Linear Algebra – Foundations to Frontiers– edX

Linear Algebra – Foundations to Frontiers– edX ranks 7th in the list of best online Linear Algebra courses. Linear Algebra: Foundations to Frontiers (LAFF) is packed full of challenging, rewarding material that is essential for mathematicians, engineers, scientists, and anyone working with large datasets. Students appreciate unique approach to teaching linear algebra because:

  • It's visual.
  • It connects hand calculations, mathematical abstractions, and computer programming.
  • It illustrates the development of mathematical theory.
  • It's applicable.

In this course, you will learn all of the standard topics taught in typical undergraduate linear algebra courses around the world, but you will also learn more! LAFF was inspired by the syllabus of an introductory linear algebra course taught by Professor Robert van de Geijn, an expert on high performance linear algebra libraries, at The University of Texas at Austin. You will learn Vector and Matrix Operations, Linear Transformations, Solving Systems of Equations, Vector Spaces, Linear Least-Squares, and Eigenvalues and Eigenvectors through short videos, exercises, visualizations, and programming assignments. Furthermore, you will see cutting-edge research on the development of linear algebra libraries, which are widely used in computational science. Participants will be provided with free MATLAB licenses for the duration of the course.


At a glance

  • Institution: UTAustinX
  • Subject: Computer Science
  • Level: Intermediate
  • Prerequisites:High School Algebra, Geometry, and Pre-Calculus.
  • Language: English
  • Video Trascript: English

What you'll learn

  • Skip What you'll learn
  • Connections between linear transformations, matrices, and systems of linear equations
  • Partitioned matrices and characteristics of special matrices
  • Algorithms for matrix computations and solving systems of equations
  • Vector spaces, subspaces, and characterizations of linear independence
  • Orthogonality, linear least-squares, eigenvalues and eigenvectors

Rating: 4.2/5.0

Enroll here: edx.org/course/linear-algebra-foundations-to-frontiers

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