This asynchronous online bridge course is specifically designed to help students satisfy the linear algebra admissions requirements for Michigan Tech's Online MS in Applied Statistics, an innovative ...

Linear algebra is a fundamental tool in many fields, including mathematics and statistics, computer science, economics, and the physical and biological sciences. This undergraduate textbook offers a ...

An introduction to proofs and the axiomatic methods through a study of the vector space axioms. Linear analytic geometry. Linear dependence and independence, subspaces, basis. Inner products. Matrix ...

This title is available on our Higher Education website. Using a modern matrix-based approach, this rigorous second course in linear algebra helps upper-level undergraduates in mathematics, data ...

solving linear regression problems, often form the core of large scale computations. This course will describe efficient techniques for solving problems such as these. Both the theoretical foundations ...

Basic linear algebra methods including basic matrix/vector operations, solution of linear systems of equations, eigenvalues, and singular values. Focus will be on applications of the methods on a ...

At the risk of resurfacing near-traumatic feelings for any readers, I want to share the introduction to the first chapter of the undergradua ...

Courses in this domain include MATH 51: “Linear Algebra, Multivariable Calculus, and Modern Application” and SYMSYS 1: “Minds and Machines,” among many others. The latter is a gateway course for the ...

This is an introductory level course for those who wish to use mathematics seriously in finance or economics. A range of basic mathematical concepts and methods in calculus of one and several ...

This course is available with permission to General Course students. This course develops ideas first presented in MA100. It consists of the linear algebra part of MA212, covering the following topics ...

Vector spaces, linear transformation, matrix representation, inner product spaces, isometries, least squares, generalised inverse, eigen theory, quadratic forms, norms, numerical methods. The fourth ...