
edXLinear algebra is the language of data, physics, and engineering. This intermediate course starts where most do—systems of linear equations—but uses them as a gateway. You'll learn the systematic algorithms that solve them, then see how reframing problems as linear systems unlocks solutions.
The deeper concepts—linear independence, linear transformations, eigenvectors—aren't abstract. They're tools. They let you understand what's really happening when you reduce data dimensions, rotate coordinate systems, or model physical processes. By grounding theory in systematic methods and applications across industry and science, the course makes clear why these concepts matter and where you'd actually use them.
Systems of equations live at the heart of linear algebra. In this course you will explore fundamental concepts by exploring definitions and theorems that give a basis for this subject. At the start of this course we introduce systems of linear equations and a systematic method for solving them. This algorithm will be used for computations throughout the course as you investigate applications of linear algebra and more complex algorithms for analyzing them.
Later in this course you will later see how a system of linear equations can be represented in other ways, which can reduce problems involving linear combinations of vectors to approaches that involve systems of linear equations. Towards the end of the course we explore linear independence and linear transformations. They have an essential role throughout our course and in applications of linear algebra to many areas of industry, science, and engineering. __
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Tracking since 1 Aug— not enough history yet to tell you whether today's price is any good. Watch the course and we'll tell you when it drops.
This is what we recorded in US pricing — not every price this course has ever had, and prices differ by country.