Linear Algebra: 40+ hours of Tutorials and Exercises!

Linear Algebra: 40+ hours of Tutorials and Exercises!, available at $54.99, has an average rating of 4.75, with 518 lectures, based on 94 reviews, and has 981 subscribers.

You will learn about Mastering all the subjects of a first course in Linear Algebra. This course is ideal for individuals who are Sophomores or juniors for STEM courses (Science, Technology, Engineering and Mathematics), usually with no background. or Anyone who want to become a Linear Algebra Expert! It is particularly useful for Sophomores or juniors for STEM courses (Science, Technology, Engineering and Mathematics), usually with no background. or Anyone who want to become a Linear Algebra Expert!.

Enroll now: Linear Algebra: 40+ hours of Tutorials and Exercises!

Summary

Title: Linear Algebra: 40+ hours of Tutorials and Exercises!

Price: $54.99

Average Rating: 4.75

Number of Lectures: 518

Number of Published Lectures: 517

Number of Curriculum Items: 518

Number of Published Curriculum Objects: 517

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

Mastering all the subjects of a first course in Linear Algebra.

Who Should Attend

Sophomores or juniors for STEM courses (Science, Technology, Engineering and Mathematics), usually with no background.
Anyone who want to become a Linear Algebra Expert!

Target Audiences

Sophomores or juniors for STEM courses (Science, Technology, Engineering and Mathematics), usually with no background.
Anyone who want to become a Linear Algebra Expert!

This course of Linear Algebra gives an introductory treatment of linear algebra that is suitable for a first undergraduate course. Its aim is to present the fundamentals of linear algebra in the clearest possible way.

The subjects covered are Systems of Linear Equations, Matrices, Determinants, Vector Spaces, Eigenvectors/Values, Diagonalization, Linear Transformations (maps), Inner Product Spaces, Vectors and Markov Chains.

Course Curriculum

Chapter 1: 1.1 Systems of Linear Equations

Lecture 1: Systems of Linear Equations – What is a System of Linear Equations?

Lecture 2: Solution of SLEs

Lecture 3: Number of Solutions of an SLE

Lecture 4: Row Echelon Form of an SLE

Lecture 5: Solution of the Row Echelon Form

Lecture 6: Transforming an SLE to Row Echelon Form

Lecture 7: Solution of a General SLE

Lecture 8: Using Matrices to Solve an SLE

Lecture 9: Exercise 1

Lecture 10: Exercise 2

Lecture 11: Exercise 3

Lecture 12: Exercise 4

Lecture 13: Exercise 5

Lecture 14: Exercise 6

Lecture 15: Exercise 7

Lecture 16: Exercise 8

Lecture 17: Exercise 9

Lecture 18: Exercise 10

Lecture 19: Exercise 11

Lecture 20: Exercise 12

Lecture 21: Exercise 13

Lecture 22: Exercise 14

Lecture 23: Exercise 15

Lecture 24: Exercise 16

Lecture 25: Exercise 17 Part a

Lecture 26: Exercise 17 Part b

Chapter 2: 1.2 Systems of Linear Equations – SLE with Parameter

Lecture 1: Row-Echelon Form with Parameter

Lecture 2: Number of Solutions of SLE with Parameters I

Lecture 3: Number of Solutions of SLE with Parameters II

Lecture 4: Exercise 1

Lecture 5: Exercise 2

Lecture 6: Exercise 3

Lecture 7: Exercise 4

Lecture 8: Exercise 5

Lecture 9: Exercise 6

Lecture 10: Exercise 7

Lecture 11: Exercise 8

Lecture 12: Exercise 9

Lecture 13: Exercise 10

Lecture 14: Exercise 11

Lecture 15: Exercise 12

Lecture 16: Exercise 13 Parts a-c

Lecture 17: Exercise 13 Parts d-f

Lecture 18: Exercise 13 Parts g-h

Chapter 3: 1.3 Systems of Linear Equations – SLE over Zp

Lecture 1: Exercise 1

Lecture 2: Exercise 2

Lecture 3: Exercise 3

Lecture 4: Exercise 4

Lecture 5: Exercise 5

Lecture 6: Exercise 6

Chapter 4: 2.1 Matrices – Matrix and Basic Operations on Matrices

Lecture 1: What is a Matrix?

Lecture 2: What are the Special Matrices?

Lecture 3: Times Scalar, Add & Subtract

Lecture 4: Multiplication I

Lecture 5: Multiplication II

Lecture 6: Multiplication III

Lecture 7: Transpose

Lecture 8: Trace

Lecture 9: Exercise 1

Lecture 10: Exercise 2

Lecture 11: Exercise 3 Parts 1-4

Lecture 12: Exercise 3 Part 5

Lecture 13: Exercise 3 Parts 6-7

Lecture 14: Exercise 3 Part 8

Lecture 15: Exercise 3 Part 9

Lecture 16: Exercise 3 Part 10

Lecture 17: Exercise 4

Lecture 18: Exercise 5 Part 1

Lecture 19: Exercise 5 Part 2

Lecture 20: Exercise 5 Part 3

Lecture 21: Exercise 5 Part 4

Lecture 22: Exercise 5 Part 5

Lecture 23: Exercise 6

Lecture 24: Exercise 6 Part a

Lecture 25: Exercise 6 Part b

Lecture 26: Exercise 6 Part c

Lecture 27: Exercise 6 Part d

Lecture 28: Exercise 6 Part e

Chapter 5: Elementary Matrices and LU Decomposition

Lecture 1: Elementary Matrices, Introduction

Lecture 2: Elementary Matrices, Theorem

Lecture 3: Exercise LU1

Lecture 4: Exercise LU2

Chapter 6: 2.2 Matrices – Matrix Inverse and its Applications

Lecture 1: Inverse Matrix – Intro

Lecture 2: How to Compute the Inverse Matrix

Lecture 3: Using the Inverse Matrix to Solve an SLE

Lecture 4: Exercise 1

Lecture 5: Exercise 2

Lecture 6: Exercise 3

Lecture 7: Exercise 4

Lecture 8: Exercise 5

Lecture 9: Exercise 6

Lecture 10: Exercise 7

Lecture 11: Exercise 8

Lecture 12: Exercise 9

Instructors

Kvasir Education
Your Math Instructor
Bar Movsowowitz
Prop sA
DATA

Rating Distribution

1 stars: 0 votes
2 stars: 2 votes
3 stars: 13 votes
4 stars: 21 votes
5 stars: 58 votes

Frequently Asked Questions

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