AML 612 Fall 2015/Spring 2016: Stochastic Methods

[In these modules, students will become familiar with basic computational methods for stochastic modeling.  We will cover stochastic modeling of epidemics and biological processes using Markov Chain Monte Carlo (MCMC), Stochastic Differential Equations (SDE’s), and Agent Based Models (ABMs, aka Individual Based Models, IBMs).   Stochastic methods are very useful for many different things, so we’ll also discuss other applications throughout the course. Along the way, we will discuss many other things that are critical to your future success as a researcher. How to do literature searches and build an annotated bibliography, how to organize your work, good coding practices, how to write a good research paper, and how to give a good presentation. There is no required textbook for this course.  However, I *highly* recommend Modeling Infectious Diseases in Humans and Animals by Keeling and Rohani.  It is a great introductory- to medium-level book on modeling methods (including stochastic modeling).  Another book that is good, at a medium- to advanced-level, is An Introduction to Stochastic Processes with Applications to Biology, by Linda Allen. NIMBios also has a good web page with information related to stochastic modelling. In addition, a really nice introductory exposition on the topic of stochastic modelling by Priscilla Greenwood and Luis Gordillo can be found here]

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