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UTAustinX: Advanced Linear Algebra: Foundations to Frontiers

Learn advanced linear algebra for computing.

Advanced Linear Algebra: Foundations to Frontiers
16 weeks
8–12 hours per week
Self-paced
Progress at your own speed
Free
Optional upgrade available

There is one session available:

7,820 already enrolled! After a course session ends, it will be archivedOpens in a new tab.
Starts Nov 22

About this course

Skip About this course

Linear algebra is one of the fundamental tools for computational and data scientists. In Advanced Linear Algebra: Foundations to Frontiers (ALAFF), you will build your knowledge, understanding, and skills in linear algebra, practical algorithms for matrix computations, and the analysis of the effects of floating-point arithmetic as performed by computers.

At a glance

  • Institution:

    UTAustinX

  • Subject: Computer Science
  • Level: Advanced
  • Prerequisites:

    Undergraduate linear algebra

  • Language: English
  • Video Transcript: English
  • Associated skills:Algebra, Floating Point Algorithm, Linear Algebra, Arithmetic, Algorithms

What you'll learn

Skip What you'll learn
  • Deciphering a matrix using the Singular Value Decomposition

  • Quantifying and qualifying numerical error

  • Solving linear systems and linear least-squares problems

  • Computing and employing eigenvalues and eigenvectors

Part 1: Orthogonalization

Part 2: Solving Linear Systems

Part 3: Eigenvalues and Eigenvectors

Who can take this course?

Unfortunately, learners residing in one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. edX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.

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