Overview
Description
Formulation, analysis and critique of methods of mathematical modeling; selected applications in physics, biology, economics, political science and other fields.
Units
Lecture3
Catalog Details
Offering
Offered: Every Fall and Spring
Terms
fall, spring
Attributes
Standard
Learning Outcomes
- choose and apply key mathematical and statistical techniques for solving problems in a diverse collection of scientific disciplines.
- organize and clean data; critically assess the origin of the data and method of data analysis.
- interpret the results of the modeling process to reach sound scientific conclusions within the problem’s economic, scientific, and social context.
- propose a project (individually or in a group) and devise strategies and practices to do the research work that will lead, with the support of computational software (e.g. Maple, Mathematica, R, Matlab), to the writing of a technical report using professional typesetting software (e.g., LaTeX).