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The key topics and learning objectives for a multivariable calculus course. Topics include multivariable functions, vectors, limits, partial derivatives, directional derivatives, gradient, curl and divergence, optimization, integration, parametrized curves, and vector fields. Students are expected to understand concepts related to 3-d space, equations of planes and spheres, arithmetic on vectors, dot product, cross product, limits, partial derivatives, directional derivatives, gradient, curl and divergence, optimization, integration, parametrized curves, and vector fields.
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(a) Locate and classify critical points in a contour diagram (b) Find critical points given a formula (c) Find maxima and minima (d) Second derivative test (e) Extreme value theorem, including understanding of closed and bounded (f) Lagrange multipliers
(a) Predict the sign of a multiple integral (b) Compute a multiple integral (c) Sketch region of integration (d) Choose or change the order of integration (e) Polar and cylindrical coordinates
(a) Construct parametrizations of lines, circles, and explicitly defined curves (b) Velocity and speed
(a) Sketch a vector field with a given formula (b) Recognize a conservative (gradient) vector field (c) Find a formula for a potential function of a vector field
(a) Given a picture of a vector field, predict the sign of a line integral (b) Compute a line integral using explicit parametrization formula (c) Compute arc length of a curve (d) For a gradient field, compute using the fundamental theorem of line integrals (e) For a gradient field, compute using a reparametrization and path independence (f) For a gradient field, the line integral over a loop is zero