Description

Volume Two of an award-winning professor's introduction to essential concepts of calculus and mathematical modeling for students in the biosciences

This is the second of a two-part series exploring essential concepts of calculus in the context of biological systems. Building on the essential ideas and theories of basic calculus taught in Mathematical Models in the Biosciences I, this book focuses on epidemiological models, mathematical foundations of virus and antiviral dynamics, ion channel models and cardiac arrhythmias, vector calculus and applications, and evolutionary models of disease. It also develops differential equations and stochastic models of many biomedical processes, as well as virus dynamics, the Clancy-Rudy model to determine the genetic basis of cardiac arrhythmias, and a sketch of some systems biology. Based on the author’s calculus class at Yale, the book makes concepts of calculus less abstract and more relatable for science majors and premedical students.

Mathematical Models in the Biosciences II

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Paperback / softback by Michael Frame

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Volume Two of an award-winning professor's introduction to essential concepts of calculus and mathematical modeling for students in the biosciences... Read more

    Publisher: Yale University Press
    Publication Date: 23/11/2021
    ISBN13: 9780300253696, 978-0300253696
    ISBN10: 0300253699

    Number of Pages: 496

    Non Fiction , Mathematics & Science , Education

    Description

    Volume Two of an award-winning professor's introduction to essential concepts of calculus and mathematical modeling for students in the biosciences

    This is the second of a two-part series exploring essential concepts of calculus in the context of biological systems. Building on the essential ideas and theories of basic calculus taught in Mathematical Models in the Biosciences I, this book focuses on epidemiological models, mathematical foundations of virus and antiviral dynamics, ion channel models and cardiac arrhythmias, vector calculus and applications, and evolutionary models of disease. It also develops differential equations and stochastic models of many biomedical processes, as well as virus dynamics, the Clancy-Rudy model to determine the genetic basis of cardiac arrhythmias, and a sketch of some systems biology. Based on the author’s calculus class at Yale, the book makes concepts of calculus less abstract and more relatable for science majors and premedical students.

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