EdX

Advanced Linear Algebra: Foundations to Frontiers (edX)

Offered by University of Texas at Austin, UTAustinX,
Advanced Linear Algebra: Foundations to Frontiers (edX)

Learn advanced linear algebra for computing. 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.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

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

Syllabus

Part 1: Orthogonalization
Part 2: Solving Linear Systems
Part 3: Eigenvalues and Eigenvectors

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Computing in Python I: Fundamentals and Procedural Programming (edX) EdX
Georgia Institute of Technology,GTx

Computing in Python I: Fundamentals and Procedural Programming (edX)

CS: Programming

Learn the fundamentals of computing in Python, including variables, operators, and writing and debugging your own programs. This course starts from the beginning, covering the basics of how a computer interprets lines of code; how to write programs, evaluate their output, and revise the code itself; how to work with variables and their changing values; and how to use mathematical, boolean, and relational operators.

Self Paced
Self-Paced
Programming Python Computing
Details
Calculus Applied! (edX) EdX
HarvardX,Harvard University

Calculus Applied! (edX)

Sci: Biology & Life Sciences Sci: Mathematics

Apply tools of single-variable calculus to create and analyze mathematical models used by real practitioners in social, life, and physical sciences. In this course, we go beyond the calculus textbook, working with practitioners in social, life and physical sciences to understand how calculus and mathematical models play a role in their work.

Self Paced
Self-Paced
Math Calculus Mathematics
Details
Computing in Python II: Control Structures (edX) EdX
Georgia Institute of Technology,GTx

Computing in Python II: Control Structures (edX)

CS: Programming

Learn about control structures, one of the most powerful parts of programming. This course covers conditionals, loops, functions, and error handling, specifically in Python but with broader applicability to other languages as well. Building on your prior knowledge of variables and operators, this course gets into the meat of programming. Organized into five chapters, this course starts by covering the fundamentals of what control structures are and what they do, then moves on to four common control structures in Python.

Self Paced
Self-Paced
Python Computing Functions
Details