Many biological systems are not well-mixed. Randomness, networks, underlying structure, and spatial inhomogeneities drive interesting dynamical behaviours not possible in well-mixed models. This module will examine these behaviours in systems of biological and medical importance, drawing from research currently being undertaken at the University of Birmingham. Topics to be covered in the first half of the course may include, amongst others: stochasticity in birth-death processes, modelling tumour growth, emergent collective behaviour (eg bird flocking), axon modelling and neural networks, and complex networks in biology. Topics to be covered in the second half of the course may include, amongst others: random walks to continuum models, cell taxis, autocatalytic reaction-diffusion waves, invasive species, Turing patterns and animal coat markings, travelling waves in the retina, and model parameterisation theory.
Learning Outcomes
By the end of the module students should be able to:
Demonstrate how spatial variation can drive complex dynamics in biological systems
Explain how randomness can affect the behaviour of biological systems
Analyse coupled PDE systems relating to biology
Describe how complex behaviour and functionality can emerge from systems of many simple, interconnected elements
Assessment
31128-03 : Raw Module Mark : Coursework (100%)
Assessment Methods & Exceptions
3 hour Written Unseen Examination (80%); In-course Assessment (20%).