Summary: MATH 605 Stochastic methods for biology
Time and place: MWF: 1:20 PM - 2:10 PM, Van Vleck B231.
Instructor: David Anderson
Office: 617 Van Vleck
Office hours: TBD.
Course webpage: http://www.math.wisc.edu/anderson/605F11/605F11.html
I will use the class email list to send out corrections, announcements, etc. Please check your
wisc.edu email regularly.
Course content: This course will focus on stochastic models of biological phenomena. We will
cover the requisite probability to understand them (although, see the prerequisites below), and
will learn different methods of analysis: from the theoretical to the computational. By the end of
this course you will understand how stochastic models arise naturally in biology, and also be able
to analyze and apply computational techniques (such as the well known "Gillespie" or stochastic
simulation algorithm) to the models.
Mathematically, we will cover discrete time Markov chains, the basics of point processes, con-
tinuous time Markov chains, and diffusion processes (those incorporating "Brownian motion").