Full subject description
In this subject, foundational concepts such as disease frequency, causal inference and bias are taught using real-world public health cases, supported by structured modules, frequent low-stakes activities and explicit guidance that enables students from diverse disciplinary backgrounds to engage confidently and progress successfully.
Discipline and faculty
- Public Health, Faculty of Medicine, Dentistry and Health Sciences
Framework for Educational Excellence dimension: Evidence-based and inclusive teaching practices
- Evidence-based learning design - teaching activities and assessments are grounded in established epidemiological research and public health evidence, using authentic cases and datasets to support rigorous analysis and evidence-informed decision making.
- Clear and accessible communication - complex epidemiological concepts—such as causal inference, bias, and validity—are broken down through structured modules, explicit learning outcomes, worked examples and transparent assessment guidance.
- Inclusive and respectful learning environments - learning materials and activities are designed to support students from diverse disciplinary backgrounds, with sensitive framing of potentially distressing public health topics, opportunities for active participation, and clear pathways to academic and wellbeing support
This is a copy of a live subject delivered in 2025. While there are no enrolled students or live activity, you can explore the subject as a student would - navigating modules and gaining insight into how learners engaged with core learning and assessment tasks.