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SC5502 - Design and Analyses in Ecological Studies
Credit points: |
3 |
Year: |
2023 |
Student Contribution Band: |
Band
1 |
Administered by: |
College of Science and Engineering |
This subject focusses on collection and statistical analysis of ecological data, providing
insight in the mechanisms and consequences of theories in ecology. Students are expected
to extend their skills and demonstrate their understanding of: the types of data that
might be generated, some of the analyses that are available for particular purposes,
the assumptions that underpin those analyses, how to interpret and communicate the
end product of the analyses, and the need for a critical and informed approach to
statistical analysis. The subject is designed for postgraduate students whose future
professional activities are likely to require an understanding of the design and analysis
of ecological studies and the interpretation of the output from statistical software
in a biological context. In particular, those students who intend to move into honours
or graduate studies (Masters or PhD), and those who intend to work as professional
scientists.
Learning Outcomes
- select and apply appropriate statistical analyses for a range of sampling regimes
and data types, and subsequently interpret the results in an ecological context;
- problem solve complex issues in the acquisition, analysis, interpretation and communication
of scientific research;
- initiate, analyse and communicate field based research projects in ecology, thereby
demonstrating competency in scientific research.
Subject Assessment
- Written > Examination (centrally administered) - (50%) - Individual
- Oral > Presentation 1 - (30%) - Group
- Written assignment - (20%) - Individual.
Assumed Knowledge:
|
Students must have a basic understanding of STATISTICS which includes knowledge of
basic probability, t-tests, ANOVA 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:
|
MB5300 |
Availabilities
|
Cairns,
Study Period 2,
Internal
|
Census Date 24-Aug-2023 |
Coordinator: |
Dr Lyanne Brouwer |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 24 hours workshops
- 2 hours seminars
- 24 hours online activity
- 12 hours online Seminars
- assessment and self-directed study
|
|
|
Townsville,
Study Period 2,
Internal
|
Census Date 24-Aug-2023 |
Coordinator: |
Dr Lyanne Brouwer |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 24 hours workshops
- 2 hours seminars
- 24 hours online activity
- 12 hours online Seminars
- assessment and self-directed study
|
|
|
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.