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      <title>Determinant of matrices, eigenvalues and eigenvectors</title>
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      <description>Determinants, eigenvalues, eigenvectors: geometric meaning, finding methods, and linear transformation essence.</description>
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      <title>Span, basis, and dimension</title>
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      <title>The four fundamental subspaces in Linear Algebra</title>
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      <description>&amp;#34;This is really the heart of this approach to linear algebra, to see these four subspaces, how they are related.&amp;#34; - Prof. Gilbert Strang</description>
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      <title>Solving Ax = b</title>
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      <description>Echelon form and matrix rank: row elimination, leading elements, and solving linear systems.</description>
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      <title>Vector spaces and subspaces</title>
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      <description>Vector spaces, subspaces, column space: 8 axioms, subspace properties, and linear combinations.</description>
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      <title>Basic concepts in Linear Algebra</title>
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