Brief Description of Course Content Introduces the fundamentals of linear algebra in the context of computer science applications. Includes vector spaces, matrices, linear systems, and eigenvalues.

Course Overview 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, ...

Python for Linear Algebra 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 ...

Id: 008440 Credits Min: 3 Credits Max: 3 Description Computations that involve matrix algorithms are happening everywhere in the world at every moment in time, whether these be embedded in the ...

Id: 008281 Credits Min: 3 Credits Max: 3 Description Elementary set theory and solution sets of systems of linear equations. An introduction to proofs and the axiomatic methods through a study of the ...

Introduces ordinary differential equations, systems of linear equations, matrices, determinants, vector spaces, linear transformations, and systems of linear differential equations. Prereq., APPM 1360 ...

The central goals of most introductory linear algebra courses are to develop students' proficiency with matrix techniques, to promote their understanding of key concepts, and to increase their ability ...

Marcio Diniz, Asset Pricing, Financial Markets, and Linear Algebra, The College Mathematics Journal, Vol. 44, No. 1 (January 2013), pp. 2-8 ...