Free online courseLinear Algebra Course

Duration of the online course: 10 hours and 49 minutes

5

StarStarStarStarStar

(1)

Explore Linear Algebra with our free course covering systems of equations, matrix operations, vector spaces, determinants, eigenvectors, orthogonal vectors, and more.

Course Description

Welcome to the Linear Algebra Course, a comprehensive foundational course with a duration of 10 hours and 49 minutes. As part of the Basic Studies category and specifically focusing on Algebra, this course provides an in-depth exploration of critical concepts and techniques in Linear Algebra. Whether you are a student seeking a solid grounding in the subject or looking to refresh your knowledge, this course is tailored to meet your needs.

The course starts by delving into Systems of Linear Equations, where you'll learn to solve these systems using Augmented Matrices and Row Operations. This sets the stage for understanding the intricacies of Row Reduction and Echelon Forms. As you progress, you'll become adept at interpreting Solution Sets and identifying Free Variables.

Next, we move on to Vector Equations and Linear Combinations, essential tools for handling more complex algebraic structures. A thorough understanding of the Matrix Equation Ax=b and the Computation of Ax is also covered, ensuring you are well-equipped to tackle both Homogeneous and Non-Homogeneous System Solutions.

The course also highlights practical applications of linear systems, including Economic Sectors and Network Flow, making the abstract concepts tangible and relevant to real-world scenarios. You'll explore Linear Independence and learn Special Ways to Determine Linear Independence, gaining insights into the robustness of vector spaces.

Matrix Transformations and an Introduction to Linear Transformations form another critical part of the course, offering a gateway to more advanced topics. Matrix Operations such as Sums, Scalar Multiples, Multiplication, and Transpose are discussed in detail. Furthermore, you'll grasp the concepts behind the Inverse of a Matrix, its properties, and methods for solving systems using the inverse, including Elementary Matrices and the Algorithm for finding an inverse.

Characterizations of Invertible Matrices prepare you for the next phase, where we delve into Determinants, including Introduction to Determinants, Co-factor Expansion, and key Properties of Determinants. You'll then advance to Vector Spaces, understanding their structure and the concept of Subspaces.

The exploration continues with Null Spaces, Column Spaces, and the importance of Linearly Independent Sets and Bases, supported by the Spanning Set Theorem. You'll also learn to determine the Dimension of a Vector Space and examine Subspaces of Finite Dimensional Space.

Further, topics like Row Space and Rank provide a well-rounded view of vector operations, setting the stage for Eigenvectors and Eigenvalues and their significance. The course also delves deeper into these concepts, linking them with Determinants and the IMT, and unraveling the Characteristic Equation.

The final module covers Inner Product, Vector Length, and Distance, paving the way to understanding Orthogonal Vectors. You'll encounter Orthogonal Sets and Orthogonal Projections, culminating in the Orthogonal Decomposition Theorem and the Best Approximation Theorem. The study concludes with an examination of Least Squares Problems, ensuring you're proficient in one of the fundamental techniques in numerical methods.

Embrace this opportunity to master Linear Algebra and elevate your algebraic skills to new heights. Enroll now and embark on your journey through the fascinating world of vectors, matrices, and transformations.

Conteúdo do Curso

  • Video class: Linear Algebra 1.1.1 Systems of Linear Equations

    0h18m

  • Exercise: In linear algebra, when solving a system of linear equations using an augmented matrix, which operation is NOT an acceptable elementary row operation?

  • Video class: Linear Algebra 1.1.2 Solve Systems of Linear Equations in Augmented Matrices Using Row Operations

    0h23m

  • Exercise: Which of the following row operations is correctly applied to transform a given matrix?

  • Video class: Linear Algebra 1.2.1 Row Reduction and Echelon Forms

    0h17m

  • Exercise: What is the key difference between a matrix in echelon form and one in reduced row echelon form?

  • Video class: Linear Algebra 1.2.2 Solution Sets and Free Variables

    0h14m

  • Exercise: Consider a system of linear equations represented by an augmented matrix in row-echelon form. If you find that the last row of the matrix is [0 0 0 | 5], what does this indicate about the system?

  • Video class: Linear Algebra 1.3.1 Vector Equations

    0h12m

  • Exercise: Which of the following statements accurately describes a vector in R2?

  • Video class: Linear Algebra 1.3.2 Linear Combinations

    0h24m

  • Exercise: What is a linear combination of vectors?

  • Video class: Linear Algebra 1.4.1 The Matrix Equation Ax=b

    0h11m

  • Exercise: Given the matrix A with dimensions 1 by n and a vector X with dimensions n by 1, if A * X results in a vector with all entries zero, what can be said about the vector X?

  • Video class: Linear Algebra 1.4.2 Computation of Ax

    0h09m

  • Exercise: What is the result of multiplying matrix A = [[2, 1], [-4, 2]] by vector X = [3, -1] using the row vector rule for computing AX?

  • Video class: Linear Algebra 1.5.1 Homogeneous System Solutions

    0h17m

  • Exercise: What does it mean for a solution to be non-trivial in a homogeneous system of linear equations?

  • Video class: Linear Algebra 1.5.2 Non-Homogeneous System Solutions

    0h11m

  • Exercise: In the context of linear algebra, what does the general solution to a non-homogeneous system of equations in the form Ax = B typically involve?

  • Video class: Linear Algebra 1.6.1 Applications of Linear Systems - Economic Sectors

    0h06m

  • Exercise: In a simplified economy with two sectors, goods and services, suppose goods sell 80% of their output to services, and services sell 70% of their output to goods. Using linear systems to find equilibrium, how would the income be matched to expenditures?

  • Video class: Linear Algebra 1.6.2 Applications of Linear Systems - Network Flow

    0h08m

  • Exercise: In a network flow system, the balance equations for nodes indicate the relationship between incoming and outgoing flows. Given a network where the inflows and outflows are described by the following equations: 1. x1 + x3 = 20 2. x2 - x3 - x4 = 0 3. x1 + x2 = 80 4. x4 = 60 What is the correct expression for the flow pattern for x2 in terms of x3?

  • Video class: Linear Algebra 1.7.1 Linear Independence

    0h11m

  • Exercise: A set of vectors \( \{\mathbf{v_1}, \mathbf{v_2}, \mathbf{v_3}\} \) is given. Which condition will guarantee that the set is linearly independent?

  • Video class: Linear Algebra 1.7.2 Special Ways to Determine Linear Independence

    0h08m

  • Exercise: Which of the following statements is true regarding a set of vectors and linear independence?

  • Video class: Linear Algebra 1.8.1 Matrix Transformations

    0h13m

  • Exercise: In the context of matrix transformations, which of the following statements is true?

  • Video class: Linear Algebra 1.8.2 Introduction to Linear Transformations

    0h09m

  • Exercise: What is the geometric interpretation of a linear transformation represented by the matrix A = [0 -1; 1 0] when applied to vectors in R²?

  • Video class: Linear Algebra 2.1.1 Matrix Operations - Sums and Scalar Multiples

    0h13m

  • Exercise: Which of the following describes a square matrix?

  • Video class: Linear Algebra 2.1.2 Matrix Operations - Multiplication and Transpose

    0h28m

  • Exercise: Given two matrices A and B, with A being a 3x4 matrix and B being a 4x2 matrix, what is the size of the resulting matrix after multiplying A by B?

  • Video class: Linear Algebra 2.2.1 The Inverse of a Matrix

    0h14m

  • Exercise: Which of the following statements is true regarding the inverse of a 2x2 matrix?

  • Video class: Linear Algebra 2.2.2 Solving 2x2 Systems with the Inverse and Inverse Properties

    0h14m

  • Exercise: If A is an invertible matrix, what can be said about the inverse of its transpose?

Linear algebra

Free online courses on Linear algebra

Free Linear Algebra Courses

Are you looking to enhance your mathematical skills with a focus on Linear Algebra? You've come to the right place! Our curated list of free Linear Algebra courses will help you master concepts such as vector spaces, matrices, eigenvalues, and more. Whether you're a student, a professional, or a math enthusiast, these courses offer comprehensive content to suit your learning needs.

Linear Algebra is a cornerstone of higher mathematics and is widely applicable in fields such as engineering, physics, computer science, and economics. Understanding this subject can open doors to numerous career opportunities and academic advancements. Our selection of free courses ensures that you can learn without the burden of financial constraints.

Why Choose Our Free Linear Algebra Courses?

  • Comprehensive Content: Covering all essential topics including vector spaces, linear transformations, matrix theory, and eigenvalues.
  • Expert Instructors: Learn from top educators and professionals in the field.
  • Flexible Learning: Study at your own pace with self-paced courses.
  • Interactive Learning: Engage with interactive modules, quizzes, and problem sets.
  • Certification: Some courses offer certificates of completion to boost your resume.

Featured Free Linear Algebra Courses

Each of these courses is designed to provide you with a robust understanding of Linear Algebra, tailored to your specific interests and career goals. By choosing free courses, you can access high-quality education without the financial burden. Start your journey today and unlock the potential of Linear Algebra in your academic and professional life.

Don't miss out on the opportunity to learn from the best and gain valuable skills that are highly sought after in today's job market. Enroll in one or more of these free Linear Algebra courses and take the first step towards mastering this essential mathematical discipline.

For more courses and resources in Algebra, visit our Algebra Courses section.

This free course includes:

10 hours and 49 minutes of online video course

Exercises to train your knowledge

Certificate of course completion

100% free, from content to certificate

QR Code - Baixar Cursa - Cursos Online

This online course can only be accessed through the Cursa App. Download it using the QR code or the links below:

This online course can only be accessed through the Cursa app. Install it using the links below:

  • Study for free!

    Here you never pay! Not even for the certificate, because everything in the app is 100% free!

  • Improve your resume!

    There are more than 4,000 free courses for you to study anything that interests you!

  • Free Digital Certificate!

    Complete the course and issue your internationally recognized Digital Certificate free of charge.

More free courses at Algebra

Download the App now to have access to + 3300 free courses, exercises, certificates and lots of content without paying anything!

  • 100% free online courses from start to finish

    Thousands of online video courses, audio or text courses.

  • More than 48 thousand free exercises

    To test your knowledge during online courses

  • Valid free Digital Certificate with QR Code

    Generated directly from your cell phone's photo gallery and sent to your email

Cursa app on the ebook screen, the video course screen and the course exercises screen, plus the course completion certificate

+ 6.5 million
students

Free and Valid
Certificate with QR Code

48 thousand free
exercises

4.8/5 rating in
app stores

Free courses in
video, audio and text