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.
Matlab Handouts and Links