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  • Courseware 
    MIT Open Courseware - Linear Algebra

    MIT Open Courseware - Linear Algebra

    This course has been designed for independent study. It provides everything you will need to understand the concepts covered in the course. The materials include:
    A complete set of Lecture Videos by Professor Gilbert Strang.
    Summary Notes for all videos along with suggested readings in Prof. Strang’s textbook Linear Algebra.
    Problem Solving Videos on every topic taught by an experienced MIT Recitation Instructor.
    Problem Sets to do on your own with Solutions to check your answers against when you’re done.
    A selection of Java® Demonstrations to illustrate key concepts.
    A full set of Exams with Solutions, including review material to help you prepare.

    Course related:
    AMA1120 Basic Mathematics II
    Subjects:
    Mathematics and Statistics
    Keywords:
    Algebras Linear
    Resource Type:
    Courseware
     
  • Video 
    Gilbert Strang lectures on Linear Algebra (MIT)

    Gilbert Strang lectures on Linear Algebra (MIT)

    Lecture videos from Gilbert Strang's course on Linear Algebra at MIT.

    Course related:
    AMA1120 Basic Mathematics II - Calculus and Linear Algebra
    Subjects:
    Mathematics and Statistics
    Keywords:
    Algebras Linear
    Resource Type:
    Video
     
  • Video 
    Intro: A New Way to Start Linear Algebra

    Intro: A New Way to Start Linear Algebra

    Professor Strang describes independent vectors and the column space of a matrix as a good starting point for learning linear algebra. His outline develops the five shorthand descriptions of key chapters of linear algebra.

    Course related:
    COMP4432 Machine Learning
    Subjects:
    Mathematics and Statistics
    Keywords:
    Algebras Linear
    Resource Type:
    Video
     
  • Courseware 
    Linear Algebra

    Linear Algebra

    This course offers a rigorous treatment of linear algebra, including vector spaces, systems of linear equations, bases, linear independence, matrices, determinants, eigenvalues, inner products, quadratic forms, and canonical forms of matrices.

    Subjects:
    Mathematics and Statistics
    Keywords:
    Algebras Linear
    Resource Type:
    Courseware