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 such as environmental studies and biology (e.g., air pollution, ground water flow, populations of interacting species, social networks). 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
Section 01
M 09:00 AM - 09:50 AM WEBS 102
W 09:00 AM - 09:50 AM WEBS 102
Th 09:00 AM - 09:50 AM WEBS 102
F 09:00 AM - 09:50 AM WEBS 102
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 | ||
| Agent-Based and Individual-Based Modeling: A Practical Introduction | Princeton U Press 2012 | Steven Railsback and Volker Grimm | Amherst Books | TBD | ||
| Signal and the Noise | Penguin Press | Nate Silver | Amherst Books | TBD |
These books are available locally at Amherst Books.