A survey of contemporary methods and applications of discrete mathematical models focusing on graphs, networks, and trees in evolutionary biology, ecology, and epidemiology. Using discrete models and integrating real data, students will focus on understanding, analyzing, and applying recent scientific literature. Course may be repeated for credit under a different topic. Prerequisite: One of MATH 343, MATH 345, MATH 360, with a minimum grade of C-. Strongly Recommended: Experience with a computing platform such as R, MATLAB, or Python.
A survey of contemporary methods and applications of discrete mathematical models focusing on graphs, networks, and trees in evolutionary biology, ecology, and epidemiology. Using discrete models and integrating real data, students will focus on understanding, analyzing, and applying recent scientific literature. Course may be repeated for credit under a different topic. Prerequisite: One of MATH 343, MATH 345, MATH 360, with a minimum grade of C-. Strongly Recommended: Experience with a computing platform such as R, MATLAB, or Python.
