Math 140 is an undergraduate course for students in the life sciences in which students learn to differentiate and integrate functions and to gain a conceptual understanding of the mathematical tools used to describe change.  Applications address biological systems.

Math 340/Biol 340 is an interdisciplinary undergraduate course introducing students to mathematical biology and modeling. Various life science topics and modeling applications are covered, with a focus on population dynamics in epidemiology, immunology and infectious diseases. The course offers hands-on experience with model simulation.

Biol 565 is an interdisciplinary graduate course that focuses on understanding basic, theoretical and applied approaches to modern disease ecology problems, including emerging infectious diseases of humans and wildlife (e.g., HIV, TB, flu, malaria, Lyme Disease, Yellow Fever).

Biol 579/Math 579 is a graduate course on mathematical modeling for students in life sciences. It covers the theory and techniques of modeling, with an emphasis on current literature. Topics focus on population dynamics of various biological systems, using deterministic models, stochastic models, network models, agent-based models, and other quantitative modeling techniques.

Math 583 is a graduate course that provides the opportunity to delve into the theory, methods, and techniques in the mathematical modeling of infectious disease dynamics. Topics include deterministic and stochastic models, networks, agent-based modeling, data analysis, computational implementation, and examination of current literature in this expanding field.