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Biology 354. Evolution
Foundations of Evolution and Systematics. Spring 2009
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Game Theory in Biology
Following Ken Binmore's new text Playing for Real, we take an in-depth look at what game theory is, why it works, and when to use it. Last offered: Winter 2009. -
Information is a central organizing principle in the study of life. Shannon's information theory provides a rich set of tools for quantifying information and its transmission. In this course we will develop the necessary background to understand and use Shannon's theory in application to biological systems from neural encoding to evolutionary dynamics. Last offered: Winter 2008
- Stochastic Processes in Biology
From intracellular diffusion to ecosystem dynamics, many important processes in biological systems are inherently stochastic. This course provides mathematical machinery needed to model such processes: the mathematics of stochastic processes. Topics include Markov chains , birth-death processes, branching processes, poisson processes, Brownian motion, renewal processes, and Ornstein-Uhlenbeck processes. Last offered Autumn 2006.