Mathematical Systems Biology 2: Stochastic Methods.

Catalog description

PR: MATH 470 and STAT 215 with a minimum grade of C- in each or department permission. This second course in the sequence introduces students to stochastic models and simulation methods used in molecular systems biology. The core of the course deals with the application of probabilistic (stochastic) models to a class of biological processes, with emphasis on Monte-Carlo simulations of biochemical reactions inside cells. Students will learn to implement a variety of stochastic algorithms in Matlab.