Mathematical Modeling
Math 350, Fall 2018

This course explores the process of building, analyzing, and interpreting mathematical descriptions of physical processes. Topics may include feature extraction, partial differential equations, neural networks, statistical models. The course will involve some computer programming, so previous programming experience is helpful, but not required.

There is no required text for this course. Class notes will be provided.

Beginning Material

Text Handouts

Exam Review Links

Take Home Exam Links

Matlab/Octave Notes