Fall 2017

Mathematical Modeling

Listed in: Mathematics and Statistics, as MATH-140

Formerly listed as: MATH-14


Tanya L. Leise (Section 01)


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. Fall semester.  Professor Leise.

If Overenrolled: Preference will be given to non-quantitative majors


Attention to Writing, Quantitative Reasoning, Science & Math for Non-majors


2021-22: Offered in Spring 2022
Other years: Offered in Fall 2008, Fall 2012, Fall 2014, Spring 2016, Fall 2017, Spring 2019, Spring 2021