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This subject will introduce mathematical techniques to illustrate the importance of quantitative modelling in biomedicine. Quantitative models will be explored in a variety of biomedical contexts. Emphasis will be placed on understanding how biological principles can give rise to quantitative models. Topics to be explored in a quantitative context include genetic variation over many generations, dynamic processes at the cellular level and the modeling of the spread of infectious diseases among populations.
Intended learning outcomes
On completion of this subject, students should:
- Understand the importance of mathematical principles underlying some topics in biomedical science;
- Be able to explain and apply these principles, using logical and mathematical reasoning, to a variety of familiar and novel situations in biomedicine and public health policy.
In addition to learning specific skills that will assist students in their future careers in the health sciences, they will have the opportunity to develop generic skills that will assist them in any future career path. These include:
- problem-solving skills: the ability to engage with unfamiliar problems and identify relevant solution strategies;
- analytical skills: the ability to construct and express logical arguments and to work in abstract or general terms to increase the clarity and efficiency of analysis;
- communication skills;
- collaborative skills: the ability to work in a team;
- time management skills: the ability to meet regular deadlines while balancing competing commitments.
Last updated: 16 January 2020