Mathematical Medicine & Biology - MAT00088M
- Department: Mathematics
- Credit value: 10 credits
- Credit level: M
- Academic year of delivery: 2022-23
Related modules
Additional information
Undergraduate students must have taken all the prerequisite modules, and it's strongly recommended they also take Partial Differential Equations I – MAT00040H/MAT00053M. Please consult the lecturer before making this module choice without Partial Differential Equations I.
MSc students must take Mathematical Ecology and Epidemiology MAT00080M at the same time as this module (or have taken an equivalent module elsewhere) and must have taken a first course in dynamical systems.
Module will run
| Occurrence | Teaching period |
|---|---|
| A | Spring Term 2022-23 |
Module aims
To explore mathematical problems in the medical and biological sciences; to give mathematics students the opportunity to gain familiarity with the vocabulary of biology.
To provide an introduction to the modelling and analysis of solutions of problems in medicine and biology.
To develop mathematical techniques to address the above problems.
Module learning outcomes
Subject content
The module aims to introduce students to a diverse range of problems from the medical and biological sciences that are amenable to mathematical techniques.
- Excitable dynamics in nerves: the FitzHugh–Nagumo model.
- Morphogenesis; animal coat patterns; the Turing instability.
- Population Genetics; evolution and neutral theory (deterministic and stochastic modelling)
- Blood flow: pulse propagation in large arteries (linear wave theory).
Academic and graduate skills
- Academic skills: by the end of the module, students should be able to critically compare all of the above theories, identifying relative strengths and weaknesses. They should be able to investigate simple improvements, developing independent learning skills to enable the exploration of scientific literature in this subject area.
- Graduate skills: through lectures, examples, classes, students should develop their ability to assimilate, process and engage with new material quickly and efficiently. Students should develop problem solving-skills and learn how to apply techniques to unseen problems.
Indicative assessment
| Task | % of module mark |
|---|---|
| Closed/in-person Exam (Centrally scheduled) | 100 |
Special assessment rules
None
Indicative reassessment
| Task | % of module mark |
|---|---|
| Closed/in-person Exam (Centrally scheduled) | 100 |
Module feedback
Current Department policy on feedback is available in the undergraduate student handbook. Coursework and examinations will be marked and returned in accordance with this policy.
Indicative reading
J. D. Murray. Mathematical Biology I. An Introduction. Springer.
J. D. Murray. Mathematical Biology II. Spatial Models and Biomedical Applications. Springer.
J. Keyner and J. Sneyd. MathematicaI Physiology I. Cellular Physiology. Springer
J. Keyner and J. Sneyd. MathematicaI Physiology II. Systems Physiology. Springer
W. J. Ewens. Mathematical population genetics. Springer