Spring 2022

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. Spring semester. Professor Leise.

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. Students with documented disabilities who will require accommodations in this course should be in consultation with Accessibility Services and reach out to the faculty member as soon as possible to ensure that accommodations can be made in a timely manner.

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

This is preliminary information about books for this course. Please contact your instructor or the Academic Coordinator for the department, before attempting to purchase these books.

ISBN Title Publisher Author(s) Comment Book Store Price
Growing Artificial Societies MIT Press Epstein & Axtell Amherst Books TBD
Signal and the Noise Penguin Press Nate Silver Amherst Books TBD

These books are available locally at Amherst Books.


Other years: Offered in Fall 2008, Fall 2012, Fall 2014, Spring 2016, Fall 2017, Spring 2019, Spring 2021, Spring 2022, Spring 2023, Spring 2024