Key ideas and mathematical methods used in applications of mathematics to various biological, ecological, physiological, and medical problems. The course derives, interprets, solves and simulates models of biological systems. Topics could include population models, evolution from trait and genetic perspectives and qualitative analysis of ODEs. Prerequisite: MATH 260 with a minimum grade of C- or (MATH 155 with a minimum grade of A- and BISC 204 with a minimum grade of C-). Corequisite: BISC 204 may be taken as a corequisite. Strongly Recommended: Experience with a computing platform such as R, MATLAB, or Python. Quantitative.
Key ideas and mathematical methods used in applications of mathematics to various biological, ecological, physiological, and medical problems. The course derives, interprets, solves and simulates models of biological systems. Topics could include population models, evolution from trait and genetic perspectives and qualitative analysis of ODEs. Prerequisite: MATH 260 with a minimum grade of C- or (MATH 155 with a minimum grade of A- and BISC 204 with a minimum grade of C-). Corequisite: BISC 204 may be taken as a corequisite. Strongly Recommended: Experience with a computing platform such as R, MATLAB, or Python. Quantitative.
