MA30063: Mathematical biology 2
[Page last updated: 15 October 2020]
 Academic Year: | 2020/1 |
| Owning Department/School: | Department of Mathematical Sciences |
| Credits: | 6 [equivalent to 12 CATS credits] |
| Notional Study Hours: | 120 |
| Level: | Honours (FHEQ level 6) |
| Period: |
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| Assessment Summary: | EX 100% |
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| Supplementary Assessment: |
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| Requisites: | Before taking this module you must ( take MA20223 OR take PH20020 ) AND take MA30047 |
| Description: | Aims: To introduce students to applications of partial differential equations to model problems arising in biology. Both mathematical modelling and mathematical analysis will be covered, and at all times the interplay between the mathematics and the underlying biological concepts will be emphasised. Learning Outcomes: At the end of this unit, students should be able to: * Derive and interpret mathematical models of problems arising in biology using partial differential equations; * Analyse models written in terms of partial differential equations; * Give a qualitative and quantitative account of their solution, and * Interpret the results in terms of the original biological problem. Skills: Mathematical modelling in biology T/F A Problem solving T/F A Written communication F A Content: Biological Motion * Derivation of general conservation equation (macroscopic approach) * Properties of a conservation equation * Boundary conditions * Derivation of the diffusion-advection equation (microscopic approach) * Components of flux - diffusion, advection, chemotaxis * Solution of the advection equation using method of characteristics * Age structured problems * Solutions of the diffusion equation using the fundamental solution * Steady state distributions; transit times Biological Invasions * Wavefront and wavespeed calculations for exponentially growing populations * Planar travelling waves; minimum wavespeed Spatial Pattern Formation * Critical domain size; scale and geometry effects * Turing mechanisms * Linear stability analysis; conditions for diffusion-driven instability; dispersion relation and Turing space. Tumour Growth * Formation of necrotic core * Tumour size. |
| Programme availability: |
MA30063 is Optional on the following programmes:Department of Mathematical Sciences
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