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An Introduction to Undergraduate Research in Computational and Mathematical Biology: From Birdsongs to Viscosities - Couverture souple
Synopsis
Speaking directly to the growing importance of research experience in undergraduate mathematics programs, this volume offers suggestions for undergraduate-appropriate research projects in mathematical and computational biology for students and their faculty mentors. The aim of each chapter is twofold: for faculty, to alleviate the challenges of identifying accessible topics and advising students through the research process; for students, to provide sufficient background, additional references, and context to excite students in these areas and to enable them to successfully undertake these problems in their research.
Some of the topics discussed include:
- Oscillatory behaviors present in real-world applications, from seasonal outbreaks of childhood diseases to action potentials in neurons
- Simulating bacterial growth, competition, and resistance with agent-based models and laboratory experiments
- Network structure and the dynamics of biological systems
- Using neural networks to identify bird species from birdsong samples
- Modeling fluid flow induced by the motion of pulmonary ciliaAimed at undergraduate mathematics faculty and advanced undergraduate students, this unique guide will be a valuable resource for generating fruitful research collaborations between students and faculty.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Hannah Callender Highlander is an Associate Professor of Mathematics at the University of Portland in Portland, Oregon.
Alex Capaldi is an Associate Professor of Mathematics and Statistics at Valparaiso University in Valparaiso, Indiana.
Carrie Diaz Eaton is an Associate Professor of Digital and Computational Studies at Bates College in Lewiston, Maine.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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An Introduction to Undergraduate Research in Computational and Mathematical Biology: From Birdsongs to Viscosities (Foundations for Undergraduate Research in Mathematics)
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An Introduction to Undergraduate Research in Computational and Mathematical Biology : From Birdsongs to Viscosities
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An Introduction to Undergraduate Research in Computational and Mathematical Biology
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Springer Nature Switzerland AG, CH, 2021
ISBN 10 : 3030336476
ISBN 13 : 9783030336479
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Paperback. Etat : New. 2020 ed. Speaking directly to the growing importance of research experience in undergraduate mathematics programs, this volume offers suggestions for undergraduate-appropriate research projects in mathematical and computational biology for students and their faculty mentors. The aim of each chapter is twofold: for faculty, to alleviate the challenges of identifying accessible topics and advising students through the research process; for students, to provide sufficient background, additional references, and context to excite students in these areas and to enable them to successfully undertake these problems in their research.Some of the topics discussed include: .Oscillatory behaviors present in real-world applications, from seasonal outbreaks of childhood diseases to action potentials in neurons.Simulating bacterial growth, competition, and resistance with agent-based models and laboratory experiments.Network structure and the dynamics of biological systems.Using neural networks to identify bird species from birdsong samples.Modeling fluid flow induced by the motion of pulmonary ciliaAimed at undergraduate mathematics faculty and advanced undergraduate students, this unique guide will be a valuable resource for generating fruitful research collaborations between students and faculty. N° de réf. du vendeur LU-9783030336479
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An Introduction to Undergraduate Research in Computational and Mathematical Biology
Edité par
Springer Nature Switzerland AG, CH, 2021
ISBN 10 : 3030336476
ISBN 13 : 9783030336479
Neuf
Paperback
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
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Paperback. Etat : New. 2020 ed. Speaking directly to the growing importance of research experience in undergraduate mathematics programs, this volume offers suggestions for undergraduate-appropriate research projects in mathematical and computational biology for students and their faculty mentors. The aim of each chapter is twofold: for faculty, to alleviate the challenges of identifying accessible topics and advising students through the research process; for students, to provide sufficient background, additional references, and context to excite students in these areas and to enable them to successfully undertake these problems in their research.Some of the topics discussed include: .Oscillatory behaviors present in real-world applications, from seasonal outbreaks of childhood diseases to action potentials in neurons.Simulating bacterial growth, competition, and resistance with agent-based models and laboratory experiments.Network structure and the dynamics of biological systems.Using neural networks to identify bird species from birdsong samples.Modeling fluid flow induced by the motion of pulmonary ciliaAimed at undergraduate mathematics faculty and advanced undergraduate students, this unique guide will be a valuable resource for generating fruitful research collaborations between students and faculty. N° de réf. du vendeur LU-9783030336479
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Introduction to Undergraduate Research in Computational and Mathematical Biology : From Birdsongs to Viscosities
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AN INTRODUCTION TO UNDERGRADUATE RESEARCH IN COMPUTATIONAL AND MATHEMATICAL BIOLOGY
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Introduction to Undergraduate Research in Computational and Mathematical Biology : From Birdsongs to Viscosities
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AN INTRODUCTION TO UNDERGRADUATE RESEARCH IN COMPUTATIONAL AND MATHEMATICAL BIOLOGY
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Introduction to Undergraduate Research in Computational and Mathematical Biology : From Birdsongs to Viscosities
Edité par
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ISBN 10 : 3030336476
ISBN 13 : 9783030336479
Ancien ou d'occasion
Couverture souple
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An Introduction to Undergraduate Research in Computational and Mathematical Biology
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