Biology 429. Models in Biology: Information Theory

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. Winter 2008

Biology 429. Models in Biology: Information Theory

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. Winter 2008

Biology 354. Evolution

Evolutionary biology for majors. Spring 2008

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.