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This lecture covers the basics of linear algebra, including the definition of linear maps, canonical bases, and matrix operations. It explains how to express vectors in different bases, determine the kernel and image of linear maps, and solve systems of linear equations. The lecture also introduces the concept of dimensionality and provides examples of linear transformations in vector spaces.