Dr Paul Higgs
Course Outline to download - DOC
Assignment 1 - DOC
Assignment 2 - DOC
Assignment 3 - DOC
J Crow and M Kimura - Introduction to population genetics. Especially the chapter on stochastic processes.
M Kimura - Population genetics, molecular evolution and the neutral theory: selected papers.
Powerpoint slides on percolation: PPT
D Stauffer and A Aharony - Introduction to percolation theory
A Bunde and S Havlin - Fractals and Disordered systems
Powerpoint slides on growth models: PPT
A Bunde and S Havlin - Fractals and Disordered systems
Papers chosen by class members.
1. Peyman chose: Impact of interferences on connectivity in ad hoc networks. PDF and also PDF
2. Jianfeng chose: Modeling plot scale dye penetration by a DLA model. PDF
3. Mark chose: Empirical evidence of spatial thresholds to control invasion of fungal parasites and saprotrophs. PDF and also PDF
4. Jen N chose: Vaccinating to protect a vulnerable subpopulation. PDF
5. Nick chose: Simulation of biological cell sorting using a two-dimensional extended Potts model. PDF
6. Issei chose: Kinetic gelation modeling of controlled radical polymerizations. PDF
7. Youhai chose: Percolation of triplet excitation in sol-gel matrix. PDF
8. Jen Y chose: Simulating and modeling lichen growth. PDF
9. Emanoil chose: The Fermi paradox: an approach based on percolation theory. link (Wow! What a far-reaching topic percolation is!).
Book of reprinted articles - The Structure and Dynamics of Networks. M Newman, A. Barabasi and D. J. Watts. 2006.
The structure and function of complex networks. M.J. Newman. 2003. PDF
Graph structure in the web. Broder et al. 2000. PDF
The Molecular Quasispecies. Eigen et al. 1989 PDF
Quasispecies made simple. Bull et al. 2005 PDF
Evolutionary Dynamics - Exploring the equations of life. Martin Nowak. 2006.
Evolution and the theory of games. John Maynard Smith. 1982.
Generally useful book about everything! - The major transitions in evolution. John Maynard Smith and Eors Szathmary. 1995.
In silico simulations reveal that replicators with limited dispersal evolve towards higher efficiency and fidelity. Szabo et al. 2002. PDF
The prisoners dilemma on a stochastic non-growth network evolution model. Hatzopoulos and Jensen. 2007. PDF
Dynamical systems and cellular automata....
Self-organized criticality....