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Vector Calculus Basics for Engineering Students
Rating: 4.7 out of 5(34 ratings)
315 students

Vector Calculus Basics for Engineering Students

Vector math fundamentals you need to succeed in engineering
Last updated 12/2020
English
English [Auto],

What you'll learn

  • Position Vectors
  • Dot Product
  • Cross Product
  • Direction Cosines
  • Finding vectors using transverse and azimuth angles
  • 2d and 3d Cartesian Vectors, magnitude, unit vectors
  • and more!

Course content

1 section19 lectures5h 37m total length
  • Introduction14:44

    Explore the basics of vectors and scalars, including magnitude and direction, notation, and properties of equal, negative, and parallel vectors.

  • 1.2 Addition and Subtraction11:34

    Demonstrates vector addition and subtraction using parallelograms, showing AB + AC = AD and AB − AC via −AC, then translates vectors into coordinate form and explains scalar multiplication.

  • Example Set 110:48

    Practice scalar multiplication, addition, and subtraction of vectors using A, B, and C. See explicit calculations for three times a, sums, and differences, with upcoming vector drawings for clarity.

  • 1.3 Position Vector6:41

    Learn to use position vectors from the origin to a point and compute the vector between two points by subtracting their coordinates.

  • Example Set 211:39

    Compute position vectors OA and OB from the origin for points A and B, then find AB as OB minus OA and BA as OA minus OB to show direction.

  • 1.4 2D Cartesian Vectors22:02

    Master magnitude and unit vectors in 2d cartesian vectors, derive x and y components from cosine and sine, and use i and j notation along with core vector properties.

  • Example Set 3 Part 118:00

    Learn to compute vector magnitudes for sums and differences, switch between component and Cartesian forms, and derive the vector AB, its magnitude, and the unit vector using position vectors.

  • Example Set 3 Part 230:37

    Compute vector AB in Cartesian form, its magnitude and unit vector, then test parallelism via scalar multiples, and find components for vectors a, b, c, and d using given angles.

  • 1.5 3D Cartesian Vectors27:40

    Explore 3d vectors in a Cartesian frame using the right-hand rule to locate x, y, z directions and the xy, yz, and xz planes; compute magnitudes and unit vectors.

  • Example Set 4 Part 117:50

    visualize a 3d cartesian point, drop perpendiculars to the coordinate planes to locate base coordinates; compute distance, unit vectors, and magnitude relationships between points A and B.

  • Example Set 4 Part 224:00

    Compute vector b of magnitude 1.5 parallel to a but opposite, using a's unit vector, then derive position vectors from transverse and azimuth angles and obtain x, y, z components.

  • 1.6 Dot Product14:15

    Explore the dot product, also called the inner or scalar product, defined as a·b=|a||b|cos theta; learn its zero value for perpendicular vectors and one for parallel unit vectors.

  • 1.7 Orthogonal Vectors and Direction Cosines21:35

    Explore orthogonal vectors and dot products, analyze signs for acute, obtuse, and perpendicular angles, and learn direction cosines alpha, beta, gamma to find vector components and projections.

  • Example Set 527:28

    Explore dot products and their geometric meanings through 2d and 3d vector examples, determine orthogonality, angles, direction cosines, and project a onto b using unit vectors.

  • 1.8 Cross Product25:04

    Master the cross product of two vectors, yielding a vector perpendicular to the plane with magnitude |a||b|sinθ, guided by the right-hand rule and determinants for scalar triple products.

  • Example Set 6 Part 114:15

    Demonstrates cross product of a = i - j and b = 2j + 5k, using component and determinant methods to yield -5 i -5 j + 2 k.

  • Example Set 6 Part 28:42

    Find a vector perpendicular to A and B using the cross product (determinant method). Apply cross product properties, magnitudes, and dot products with i, j, k.

  • 1.9 Area and Volume9:12

    Compute parallelogram area via cross product: |a × b|, triangle area 1/2|a × b|, volume a · (b × c); coplanarity when a · (b × c) = 0.

  • Example Set 720:54

    Explore 3d vectors and cross products to verify parallelograms, compute areas of parallelograms and triangles, determine volumes via triple products, and test coplanarity using dot and cross products.

Requirements

  • Algebra

Description

What are vectors?

A vector is a fundamental math concept that's used extensively in engineering. Understanding the math behind vectors before you start using vectors in engineering courses improves your comprehension and makes the learning curve much shorter.

Who is this course for?

This course is designed for students in engineering who need a review of vector concepts before taking courses such as Statics, Dynamics, Fluid Mechanics and Vector Calculus. These courses rely heavily on vector applications so the better you understand vector math, the easier these courses will be.

What you'll get with the course

  • 4+ hours of on-demand lecture videos

  • 35+ fully-worked examples to teach you how to apply the material

  • 7 homework sets with solutions so you can practice what you've learned

  • Downloadable outline of notes with all example problem statements to help you follow along with the lectures


What you'll learn

This course covers all you need to get started with vectors. We'll cover:

  • Notation & terms

  • Addition &subtraction

  • Position vectors

  • Magnitude

  • Unit vectors

  • 2D & 3D Cartesian vectors

  • Properties of vectors

  • Finding vectors using transverse and azimuth angles

  • Dot product

  • Direction cosines

  • Cross Product

  • Finding area and volume of parallelograms and triangles

Who this course is for:

  • Engineering students preparing for vector application courses like Statics, Dynamics, Fluid Mechanics and Vector Calculus
  • Students wanting to learn a new math concept