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ENGINEERING MATHEMATICS
Rating: 4.3 out of 5(29 ratings)
280 students

ENGINEERING MATHEMATICS

M1
Last updated 2/2021
English
English [Auto],

What you'll learn

  • ENGINEERING MATHEMATICS

Course content

4 sections52 lectures3h 13m total length
  • Introduction to Sets, vectors & Matrices3:53

    Explore the basics of sets, vectors, and matrices in mathematics. See how data forms like marks and tables become vectors and matrices, and distinguish vectors from scalars.

  • Vectors3:29

    Explore vectors as quantities with magnitude and direction, illustrated by displacement and velocity, and represent them as directed line segments using unit vectors along the X, Y, and Z axes.

  • Algebraic operations on Vectors5:57

    Explore algebraic operations on vectors, including scalar multiplication, vector addition and subtraction, dot and cross products, and the geometric interpretations with parallelograms and unit vectors.

  • Triple Product2:51

    Explore scalar and vector triple products, their dot and cross definitions, determinant and parallelepiped interpretations, and Lagrange's expansion for simplifying vector calculations.

  • Dependent Vectors6:27

    Identify linear dependence by finding nonzero scalars alpha_i with sum alpha_i V_i = 0. Use determinant of the coefficient matrix to distinguish independence, and study V1, V2, V3, V4 examples.

  • Orthogonal & Orthonormal Vectors6:02

    Explore orthogonal vectors and orthonormal vectors, where the dot product is zero and unit vectors have length one, and a real matrix is orthogonal when its inverse equals its transpose.

  • Normalizing Vector & Projection of Vectors6:50

    Normalize a vector to unit length to preserve direction and use unit vectors to indicate direction. Compute vector and scalar projections of A onto B to get components and work.

  • Matrices7:13

    Explore how matrices organize data as rectangular arrays of numbers in rows and columns, and learn key operations like determinant, transpose, and inverse, including identity matrices and cofactors.

  • Types of Matrices - 14:55

    Explore real matrices and their types—symmetric, skew symmetric, and orthogonal—through transposes, the identity, and determinant conditions, with examples identifying each type.

  • Types of Matrices - 24:59

    Explore complex matrices and their complex conjugates, use transposed conjugates to identify hermitian and skew hermitian forms and determine unitary matrices that yield the identity.

  • Solving System of Linear equations6:22

    solving systems of linear equations covers a x = b, giving x = b/a for a ≠ 0, and infinite or no solutions when a = 0; includes graphical, substitution, elimination, and augmented-matrix methods.

  • Row Operations and Equivalent Systems4:47

    Explore how equivalent linear systems share same solutions and simplify them with elementary row operations, interchanging rows, scaling by a non-zero constant, and adding multiples of rows via augmented matrices.

  • Gaussian Elimination or Row Reduction method3:58

    Explore Gaussian elimination, transforming the augmented matrix to upper triangular form via forward elimination with elementary row operations, using pivots to reveal rank, determinant, and inverse.

  • Echelon Form of a Matrix2:41

    Describe row echelon form with zero bottom rows and pivots moving right; obtain reduced row echelon form via Gorst-Jordan method, and identify basic versus non-pivot variables in augmented form.

  • Rank of a matrix by Echelon form4:58

    Determine the rank of a matrix by reducing to row echelon form, identify pivots, and relate rank to the solution counts of linear systems using augmented and coefficient matrices.

  • Rank of a matrix using Normal Form2:03

    Transform a matrix to canonical form using elementary operations, then count nonzero rows to obtain its rank; the example yields a rank of three.

  • Invertible Matrices - 14:54

    Explore invertible, square matrices with full rank and nonzero determinant, and their unique inverses. Learn adjugate-based computation and elementary matrices, plus left and right inverses for non-square cases.

  • Theorems on Invertible Matrices6:28

    Explore theorems on the inverse of matrices, linking invertibility to full rank, the identity matrix, and products of elementary matrices, with BA = I and AB = I.

  • Inverse of a matrix using Gauss-Jordan method4:09

    Apply gauss-jordan elimination with elementary row operations to the augmented matrix, transforming it to reduced row echelon form to obtain the inverse on the right-hand side.

  • Homogeneous and non homogeneous linear systems3:55

    Explore homogeneous and non homogeneous linear systems, their matrix forms and determinants. Identify when solutions are unique, infinite, or no solutions by examining rank and the coefficient matrix.

Requirements

  • NO

Description

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.

Who this course is for:

  • ENGINEERS