An Introduction to Undergraduate Research in Computational and Mathematical Biology
Description
Speaking directly to the growing importance of research experience in undergraduate mathematics programs, this volume offers suggestions for undergraduate-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 provide sufficient background, additional references, and context to excite students in these areas and to enable them to successfully undertake these problems in their research.
Some of the topics discussed include:
Oscillatory behaviors present in real-world applications, from seasonal outbreaks of childhood diseases to action potentials in neurons
Simulating bacterial growth, competition, and resistance with agent-based models and laboratory experiments
Network structure and the dynamics of biological systems
Using neural networks to identify bird species from birdsong samples
Modeling fluid flow induced by the motion of pulmonary ciliaAimed at undergraduate mathematics faculty and advanced undergraduate students, this unique guide will be a valuable resource for generating fruitful research collaborations between students and faculty.
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Persons
Alex Capaldi is an Associate Professor of Mathematics and Statistics at Valparaiso University in Valparaiso, Indiana.
Carrie Diaz Eaton is an Associate Professor of Digital and Computational Studies at Bates College in Lewiston, Maine.
