EdX

Linear Algebra I: Linear Equations (edX)

Linear Algebra I: Linear Equations (edX)

This course takes you through the first three weeks of MATH 1554, Linear Algebra, as taught in the School of Mathematics at The Georgia Institute of Technology. Systems of equations live at the heart of linear algebra. In this course you will explore fundamental concepts by exploring definitions and theorems that give a basis for this subject.

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

At the start of this course we introduce systems of linear equations and a systematic method for solving them. This algorithm will be used for computations throughout the course as you investigate applications of linear algebra and more complex algorithms for analyzing them.
Later in this course you will later see how a system of linear equations can be represented in other ways, which can reduce problems involving linear combinations of vectors to approaches that involve systems of linear equations. Towards the end of the course we explore linear independence and linear transformations. They have an essential role throughout our course and in applications of linear algebra to many areas of industry, science, and engineering.
This course is part of the Introductory Linear Algebra Professional Certificate.

What you'll learn
Upon completion of this course, learners will be able to:

  • Evaluate mathematical expressions to compute quantities that deal with linear systems
  • Characterize a linear system in terms of the number of solutions, and whether the system is consistent or inconsistent.
  • Apply elementary row operations to solve linear systems of equations.
  • Characterize a set of vectors in terms of linear combinations, their span, and how they are related to each other geometrically
  • Characterize a set of vectors and linear systems using the concept of linear independence.
  • Construct dependence relations between linearly dependent vectors.
  • Identify and construct linear transformations of a matrix.
  • Characterize linear transformations as onto and/or one-to-one.
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Introduction to Quantum Science & Technology (edX) EdX
Purdue University,PurdueX

Introduction to Quantum Science & Technology (edX)

Learn about fundamental concepts and engineering challenges of quantum technologies. Emerging quantum systems are disruptive technologies redefining computing and communication. Teaching quantum physics to engineers and educating scientists on engineering solutions are critical to address fundamental and engineering challenges of the quantum technologies.

Aug 21st 2023
13-24 Weeks
The Finite Element Method for Problems in Physics (Coursera) Coursera
University of Michigan

The Finite Element Method for Problems in Physics (Coursera)

This course is an introduction to the finite element method as applicable to a range of problems in physics and engineering sciences. The treatment is mathematical, but only for the purpose of clarifying the formulation. The emphasis is on coding up the formulations in a modern, open-source environment that can be expanded to other applications, subsequently.

Oct 5th 2026
13-24 Weeks
Advanced Linear Models for Data Science 2: Statistical Linear Models (Coursera) Coursera
Johns Hopkins University

Advanced Linear Models for Data Science 2: Statistical Linear Models (Coursera)

Welcome to the Advanced Linear Models for Data Science Class 2: Statistical Linear Models. This class is an introduction to least squares from a linear algebraic and mathematical perspective. Before beginning the class make sure that you have the following: a basic understanding of linear algebra and multivariate calculus; a basic understanding of statistics and regression models; at least a little familiarity with proof based mathematics; basic knowledge of the R programming language.

Sep 28th 2026
4 Weeks
Linear Algebra IV: Orthogonality & Symmetric Matrices and the SVD (edX) EdX
Georgia Institute of Technology,GTx

Linear Algebra IV: Orthogonality & Symmetric Matrices and the SVD (edX)

This course takes you through roughly five weeks of MATH 1554, Linear Algebra, as taught in the School of Mathematics at The Georgia Institute of Technology. In the first part of this course you will explore methods to compute an approximate solution to an inconsistent system of equations that have no solutions. Our overall approach is to center our algorithms on the concept of distance.

Self Paced
Self-Paced
Foundations of Data Science (edX) EdX
Indian Institute of Management, Bangalore,IIMBx

Foundations of Data Science (edX)

Learn the fundamental concepts in probability, statistics, optimization and linear algebra which form the foundations for data science. Data Science along with artificial intelligence (AI) and its various components such as statistical learning (SL), machine learning (ML) and deep learning algorithms (DL) are recognized as main drivers of organizational value creation. According to Dr Jim Gray, Data Science is the fourth paradigm which drives innovative solutions to organizational problems.

This course is archived
5-12 Weeks
Métodos numéricos para matemáticas con Octave (edX) EdX
Universitat Politècnica de València,UPValenciaX

Métodos numéricos para matemáticas con Octave (edX)

En este curso en línea se hace una introducción a diferentes temas relacionados con la resolución numérica de ecuaciones diferenciales ordinarias. En este curso de matemáticas se desarrollaran aspectos básicos relacionados con la resolución numérica de problemas de valor inicial asociados a ecuaciones diferenciales ordinarias, tanto desde un punto de vista teórico como práctico, haciendo uso del programa Octave para resolver distintos ejercicios relacionados.

Self Paced
Self-Paced
Applications of Linear Algebra Part 2 (edX) EdX
Davidson College,DavidsonX

Applications of Linear Algebra Part 2 (edX)

Explore applications of linear algebra in the field of data mining by learning fundamentals of search engines, clustering movies into genres and of computer graphics by posterizing an image. Our world is in a data deluge with ever increasing sizes of datasets. Linear algebra is a tool to manage and analyze such data. This course is part 2 of a 2-part course, with this part extending smoothly from the first. Note, however, that part 1, is not a prerequisite for part 2.

No sessions available
4 Weeks
Algèbre Linéaire (Partie 1) (edX) EdX
École Polytechnique Fédérale de Lausanne,EPFLx

Algèbre Linéaire (Partie 1) (edX)

Un MOOC francophone d'algèbre linéaire accessible à tous, enseigné de manière rigoureuse et ne nécessitant aucun prérequis. Vous voulez apprendre l'algèbre linéaire, un précieux outil complémentaire à vos connaissances acquises durant vos études en économie, ingénierie, physique, ou statistique? Ou simplement pour la beauté de la matière? Alors ce cours est fait pour vous!

Self Paced
Self-Paced