Topics covered: One-variable calculus including inverse functions, local inverses, critical points, optimisation, integration and differential equations, Functions of several variables including ...

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.

This is a 10-week bridge course that prepares students for the fundamentals of linear algebra as they are used in Applied Statistics courses.

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

Numerical Linear Algebra by Trefethen and Bau Lecture notes (R.Morrison) Canvas for announcements, class recordings, and grading Slack for questions about the course and student - led discussions (See ...

This Guy Learned Linear Algebra in Ten Days, And You Can Too At MIT you can take a ton of science classes online. And, in true MIT fashion, someone just did them all at an extraordinary speed ...

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 ...

Such functions are called linear, for reasons that I'll explain soon enough (well, we generally want another condition for linear functions involving scalar multiples of the variable, but I'll ...