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 ...

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 ...

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, ...

Additionally, students must always refer to course syllabus for the most up to date information. Introduces the fundamentals of linear algebra in the context of computer science applications. Includes ...

Studies in Real and Complex Analysis” will require a 75-minute in-person midterm exam later this month, in a change from past ...

These pages provide a showcase of how to use Python to do computations from linear algebra. We will demonstrate both the NumPy (SciPy) and SymPy packages. This is meant to be a companion guide to a ...

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 ...