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BZ5225 - Technological Applications in Ecology
| Credit points: | 3 |
| Year: | 2023 |
| Student Contribution Band: | Band 2 |
| Administered by: | College of Science and Engineering |
Available to students admitted to Postgraduate Science,Development Practice, Global Development courses
Increasingly complex research questions and global challenges (e.g., climate change and biodiversity loss) are driving rapid development, refinement, and uses of technology in ecology. This subject will introduce students to newly emerging high-tech options becoming available for studying the natural world and how these technologies are opening up new possibilities for insights into nature and applications for understanding and conserving biodiversity. Students will learn how to employ these techniques in order to generate datasets, to distinguish when each technique is applicable, to interpret the results in the context of ecological hypotheses and to report these results in a professional manner. There may be additional charges for this subject; please contact the College for details.
There are additional charges for this subject; please contact the School for details.
Learning Outcomes
- apply new/advanced technologies in gathering ecological data from natural populations and communities;
- produce high quality analytical outputs such as figures and quantitative summaries;
- apply analytical methods associated with instrument derived (sensor) data and present outcomes of these applications in both written and spoken forms.
Subject Assessment
- Written > Test/Quiz 1 - (25%) - Individual
- Oral > Presentation 1 - (25%) - Individual
- Written > Research report - (35%) - Individual
- Performance/Practice/Product > Practical assessment/practical skills demonstration - (15%) - Individual.
| Assumed Knowledge: |
Students must have a basic understanding of STATISTICS which includes knowledge of basic probability, t-tests, regression and ability to use R for data analysis (or have done the JCU R Bootcamp). SC5202 or SC2202 or SC2209 or will have acquired equivalent knowledge through industry experience. |
| Inadmissible Subject Combinations: |
BZ3225 |
Availabilities |
|
| Cairns, Study Period 2, Internal | |
| Census Date 24-Aug-2023 | |
| Coordinator: | Dr Jamie Cleverly |
| Lecturers: | Dr Ben Hirsch, Dr Slade Allen-Ankins. |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| Townsville, Study Period 2, Internal | |
| Census Date 24-Aug-2023 | |
| Coordinator: | Dr Jamie Cleverly |
| Lecturers: | Dr Ben Hirsch, Dr Slade Allen-Ankins. |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
Note: Minor variations might occur due to the continuous Subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.