| Matrices 
                
                  | Topic Review on "Title": |  
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                                  Definition of a matrix: 
                                    Any 2-dimensional array of real or complex  numbers.  Square matrix: 
                                    A matrix  of type  . Diagonal: 
                                    The entries of a square matrix in the i-th  line and i-th column (same index i), for some i. Identity matrix: 
                                    A square matrix with 1’s on the diagonal  and 0’s off the diagonal. Zero matrix: 
                                                                        Any matrix (of any type), with only zero entries. Definition of a 2-dimensional matrix: 
                                    We define of a 2-dimensional matrix as:  . Definition of the rank of a matrix: 
                                    The rank of a matrix A is the greatest n  such that A has a square sub-matrix of type nxn with determinant not equal to  zero. Definition of an invertible matrix: 
                                    We say a square matrix A is invertible if  there exits a (square) matrix  such that  =identity matrix. Cramer’s Rule: 
                                    If  is a square matrix,  then the equation  has a unique solution  if and only if  and the solution is  . |  
 
                
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                  | "Title" Tutorial Summary : |  
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                                  Linear systems can be solved with the use of matrices. Matrix  properties and operations facilitated the arrival to solutions with fewer  calculations. Some examples show matrix computations and the nature of their  solutions. The idea of Cramer’s rule can be formulated with the use of  matrices. Cramer’s rule is a famous rule that uses determinants to finding  solutions to a system of equations. The addition or multiplication of rows and  columns in a matrix allow matrices to be reduced. |  
 
                
                  | Tutorial Features: |  
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                                  Specific Tutorial Features:•	Matrix operations are shown in some of the examples.
 •	Matrix computations are presented in the examples.
 •	Step by step explanation of the rank of a matrix with respect to a determinant is shown in a couple of examples.
 Series Features:•	Concept map showing inter-connections of new concepts in this tutorial and those previously introduced.
 •	Definition slides introduce terms as they are needed.
 •	Visual representation of concepts
 •	Animated examples—worked out step by step
 •	A concise summary is given at the conclusion of the tutorial.
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                  | "Title" Topic List: |  
                  | The definition of matricesMatrices
 The sum and product of matrices
 Determinants
 Matrices that are two dimensional
 Matrices that are three dimensional
 A rank of a matrix
 Linear systems and the rank of a matrix
 Matrix Inverse
 Definition of the inverse of a matrix
 Cramer’s Rule
 Matrix Reduction
 Definition of equivalent matrices
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