Introduction to Computational Biology and Chemistry  
Description: This course explores models that arise in biology and chemistry and how they're analyzed using modern mathematical and computational techniques. Topics covered are statistical models, discrete- and continuous- time dynamical models, and stochastic models. Applications will sample a wide range of scales, from biomolecules to population dynamics, with an emphasis on common mathematical concepts and computational techniques. Throughout, themes will include interpretation of existing data and predictions for new experiments.
Course material created by Professor Eric Shea-Brown.
Target audience: Advanced undergraduate (3rd or 4th year)
Institution: University of Washington
Materials available: Problem sets or projects, Course outline or syllabus, Textbook recommendations, Downloadable code or data files
Products: MATLAB

Submitted: Jul 30, 2008
Chemistry and Chemical Engineering Books  

A catalog listing of titles from The MathWorks books program. The texts present theory, real-world examples, and exercises using MATLAB, Simulink, and other MathWorks products.

Submitted: Mar 12, 2008

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