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Introduction to Computational Biology and Chemistry Update Link / Bad Link? 
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
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MATLAB Programs for Modeling and Simulation in Medicine and the Life Sciences and Population Mathematics Update Link / Bad Link? 
Description: Contents
1 Population Dynamics
1.1 Population Numbers; 1.2 Epidemics; 1.3 Genetics; 1.4 Biogeography
2 Neuroscience Simulations
2.1 Atoll Simulation; 2.2 Winfree's time crystal; 2.3 Attention: Winner takes all in the frequency domain; 2.4 Breathing; 2.5 Hippocampus pattern

These programs are designed to execute various calculations arising in our books in mathematical biology. They are intended for illustrative purposes only for understanding models that are always based on extensive simplifying assumptions. The MATLAB programs in this document were developed over several years, and so they use many versions of MATLAB.
Target audience: Graduate
Institution: NYU - Courant Institute of Mathematical Sciences
Materials available: Problem sets or projects, Downloadable code or data files
Products: MATLAB

Submitted: Sep 05, 2008
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