1. Courses
  2. MTH231

Linear Algebra

  • Teacher
    Syedah Maedah Kazmi
  • Category
    Mathematics & Statistics
  • Course Code
    MTH231
  • Session
    Fall 2020

Course Material/Videos

Available Resources
15560 Lecture 1 - Introduction to linear equations and their solutions Video Notes
15561 Lecture 2 - row echelon and reduced row echelon forms Video Notes
15993 Lecture 3 - converting matrix to echelon and reduced echelon form Video Notes
15992 Lecture 4 - solving linear equations using gaussian and gauss jordan techniques Video Notes
16646 Lecture 4 - homogeneous and non homogeneous systems and solutions Video Notes
16647 Lecture 4 - inverse of matrices Video Notes
16648 Lecture 4 - finding inverse practical method Video Notes
16649 Lecture 5 - determinants part 1 Video Notes
16650 Lecture 5 - properties of determinants(part II) Video Notes
17062 Lecture 6 - remaining properties of determinants part 1 Video Notes
17063 Lecture 6 - cofactor and minor of A (part II) Video Notes
17064 Lecture 7 - determinant using cofactors part 1 Video Notes
17065 Lecture 7 - vectors in plane and space part 11 Video Notes
18513 Lecture 8 - vector spaces Video Notes
19175 Lecture 9 - subspaces Video Notes
19176 Lecture 10 - spanning sets Video Notes
19177 Lecture 11 - linearly independence Video Notes
19178 Lecture 12 - basis and dimension Video Notes
20025 Lecture 13 - homogeneous and non homogeneous systems their basis and dimension Video Notes
20026 Lecture 14 - basis and dimension of row or column space part I Video Notes
20027 Lecture 14 - Theorems related to rank of a matrix part 2 Video Notes
20028 Lecture 15 - matrix transformation part I Video Notes
20029 Lecture 15 - application in graphics part II Video Notes
20030 Lecture 16 - linear transformation and cryptology Video Notes
20679 Lecture 17 - kernal and range of linear transformation part 1 Video Notes
20680 Lecture 17 - Kernal and range of linear transformation part 2 Video Notes
22011 Lecture 18 - matrix of linear transformation part 1 Video Notes
22012 Lecture 18 - matrix of linear transformation part 2 Video Notes
22013 Lecture 19 - eigen values and eigen vectors Video Notes
22014 Lecture 20 - eigen values and eigen vectors extension Video Notes
22015 Lecture 21 - Diagonalization Video Notes
22016 Lecture 22 - Diagonalization of symmetric matrices Video Notes
22017 Lecture 23 - Gram-Schmidt process of normalization Video Notes

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