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 cilia
Aimed 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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