DateSessionTopicWeBWorK
8/2811.2 Systems of Equations, Algebraic Procedures (Gaussian Elimination)Systems of Linear Equations
9/421.2 Systems of Equations, Algebraic Procedures (continued)Gaussian Elimination
9/932.1 Matrix Addition and Scalar Multiplication
2.2 Matrix Multiplication
2.3 The Transpose		Matrix Operations
9/1142.4 The Identity Matrix and Matrix Inverses
2.5 Finding the Inverse of a Matrix		The Inverse of a Matrix
9/1652.5 Finding the Inverse of a Matrix (continued)Characterizations of Invertible Matrices
9/1862.6 Elementary MatricesElementary Matrices
9/2373.1 Basic Techniques and Properties of DeterminantsIntroduction to Determinants
9/2583.1 Basic Techniques and Properties of Determinants (continue)Properties of Determinants
9/309Exam 1 (sessions 1-7)
10/7103.2 Applications of the Determinant (Cramer’s Rule)Cramer’s Rule
10/9114.1-4.2 Vectors in Rn
4.3 Length of a Vector		Vectors in Space
Norm and Distance
10/15124.4 Dot Product, ProjectionsDot Product
Projections
10/16134.5 Cross ProductCross Product
10/21144.6 Parametric Lines
4.7 Planes in R^3		Parametric Lines
Planes in R^3
10/23154.8 Spanning and Linear Independence in R^nSpanning Sets
10/28164.8 Spanning and Linear Independence in R^n (continued)Linear Independence
10/3017Review
11/418Midterm (1-16)
11/6194.9 Subspaces, Bases and DimensionSubspaces of R^n
Coordinates and Basis
11/11204.10 Row Space, Column Space and Null Space of a MatrixRow Column and Null Spaces
11/13214.11 Orthogonal and Orthonormal Sets and MatricesOrthogonal Sets
11/18225.1 Linear Transformations
5.2 The Matrix of a Linear Transformation I		Introduction to Linear Transformations
11/20235.9. The Coordinates of a Vector Relative to a Basis
11/25245.10 The Matrix of a Linear Transformation II
12/225Exam 3 (19-23)
12/4267.1 Eigenvalues and Eigenvectors of a MatrixEigenvectors and Eigenvalues
The Characteristic Equation
12/9277.2 DiagonalizationDiagonalization
12/11287.3 Raising a Matrix to a Higher Power
12/1629Review
12/1830Final Examination
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