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 ...

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 ...

a mastery-based algebra course covering the arithmetic foundations of algebra, properties of real numbers, linear equations and inequalities and systems of linear equations. This course serves solely ...

Linear transformations. Linear operators, change of basis, inner product and the diagonalization problem. Quadratic forms. Convex sets and geometric programming, input/output models for an economy, ...

and systems of linear differential equations. Prereq., APPM 1360 or MATH 2300 (min. grade C-). Credit not granted for this course and both MATH 3130 and 4430. Usually offered every Fall, Spring, and ...

Since the AI major was introduced in fall 2024 two courses, Introduction to AI and Linear Algebra with Machine Learning ...

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 ...

Supplementary material may be drawn from the following two texts: Matrix Computations by Gene Golub and Charles van Loan, Johns Hopkins 2013 (third or fourth editions) Iterative Methods for Sparse ...

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

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 ...