Modeling Life : The Mathematics of Biological Systems
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The work Modeling Life : The Mathematics of Biological Systems represents a distinct intellectual or artistic creation found in Boston University Libraries. This resource is a combination of several types including: Work, Language Material, Books.
The Resource
Modeling Life : The Mathematics of Biological Systems
Resource Information
The work Modeling Life : The Mathematics of Biological Systems represents a distinct intellectual or artistic creation found in Boston University Libraries. This resource is a combination of several types including: Work, Language Material, Books.
 Label
 Modeling Life : The Mathematics of Biological Systems
 Title remainder
 The Mathematics of Biological Systems
 Statement of responsibility
 by Alan Garfinkel, Jane Shevtsov, Yina Guo
 Language
 eng
 Summary
 From predatorprey populations in an ecosystem, to hormone regulation within the body, the natural world abounds in dynamical systems that affect us profoundly. This book develops the mathematical tools essential for students in the life sciences to describe these interacting systems and to understand and predict their behavior. Complex feedback relations and counterintuitive responses are common in dynamical systems in nature; this book develops the quantitative skills needed to explore these interactions. Differential equations are the natural mathematical tool for quantifying change, and are the driving force throughout this book. The use of Euler’s method makes nonlinear examples tractable and accessible to a broad spectrum of earlystage undergraduates, thus providing a practical alternative to the procedural approach of a traditional Calculus curriculum. Tools are developed within numerous, relevant examples, with an emphasis on the construction, evaluation, and interpretation of mathematical models throughout. Encountering these concepts in context, students learn not only quantitative techniques, but how to bridge between biological and mathematical ways of thinking. Examples range broadly, exploring the dynamics of neurons and the immune system, through to population dynamics and the Google PageRank algorithm. Each scenario relies only on an interest in the natural world; no biological expertise is assumed of student or instructor. Building on a single prerequisite of Precalculus, the book suits a twoquarter sequence for first or second year undergraduates, and meets the mathematical requirements of medical school entry. The later material provides opportunities for more advanced students in both mathematics and life sciences to revisit theoretical knowledge in a rich, realworld framework. In all cases, the focus is clear: how does the math help us understand the science?
 Image bit depth
 0
 LC call number

 QH323.5
 QH324.2324.25
 Literary form
 non fiction
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