

MATH 056. ModelingAn introduction to the formulation and analysis of mathematical models. This course will present a general framework for the development of discrete, continuous, and graphical models of diverse phenomena. Principles of modeling will be drawn from kinetics, population dynamics, traffic flow, diffusion, continuum mechanics, cellular automata, and network science. Mathematical techniques for understanding models will be emphasized, including dimensional analysis, phase plane diagrams, stability analysis, bifurcation theory, conservation laws, steadystate solutions, and computer simulation. Specific applications from chemistry, biology, physics, engineering, and neuroscience will be discussed. A primary goal of this course is to give insights into the connections between mathematics and realworld problems, allowing students to apply the course concepts to applications that excite them. Prerequisite: Linear algebra and basic differential equations, or permission of the instructor. Natural sciences and engineering. 1 credit. Eligible for ENVS Fall 2017. Barranca. Fall 2019. Staff. Catalog chapter: Mathematics and Statistics Department website: http://www.swarthmore.edu/mathematicsstatistics
Check the Fall 2017 Schedule of Courses 

