edX
edXIntroductory Linear Algebra
1k studentsINTERMEDIATEEnglish
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Linear Algebra for Practical Applications
Linear algebra is foundational—it's the mathematics underneath computer graphics, machine learning, and economics. This course builds from core concepts (matrices, linear transformations, subspaces) to practical methods like LU factorization for solving systems of equations.
What makes this intermediate course valuable: it connects abstract theory to real problems. Matrix algebra isn't taught as an end in itself but as a tool for modeling and solving problems in graphics rendering and economic analysis. You'll construct factorizations and use them, not just memorize them.
Best for: Computer science students, engineers, and anyone building quantitative models.
About this course
Evaluate mathematical expressions to compute quantities that deal with linear systems. ,Construct an LU factorization of a matrix and use it to solve linear systems of equations. ,Apply matrix algebra and linear transformations to solve and analyze problems in computer graphics and economics. ,Apply subspaces and invertibility to characterize and analyze matrices and solution sets of linear systems.
Price
$498
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