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BZ5225 - Technological Applications in Ecology
| Credit points: | 3 |
| Year: | 2022 |
| 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 enrolling in this subject should have a good understanding of ecology (BS5460 or BZ5880 or BS5470 or BZ5480 or equivalents) and quantitative methods in biology. |
| Prerequisites: | (SC2202 OR SC5202 OR BS5001 OR BZ5001) AND (BS5460 OR BZ5880 OR EQUIVALENTS) |
| Inadmissible Subject Combinations: |
BZ3225 |
Availabilities |
|
| Cairns, Study Period 2, Internal | |
| Census Date 25-Aug-2022 | |
| Coordinator: | Dr Jamie Cleverly |
| Lecturers: | Assoc. Professor Will Edwards, Professor Susan Laurance, Assoc. Professor Lucas Cernusak, Assoc. Professor Lori Lach, Dr Ben Hirsch, Professor Lin Schwarzkopf. |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| Townsville, Study Period 2, Internal | |
| Census Date 25-Aug-2022 | |
| Coordinator: | Dr Jamie Cleverly |
| Lecturers: | Dr Ben Hirsch, Professor Lin Schwarzkopf. |
| 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.