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.

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: 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 ...

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, ...

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

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 ...

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 ...