Spring 2023

Mathematical Modeling

Listed in: Mathematics and Statistics, as MATH-140

Faculty

Katherine E. Moore (Section 01)

Description

Mathematical modeling is the process of translating a real world problem into a mathematical expression, analyzing it using mathematical tools and numerical simulations, and then interpreting the results in the context of the original problem. Discussion of basic modeling principles and case studies will be followed by several projects from areas including biology and the social sciences (e.g., flocking and schooling behavior, disease spread in populations, generation of artificial societies). This course has no requisites; projects will be tailored to each student’s level of mathematical preparation. Four class hours per week, with occasional in-class computer labs.

Limited to 24 students. Spring semester. Professor Leise.

How to handle overenrollment: Preference is given to non-quantitative majors.

Students who enroll in this course will likely encounter and be expected to engage in the following intellectual skills, modes of learning, and assessment: Individual and group projects, Use of computational software, In-class group work, Weekly readings, Presentations, Short assignments.

Offerings

2022-23: Offered in Spring 2023