Titlebook: An Introduction to Undergraduate Research in Computational and Mathematical Biology; From Birdsongs to Vi Hannah Callender Highlander,Alex

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Exploring Modeling by Programming: Insights from Numerical Experimentation,rch. We provide a brief refresher on differential equations, model building, and programming, followed by in-depth discussions of how numerical experimentation was critical to three undergraduate research projects involving parasite transmission in feral cats, the role of protein regulation in estab

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Simulating Bacterial Growth, Competition, and Resistance with Agent-Based Models and Laboratory Expd exercises and provide practice with critical skills to assess your understanding throughout the chapter. The chapter ends by focusing on the capacious and global problem of antibiotic resistance, considered to be one of the most important public health threats of the twenty-first century. We will

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Network Structure and Dynamics of Biological Systems,d webs, epidemics spreading within populations, social networks, and many others. A fundamental question when studying biological processes represented as dynamic models on networks is to what extent the network structure is contributing to the observed dynamics. In other words, how does network con

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,What Are the Chances?—Hidden Markov Models,ation and gene discovery. With such problems, we have a sequence of observations that we are not certain is correct—we are not sure our observations accurately reveal the corresponding sequence of actual states, which are hidden—but we do know some important probabilities that will help us. In this

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Using Neural Networks to Identify Bird Species from Birdsong Samples,ience can be helpful is in species identification and enumeration from images or sound recordings. In this chapter, we develop the necessary tools for using machine learning to identify bird species from recordings of bird calls. This includes a basic introduction to wavelet transforms and scalogram

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