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Catalog Description: |
Vectors, multivariable functions, partial derivatives, multiple integration, and theorems of Green and Stokes. (Offered each semester)
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| Prerequisites: |
MATH 112 Calculus II
- Understand and use the fundamental theorem of calculus.
- Familiarity with various techniques of integration.
- Understand the Calculus of functions of a single variable.
- Familiarity with the polar coordinate system.
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Required Course Materials: |
Larson, Hostetler and Edwards, Calculus, 9th edition, Brooks/Cole, 2010 (ISBN: 9780547209982)
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Course Coordinator: |
Lamarr C. Widmer, Ph.D., Associate Professor of Mathematics
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Course Audience: |
Students majoring in computer science, engineering, mathematics,
physics, or chemistry.
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Course Objectives: |
- To develop a rigorous understanding of the geometry of space and functions of several variables including partial differentiation and multiple integration.
- To develop a rigorous understanding of vectors and vector-valued functions with an introduction to vector analysis.
- To enhance learning by examining geometric, numerical, and algebraic aspects of each problem.
- To acquire an understanding of the breadth of mathematics by introducing applications in a wide variety of scientific fields.
- To use the tools of Calculus to formulate and solve multi-step problems, and to interpret the numerical results.
- To enhance the ability to communicate mathematical concepts through a series of written laboratory assignments and classroom discussions.
- To select and use technology when appropriate in problem solving.
- To develop an ability to recognize calculus concepts in the context of written problems and implement the corresponding processes.
- To develop the process of making appropriate conjectures, finding suitable means to test those conjectures, and drawing conclusions about their validity.
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Topics: |
- Vectors and space: a) space coordinates, b) dot product, c) cross product, and d) lines and planes in space.
- Vector-valued functions: a) differentiation and integration of vector-valued functions, b) velocity and acceleration, c) tangent and normal vectors, d) arclength, and e) curvature.
- Functions of several variables: a) limits and continuity, b) partial derivatives, c) differentials, d) chain rule, e) directional derivatives and gradient, f) tangent planes, g) extrema, and h) LaGrange multipliers.
- Multiple integration: a) iterated integrals, b) double and triple integrals, c) surface area, d) cylindrical and spherical coordinates, and e) center of mass and moments of inertia.
- Vector Analysis: a) vector fields, b) line integrals, c) independence of path, d) Green's Theorem, e) surface integrals, f) Divergence Theorem, and g) Stoke's Theorem.
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