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

Elementary set theory and solution sets of systems of linear equations. An introduction to proofs and the axiomatic methods through a study of the vector space axioms. Linear analytic geometry. Linear ...

Fundamentally, the "big picture" of linear algebra is that of linear transformations. The application of it to solving systems of equations is a convenient introductory point.

Linear algebra seems to crop up in all kinds of algorithms in computer science. I took linear algebra in college, and have managed to forget nearly everything about it. I've looked at linear ...

Application projects that culminate in a public poster presentation are a great way to help students learn not only linear algebra and its applications but also presentations skills and a few ...

A range of basic mathematical concepts and methods in calculus of one and several variables and in linear algebra are covered and some applications illustrated. It is an essential pre-requisite for ...

The teaching and learning of linear algebra have evolved significantly over recent decades, underpinned by diverse approaches ranging from theoretical expositions to dynamic, model-based ...

MATH.5640 — Graduate Id: 008440 Offering: 1 Credits: 3-3 Description Computations that involve matrix algorithms are happening everywhere in the world at every moment in time, whether these be ...

Students should ideally have taken the course Mathematical Methods (MA100) or equivalent, entailing intermediate-level knowledge of linear algebra, linear independence, eigenvalues and diagonalisation ...