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“The instructor is amazing at explaining the concepts and working through them. I wish the instructor taught all of math.”
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Course Summary
Learn everything you need to know to get through Partial Derivatives and prepare you to go into Multiple Integrals with a solid understanding of what’s going on. Video explanations, text notes, and quiz questions that won’t affect your class grade help you “get it” in a way textbooks never explain.
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Course outline
The curriculum includes:
Three-dimensional coordinate systems
Plotting points in three dimensions
Distance between points in three dimensions
Center, radius, and equation of the sphere
Describing a region in three-dimensional space
Using inequalities to describe the region
Sketching graphs and level curves
Sketching graphs of multivariable functions
Matching the function with the graph and level curves
Lines and planes
Vector and parametric equations of a line
Parametric and symmetric equations of a line
Symmetric equations of a line
Parallel, intersecting, skew and perpendicular lines
Equation of a plane
Intersection of a line and a plane
Parallel, perpendicular and angle between planes
Parametric equations for the line of intersection of two planes
Symmetric equations for the line of intersection of two planes
Distance between a point and a line
Distance between a point and a plane
Distance between parallel planes
Cylinders and quadric surfaces
Reducing equations to standard form
Sketching the surface
Traces to sketch and identify the surface
Limits and continuity
Domains
Limits
Precise definition of the limit
Discontinuities
Partial derivatives
Partial derivatives in two variables
Partial derivatives in three or more variables
Second order and higher order partial derivatives
Differentials
Differential of a multivariable function
Chain rule
Chain rule for multivariable functions
Chain rule and tree diagrams
Implicit differentiation
Directional derivatives
In the direction of the vector
In the direction of the angle
Linear approximation and linearization
Linear approximation
Linearization
Gradient vectors
Gradient vectors
Gradient vectors and the tangent plane
Maximum rate of change and its direction
Tangent planes and normal lines
Equation of the tangent plane
Normal line to the surface
Optimization
Critical points
Second derivative test
Local extrema and saddle points
Global extrema
Extreme value theorem, extrema in the set D
Applied optimization
Maximum product of three real numbers
Maximum volume of a rectangular box inscribed in a sphere
Minimum distance between the point and the plane
Points on the cone closest to the given point
Lagrange multipliers
Two dimensions and one constraint
Three dimensions and one constraint
Three dimensions and two constraints
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Course notes and flashcards
Practice quizzes
Bonus practice workbooks
Comprehensive formula sheets
Summary study sheets
Practice final exams
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