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

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Using Neural Networks to Identify Bird Species from Birdsong Samples,s and the construction of convolutional neural networks for solving classification problems. We give some ideas for extending our results on bird species classification, as well as ideas for using related neural networks for broader application to image and audio classification.

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Textbook 2020duate-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 pro

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Simulating Bacterial Growth, Competition, and Resistance with Agent-Based Models and Laboratory Exp in order to simulate and analyze antibiotic resistance and its effect on the planet. we will present a selection of research projects throughout the later portion of the chapter for you to further explore antibiotic resistance and other contexts of bacteria.

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https://doi.org/10.1007/978-3-322-88755-9and more recently, coupled predator–prey dynamics. We walk the reader through the applications of these methods to several common ecological models and present research opportunities to extend these techniques to other models to address specific ecological issues and phenomena.

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Die anachronistische Souver?nit?tchapter, we will develop the probability theory and algorithms for two types of problems that HMMs can solve—calculate the probability that a particular sequence of observations occurs and determine the most likely corresponding sequence of hidden states. The chapter will end with a collection of research projects appropriate for undergraduates.