MAT-273 Calculus III

The calculus of multivariable functions and vectors. Topics include partial differentiation, multiple integrals, optimization, multiple integration, line integrals and vector fields. Graphing calculator required; see department chair for specific model.

Credits

4

Prerequisite

MAT-272

Department

  • Mathematics

Semesters Course Will Be Offered

  • Fall
  • Spring
  • Summer

Course Rotation Schedule

  • Fall: Online
  • Spring: In Person
For more detailed course information view the Course Outline

MAT 273: Calculus III

Department

Mathematics

Course Description

The calculus of multivariable functions and vectors. Topics include partial differentiation, multiple integrals, optimization, multiple integration, line integrals and vector fields. Graphing calculator required; see department chair for specific model.

Credit Hours

4

Contact Hours

Lecture4
Lab0
Other0

Grading Scheme

Letter

Semester(s) Course Will Be Offered

Fall, Spring, Summer

Prerequisites

MAT-272

Course Learning Outcomes

  1. Use multivariable functions and analyze them algebraically and graphically
  2. Perform operations with vectors
  3. Find the partial derivatives of multivariable functions
  4. Find local and global extrema of multivariable functions
  5. Solve applied problems using multivariable functions and vectors
  6. Integrate multivariable functions
  7. Evaluate line integrals
  8. Apply Green's, divergence and Stokes' theorems
  9. Evaluate their results for reasonableness

Topic Outline

  1. 1. Functions of several variables
  2.     a. Functions of two variables
  3.     b. Three-dimensional space
  4.     c. Graphs of functions of two variables
  5.     d. Contour diagrams
  6.     e. Linear functions
  7.     f. Functions of more than two variables
  8.     g. Limits and continuity
  9. 2. Vectors
  10.     a. Displacement vectors
  11.     b. Vectors in general
  12.     c. The dot product
  13.     d. The cross product
  14. 3. Differentiating functions of many variables
  15.     a. Partial derivatives
  16.     b. Computing partial derivatives algebraically
  17.     c. Local linearity and the differential
  18.     d. Gradients and directional derivatives in the plane
  19.     e. Gradients and directional derivatives in space
  20. 4. Optimization: local and global extrema
  21.     a. Local extrema
  22.     b. Global extrema: unconstrained optimization
  23. 5. Integrating functions of many variables
  24.     a. The definite integral of a function of two variables
  25.     b. Iterated integrals
  26.     c. Triple integrals
  27.     d. Double integrals in polar coordinates
  28.     e. Integrals in cylindrical and spherical coordinates
  29. 6. Line integrals
  30.     a. The idea of a line integral
  31.     b. Computing line integrals over parameterized curves
  32.     c. Gradient fields and path-independent fields
  33.     d. Green's theorem
  34. 7. Calculus of vector fields
  35.     a. The divergence of a vector field
  36.     b. The divergence theorem
  37.     c. The curl of a vector field
  38.     d. Stokes' theorem