An Introduction to Undergraduate Research in Computational and Mathematical Biology: From Birdsongs to Viscosities (Paperback, 2020)

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.