MATH 533 - Applied Matrix Techniques

Credit(s): 3
Lecture: 3
Non-Lecture: 0

Many models can be formulated as a system of linear equations. The main emphasis of this course is to investigate a number of models that can be solved using matrix techniques and linear algebra. Applications may include, but are not limited to, Least Squares Fitting of Data, Markov Chains, and Population Growth Models.

Prerequisite(s): A course in Elementary Linear Algebra.