ENGINEERING MATHEMATICS
ENGINEERING MATHEMATICS, available at $44.99, has an average rating of 4.85, with 52 lectures, based on 23 reviews, and has 218 subscribers.
You will learn about ENGINEERING MATHEMATICS This course is ideal for individuals who are ENGINEERS It is particularly useful for ENGINEERS.
Enroll now: ENGINEERING MATHEMATICS
Summary
Title: ENGINEERING MATHEMATICS
Price: $44.99
Average Rating: 4.85
Number of Lectures: 52
Number of Published Lectures: 52
Number of Curriculum Items: 52
Number of Published Curriculum Objects: 52
Original Price: $89.99
Quality Status: approved
Status: Live
What You Will Learn
- ENGINEERING MATHEMATICS
Who Should Attend
- ENGINEERS
Target Audiences
- ENGINEERS
In this course you will learn about Engineering Mathematics in a playful way. Each and every topic is prepared in such a way that explains conceptually. This engineering mathematics course covers matrices, eigen values and eigen vectors, sequences and series, calculus, partial differentiation and applications. Some of the topics contain infographic information to get a clear view.
Course Curriculum
Chapter 1: MATRICES
Lecture 1: Introduction to Sets, vectors & Matrices
Lecture 2: Vectors
Lecture 3: Algebraic operations on Vectors
Lecture 4: Triple Product
Lecture 5: Dependent Vectors
Lecture 6: Orthogonal & Orthonormal Vectors
Lecture 7: Normalizing Vector & Projection of Vectors
Lecture 8: Matrices
Lecture 9: Types of Matrices – 1
Lecture 10: Types of Matrices – 2
Lecture 11: Solving System of Linear equations
Lecture 12: Row Operations and Equivalent Systems
Lecture 13: Gaussian Elimination or Row Reduction method
Lecture 14: Echelon Form of a Matrix
Lecture 15: Rank of a matrix by Echelon form
Lecture 16: Rank of a matrix using Normal Form
Lecture 17: Invertible Matrices – 1
Lecture 18: Theorems on Invertible Matrices
Lecture 19: Inverse of a matrix using Gauss-Jordan method
Lecture 20: Homogeneous and non homogeneous linear systems
Chapter 2: Eigen values and Eigen vectors
Lecture 1: Matrix Eigenvalues
Lecture 2: Finding Eigenvalues and Eigenvectors
Lecture 3: Cayley-Hamilton Theorem
Lecture 4: Cayley-Hamilton Theorem-2
Lecture 5: Gram Schmidt method
Lecture 6: Gram Schmidt method – 2
Lecture 7: Diagonalization
Lecture 8: Matrix Decomposition
Chapter 3: Sequences & Series
Lecture 1: Sequence
Lecture 2: Convergence & Divergence
Lecture 3: Convergence & Divergence – 2
Lecture 4: Series
Lecture 5: Numerical Series
Lecture 6: Tests for Convergence and Divergence
Lecture 7: Tests for Convergence and Divergence – 2
Lecture 8: D'Alembert's Ratio Test
Lecture 9: D'Alembert's Ratio Test – 2
Lecture 10: Raabe’s Test
Lecture 11: Raabe’s Test – 2
Lecture 12: Cauchy’s Integral test
Lecture 13: Cauchy’s root test
Lecture 14: Cauchy’s root test – 2
Lecture 15: Logarithmic Test
Lecture 16: Logarithmic Test – 2
Lecture 17: Alternating series test
Chapter 4: Calculus
Lecture 1: Basics
Lecture 2: Mean value theorem
Lecture 3: Lagrange’s Mean Value Theorem
Lecture 4: Cauchy’s Mean Value Theorem
Lecture 5: Generalized mean value theorems: Taylor series
Lecture 6: Taylor’s Theorem-2
Lecture 7: Applications of definite integrals
Instructors
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Edoreal Learning Solutions
The learning community with simple animated video courses.
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 1 votes
- 3 stars: 3 votes
- 4 stars: 8 votes
- 5 stars: 11 votes
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