Units / BMS1142
BMS1142 · Biomedical data and population health
2027 Handbook6 credit pointsLevel 1School of Biomedical Sciences
Overview
In this unit you will explore the applications of biostatistical and epidemiological concepts to typical problems in the biomedical literature. Much emphasis is placed on the methods used to explore, categorise and analyse biomedical health data and then apply it to population health problems. This unit includes the population view of health and disease, epidemiological principles, ethical principles, research study design and biostatistical calculations and analysis of data.
Offerings
| Campus | Teaching period | Mode |
|---|---|---|
| Clayton | Second semester | Activities scheduled as a mix of on-campus and online activities (BLENDED) |
Assessment
The Handbook lists an examination for this unit.
| # | Assessment | Type | Weight | Hurdle |
|---|---|---|---|---|
| 1 | Data analysis | Exercise | 15% | — |
| 2 | Research activity | Demonstration | 25% | — |
| 3 | Biomedical critical appraisal | Project | 25% | — |
| 4 | Examination | Examination | 35% | — |
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Requisites
The Handbook lists no prerequisite, corequisite or prohibition for this unit.
Learning outcomes
- Calculate and interpret relevant disease and population measures found in research and practice.
- Integrate epidemiological, ethical and study design principles in the study of health research.
- Determine the statistical method and analyse biomedical data.
- Summarise and interpret biostatistical results and research outcome.
- Critically evaluate different forms of evidence in biomedical literature.
- Apply population health methods to meet global health challenges.
Workload
This unit has: 5 hours of teacher directed study per week, including: ● 2 hours of online modules ● 2 hours of tutorials 1 hour Live with a guest expert 7 hours per week of self-directed study. Total per week = 12 hours
| Activity | Duration |
|---|---|
| Tutorials | 24 hours |
| Lectures | 12 hours |
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