Basic concepts of linear algebra. Matrices, determinants, systems of linear equations, vector spaces, linear transformations, and eigenvalues. Prerequisite or corequisite: MATH 132, or 136, or consent ...

In engineering classrooms, the disconnect between rigorous mathematical concepts and their practical applications can hinder ...

[1] A. Melman (2023): “Matrices whose eigenvalues are those of a quadratic matrix polynomial”, Linear Algebra and its Applications, 676, 131—149. [2] A. Melman (2022): “Rootfinding techniques that ...

Introduces linear algebra and matrices with an emphasis on applications, including methods to solve systems of linear algebraic and linear ordinary differential equations. Discusses vector space ...

Carefully sequenced, exam-style questions and complete worked solutions help students develop fluency with matrix algebra. Contextual problems, including multi-variable sales models, strengthen ...

Faculty & Staff Course Descriptions Learning Outcomes Requirements What Can You Do With a Math Degree? Faculty & Staff Course Descriptions Learning Outcomes Requirements What Can You Do With a Math ...