Spring 2025

Mathematical Modeling

Listed in: Mathematics and Statistics, as MATH-140


Joe Kraisler (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.

Limited to 24 students. Spring semester. Professor Moore.

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.

Course Materials


Other years: Offered in Fall 2012, Fall 2014, Spring 2016, Fall 2017, Spring 2019, Spring 2021, Spring 2022, Spring 2023, Spring 2025