Media Storage Type : 32 GB USB Stick
NPTEL Subject Matter Expert : Prof.Inder Kumar Rana
NPTEL Co-ordinating Institute : IIT Bombay
NPTEL Lecture Count : 41
NPTEL Course Size : 11 GB
NPTEL PDF Text Transcription : Available and Included
NPTEL Subtitle Transcription : Available and Included (SRT)
Lecture Titles:
Lecture 1 - Introduction - I
Lecture 2 - Introduction - II
Lecture 3 - Introduction - III
Lecture 4 - Systems of Linear Equations - I
Lecture 5 - Systems of Linear Equations - II
Lecture 6 - Systems of Linear Equations - III
Lecture 7 - Reduced Row Echelon Form and Rank - I
Lecture 8 - Reduced Row Echelon Form and Rank - II
Lecture 9 - Reduced Row Echelon Form and Rank - III
Lecture 10 - Solvability of a Linear System, Linear Span, Basis - I
Lecture 11 - Solvability of a Linear System, Linear Span, Basis - II
Lecture 12 - Solvability of a Linear System, Linear Span, Basis - III
Lecture 13 - Linear Span, Linear Independence and Basis - I
Lecture 14 - Linear Span, Linear Independence and Basis - II
Lecture 15 - Linear Span, Linear Independence and Basis - III
Lecture 16 - Row Space, Column Space, Rank-Nullity Theorem - I
Lecture 17 - Row Space, Column Space, Rank-Nullity Theorem - II
Lecture 18 - Row Space, Column Space, Rank-Nullity Theorem - III
Lecture 19 - Determinants and their Properties - I
Lecture 20 - Determinants and their Properties - II
Lecture 21 - Determinants and their Properties - III
Lecture 22 - Linear Transformations - I
Lecture 23 - Linear Transformations - II
Lecture 24 - Linear Transformations - III
Lecture 25 - Orthonormal Basis, Geometry in R^2 - I
Lecture 26 - Orthonormal Basis, Geometry in R^2 - II
Lecture 27 - Orthonormal Basis, Geometry in R^2 - III
Lecture 28 - Isometries, Eigenvalues and Eigenvectors - I
Lecture 29 - Isometries, Eigenvalues and Eigenvectors - II
Lecture 30 - Isometries, Eigenvalues and Eigenvectors - III
Lecture 31 - Diagonalization and Real Symmetric Matrices - I
Lecture 32 - Diagonalization and Real Symmetric Matrices - II
Lecture 33 - Diagonalization and Real Symmetric Matrices - III
Lecture 34 - Diagonalization and its Applications - I
Lecture 35 - Diagonalization and its Applications - II
Lecture 36 - Diagonalization and its Applications - III
Lecture 37 - Abstract Vector Spaces - I
Lecture 38 - Abstract Vector Spaces - II
Lecture 39 - Abstract Vector Spaces - III
Lecture 40 - Inner Product Spaces - I
Lecture 41 - Inner Product Spaces - II