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.