Authors:
- This updated volume teaches computer modeling of biological systems using models created with STELLA software
- Examples of systems modeled include cell development, the beating heart, and the spread and control of epidemics
- Includes easy-to-use software modules that require no prior experience to use
- Includes supplementary material: sn.pub/extras
Part of the book series: Modeling Dynamic Systems (MDS)
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Table of contents (45 chapters)
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Front Matter
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Physical and Biochemical Models
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Front Matter
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Genetics Models
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Front Matter
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Models of Organisms
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Front Matter
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About this book
Reviews
“I found this book to be a delightful introduction to symbolic programming using STELLA. … I would recommend this text to a reader interested in model development using symbolic programming tasks.” (Megan Sawyer, MAA Reviews, October, 2015)
Authors and Affiliations
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University of Illinois, Urbana, USA
Bruce Hannon
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Northeastern University, Boston, USA
Matthias Ruth
About the authors
Dr. Matthias Ruth is a full professor with appointments in the School of Public Policy and Urban Affairs and the Department of Civil and Environmental Engineering at Northeastern University.
Dr. Bruce Hannon is Jubilee Professor (Emeritus) of Liberal Arts and Sciences at the University of Illinois, Urbana-Champaign.
Bibliographic Information
Book Title: Modeling Dynamic Biological Systems
Authors: Bruce Hannon, Matthias Ruth
Series Title: Modeling Dynamic Systems
DOI: https://doi.org/10.1007/978-3-319-05615-9
Publisher: Springer Cham
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-05614-2Published: 28 July 2014
Softcover ISBN: 978-3-319-30764-0Published: 28 July 2014
eBook ISBN: 978-3-319-05615-9Published: 05 July 2014
Series ISSN: 2199-2606
Series E-ISSN: 2199-2614
Edition Number: 2
Number of Pages: XVI, 434
Number of Illustrations: 18 b/w illustrations, 280 illustrations in colour
Topics: Ecology, Mathematical and Computational Biology, Population Economics, Biochemistry, general, Models and Principles