Introduction to Mathematical Biology: Modeling, Analysis, and Simulations (Springer Undergraduate Texts in Mathematics and Technology) - Softcover

Chou, Ching Shan; Friedman, Avner

Softcover

ISBN 10: 3319806149 ISBN 13: 9783319806143

Publisher: Springer, 2018

Synopsis

This book is based on a one semester course that the authors have been teaching for several years, and includes two sets of case studies.  The first includes chemostat models, predator-prey interaction, competition among species, the spread of infectious diseases, and oscillations arising from bifurcations.  In developing these topics, readers will also be introduced to the basic theory of ordinary differential equations, and how to work with MATLAB without having any prior programming experience.

The second set of case studies were adapted from recent and current research papers to the level of the students.  Topics have been selected based on public health interest.  This includes the risk of atherosclerosis associated with high cholesterol levels, cancer and immune interactions, cancer therapy, and tuberculosis.  Readers will experience how mathematical models and their numerical simulations can provide explanations that guide biological andbiomedical research.

Considered to be the undergraduate companion to the more advanced book "Mathematical Modeling of Biological Processes" (A. Friedman, C.-Y. Kao, Springer – 2014), this book is geared towards undergraduate students with little background in mathematics and no biological background.

About this title

About the Author

Ching-Shan Chou is an Associate Professor in the Department of Mathematics at Ohio State University.  She received her Ph.D. in the area of applied mathematics from Brown University.  She is currently working in the area of computational and mathematical biology.

Avner Friedman is a Distinguished University Professor at Ohio State University.  He received his Ph.D. in 1956 from the Hebrew University.  His research interests include partial differential equations, both general mathematical theory as well as applications to models that arise in the physical and life sciences, in engineering, and in industry.

From the Back Cover

This book is based on a one semester course that the authors have been teaching for several years, and includes two sets of case studies.  The first includes chemostat models, predator-prey interaction, competition among species, the spread of infectious diseases, and oscillations arising from bifurcations.  In developing these topics, readers will also be introduced to the basic theory of ordinary differential equations, and how to work with MATLAB without having any prior programming experience.

The second set of case studies were adapted from recent and current research papers to the level of the students.  Topics have been selected based on public health interest.  This includes the risk of atherosclerosis associated with high cholesterol levels, cancer and immune interactions, cancer therapy, and tuberculosis.  Readers will experience how mathematical models and their numerical simulations can provide explanations that guide biological and biomedical research.

Considered to be the undergraduate companion to the more advanced book "Mathematical Modeling of Biological Processes" (A. Friedman, C.-Y. Kao, Springer – 2014), this book is geared towards undergraduate students with little background in mathematics and no biological background.

Edition details

• Publisher: Springer
• Publication date: 2018
• Language: English
• ISBN 10: 3319806149
• ISBN 13: 9783319806143
• Binding: Paperback
• Number of pages: 179