A Course on Mathematical Modeling for the Life Sciences

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Abstract

This paper introduces a course design for a post-Calculus undergraduate course on mathematical modeling for the life sciences. The course includes differential equations, discrete, and cellular automata approaches (among others) to modeling questions in the life sciences, as well as a variety of biological topics. The course focuses on model set-up and revision for these different scenarios and approaches as well as contemporary science approaches. Changes in student ranking of biology and math as well as student feedback are included. This paper may be of interest to any faculty member designing or revising a similar course or inserting modules on these topics into any related course.

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Norton, D. E. (2022). A Course on Mathematical Modeling for the Life Sciences. PRIMUS, 32(2), 154–167. https://doi.org/10.1080/10511970.2021.1881848

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