(Allow approximately 3.5 weeks for instruction, review, and assessment) Conceptual Category: Number and Quantity Enduring Understanding(s): Tennessee Finite Math Textbook Important Terms & Concepts (Chapter 6) Domain: Matrix Operations 6-1 Matrix Notation and Algebra Addition of matrices, column vector, coordinates of a vector, demand vector, dimension of a matrix, equality of matrices, .1 Use matrices to represent and manipulate Additional Resources external demand vector, input-output matrix, data, e.g., to represent payoffs or incidence Khan Academy Video –Precalculus - Matrices inverse of a matrix, Leontief model, matrix, relationships in a network. matrix addition, matrix multiplication, method .2 Multiply matrices by scalars to produce new of determining invertibility and computing the matrices, e.g., as when all of the payoffs in a inverse of a square matrix A, production game are doubled. schedule, row-by-column multiplication, row (Lessons 1-3) vector, scalar multiplication, technology matrix, .3 Add, subtract, and multiply matrices of Engageny Precalculus Module 2 Topic B the (I, j) entry in a matrix appropriate dimensions. (select from Lessons 4-13) Writing in Math Summarize how to perform matrix operations Task(s) on matrices. Explain how to find 4D 3C for two given matrices C and D with the same dimensions.
(Allow approximately 3.5 weeks for instruction, review, and assessment) Conceptual Category: Number and Quantity Domain: Matrix Operations .1 Use matrices to represent and manipulate data, e.g., to represent payoffs or incidence relationships in a network. .2 Multiply matrices by scalars to produce new matrices, e.g., as when all of the payoffs in a game are doubled. .3 Add, subtract, and multiply matrices of appropriate dimensions. Enduring Understanding(s): Tennessee Finite Math Textbook 6-1 Matrix Notation and Algebra Additional Resources Khan Academy Video –Precalculus - Matrices (Lessons 1-3) Engageny Precalculus Module 2 Topic B (select from Lessons 4-13) Task(s) Important Terms & Concepts (Chapter 6) Addition of matrices, column vector, coordinates of a vector, demand vector, dimension of a matrix, equality of matrices, external demand vector, input-output matrix, inverse of a matrix, Leontief model, matrix, matrix addition, matrix multiplication, method of determining invertibility and computing the inverse of a square matrix A, production schedule, row-by-column multiplication, row vector, scalar multiplication, technology matrix, the (I, j) entry in a matrix Writing in Math Summarize how to perform matrix operations on matrices. Explain how to find 4D 3C for two given matrices C and D with the same dimensions.
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