SLN 10062, MWF 12:00-1:00, LOW 105
Instructor: Yuan Gao (email@example.com)
Office Hour: WTh 4:00-5:00 Lewis 129
The course is an introduction to mathematical modeling, with a focus on modeling using differential equations. We will mostly explore continuous problem formulations in natural sciences, yet some social science models will be covered as well.
Topics in Mathematical Modeling, by K.K. Tung. Princeton University Press.
Students are required to have successfully completed AMATH351 or AMATH307, or an equivalent class, and are expected to have knowledge of differential equations. Matlab programming is required for homework assignments.
The Mathematical Cotest in Modeling
Matlab and computing resources in Instructional Computing Lab, B022 Communications
Matlab Tutorial by Prof. Nathan Kutz. There is a corresponding coursera course for this.
Potential Project Topics
Sample Project Paper
|Homework||Due Date||Solution||Sample Program|
|Homework1||July 5th, 12:00pm||Solution||assignment_1.m|
|Homework2||July 12th, 12:00pm||Solution||assignment_2.m|
|Homework3||July 19th, 12:00pm||Solution||spiral_plot.m|
|Homework4 Starter Code Dropbox||July 28th, 11:00pm||Best Solutions|
|Homework5||August 2nd, 12:00pm||Solution|
|Homework6||August 16th, 12:00pm||Solution|
|Final Project Dropbox||August 25th, 11:00pm|
There is no exam. Homework assignments count for 60% of the grade. Final group project counts for 40% of the grade.
Collaboration is encouraged, but students are expected to write their own solutions. No late homework is accepted. Homework will be due before class on Friday unless otherwise specified.
Final group project can be done individually or in groups of at most three. Each group should submit a project proposal before July 26th. The final report should be a well-typed paper summerizing the work you have done, and will be due on August 25th.