Mathematical Models and Methods in Biology

Catalog description

Introduces mathematical models in Biology and their analysis. Studies one-dimensional models (including the Malthusian Model and the logistic model), and multi-dimensional models (including structured population models and predator-prey models), as well as matrix models for base substitution in DNA, phylogenetic trees, and sequence alignment. Mathematical concepts and methods to formulate and analyze these models include limits, derivatives, matrix algebra, eigenvectors, probability theory, and dynamic programming. Uses software to simulate models and visualize the numerical results. Enrollment Requirement(s): MATH 150 or MATH 160 with a grade of C (2.0) or better.