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Softcover ISBN:  9780821872864 
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Softcover ISBN:  9780821872864 
Product Code:  CLN/22 
List Price:  $35.00 
MAA Member Price:  $31.50 
AMS Member Price:  $28.00 
eBook ISBN:  9781470417659 
Product Code:  CLN/22.E 
List Price:  $33.00 
MAA Member Price:  $29.70 
AMS Member Price:  $26.40 
Softcover ISBN:  9780821872864 
eBook ISBN:  9781470417659 
Product Code:  CLN/22.B 
List Price:  $68.00 $51.50 
MAA Member Price:  $61.20 $46.35 
AMS Member Price:  $54.40 $41.20 

Book DetailsCourant Lecture NotesVolume: 22; 2011; 149 ppMSC: Primary 35; 37; 46; 62; 92; 97; 00; 34
Complex diseases involve most aspects of population biology, including genetics, demographics, epidemiology, and ecology. Mathematical methods, including differential, difference, and integral equations, numerical analysis, and random processes, have been used effectively in all of these areas. The aim of this book is to provide sufficient background in such mathematical and computational methods to enable the reader to better understand complex systems in biology, medicine, and the life sciences. It introduces concepts in mathematics to study population phenomena with the goal of describing complicated aspects of a disease, such as malaria, involving several species.
The book is based on a graduate course in computational biology and applied mathematics taught at the Courant Institute of Mathematical Sciences in fall 2010. The mathematical level is kept to essentially advanced undergraduate mathematics, and the results in the book are intended to provide readers with tools for performing more indepth analysis of population phenomena.
Titles in this series are copublished with the Courant Institute of Mathematical Sciences at New York University.
ReadershipGraduate students and research mathematicians intrested in mathematical biology, population biology, system biology, computational biology, and epidemiology.

Table of Contents

Chapters

Chapter 1. Population dynamics

Chapter 2. Random processes

Chapter 3. Microbial ecology

Chapter 4. Propagation of epidemic diseases

Chapter 5. Population genetics

Chapter 6. Stratifications of disease systems

Chapter 7. MATLAB® programs


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Complex diseases involve most aspects of population biology, including genetics, demographics, epidemiology, and ecology. Mathematical methods, including differential, difference, and integral equations, numerical analysis, and random processes, have been used effectively in all of these areas. The aim of this book is to provide sufficient background in such mathematical and computational methods to enable the reader to better understand complex systems in biology, medicine, and the life sciences. It introduces concepts in mathematics to study population phenomena with the goal of describing complicated aspects of a disease, such as malaria, involving several species.
The book is based on a graduate course in computational biology and applied mathematics taught at the Courant Institute of Mathematical Sciences in fall 2010. The mathematical level is kept to essentially advanced undergraduate mathematics, and the results in the book are intended to provide readers with tools for performing more indepth analysis of population phenomena.
Titles in this series are copublished with the Courant Institute of Mathematical Sciences at New York University.
Graduate students and research mathematicians intrested in mathematical biology, population biology, system biology, computational biology, and epidemiology.

Chapters

Chapter 1. Population dynamics

Chapter 2. Random processes

Chapter 3. Microbial ecology

Chapter 4. Propagation of epidemic diseases

Chapter 5. Population genetics

Chapter 6. Stratifications of disease systems

Chapter 7. MATLAB® programs