This is Eddie, possibly Turing unstable, definitely not Turing complete.
Mathematical Biology
This is a course on Mathematical Biology, given to final year undergraduates. It mostly focusses on population dynamics, with a number of digressions to other biological systems that can be modelled by similar equations. Please do email me if you find any typos or mistakes.
Population Dynamics and Other Stories
Malthusian exponential growth, the logistic equation, fixed points; Time delay differential equations, Hutchinson-Wright equation, Nicholson's blowflies, breathing; Age structured populations, von Foerster equation; Predator-Prey systems, Lotka-Volterra equations, competition, dengue fever, May stability criterion; epidemiology, SIR model; Chemical reactions, law of mass action, enzyme reactions, Michaelis-Menten reaction; Excitable systems, FitzHugh-Nagumo model.
Discrete Time
The logistic map, fixed points, bifurcation, chaos; Universality, renormalisation, Feigenbaum constants.
Spatial Variations
Reaction-Diffusion equations, cooking a turkey, diffusion with growth, non-linear diffusion; Travelling waves, Fisher equation, front propagation; Turing instability, pattern formation; Chemotaxis.
Random Variations
Discrete outcomes, Poisson process, extinction; Fokker-Planck equation, constant drift, fluctuation and dissipation.
David Tong is an excellent lecturer; very clear explanations, organised well, and with a clear narrative. Material is interesting too.
The lecturer does not know much about biology.