Processes that change with time: introduction to dynamical systems -- Complex dynamics emerging from interacting dynamical systems -- Mathematics in genetics -- Quantitative genetics and statistics -- Risk analysis of blood glucose data -- Predicting septicemia in neonates -- Cooperative binding: how your blood transports oxygen -- Ligand binding, data fitting, and least-squares estimates of model parameters -- Endocrinology and hormone pulsatility -- Endocrine network modeling: feedback loops and hormone oscillations -- Detecting rhythms in confounded data -- Using microarrays to study gene expression patterns.

Essential for all biology and biomathematics courses, this textbook provides students with a fresh perspective of quantitative techniques in biology in a field where virtually any advance in the life sciences requires a sophisticated mathematical approach. An Invitation to Biomathematics, expertly written by a team of experienced educators, offers students a solid understanding of solving biological problems with mathematical applications. This text succeeds in enabling students to truly experience advancements made in biology through mathematical models by containing computer-based hands-on laboratory projects with emphasis on model development, model validation, and model refinement.