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An Introduction to Undergraduate Research in Computational and Mathematical Biology

- From Birdsongs to Viscosities

Bag om An Introduction to Undergraduate Research in Computational and Mathematical Biology

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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  • Sprog:
  • Engelsk
  • ISBN:
  • 9783030336448
  • Indbinding:
  • Hardback
  • Sideantal:
  • 469
  • Udgivet:
  • 18. februar 2020
  • Udgave:
  • 12020
  • Størrelse:
  • 155x235x0 mm.
  • Vægt:
  • 887 g.
  • 8-11 hverdage.
  • 9. december 2024
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Beskrivelse af An Introduction to Undergraduate Research in Computational and Mathematical Biology

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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