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MA50179: Mathematical biology 1

Follow this link for further information on academic years Academic Year: 2019/0
Further information on owning departmentsOwning Department/School: Department of Mathematical Sciences
Further information on credits Credits: 6      [equivalent to 12 CATS credits]
Further information on notional study hours Notional Study Hours: 120
Further information on unit levels Level: Masters UG & PG (FHEQ level 7)
Further information on teaching periods Period:
Semester 1
Further information on unit assessment Assessment Summary: CW 25%, EX 75%
Further information on unit assessment Assessment Detail:
  • Coursework (CW 25%)
  • Examination (EX 75%)
Further information on supplementary assessment Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Further information on requisites Requisites: Before taking this module you must take MA20221 OR take MA20202 or equivalent.
Further information on descriptions Description: Aims:
To introduce students to problems arising in population biology that can be tackled using applied mathematics. Both mathematical modelling and mathematical analysis will be covered, and at all times the interplay between the mathematics and the underlying biology will be emphasised.

Learning Outcomes:
At the end of this unit, students should be able to:
* handle mathematical modelling issues for problems in population biology,
* analyse models written in terms of ordinary differential equations or difference equations,
* give a qualitative and quantitative account of their solution, and
* interpret the results in terms of the original biological problem;
* demonstrate an in-depth understanding of the topic.

Mathematical modelling in biology T/F A
Problem solving T/F A
Written communication F A

Single species population dynamics:
* Models in discrete and continuous time: basic reproductive ratio R0; compensatory and depensatory competition (Allee effects);
* Delay effects
* Harvesting: constant yield and constant effort strategies; maximum sustainable yield; yield-effort curves.
* Spruce budworm model: hysteresis effect.
Population dynamics of interacting species:
* Host-parasitoid interactions: Nicholson-Bailey model; Jury conditions and Neimark-Sacker bifurcations.
* Predator-prey models: Lotka-Volterra model; nonlinear functional responses; Rosenzweig-MacArthur model; paradox of enrichment.
* Competition: Gause's principle of competitive exclusion.
* Global bifurcations
Infectious diseases:
* SIS disease: contact rates and density- vs. frequency-dependent disease transmission; basic reproductive ratio R0; threshold theorem.
* SIR epidemics and endemics: final size of the epidemic; disease eradication and control; host regulation and disease-induced extinction.
* Vector-borne diseases and sexually transmitted diseases.
* Macroparasitic diseases
Parts of the content include using computer packages (e.g. using and adapting MATLAB programs) as introduced in the pre-requisites.
* = Topics to be covered by independent directed reading.
Further information on programme availabilityProgramme availability:

MA50179 is Optional on the following programmes:

Department of Mathematical Sciences