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MATH-111(pi): Linear algebra (flipped classroom)
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Lectures in this course (14)
Linear Equations: Solutions and Conditions
Explores linear equations, infinity of solutions, and incompatible systems.
Linear Algebra: Basis Change and Matrices
Explores basis change in linear algebra and the role of matrices.
Orthogonally Diagonalizable Matrices
Explores orthogonally diagonalizable matrices, eigenvectors, bases, and matrix properties.
Linearly Dependent Vectors
Explores linearly dependent vectors in three-dimensional space and their impact on forming a basis.
Matrix Reversibility
Covers the concept of matrix reversibility and its conditions.
Matrix Operations: Determinants and Inverses
Covers the properties of matrices, focusing on determinants and inverses.
Matrix Transformation: Base Change
Explains matrix transformation in different bases and how to find the new matrix.
Dimension Calculation in Linear Algebra
Covers the calculation of dimensions in linear algebra, focusing on determining the dimension of the kernel of a given matrix.
Matrix Solutions: Infinite Possibilities
Explores the infinite solutions of a specific matrix equation for any choice of a constant.
Vector Subspaces and Canonical Forms
Introduces vector subspaces and canonical forms in polynomial spaces.
Linear Maps and Linear Independence
Explores linear maps and linear independence under surjective linear maps.
Matrix Multiplication: Associativity Property
Explores the associativity property of matrix multiplication for proving products equal to zero.
Matrix Operations: Elementary Matrices
Explores elementary matrix operations, inversion, and properties, including distributive multiplication.
Matrix Operations and Vector Spaces
Covers elementary matrix operations and vector spaces, including properties and conditions for invertibility.
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