LECTURE 1: REVIEW OF LINEAR SYSTEMS 1 LECTURE 2: MATRICES AND ITS PROPERTIES 2 3 LECTURE 3: PROPERTIES OF MATRIX OPERATIONS 4 5 LECTURE 4: MATRIX REPRESENTATION OF LINEAR SYSTEMS 6 LECTURE 5 : THE REDUCED ROW ECHELON FORM OF A MATRIX 7 8 LECTURE 6: GAUSSIAN ELIMINATION AND GAUSS-JORDAN REDUCTION METHOD 9 LECTURE 7 : THE INVERSE OF A MATRIX 10 11 LECTURE 8 : DETERMINANTS 12 13 14 15 16 LECTURE 9 : VECTOR SPACES 17 18 LECTURE 10 : SPAN AND LINEAR INDEPENDENCE 19 20 21 LECTURE 11 : BASIS AND DIMENSION 22 23 LECTURE 12 : ORTHONORMAL BASES 24 25 LECTURE 13 : LINEAR TRANSFORMATIONS 26 27 LECTURE 14 : MATRIX OF A LINEAR TRANSFORMATION 28 29 LECTURE 15 : EIGENVALUES AND EIGENSPACES 30 31 LECTURE 16 : DIAGONALIZATION OF MATRICES 32 33 LECTURE 17 : ORTHOGONAL DIAGONALIZATION OF SYMMETRIC MATRICES 34 35 APPLICATIONS OF DETERMINANTS 36 37