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An Introduction to Undergraduate Research in Computational and Mathematical Biology: From Birdsongs to Viscosities: Foundations for Undergraduate Research in Mathematics

Editat de Hannah Callender Highlander, Alex Capaldi, Carrie Diaz Eaton
en Limba Engleză Paperback – 18 feb 2021
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 cilia Aimed 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.


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Specificații

ISBN-13: 9783030336479
ISBN-10: 3030336476
Pagini: 469
Ilustrații: XII, 469 p. 107 illus., 57 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.74 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Birkhäuser
Seria Foundations for Undergraduate Research in Mathematics

Locul publicării:Cham, Switzerland

Cuprins

Building New Models: Rethinking and Revising ODE Model Assumptions: Paul J. Hurtado.- A Tour of the Next Generation Reproductive Number and the Next Generation of Researchers.- The Effect of External Perturbations on Ecological Oscillators: Eli E. Goldwyn.- Exploring Modeling by Programming: Insights from Numerical Experimentation: Brittany E. Bannish and Sean M. Laverty.- Simulating Bacterial Growth, Competition, and Resistance with Agent-Based Models and Laboratory Experiments: Anne E. Yust and Davida S. Smyth.- Agent-Based Modeling in Undergraduate Biology: A Few Examples: Alexandra Ballow, Lindsey Chludzinski, and Alicia Prieto-Langarica.- Network Structure and Dynamics of Biological Systems: Deena Schmidt.- What Are The Chances? -Hidden Markov Models: Angela B. Shiflet, George W. Shiflet, Mario Cannataro, Pietro Hiram Guzzi, Chiara Zucco, Dmitry A. Kaplun.- Using Neural Networks to Identify Bird Species from Birdsong Samples: Russell Houpt, Mark Pearson, Paul Pearson, Taylor Rink,Sarah Seckler, Darin Stephenson, and Allison VanderStoep.- Using Regularized Singularities to Model Stokes Flow: A Study of Fluid Dynamics Induced by Metachronal Ciliary Waves: Elizabeth L. Bouzarth, Kevin R. Hutson, Zachary L. Miller, and Mary Elizabeth Saine.

Notă biografică

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.

Textul de pe ultima copertă

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 cilia

Aimed 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.


Caracteristici

Simplifies the process of identifying suitable, open research problems in mathematical and computational biology for undergraduate students and their advisers Comprised of self-contained chapters that provide recommendations for undergraduate-accessible research problems, as well as the necessary mathematical fundamentals for undertaking these problems Provides lists of prerequisite courses for each suggested research topic