By Dr. Muhammad Ali Yousuf
Home Page for Multivariable Calculus
Please note that this is not the CTY course of the same name, though I teach that one too. This is a selection of resources I have
collected over a long period of time for my past courses. I have taught MVC for more than 20 years in a real class room format
at various places (Pakistan, Mexico, USA) and various langauges (Urdu, Spanish, English). The list includes
Tec de Monterrey, Santa Fe Campus, Mexico, and
Hamdard University, Karachi, Pakistan.
You may also go back to my main page, http://pages.jh.edu/~maliyou1/
Syllabus
Topics covered varied from course to course but generally included:
- Vectors and the Geometry of Space
- Vector Functions
- Partial Derivatives
- Multiple Integrals
- Vector Calculus
The course used various texts, including, most recently:
Multivariable Calculus (7th or 8th edition) by James Stewart.
ISBN-13 for 7th edition: 978-0538497879
ISBN-13 for 8th edition: 978-1285741550
Lecture Set 1
Currently there are two sets of lecture slides avaibalble. First are from my MVC course offered in Mexico (download as single zip file) in 2006.
It used a different textbook and you will find Spanish here and there but otherwise the notes are in English.
Lecture Set 2
The second set is from the textbook iteslf. I hvae not used them in a real classroom setting and online students
have access to another set of video and written lectures. (All presentations copyright by the publisher).
Khan Academy has a set of 175+ lectures on
Multivariable Calculus. The set covers the following topics but you need to go to their site to find direct links:
- Multivariable functions
- Representing points in 3d
- Introduction to 3d graphs
- Interpreting graphs with slices
- Contour plots
- Parametric curves
- Parametric surfaces
- Vector fields, introduction
- Fluid flow and vector fields
- 3d vector fields, introduction
- 3d vector field example
- Transformations, part 1
- Transformations, part 2
- Transformations, part 3
- Partial derivatives, introduction
- Partial derivatives and graphs
- Formal definition of partial derivatives
- Symmetry of second partial derivatives
- Gradient
- Gradient and graphs
- Directional derivative
- Directional derivative, formal definition
- Directional derivatives and slope
- Why the gradient is the direction of steepest ascent
- Gradient and contour maps
- Position vector valued functions
- Derivative of a position vector valued function
- Differential of a vector valued function
- Vector valued function derivative example
- Multivariable chain rule
- Multivariable chain rule intuition
- Vector form of the multivariable chain rule
- Multivariable chain rule and directional derivatives
- More formal treatment of multivariable chain rule
- Curvature intuition
- Curvature formula, part 1
- Curvature formula, part 2
- Curvature formula, part 3
- Curvature formula, part 4
- Curvature formula, part 5
- Curvature of a helix, part 1
- Curvature of a helix, part 2
- Curvature of a cycloid
- Computing the partial derivative of a vector-valued function
- Partial derivative of a parametric surface, part 1
- Partial derivative of a parametric surface, part 2
- Partial derivatives of vector fields
- Partial derivatives of vector fields, component by component
- Divergence intuition, part 1
- Divergence intuition, part 2
- Divergence formula, part 1
- Divergence formula, part 2
- Divergence example
- Divergence notation
- 2d curl intuition
- 2d curl formula
- 2d curl example
- 2d curl nuance
- Describing rotation in 3d with a vector
- 3d curl intuition, part 1
- 3d curl intuition, part 2
- 3d curl formula, part 1
- 3d curl formula, part 2
- 3d curl computation example
- Laplacian intuition
- Laplacian computation example
- Explicit Laplacian formula
- Harmonic Functions
- Jacobian prerequisite knowledge
- Local linearity for a multivariable function
- The Jacobian matrix
- Computing a Jacobian matrix
- The Jacobian Determinant
- What is a tangent plane
- Controlling a plane in space
- Computing a tangent plane
- Local linearization
- What do quadratic approximations look like
- Quadratic approximation formula, part 1
- Quadratic approximation formula, part 2
- Quadratic approximation example
- The Hessian matrix
- Expressing a quadratic form with a matrix
- Vector form of multivariable quadratic approximation
- Multivariable maxima and minima
- Saddle points
- Warm up to the second partial derivative test
- Second partial derivative test
- Second partial derivative test intuition
- Second partial derivative test example, part 1
- Second partial derivative test example, part 2
- Constrained optimization introduction
- Lagrange multipliers, using tangency to solve constrained optimization
- Finishing the intro lagrange multiplier example
- Lagrange multiplier example, part 1
- Lagrange multiplier example, part 2
- The Lagrangian
- Meaning of Lagrange multiplier
- Proof for the meaning of Lagrange multipliers
- Introduction to the line integral
- Line integral example 1
- Line integral example 2 (part 1)
- Line integral example 2 (part 2)
- Line integrals and vector fields
- Using a line integral to find the work done by a vector field example
- Parametrization of a reverse path
- Scalar field line integral independent of path direction
- Vector field line integrals dependent on path direction
- Path independence for line integrals
- Closed curve line integrals of conservative vector fields
- Example of closed line integral of conservative field
- Second example of line integral of conservative vector field
- Double integral 1
- Double integrals 2
- Double integrals 3
- Double integrals 4
- Double integrals 5
- Double integrals 6
- Triple integrals 1
- Triple integrals 2
- Triple integrals 3
- Introduction to parametrizing a surface with two parameters
- Determining a position vector-valued function for a parametrization of two parameters
- Partial derivatives of vector-valued functions
- Introduction to the surface integral
- Example of calculating a surface integral part 1
- Example of calculating a surface integral part 2
- Example of calculating a surface integral part 3
- Surface integral example part 1: Parameterizing the unit sphere
- Surface integral example part 2: Calculating the surface differential
- Surface integral example part 3: The home stretch
- Surface integral ex2 part 1: Parameterizing the surface
- Surface integral ex2 part 2: Evaluating integral
- Surface integral ex3 part 1: Parameterizing the outside surface
- Surface integral ex3 part 2: Evaluating the outside surface
- Surface integral ex3 part 3: Top surface
- Surface integral ex3 part 4: Home stretch
- Conceptual understanding of flux in three dimensions
- Constructing a unit normal vector to a surface
- Vector representation of a surface integral
- Green's theorem proof part 1
- Green's theorem proof (part 2)
- Green's theorem example 1
- Green's theorem example 2
- Constructing a unit normal vector to a curve
- 2D divergence theorem
- Conceptual clarification for 2D divergence theorem
- Stokes' theorem intuition
- Green's and Stokes' theorem relationship
- Orienting boundary with surface
- Orientation and stokes
- Conditions for stokes theorem
- Stokes example part 1
- Stokes example part 2: Parameterizing the surface
- Stokes example part 3: Surface to double integral
- Stokes example part 4: Curl and final answer
- Evaluating line integral directly - part 1
- Evaluating line integral directly - part 2
- 3D divergence theorem intuition
- Divergence theorem example 1
- Stokes' theorem proof part 1
- Stokes' theorem proof part 2
- Stokes' theorem proof part 3
- Stokes' theorem proof part 4
- Stokes' theorem proof part 5
- Stokes' theorem proof part 6
- Stokes' theorem proof part 7
- Type I regions in three dimensions
- Type II regions in three dimensions
- Type III regions in three dimensions
- Divergence theorem proof (part 1)
- Divergence theorem proof (part 2)
- Divergence theorem proof (part 3)
- Divergence theorem proof (part 4)
- Divergence theorem proof (part 5)
Other Good MVC Courses and their Websites
Free online books and notes