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An introduction to undergraduate res...
~
Callender Highlander, Hannah.
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An introduction to undergraduate research in computational and mathematical biology = from birdsongs to viscosities /
Record Type:
Electronic resources : Monograph/item
Title/Author:
An introduction to undergraduate research in computational and mathematical biology/ edited by Hannah Callender Highlander, Alex Capaldi, Carrie Diaz Eaton.
Reminder of title:
from birdsongs to viscosities /
other author:
Callender Highlander, Hannah.
Published:
Cham :Springer International Publishing : : 2020.,
Description:
xii, 469 p. :ill., digital ;24 cm.
[NT 15003449]:
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.
Contained By:
Springer eBooks
Subject:
Computational biology - Research. -
Online resource:
https://doi.org/10.1007/978-3-030-33645-5
ISBN:
9783030336455
An introduction to undergraduate research in computational and mathematical biology = from birdsongs to viscosities /
An introduction to undergraduate research in computational and mathematical biology
from birdsongs to viscosities /[electronic resource] :edited by Hannah Callender Highlander, Alex Capaldi, Carrie Diaz Eaton. - Cham :Springer International Publishing :2020. - xii, 469 p. :ill., digital ;24 cm. - Foundations for undergraduate research in mathematics,2520-1212. - Foundations for undergraduate research in mathematics..
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.
ISBN: 9783030336455
Standard No.: 10.1007/978-3-030-33645-5doiSubjects--Topical Terms:
1361607
Computational biology
--Research.
LC Class. No.: QH324.2 / .I587 2020
Dewey Class. No.: 570.285
An introduction to undergraduate research in computational and mathematical biology = from birdsongs to viscosities /
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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.
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Mathematics and Statistics (Springer-11649)
based on 0 review(s)
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EB QH324.2 .I587 2020
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