Math 2.0

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Introduction to Abstract and Linear Algebra 2WMQEEH7QX

URIm2://res/2WMQEEH7QX
Kindcourse
CreatorsSourav Mukhopadhyay (instructor)
Date2018-07-27
Scopein
Idscourse 03w5sq511:111105112

Expressions

e1: edition

Languageen
Date2018-07-27
Contents
  • part 1: Week 1 :
  • session 1: Lecture 01 : Set Theory
  • session 2: Lecture 02 : Set Operations
  • session 3: Lecture 03 : Set Operations (contd.)
  • session 4: Lecture 04 : Set of sets
  • session 5: Lecture 05 : Binary relation
  • part 2: Week 2 :
  • session 6: Lecture 06 : Equivalence relation
  • session 7: Lecture 07 : Mapping
  • session 8: Lecture 08 : Permutation
  • session 9: Lecture 09 : Binary Composition
  • session 10: Lecture 10 : Groupoid
  • part 3: Week 3 :
  • session 11: Lecture 11 : Group
  • session 12: Lecture 12 : Order of an element
  • session 13: Lecture 13 : Subgroup
  • session 14: Lecture 14 : Cyclic Group
  • session 15: Lecture 15 : Subgroup Operations
  • part 4: Week 4 :
  • session 16: Lecture 16 : Left Cosets
  • session 17: Lecture 17 : Right Cosets
  • session 18: Lecture 18 : Normal Subgroup
  • session 19: Lecture 19 : Rings
  • session 20: Lecture 20 : Field
  • part 5: Week 5 :
  • session 21: Lecture 21 : Vector Spaces
  • session 22: Lecture 22 : Sub-Spaces
  • session 23: Lecture 23 : Linear Span
  • session 24: Lecture 24 : Basis of a Vector Space
  • session 25: Lecture 25 : Dimension of a Vector space
  • part 6: Week 6 :
  • session 26: Lecture 26 : Complement of subspace
  • session 27: Lecture 27 : Linear Transformation
  • session 28: Lecture 28 : Linear Transformation (cont...)
  • session 29: Lecture 29 : More on linear mapping
  • session 30: Lecture 30 : Linear Space
  • part 7: Week 7 :
  • session 31: Lecture 31 : Rank of a matrix
  • session 32: Lecture 32 : Rank of a matrix (cont....)
  • session 33: Lecture 33 : System of linear equations
  • session 34: Lecture 34 : Row rank and Column rank
  • session 35: Lecture 35 : Eigen value of a matrix
  • part 8: Week 8 :
  • session 36: Lecture 36 : Eigen Vector
  • session 37: Lecture 37 : Geometric multiplicity
  • session 38: Lecture 38 : More on eigen value
  • session 39: Lecture 39 : Similar matrices
  • session 40: Lecture 40 : Diagonalisable

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