This is the only book that teaches all aspects of modern mathematical modeling and that is specifically designed to introduce undergraduate students to problem solving in the context of biology. Included is an integrated package of theoretical modeling and analysis tools, computational modeling techniques, and parameter estimation and model validation methods, with a focus on integrating analytical and computational tools in the modeling of biological processes. Divided into three parts, it covers basic analytical modeling techniques; introduces computational tools used in the modeling of biological problems; and includes various problems from epidemiology, ecology, and physiology. All chapters include realistic biological examples, including many exercises related to biological questions. In addition, 25 open-ended research projects are provided, suitable for students. An accompanying Web site contains solutions and a tutorial for the implementation of the computational modeling techniques. Calculations can be done in modern computing languages such as Maple, Mathematica, and MATLAB®.
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Editorial Reviews
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'There really is not a book that is directly comparable. Students will be able to study any area of biology with a mathematical perspective. The projects and the introduction to computation are a real bonus.' Fred Brauer, University of British Columbia
'One can warmly recommend this book to any undergraduate students in life science or mathematics who want to be introduced to the fascinating field of biomathematics.' J.-P. Gabriel, Département de Mathématiques de l'université, Fribourg
'One can warmly recommend this book to any undergraduate students in life science or mathematics who want to be introduced to the fascinating field of biomathematics.' J.-P. Gabriel, Département de Mathématiques de l'université, Fribourg
Book Description
This is the only book that teaches all aspects of modern mathematical modeling and that is specifically designed to introduce undergraduate students to problem solving in the context of biology. Included are many realistic biological examples, numerous exercises related to biological questions, and 25 open-ended research projects, suitable for students.
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Inside This Book
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First Sentence:
Mathematical biology dwells at the interface of two fields: applied/computational mathematics and biology. Read the first page Key Phrases - Capitalized Phrases (CAPs): (learn more)
Maple Course, Estimating Parameters, Law of Mass Action, Project Descriptions, Game of Life, Solved Projects, Discrete Dynamical Systems, Elementary Bifurcations, Generalized Cellular Automata, South Africa, Common Colds New!
Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Mathematical biology dwells at the interface of two fields: applied/computational mathematics and biology. Read the first page Key Phrases - Capitalized Phrases (CAPs): (learn more)
Maple Course, Estimating Parameters, Law of Mass Action, Project Descriptions, Game of Life, Solved Projects, Discrete Dynamical Systems, Elementary Bifurcations, Generalized Cellular Automata, South Africa, Common Colds New!
Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 87
books:
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- Differential Equations (with CD-ROM) by Paul Blanchard on 4 pages
- Applied Mathematical Models in Human Physiology (Monographs on Mathematical Modeling and Computation) by Johnny T. Ottesen in Front Matter, Back Matter (1), and Back Matter (2)
- Mathematical Biology: I. An Introduction (Interdisciplinary Applied Mathematics) (Pt. 1) by James D. Murray in Back Matter (1), Back Matter (2), and Back Matter (3)
- Essential Mathematical Biology by Nicholas F. Britton in Back Matter (1), and Back Matter (2)
- Modeling Dynamic Biological Systems by Bruce Hannon in Back Matter (1), and Back Matter (2)
See all 87 books this book cites
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