BZ3225 - Technological Applications in Ecology
|Student Contribution Band:
||College of Science and Engineering
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.
- apply new/advanced technologies in gathering ecological data from natural populations
- 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 oral forms.
|Students enrolling in this subject should have a good understanding of ecology level
2 and quantitative methods in biology, and should have completed BZ2880 and SC2202
or SC2209 or equivalents.
||(SC2202 OR SC2209 OR BZ2001 OR BS2001) AND (BS2460 OR BZ2440 OR BZ2880 OR BS2470 OR
BZ2420 OR BZ2480 OR MB2060)
Study Period 2
|Census Date 29-Aug-2019
||Dr Brad Congdon
||Assoc. Professor Will Edwards, Dr Brad Congdon, Assoc. Professor Susan Laurance, Assoc. Professor Lucas Cernusak, Assoc. Professor Lori Lach.
The student workload for this
credit point subject is approximately
- 26 hours on-campus > Lectures
- 39 hours on-campus > Practicals - Practicals, Tutorials and fieldwork
- assessment and self-directed study
||presentations (20%); assignments (40%); (40%).
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