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Linear Algebra: Fundamentals of Matrix Algebra & Determinant

Teaching & Academics

Linear Algebra: Fundamentals of Matrix Algebra & Determinant, available at $64.99, has an average rating of 4.9, with 78 lectures, 3 quizzes, based on 24 reviews, and has 241 subscribers.

Rating4.9
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You will learn about Students will learn basic concepts, Formulae and Important results of Matrices and Determinants from basics to advance You will understand solution of selected and excellent questions step by step on each topic of Matrices and Determinants Students will be prepare themselves better for more advanced data science material. You will improve your abilities to think through and solve more complex problems. This course is ideal for individuals who are Students who are studying Matrices and Determinants in their academic syllabus and wishes to learn it or Those who want to build the mathematical foundation necessary to pursue technical work. or Those who want to prepare for more advanced data science material. or Those who want to improve ability to think through and solve more complex problems. It is particularly useful for Students who are studying Matrices and Determinants in their academic syllabus and wishes to learn it or Those who want to build the mathematical foundation necessary to pursue technical work. or Those who want to prepare for more advanced data science material. or Those who want to improve ability to think through and solve more complex problems.

Enroll now: Linear Algebra: Fundamentals of Matrix Algebra & Determinant

Summary

Title: Linear Algebra: Fundamentals of Matrix Algebra & Determinant

Price: $64.99

Average Rating: 4.9

Number of Lectures: 78

Number of Quizzes: 3

Number of Published Lectures: 78

Number of Published Quizzes: 3

Number of Curriculum Items: 81

Number of Published Curriculum Objects: 81

Original Price: ₹3,499

Quality Status: approved

Status: Live

What You Will Learn

  • Students will learn basic concepts, Formulae and Important results of Matrices and Determinants from basics to advance
  • You will understand solution of selected and excellent questions step by step on each topic of Matrices and Determinants
  • Students will be prepare themselves better for more advanced data science material.
  • You will improve your abilities to think through and solve more complex problems.

Who Should Attend

  • Students who are studying Matrices and Determinants in their academic syllabus and wishes to learn it
  • Those who want to build the mathematical foundation necessary to pursue technical work.
  • Those who want to prepare for more advanced data science material.
  • Those who want to improve ability to think through and solve more complex problems.

Target Audiences

  • Students who are studying Matrices and Determinants in their academic syllabus and wishes to learn it
  • Those who want to build the mathematical foundation necessary to pursue technical work.
  • Those who want to prepare for more advanced data science material.
  • Those who want to improve ability to think through and solve more complex problems.

Matrices and determinants are essential components of advanced mathematics and linear algebra. This topic is crucial in solving various problems that arise in practical situations. It’s also a common area of questions in competition exams. The course is designed to provide a comprehensive understanding of Matrix Algebra, making it suitable for both beginners and those who are looking to improve their existing knowledge.

In this course, we will cover the following areas in detail:

  1. Definition, Notation, and Order of Matrix

  2. Types of Matrices

  3. Matrix Addition and its Properties

  4. Matrix Multiplication and its Properties

  5. Nilpotent, Idempotent, and Involutary Matrices

  6. Transpose of Matrices

  7. Determinants

  8. Properties of Determinants

  9. Applications of Determinants

  10. Cramer’s Rule for solving equations

  11. Non-singular and Singular Matrix

  12. Minors, Cofactors, and Adjoint of a Matrix

  13. Inverse of a Matrix and its Properties

  14. Solution of Linear Equations using Matrix Method

The course emphasizes a hands-on approach and provides in-depth explanations of the concepts along with selected examples. It is designed to create a strong foundation for students, as well as those who are preparing for competitive exams and higher mathematics.

I understand the importance of support and feedback, which is why we have a Q&A section. Based on your feedback, I will continually update the course with new material to ensure that our students receive the best possible education.

Join now and take the first step towards mastering Matrix Algebra! The course will help you develop a better understanding and increase your confidence, so don’t wait any longer.

Sign up now!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Definition ,Notation and Order of Matrix

Lecture 2: Types of Matrices

Lecture 3: Q.no. 1

Lecture 4: Q.no. 2

Lecture 5: Q.no. 3

Lecture 6: Q.no. 4

Lecture 7: Q.no.5

Chapter 2: Operations on Matrices

Lecture 1: Operations on Matrices Addition and its Properties

Lecture 2: Multiplication of Matrices and its properties

Lecture 3: Nilpotent,Idempotent and Involutary Matrices

Lecture 4: Q.no. 1

Lecture 5: Q.no. 2

Lecture 6: Q.no. 3

Lecture 7: Q.no. 4

Lecture 8: Q.no. 5

Lecture 9: Q.no.6

Lecture 10: Q.no.7

Lecture 11: Q.no.8

Lecture 12: Q.no.9

Lecture 13: Q.no.10

Lecture 14: Q.no.11

Chapter 3: Transpose of a matrix

Lecture 1: Transpose of a Matrix and its Properties

Lecture 2: Symmetric and Skew Symmetric Matrices

Lecture 3: Q.no. 1

Lecture 4: Q.no.2

Lecture 5: Q.no.3

Lecture 6: Q.no.4

Lecture 7: Q.no.5

Lecture 8: Q.no.6

Lecture 9: Q.no.7

Lecture 10: Q.no.8

Chapter 4: Quiz

Chapter 5: Determinants

Lecture 1: Determinant : Introduction and its Expansion

Lecture 2: Q.no. 1

Lecture 3: Q.no. 2

Lecture 4: Q.no. 3

Lecture 5: Q.no. 4

Lecture 6: Q.no.5

Lecture 7: Q.no.6

Chapter 6: Properties of Determinants

Lecture 1: Properties of Determinants

Lecture 2: Q.no. 1

Lecture 3: Q.no. 2

Lecture 4: Q.no. 3

Lecture 5: Q.no. 4

Lecture 6: Q.no. 5

Lecture 7: Q.no. 6

Lecture 8: Q.no. 7

Lecture 9: Q.no. 8

Lecture 10: Q.no. 9

Lecture 11: Q.no. 10

Lecture 12: Q.no. 11

Lecture 13: Q.no. 12

Lecture 14: Q.no.13

Lecture 15: Q.no.14

Lecture 16: Q.no.15

Lecture 17: Q.no.16

Lecture 18: Q.no.17

Lecture 19: Q.no.18

Lecture 20: Q.no.19

Lecture 21: Q.no.20

Chapter 7: Application of Determinants

Lecture 1: Application of Determinants

Lecture 2: Q.no. 1

Lecture 3: Q.no. 2

Lecture 4: Q.no. 3

Lecture 5: Q.no. 4

Lecture 6: Q.no. 5

Lecture 7: Q.no.6

Lecture 8: Q.no.7

Lecture 9: Cramer's Rule for finding out the sol. of equations

Lecture 10: Q.no. 1

Lecture 11: Q.no. 2

Chapter 8: Quiz

Chapter 9: Inverse of Matrix

Lecture 1: Non singular and singular matrix

Lecture 2: Minors,Cofactors and Adjoint of a Matrix

Lecture 3: Q.no.1

Lecture 4: Inverse of a Matrix and its properties

Lecture 5: Orthogonal Matrix and its important results

Lecture 6: Solution of Linear equations using Matrix Method

Lecture 7: Q.no. 1

Lecture 8: Q.no. 2

Chapter 10: Quiz (Inverse of Matrix)

Instructors

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  • 5 stars: 22 votes

Frequently Asked Questions


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