
Academic Year:  2018/9 
Owning Department/School:  Department of Mathematical Sciences 
Credits:  6 [equivalent to 12 CATS credits] 
Notional Study Hours:  120 
Level:  Masters UG & PG (FHEQ level 7) 
Period: 

Assessment Summary:  CW 25%, EX 75% 
Assessment Detail: 

Supplementary Assessment: 

Requisites:  Before taking this module you must take MA20221 OR take MA20202 or equivalent. 
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 indepth understanding of the topic. Skills: Mathematical modelling in biology T/F A Problem solving T/F A Written communication F A Content: 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; yieldeffort curves. * Spruce budworm model: hysteresis effect. Population dynamics of interacting species: * Hostparasitoid interactions: NicholsonBailey model; Jury conditions and NeimarkSacker bifurcations. * Predatorprey models: LotkaVolterra model; nonlinear functional responses; RosenzweigMacArthur model; paradox of enrichment. * Competition: Gause's principle of competitive exclusion. * Global bifurcations * Infectious diseases: * SIS disease: contact rates and density vs. frequencydependent disease transmission; basic reproductive ratio R0; threshold theorem. * SIR epidemics and endemics: final size of the epidemic; disease eradication and control; host regulation and diseaseinduced extinction. * Vectorborne 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 prerequisites. * = Topics to be covered by independent directed reading. 
Programme availability: 
MA50179 is Optional on the following programmes:Department of Biology & Biochemistry

Notes:
