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.

Topics include systems of linear equations, matrix algebra, elementary matrices, and computational issues. Other areas of the course focus on the real n-space, vector spaces and subspaces, basis and ...

In the fast-evolving world of data science, linear algebra remains more than just a subject; it’s the silent engine driving everything from recommendation systems to deep neural networks. This segment ...

This course focuses on lines and planes, the geometry and algebra of vectors, systems of linear equations, matrix algebra, linear independence, spanning sets, basis, linear transformations, ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Solving equations with light. (Courtesy: iStockphoto/Henrik Jonsson) 3 x + y = 2 x + 3 y = 0 It’s the sort of easy maths problem that you can work out in a few minutes using pencil and paper, but ...

MATH.2210 — Undergraduate Id: 008281 Offering: 1 Credits: 3-3 Description Elementary set theory and solution sets of systems of linear equations. An introduction to proofs and the axiomatic methods ...

Immersive Math was developed over the span of three years by a three-man team with academic backgrounds in mathematics, computer graphics, and image coding. The team, who worked on the project on ...