Difference between revisions of "ModelCourses/Multivariate Calculus"

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<span style="italics">A user of this material should locate appropriate units below that fit their particular course in multivariate calculus.</span>
  
<span style="italics">A user of this material should locate appropriate units below that fit their particular course in multivariate calculus.</span>
   
−
[[ModelCourses/Instructions for importing problem sets]]
 +
[[ModelCourses/Instructions for importing problem sets|Instructions for importing problem sets]]
  +
[[ModelCourses/Instructions for exporting problem sets|Instructions for exporting problem sets]]
   
−
== <span style="color:blue">Vectors<span> ==
  
  +
Within each Unit below, specific problem types should be described. Detailed problem descriptions are given by clicking on the unit title.
−
=== Unit 1 - Vectors ===
  
−
* Vectors in Space
  
−
** Space Coordinates
  
−
* The Dot Product of Two Vectors
  
−
** Calculations
  
−
** Parallel and geometric implications
  
−
** Angle between vectors, orthogonality and cos(theta)
  
−
* The Cross Product of Two Vectors in Space
  
−
** Calculations
  
−
** Orthogonality between three vectors
  
   
−
[[ModelCourses/Calculus/Vectors/setUnit1]]
  
  +
Complete problem sets for each unit will eventually be collected and made available from this site (and perhaps from within the WebWork system itself) but these have not been made available yet. Also, the specific problems suggested could be directly linked if desired although this might be a bit too much!
   
−
=== Unit 2 - Vector Applications ===
  
  +
== [[File:setCourse_model_multivariate_calculus.def|Download this entire course of problem sets]] ==
−
* Projections
  
−
**
  
−
* Lines and Planes in Space
  
−
** Relationship to dot product and cross product (normal vector)
  
−
* Distances in Space
  
   
−
[[ModelCourses/Calculus/Vectors/setUnit2]]
  
  +
== <span style="color:blue">Vectors in Space<span> ==
  +
[[File:setTopic_Vectors_model_multivariate_calculus.def.txt|Download this entire collection of problem sets]]
  +
=== Unit 1 - [[ModelCourses/Calculus/Vectors/Vectors in Space|Vector Algebra]] ===
  +
* Vector Algebra
  +
* Dot Product and Applications
  +
* Cross Product and Applications
  +
  +
: [[File:setTopic01_Vectors_model_multivariate_calculus.def|Download Set Definition File]]
  +
  +
=== Unit 2 - [[ModelCourses/Calculus/Vectors/Vectors in Space|Lines and Planes]] ===
  +
* Lines in Space
  +
** Two forms of a line in space: (1) parametric equations and symmetric equations
  +
*** Express a line that passes two given points.
  +
*** Express a line that passes through a given point and is parallel to a given line.
  +
*** Express a line that passes through a given point and is perpendicular to a given line.
  +
*** Express a line that passes through a given point and is perpendicular to two given lines that are not parallel.
  +
*** Determine if two given lines are parallel, perpendicular or neither.
  +
*** Determine if two given lines intersect or are skew, and find the intersection if they intersect.
  +
*** Determine if a given line passes through a given point.
  +
  +
* Planes in Space
  +
** Plane formula
  +
*** Determine if a given plane contains a given point.
  +
*** Express a plane that contains a given point and is perpendicular to a given vector.
  +
*** Express a plane that contains a given point and is parallel to a given plane.
  +
*** Express a plane that contains a given point and is perpendicular to a given plane.
  +
*** Express a plane that contains a given point and is perpendicular to given two planes that are not parallel.
  +
*** Determine if two given planes are parallel, perpendicular or neither.
  +
*** Find the intersection of two planes that are not parallel.
  +
  +
:[[File:setTopic02_Vectors_model_multivariate_calculus.def|Download Set Definition File]]
  +
  +
=== Unit 3 - [[ModelCourses/Calculus/Vectors/Vectors in Space|Cylindrical Surfaces and Quadric surfaces]] ===
  +
  +
* Cylindrical Surfaces
  +
*** Sketch the curve f(x,y)=0, z=z0 (or g(x,z)=0, y=y0 or h(y,z), x=x0) in the xyz-space.
  +
*** Sketch the surface f(x,y)=0 (or g(x,z)=0, or h(y,z)=0) in the xyz-space.
  +
  +
* Quadric Surfaces
  +
** Quadratic equations for (1) sphere (2) ellipsoid (3) paraboloid (4) elliptic cone (5) hyperboloid of one sheet (6) hyperboloid of two sheet (7) hyperbolic paraboloid
  +
  +
:[[File:setTopic03_Vectors_model_multivariate_calculus.def|Download Set Definition File]]
  +
  +
=== Unit 4 - [[ModelCourses/Calculus/Vectors/Coordinate Systems|Non-rectangular Coordinate Systems]] ===
   
−
=== Unit 3 - Non-rectangular coordinates ===
  
−
* Surfaces in Space
  
−
** Graphing quadric surfaces
  
 
* Cylindrical Coordinates
  
* Cylindrical Coordinates
−
** Conversions with rectangular
  
 
* Spherical Coordinates
  
* Spherical Coordinates
−
** Conversions with rectangular
  
 
* Applications
  
* Applications
−
** Conversions between rectangular, cylindrical and spherical
  
−
** Finding intersection of surfaces in any given coordinate system
  
   
−
[[ModelCourses/Calculus/Vectors/setUnit3]]
  
  +
:[[File:setTopic04_Vectors_model_multivariate_calculus.def|Download Set Definition File]]
  +
  +
== <span style="color:blue">Vector-valued Functions in One Variable<span> ==
  +
:[[File:setTopic_Vector_Functions_model_multivariate_calculus.def|Download this entire collection of problem sets]]
  +
  +
=== Unit 1 - [[ModelCourses/Calculus/VectorFunctions/CalculusBasics|Calculus of Vector Functions]] ===
   
−
[[ModelCourses/Calculus/Vectors]]
  
  +
* Calculus of Vector-valued Function in One Variable
  +
** Vector-value function r(t)
  +
*** Express the domain of r(t) a 2-D (or 3-D) vector-valued function in an interval notation.
  +
*** Determine if a given point is on the curve traced out by r(t).
  +
*** Sketch the curved traced out by r(t).
  +
*** Find all values of t at which r(t) is parallel to a given vector.
  +
*** Find all values of t at which r(t) is perpendicular to a given vector
  +
** Derivatives of Vector Functions
  +
*** Compute the tangent vector r'(t) of r(t).
  +
*** Find all values of t at which r(t) and r'(t) are perpendicular.
  +
*** Show that r(t) and r'(t) are perpendicular at every t if the magnitude of r(t) is a constant.
  +
** Integrals of Vector Functions
  +
*** Compute an indefinite integral of r(t).
  +
*** Compute a definite integral of r(t).
   
−
== <span style="color:blue">Vector Functions<span> ==
  
  +
:[[File:setTopic01_Vector_Functions_model_multivariate_calculus.def|Download Set Definition File]]
   
−
=== Unit 1 - Vector Functions ===
  
  +
=== Unit 2 - [[ModelCourses/Calculus/VectorFunctions/Properties|Vector Function Applications ]] ===
−
* Vector Functions and Space Curves
  
−
* Derivatives and Integrals of Vector Functions
  
−
[[ModelCourses/Calculus/VectorFunctions/setUnit1]]
  
   
−
=== Unit 2 - Vector Function Properties ===
  
 
* Arc Length
  
* Arc Length
 
* Curvature
  
* Curvature
 
* Unit Tangent and Unit Normal vectors
  
* Unit Tangent and Unit Normal vectors
−
** Computing T(t)
  
  +
* Computing the radius, center and equation of osculating circle
−
** Computing N(t)
  
  +
* Motion in Space: Velocity and Acceleration
−
** Computing T(t) and N(t) and other stuff in one problem
 
   
−
[[ModelCourses/Calculus/VectorFunctions/setUnit2]]
  
  +
:[[File:setTopic02_Vector_Functions_model_multivariate_calculus.def|Download Set Definition File]]
   
−
=== Unit 3 - Vector Function Applications ===
  
  +
== <span style="color:blue">Multi-variable Functions</span> ==
−
* Computing equation of osculating circle
  
  +
:[[File:setTopic_Partial_Derivatives_model_multivariate_calculus.def|Download this entire collection of problem sets]]
−
* Motion in Space: Velocity and Acceleration
  
  +
=== Unit 1 - [[ModelCourses/Calculus/PartialDerivatives/Definition|Multi-variable Functions ]]===
   
−
[[ModelCourses/Calculus/VectorFunctions/setUnit3]]
  
  +
* Domain and range
  +
** Find and sketch the domain of a given function.
  +
** Evaluate a function at a given point.
  +
** Find the range of a given function.
  +
** Sketch level curves (surfaces) of f(x,y) (f(x,y,z)).
  +
** Sketch the surface z=f(x,y) and traces f(x,y)=z0 on the surface.
  +
* Limits
  +
** Definition of limit
  +
*** Show the limit of a function does not exist by showing the function has two different limits along two distinct paths, respectively.
  +
*** Compute the limit or show limit does not exist using polar coordinates.
  +
*** Compute the limit or show limit does not exist using the definition of limit.
  +
* Continuity
  +
** Definition of continuity
  +
*** Determine if a function is continuous at a given point by checking if the limit is the same as the value of the function at this point.
  +
*** Find the region over which the function is continuous.
   
−
[[ModelCourses/Calculus/VectorFunctions]]
  
  +
:[[File:setTopic01_Partial_Derivatives_model_multivariate_calculus.def|Download Set Definition File]]
   
−
== <span style="color:blue">Partial Derivatives</span> ==
 +
=== Unit 2 - [[ModelCourses/Calculus/PartialDerivatives/Rules|Partial Derivatives - Rules ]]===
−
=== Unit 1 - Partial Derivatives - Definition ===
  
−
* Functions of Several Variables and Level Curves
  
−
* Limits and Continuity
  
−
* Partial Derivatives by Definition
  
   
−
[[ModelUnits/Calculus/PartialDerivatives/Unit1]]
  
  +
* Partial Derivatives
  +
** Definitions of Partial Derivatives
  +
*** Compute the first partial derivative of f with respect to x (y or z).
  +
*** Sketch the tangent line at a given point on the trace f(x,y)=z0.
  +
*** Compute higher order partial derivatives.
   
−
=== Unit 2 - Partial Derivatives - Rules ===
  
 
* Partial Derivatives using Rules
  
* Partial Derivatives using Rules
−
* The Chain Rule
 +
** Differentiation Rule
−
* Directional Derivatives and the Gradient Vector
 +
** The Chain Rule
  +
** Implicit differentiation using partial derivatives
   
−
[[ModelUnits/Calculus/PartialDerivatives/Unit2]]
  
  +
* Directional Derivatives and the Gradient Vectors
  +
** Gradient Vectors
  +
*** Compute the gradient vector of f at a given point.
  +
*** Compute the gradient vector of f at any point in its domain.
  +
*** Find all points at which the gradient of f is a zero vector.
  +
*** Sketch the gradient vector of f(x,y) at (x0,y0) on the level curve f(x,y)=f(x0,y0).
  +
** Definition of Directional Derivative
  +
** Directional Derivative as the dot product of gradient vector and unit direction vector
  +
*** Compute the directional derivative of f at a point along a unit direction.
  +
*** Compute the directional derivative of f as (x,y) (or (x,y,z)) moves from point A to point B.
  +
*** Find the maximum (minimum) rate of change of f at a given point and the corresponding direction vector.
  +
*** Determine if f is increasing, decreasing or neither at a given point along a give direction.
   
−
=== Unit 3 - Partial Derivatives - Applications ===
  
  +
:[[File:setTopic02_Partial_Derivatives_model_multivariate_calculus.def|Download Set Definition File]]
−
* Tangent Planes and Linear and Other Approximations
  
  +
  +
=== Unit 3 - [[ModelCourses/Calculus/PartialDerivatives/Applications|Partial Derivatives - Applications ]]===
  +
  +
* Tangent Planes and Linear and Quadratic Approximations
  +
** Tangent Planes and Linear Approximations
  +
*** Find the equation of the tangent plane of the surface z=f(x,y) at (x0,y0).
  +
*** Find all points (x,y) at which the tangent plane of z=f(x,y) at (x0,y0) is parallel to a given plane.
  +
*** Find the linear approximation L(x,y) of f(x,y) at (x0,y0).
  +
*** Approximate f(x1,y1) by L(x1,y1).
  +
** Quadratic Approximations
  +
*** Find the quadratic approximation Q(x,y) of f(x,y) at (x0,y0).
  +
*** Approximate f(x1,y1) by Q(x1,y1).
 
* Maximum and Minimum Values
  
* Maximum and Minimum Values
  +
** Critical Points
  +
*** Find all critical points of f(x,y) (or f(x,y,z)).
  +
** Second Derivative Test for Local Maximum and Minimum
  +
*** Find all local maximum and minimum of f(x,y) at the critical point (x0,y0) by the Second Derivative Test.
  +
** Absolute Maximum and Minimum
  +
*** Find the absolute maximum and minimum of f(x,y) over a region.
 
* Lagrange Multipliers
  
* Lagrange Multipliers
   
−
[[ModelUnits/Calculus/PartialDerivatives/Unit3]]
  
   
−
[[ModelCourses/Calculus/PartialDerivatives]]
  
  +
:[[File:setTopic03_Partial_Derivatives_model_multivariate_calculus.def|Download Set Definition File]]
   
 
== <span style="color:blue">Multiple Integrals</span> ==
  
== <span style="color:blue">Multiple Integrals</span> ==
  +
:[[File:setTopic_Multiple_Integration_model_multivariate_calculus.def|Download this entire collection of problem sets]]
   
−
=== Unit 1 - Double Integrals Rectangular ===
 +
=== Unit 1 - [[ModelCourses/Calculus/MultipleIntegrals/Rectangular|Double Integrals and Applications]]===
−
* Iterated Integrals
  
−
** Simple Calculations
  
−
** Changing the order of integration
  
−
** Simple area questions
  
−
* Setting up Double Integrals over General Regions
  
−
** Setup, given a set of inequalities
  
−
* Applications of Double Integrals in Rectangular Coordinates
  
−
** Volume
  
−
** Total Mass, Centroid, Moments
  
   
−
[[ModelUnits/Calculus/MultipleIntegrals/Unit1]]
  
  +
* Double Integrals
  +
** Double Integrals in the Rectangular Coordinates
  +
*** Set up and evaluate a double integral over a rectangular region.
  +
*** Set up and evaluate a double integral over a general region.
  +
*** Change the order of a given double integral.
  +
** Double Integrals in Polar Coordinates
  +
*** Set up and evaluate a double integral over a region in polar coordinates.
  +
*** Express a given double integral in rectangular coordinates in polar coordinates.
  +
* Applications of Double Integrals
  +
** Area of a region
  +
** Average value of f(x,y) over a region
  +
** Surface area of a solid
  +
** Volume of the solid under the surface z=f(x,y) over a region
  +
** Centroid of a region, center of mass
   
−
=== Unit 2 - Double Integral Polar ===
  
  +
:[[File:setTopic01_Multiple_Integration_model_multivariate_calculus.def|Download Set Definition File]]
−
* Double Integrals in Polar Coordinates
  
−
* Applications of Double Integrals in Polar Coordinates
  
   
−
[[ModelUnits/Calculus/MultipleIntegrals/Unit2]]
 +
=== Unit 2 - [[ModelCourses/Calculus/MultipleIntegrals/TripleIntegrals|Triple Integrals and Applications]] ===
   
−
=== Unit 3 - Triple Integrals ===
  
 
* Triple Integrals
  
* Triple Integrals
−
* Triple Integrals in Cylindrical Coordinates
 +
** Triple Integrals in Rectangular Coordinates
−
* Triple Integrals in Spherical Coordinates
 +
** Triple Integrals in Cylindrical Coordinates
  +
** Triple Integrals in Spherical Coordinates
  +
*** Set up a triple integral for in the rectangular, cylindrical or spherical coordinates.
  +
*** Exchange the order of integration of a triple integral.
  +
*** Exchange the coordinate systems of a triple integral.
 
* Change of Variables in Multiple Integrals
  
* Change of Variables in Multiple Integrals
 
* Applications of Triple Integrals
  
* Applications of Triple Integrals
−
** Volume
 +
** Volume of a Solid
−
** Total Mass, Centroid, Moments
 +
** Average Value of f(x,y,z) over a Solid
  +
** Center of Mass
   
−
[[ModelUnits/Calculus/MultipleIntegrals/Unit3]]
  
  +
:[[File:setTopic02_Multiple_Integration_model_multivariate_calculus.def|Download Set Definition File]]
−  
−
[[ModelCourses/Calculus/MultipleIntegrals]]
  
   
 
== <span style="color:blue">Vector Calculus</span> ==
  
== <span style="color:blue">Vector Calculus</span> ==
  +
:[[File:setTopic_Vector_Calculus_model_multivariate_calculus.def|Download this entire collection of problem sets]]
  +
=== Unit 1 - [[ModelCourses/Calculus/VectorCalculus/VectorFields|Vector Fields]] ===
   
−
=== Unit 1 - Vector Fields ===
 +
* Vector Fields
−
* Vector Fields in 2D
 +
** Vector Fields in 2D and 3D
−
** Basic Graphing
 +
** Gradient Vector Fields, and Conservative Vector Fields
−
** Gradient vector fields and tests for conservative vector fields
 +
*** For a given vector field, determine if it is conservative and find its potential function if it is conservative.
−
* Vector Fields in 3D
 +
*** Sketch a vector field at a given point.
−
** Basic Graphing tricks and software
 +
*** Sketch a trace of the flow of a velocity vector field.
−
** Gradient vector fields and tests for conservative vector fields
  
   
−
[[ModelUnits/Calculus/VectorCalculus/Unit1]]
  
  +
:[[File:setTopic01_Vector_Calculus_model_multivariate_calculus.def|Download Set Definition File]]
   
−
=== Unit 2 - Line Integrals in 2D ===
 +
=== Unit 2 - [[ModelCourses/Calculus/VectorCalculus/LineIntegrals|Line Integrals in 2D and Applications]] ===
  +
  +
* Parametric Equations for Curves (line segments, circle, ellipses)
 
* Line Integrals of a scalar function
  
* Line Integrals of a scalar function
−
** Simple computations with respect to ds, dx, dy and dz
  
  +
*** Set up a line integral of f(x,y) over a curve C.
−
** Application to Total Mass and Lateral Surface Area
  
  +
*** Compute the total mass of a wire with a given density function.
−
* Line Integrals over a vector field
 +
* Line Integrals of a vector field
−
** Simple computations
 +
*** Set up a line integral of vector field over a curve C.
−
** Application to Work
 +
*** Compute the total work done by a given force vector field along a curve C.
  +
*** Compute the total circulation of a vector field along a closed curve C.
 
* The Fundamental Theorem of Calculus for Line Integrals
  
* The Fundamental Theorem of Calculus for Line Integrals
−
** Relationship with conservative fields and independence of path.
  
  +
*** Use a potential function of a conservative vector field F to evaluate the line integral of F along a curve C.
 
* Green's Theorem
  
* Green's Theorem
−
** Simple calculations
  
  +
*** Use Green's Theorem to evaluate a line integral of a vector field over a closed curve when all required conditions are satisfied.
−
** Changing orientations, holes
  
  +
−
** Applications in Physics
  
  +
:[[File:setTopic02_Vector_Calculus_model_multivariate_calculus.def|Download Set Definition File]]
   
−
[[ModelUnits/Calculus/VectorCalculus/Unit2]]
 +
=== Unit 3 - [[ModelCourses/Calculus/VectorCalculus/LineIntegrals3D|Line Integrals in 3D and Applications]] ===
   
−
=== Unit 3 - Line Integrals in 3D ===
  
 
* Parametric Surfaces and Areas (sometimes optional due to time constraints)
  
* Parametric Surfaces and Areas (sometimes optional due to time constraints)
 
* Curl and Divergence (sometimes optional due to time constraints)
  
* Curl and Divergence (sometimes optional due to time constraints)
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* The Divergence Theorem (often optional)
  
* The Divergence Theorem (often optional)
   
−
[[ModelUnits/Calculus/VectorCalculus/Unit3]]
  
  +
:[[File:setTopic03_Vector_Calculus_model_multivariate_calculus.def|Download Set Definition File]]
−  
−
[[ModelCourses/Calculus/VectorCalculus]]
  
   
 
= Packaged Courses =
  
= Packaged Courses =
  +
== Moodle ==
  +
https://test.webwork.maa.org/moodle/
 
== Stewart ==
  
== Stewart ==
 
[[Stewart_packaged]]
  
[[Stewart_packaged]]
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== Larson ==
  
== Larson ==
 
[[Larson_packaged]]
  
[[Larson_packaged]]
  +
  +
= =
  +
=[[ModelCourses|Other Model Course Pages]]=
   
   
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[[Category:PREP 2011]]
  
[[Category:PREP 2011]]
 
[[Category:Events]]
  
[[Category:Events]]
  +
[[Category:Model Courses]]

Latest revision as of 23:03, 2 January 2012

Multivariate Calculus Model Course Units

A user of this material should locate appropriate units below that fit their particular course in multivariate calculus.

Instructions for importing problem sets Instructions for exporting problem sets

Within each Unit below, specific problem types should be described. Detailed problem descriptions are given by clicking on the unit title.

Complete problem sets for each unit will eventually be collected and made available from this site (and perhaps from within the WebWork system itself) but these have not been made available yet. Also, the specific problems suggested could be directly linked if desired although this might be a bit too much!

Download this entire course of problem sets

Vectors in Space

Download this entire collection of problem sets

Unit 1 - Vector Algebra

  • Vector Algebra
  • Dot Product and Applications
  • Cross Product and Applications
Download Set Definition File

Unit 2 - Lines and Planes

  • Lines in Space
    • Two forms of a line in space: (1) parametric equations and symmetric equations
      • Express a line that passes two given points.
      • Express a line that passes through a given point and is parallel to a given line.
      • Express a line that passes through a given point and is perpendicular to a given line.
      • Express a line that passes through a given point and is perpendicular to two given lines that are not parallel.
      • Determine if two given lines are parallel, perpendicular or neither.
      • Determine if two given lines intersect or are skew, and find the intersection if they intersect.
      • Determine if a given line passes through a given point.
  • Planes in Space
    • Plane formula
      • Determine if a given plane contains a given point.
      • Express a plane that contains a given point and is perpendicular to a given vector.
      • Express a plane that contains a given point and is parallel to a given plane.
      • Express a plane that contains a given point and is perpendicular to a given plane.
      • Express a plane that contains a given point and is perpendicular to given two planes that are not parallel.
      • Determine if two given planes are parallel, perpendicular or neither.
      • Find the intersection of two planes that are not parallel.
Download Set Definition File

Unit 3 - Cylindrical Surfaces and Quadric surfaces

  • Cylindrical Surfaces
      • Sketch the curve f(x,y)=0, z=z0 (or g(x,z)=0, y=y0 or h(y,z), x=x0) in the xyz-space.
      • Sketch the surface f(x,y)=0 (or g(x,z)=0, or h(y,z)=0) in the xyz-space.
  • Quadric Surfaces
    • Quadratic equations for (1) sphere (2) ellipsoid (3) paraboloid (4) elliptic cone (5) hyperboloid of one sheet (6) hyperboloid of two sheet (7) hyperbolic paraboloid
Download Set Definition File

Unit 4 - Non-rectangular Coordinate Systems

  • Cylindrical Coordinates
  • Spherical Coordinates
  • Applications
Download Set Definition File

Vector-valued Functions in One Variable

Download this entire collection of problem sets

Unit 1 - Calculus of Vector Functions

  • Calculus of Vector-valued Function in One Variable
    • Vector-value function r(t)
      • Express the domain of r(t) a 2-D (or 3-D) vector-valued function in an interval notation.
      • Determine if a given point is on the curve traced out by r(t).
      • Sketch the curved traced out by r(t).
      • Find all values of t at which r(t) is parallel to a given vector.
      • Find all values of t at which r(t) is perpendicular to a given vector
    • Derivatives of Vector Functions
      • Compute the tangent vector r'(t) of r(t).
      • Find all values of t at which r(t) and r'(t) are perpendicular.
      • Show that r(t) and r'(t) are perpendicular at every t if the magnitude of r(t) is a constant.
    • Integrals of Vector Functions
      • Compute an indefinite integral of r(t).
      • Compute a definite integral of r(t).
Download Set Definition File

Unit 2 - Vector Function Applications

  • Arc Length
  • Curvature
  • Unit Tangent and Unit Normal vectors
  • Computing the radius, center and equation of osculating circle
  • Motion in Space: Velocity and Acceleration
Download Set Definition File

Multi-variable Functions

Download this entire collection of problem sets

Unit 1 - Multi-variable Functions

  • Domain and range
    • Find and sketch the domain of a given function.
    • Evaluate a function at a given point.
    • Find the range of a given function.
    • Sketch level curves (surfaces) of f(x,y) (f(x,y,z)).
    • Sketch the surface z=f(x,y) and traces f(x,y)=z0 on the surface.
  • Limits
    • Definition of limit
      • Show the limit of a function does not exist by showing the function has two different limits along two distinct paths, respectively.
      • Compute the limit or show limit does not exist using polar coordinates.
      • Compute the limit or show limit does not exist using the definition of limit.
  • Continuity
    • Definition of continuity
      • Determine if a function is continuous at a given point by checking if the limit is the same as the value of the function at this point.
      • Find the region over which the function is continuous.
Download Set Definition File

Unit 2 - Partial Derivatives - Rules

  • Partial Derivatives
    • Definitions of Partial Derivatives
      • Compute the first partial derivative of f with respect to x (y or z).
      • Sketch the tangent line at a given point on the trace f(x,y)=z0.
      • Compute higher order partial derivatives.
  • Partial Derivatives using Rules
    • Differentiation Rule
    • The Chain Rule
    • Implicit differentiation using partial derivatives
  • Directional Derivatives and the Gradient Vectors
    • Gradient Vectors
      • Compute the gradient vector of f at a given point.
      • Compute the gradient vector of f at any point in its domain.
      • Find all points at which the gradient of f is a zero vector.
      • Sketch the gradient vector of f(x,y) at (x0,y0) on the level curve f(x,y)=f(x0,y0).
    • Definition of Directional Derivative
    • Directional Derivative as the dot product of gradient vector and unit direction vector
      • Compute the directional derivative of f at a point along a unit direction.
      • Compute the directional derivative of f as (x,y) (or (x,y,z)) moves from point A to point B.
      • Find the maximum (minimum) rate of change of f at a given point and the corresponding direction vector.
      • Determine if f is increasing, decreasing or neither at a given point along a give direction.
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Unit 3 - Partial Derivatives - Applications

  • Tangent Planes and Linear and Quadratic Approximations
    • Tangent Planes and Linear Approximations
      • Find the equation of the tangent plane of the surface z=f(x,y) at (x0,y0).
      • Find all points (x,y) at which the tangent plane of z=f(x,y) at (x0,y0) is parallel to a given plane.
      • Find the linear approximation L(x,y) of f(x,y) at (x0,y0).
      • Approximate f(x1,y1) by L(x1,y1).
    • Quadratic Approximations
      • Find the quadratic approximation Q(x,y) of f(x,y) at (x0,y0).
      • Approximate f(x1,y1) by Q(x1,y1).
  • Maximum and Minimum Values
    • Critical Points
      • Find all critical points of f(x,y) (or f(x,y,z)).
    • Second Derivative Test for Local Maximum and Minimum
      • Find all local maximum and minimum of f(x,y) at the critical point (x0,y0) by the Second Derivative Test.
    • Absolute Maximum and Minimum
      • Find the absolute maximum and minimum of f(x,y) over a region.
  • Lagrange Multipliers


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Multiple Integrals

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Unit 1 - Double Integrals and Applications

  • Double Integrals
    • Double Integrals in the Rectangular Coordinates
      • Set up and evaluate a double integral over a rectangular region.
      • Set up and evaluate a double integral over a general region.
      • Change the order of a given double integral.
    • Double Integrals in Polar Coordinates
      • Set up and evaluate a double integral over a region in polar coordinates.
      • Express a given double integral in rectangular coordinates in polar coordinates.
  • Applications of Double Integrals
    • Area of a region
    • Average value of f(x,y) over a region
    • Surface area of a solid
    • Volume of the solid under the surface z=f(x,y) over a region
    • Centroid of a region, center of mass
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Unit 2 - Triple Integrals and Applications

  • Triple Integrals
    • Triple Integrals in Rectangular Coordinates
    • Triple Integrals in Cylindrical Coordinates
    • Triple Integrals in Spherical Coordinates
      • Set up a triple integral for in the rectangular, cylindrical or spherical coordinates.
      • Exchange the order of integration of a triple integral.
      • Exchange the coordinate systems of a triple integral.
  • Change of Variables in Multiple Integrals
  • Applications of Triple Integrals
    • Volume of a Solid
    • Average Value of f(x,y,z) over a Solid
    • Center of Mass
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Vector Calculus

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Unit 1 - Vector Fields

  • Vector Fields
    • Vector Fields in 2D and 3D
    • Gradient Vector Fields, and Conservative Vector Fields
      • For a given vector field, determine if it is conservative and find its potential function if it is conservative.
      • Sketch a vector field at a given point.
      • Sketch a trace of the flow of a velocity vector field.
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Unit 2 - Line Integrals in 2D and Applications

  • Parametric Equations for Curves (line segments, circle, ellipses)
  • Line Integrals of a scalar function
      • Set up a line integral of f(x,y) over a curve C.
      • Compute the total mass of a wire with a given density function.
  • Line Integrals of a vector field
      • Set up a line integral of vector field over a curve C.
      • Compute the total work done by a given force vector field along a curve C.
      • Compute the total circulation of a vector field along a closed curve C.
  • The Fundamental Theorem of Calculus for Line Integrals
      • Use a potential function of a conservative vector field F to evaluate the line integral of F along a curve C.
  • Green's Theorem
      • Use Green's Theorem to evaluate a line integral of a vector field over a closed curve when all required conditions are satisfied.
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Unit 3 - Line Integrals in 3D and Applications

  • Parametric Surfaces and Areas (sometimes optional due to time constraints)
  • Curl and Divergence (sometimes optional due to time constraints)
  • Surface Integrals (sometimes optional due to time constraints)
  • Stokes' Theorem (often optional)
  • The Divergence Theorem (often optional)
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``Future Work: A rubric needs to be developed that helps instructors determine the hardness level of a particular problem.``

  • Development Workgroup: Mei Qin Chen, Dick Lane and John Travis
  • To Do:
    • Finish choosing problem sets for remaining units
    • Add features to problems to include:
      • Hints
      • Solutions
      • MetaTags
      • Improvements such as changing multiple choice problems to fill in the blank, etc.


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