Dynamic Models and Data in Biology

Catalog description

Life is dynamic and ever-changing. Because of this, a central tool used to study living systems are dynamic models. This course provides an introductory survey of the development, computer implementation, and applications of dynamic models in biology, as well as statistical and machine learning methods for building such models from biological data. Case-study format covering broad range of biological applications including gene regulation, neurobiology, physiology, behavior, epidemiology and ecology. Students learn mathematical methods for interpreting and building biological systems models, as well as computational methods for simulating models on the computer using a scripting and graphics environment.