SLE452 - Research Design and Data Analysis
| Year: | 2024 unit information |
|---|---|
| Enrolment modes: | Semester 1: Online |
| Credit point(s): | 1 |
| EFTSL value: | 0.125 |
| Cohort rule: | This unit is only available to students enrolled in S400, S401, S494 |
| Prerequisite: | Nil |
| Corequisite: | Nil |
| Incompatible with: | Nil |
| Study commitment | Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit. This will include educator guided online learning activities within the unit site. |
| Scheduled learning activities - online | Online independent and collaborative learning including 5 x 2.5 hour online practical experience (workshop) per semester, 1 x 4 hour online practical experience (workshop) per semester, 1 x 1 hour online seminar per semester, 2 x 2 hour online seminars per semester. |
Content
Research design and data analysis is an essential part of scientific and industry research but many graduates in life and environmental sciences have only limited experience of applying it in this context. SLE452 aims to help research students develop the skills to design, implement and analyse quantitative outcomes from a research project across a broad range of settings. This unit will build on basic statistical knowledge from other units completed in their undergraduate degree. Students will learn how to design sophisticated sampling and experimental programs that maximise interpretability and efficiency, and with a focus on modern statistical models, understand the logic and assumptions underlying statistical analyses as applied in biological research, develop the practical ability to analyse data and interpret and present the results using modern software, and learn how to critically evaluate the data analyses used in the published literature.
Unit Fee Information
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