surveys and experiments. You will also develop analytical skills, including data exploration and effective communication and analysis techniques common to all sciences. The course promotes learning through a combination of lectures, and field-/computer-based practical exercises. During field-based exercises you will gain first-hand experience in collecting ecological and social data.
Honours Pathway Option
The program explores cross disciplinary research skills and focusses on kangaroo management within eastern Australia. The program typically involves five two-hour workshops and a presentation evening. The expressions-of-interest will be sought at the commencement of the semester.
Upon successful completion, students will have the knowledge and skills to:
- Demonstrate conceptual understanding of inferential statistics and hypothesis testing.
- Interpret quantitative research results reported within scientific literature.
- Summarise data to identify effects and trends.
- Demonstrate understanding of experimental and research design.
- Apply the principles of sampling techniques in the environmental and social sciences.
- Demonstrate a capacity to communicate research results effectively to the scientific and non-technical audiences.
Work Integrated Learning
Students may engage with WIL partners (internal/external) as a component of the course
- Four online quizzes reflecting lecture content and analysis of ecological data (40) [LO 1,2,3,4]
- Research summary focussed on a social experiment (30) [LO 2,5,6]
- An end of semester online exam. (30) [LO 1,2,3,6]
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The expected workload will consist of approximately 130 hours throughout the semester including:
- Face-to face component which may consist of 2 x 1 hour lectures plus 1 x 3 hour field, discussion and computer-based practical per week.
- Approximately 70 hours of self directed study which will include preparation for lectures, practicals and other assessment tasks.
Students are expected to actively participate and contribute towards discussions.
To be determined
Requisite and Incompatibility
Tuition fees are for the academic year indicated at the top of the page.
Commonwealth Support (CSP) Students
If you 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). More information about your student contribution amount for each course at Fees.
- Student Contribution Band:
- Unit value:
- 6 units
If you are a domestic graduate coursework student with a Domestic Tuition Fee (DTF) place or international student you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found 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
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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|
|2836||19 Feb 2024||26 Feb 2024||31 Mar 2024||24 May 2024||In Person||N/A|