Sustainable Resource Management Honours 413
This course involves the direct application of research skills and competencies introduced in SRMT4120. The course is conducted under the direct supervision of an academic staff member who is the student's honours research supervisor. It concentrates on the data collection and analysis portion of the research process. By the start of this course, students will have completed a major literature review, identified a suitable research question and developed a robust research design. The course explores and implements appropriate data collection techniques and develops advanced skills in data analysis. The course develops chapter drafts for the student's research thesis, as well as a poster and oral presentation of research findings.
- Semester 1 - 2017
- Semester 2 - 2017
On successful completion of the course students will be able to:
1. Demonstrate competency in the selection of various methods of quantitative and qualitative data collection and statistical analysis used in sustainable resource management studies
2. Demonstrate their capacity to implement appropriate mthods of quantitative and qualitative data collection and statistical analysis used in their individula research projects
3. Appreciate the methods used to distill and communicate specific findings in concise formats
Students undertake activities involving:
- Discussion and guidance on the use of appropriate methods of quantitative and qualitative data collection and statistical analysis used in sustainable resource management research.
- Guidance on the use of analytical thinking for data interpretation.
- The application of appropriate research ethics principles.
- Guidance on conventions used in communicating scientific findings in oral and poster presentations.
This course is only available to students enrolled in the Bachelor of Science (Honours)
SRMT4110 and SRMT4120
Thesis: Thesis outline and initial conclusions
Face to Face On Campus 14 hour(s) per Term
Self-Directed 10 hour(s) per Week for Full Term