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Introduction to Linear Algebra

by

Coursera

This course on Introduction to Linear Algebra teaches Introduction to Linear Algebra fundamentals through 2 interactive modules. If you are , then this course is for you. You can access this course on web and mobile, it’s available in language.

#1

See all ranking

Introduction to Linear Algebra

by

Coursera

This course on Introduction to Linear Algebra teaches Introduction to Linear Algebra fundamentals through 2 interactive modules. If you are , then this course is for you. You can access this course on web and mobile. This complete course is available in language.

#1

See all ranking

2 Modules

with Certifications

36+ Hours

of Recorded Content

4.8 Rated

by 2785 Learners

Language

2 Modules

with Certifications

36 + Hours

of Recorded Content

4.8 Rated

by 2785Learners

Read all Reviews

Language

What's in it for You?

Key Features:

Learn new concepts from professionals in the field.
Acquire a basic understanding of a topic or skill
Gain practical project experience to enhance employability.
Obtain a career certificate that can be shared.

Topics you will learn

  • Week 1 - Geometric Vectors in the Plane and in Space
    • 10 videos
      1. Welcome and introduction to Week 1
      2. Geometric vectors - part 1
      3. Geometric vectors - part 2
      4. Hat notation and parallel vectors
      5. Position vectors and components
      6. Linear independence for two vectors
      7. Dot product of two vectors
      8. Projections and orthogonal components
      9. Cross products of two vectors - part 1
      10. Cross products of two vectors - part 2
    • 11 readings
      1. How to navigate this MOOC
      2. Overview of assessments and activities
      3. Geometric vectors - part 1
      4. Geometric vectors - part 2
      5. Hat notation and parallel vectors
      6. Position vectors and components
      7. Linear independence for two vectors
      8. Dot product of two vectors
      9. Projections and orthogonal components
      10. Cross products of two vectors - part 1
      11. Cross products of two vectors - part 2
    • 10 quizzes
      1. Week 1 - Geometric vectors in the plane and in space
      2. Geometric vectors - part 1
      3. Geometric vectors - part 2
      4. Hat notation and parallel vectors
      5. Position vectors and components
      6. Linear independence for two vectors
      7. Dot product of two vectors
      8. Projections and orthogonal components
      9. Cross products of two vectors - part 1
      10. Cross products of two vectors - part 2
  • Week 2 - Lines and Planes in Space and Systems of Linear Equations
    • 8 videos
      1. Introduction to Week 2
      2. Lines in space - part 1
      3. Lines in space - part 2
      4. Planes in space
      5. Systems of linear equations (a)
      6. Systems of linear equations (b)
      7. Modular arithmetic
      8. Mixing arithmetics
    • 6 readings
      1. Lines in space - part 1
      2. Lines in space - part 2
      3. Planes in space
      4. Systems of linear equations
      5. Modular arithmetic
      6. Mixing arithmetics
    • 7 quizzes
      1. Week 2 - Lines and planes in space and systems of linear equations
      2. Lines in space - part 1
      3. Lines in space - part 2
      4. Planes in space
      5. Systems of linear equations
      6. Modular arithmetic
      7. Mixing arithmetics
  • Week 3 - Matrix Arithmetic and the Theory of Determinants
    • 11 videos
      1. Introduction to Week 3
      2. Matrix addition and scalar multiplication
      3. Matrix multiplication (a)
      4. Matrix multiplication (b)
      5. Matrix operations continued (a)
      6. Matrix operations continued (b)
      7. Matrix inverses (a)
      8. Matrix inverses (b)
      9. Determinants (a)
      10. Determinants (b)
      11. Determinants (c)
    • 5 readings
      1. Matrix addition and scalar multiplication
      2. Matrix multiplication
      3. Matrix operations continued
      4. Matrix inverses
      5. Determinants
    • 5 quizzes
      1. Week 3 - Matric arithmetic and the theory of determinants
      2. Matrix addition and scalar multiplication
      3. Matrix multiplication
      4. Matrix inverses
      5. Determinants
  • Week 4 - Eigentheory and Diagonalisation
    • 13 videos
      1. Introduction to Week 4
      2. Eigenvalues and eigenvectors (a)
      3. Eigenvalues and eigenvectors (b)
      4. Finding eigenvectors (a)
      5. Finding eigenvectors (b)
      6. Diagonalisation (a)
      7. Diagonalisation (b)
      8. Introduction to stochastic matrices (a)
      9. Introduction to stochastic matrices (b)
      10. Introduction to linear transformations (a)
      11. Introduction to linear transformations (b)
      12. Introduction to linear transformations (c)
      13. The fundamental theorem of algebra
    • 6 readings
      1. Eigenvalues and eigenvectors
      2. Finding eigenvectors
      3. Diagonalisation
      4. Introduction to stochastic matrices
      5. Introduction to linear transformations
      6. The fundamental theorem of algebra
    • 6 quizzes
      1. Week 4 - Eigentheory and diagonalisation
      2. Eigenvalues and eigenvectors
      3. Finding eigenvectors
      4. Diagonalisation
      5. Introduction to stochastic matrices
      6. Introduction to linear transformations

Course Offerings

Certificate you will get

Certificate Features

Your certificate can be embedded on your own website or shared on social networking sites like LinkedIn.
Employers can verify the legitimacy of each certificate using the special verification URL that is included with it.

Pre Requsites

Curious Mind to learn new concepts
Strong internet connection

After this Course

Course is for

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FAQ's

  • When will I have access to the lectures and assignments?
    Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option: The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
  • What will I get if I subscribe to this Specialization?
    When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
  • What is the refund policy?
    If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policyOpens in a new tab.
  • Is financial aid available?
    Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
The course focuses on Introduction to Linear Algebra. It covers fundamentals through 2 interactive modules designed for s.
The course offers over 36 hours of recorded content.

Yes, upon completing the course, you will receive a certification

The course is currently available in .
Curious Mind to learn new concepts & Strong internet connection

The course is accessible on both web and mobile platforms.

The original price of the course is ₹, but it’s currently available at a discounted price of ₹.
To purchase this course you can click on the Enroll Now button it will redirect you to course page, and on that page you can buy Introduction to Linear Algebra course.

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