Division III; Quantative/Formal Reasoning;
Cross-listed as MATH310 / BIOL210
This course will provide an introduction to the many ways in which mathematics can be used to understand, analyze, and predict biological dynamics. We will learn how to construct mathematical models that capture essential properties of biological processes while maintaining analytic tractability. Analytic techniques, such as stability and bifurcation analysis, will be introduced in the context of both continuous and discrete time models. Additionally, students will couple these analytic tools with numerical simulation to gain a more global picture of the biological dynamics. Possible biological applications include, but are not limited to, single and multi-species population dynamics, neural and biological oscillators, tumor cell growth, and infectious disease dynamics.
The Class: Type: tutorial
Requirements/Evaluation: problem sets, weekly meetings, final project and paper
Extra Info: may not be taken on a pass/fail basis; not available for the fifth course option
Prerequisites: MATH 250, MATH 209 or 309, permission of instructor
Enrollment Preference: if over-enrolled, will have students submit reasons for taking class; preference to those with interest in both subjects
Distributions: Division III; Quantative/Formal Reasoning;
Distribution Notes: QFR: The course will introduce methods for developing and analyzing mathematical models.
Attributes: PHLH Methods in Public Health;