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Viewing: MATH 2233 : Multivariable Calculus

Last approved: Fri, 16 Jun 2017 08:02:32 GMT

Last edit: Wed, 14 Jun 2017 16:03:08 GMT

Other Courses referencing this course

In The Catalog Prerequisites:

APSC 2114 : Engineering Analysis II
ASTR 2183 : General Relativity
CE 3720 : Highway Engineering and Design
CE 6722 : Intelligent Transportation Systems
CE 6730 : Sustainable Urban Planning
EMSE 2705 : Mathematics in Operations Research
EMSE 6701 : Operations Research Methods
EMSE 6705 : Mathematics in Operations Research
EMSE 6715 : Theory of Games
EMSE 6750 : Stochastic Foundations of Operations Research
MATH 3257 : Introduction to Complex Variables
MATH 3342 : Ordinary Differential Equations
MATH 3410 : Mathematics of Finance
MATH 3848 : Differential Geometry
MATH 4240 : Real Analysis II
MATH 4981 : Seminar: Topics in Mathematics
MATH 4981W : Seminar; Topics in Mathematics
MATH 6441 : Introduction to Financial Mathematics
MATH 6442 : Stochastic Calculus Methods in Finance
PHYS 1023W : Modern Physics
PHYS 2023 : Modern Physics
PHYS 2127 : Biophysics: Macroscopic Physics in the Life Sciences
PHYS 2128 : Biophysics: Microscopic Physics in the Life Sciences
PHYS 2161 : Mechanics I
PHYS 2163 : Physical and Quantum Optics
PHYS 2164 : Thermal and Statistical Physics
PHYS 2165 : Electromagnetic Theory
PHYS 2167 : Principles of Quantum Physics
PHYS 2181 : Computational Mechanics
PHYS 3161 : Mechanics
PHYS 3163 : Physical and Quantum Optics
PHYS 3165 : Electromagnetic Theory I
PHYS 3167 : Principles of Quantum Physics
PHYS 3181 : Computational Physics
STAT 4181 : Applied Time Series Analysis
STAT 6201 : Mathematical Statistics I
STAT 6202 : Mathematical Statistics II
STAT 6214 : Applied Linear Models
STAT 6242 : Modern Regression Analysis
STAT 8281 : Advanced Time Series Analysis

In The Catalog Description:

APSC 2113 : Engineering Analysis I
PHYS 6810 : Applied Statistics and Data Analysis in Physics

As A Banner Prerequisite:

PHYS 1023 : Modern Physics
Columbian College of Arts and Sciences
Mathematics (MATH)
MATH
2233
Multivariable Calculus
Multivariable Calculus
Fall 2017
0,3
Course Type
Lecture
Recitation
Default Grading Method
Letter Grade

No
No
MATH 1232
Corequisites

368

Frequency of Offering

Term(s) Offered

Are there Course Equivalents?
No
 
No
Fee Type


No


Partial derivatives and multiple integrals. Vector-valued functions. Line and surface integrals and the theorems of Gauss, Green, and Stokes.
After completing this course, students will be able to: • determine equations of lines and planes using vectors and dot and cross products; • compute the various analogues of derivatives and integrals for functions of several variables, vector-valued functions, and vector fields; • use polar, cylindrical, and spherical coordinates to compute double and triple integrals; and • apply the theorems of Green, Gauss, and Stokes to make integral computations.

Course Attribute
Gen Ed: Math or Stat
CCAS - GCR: Q & L
Updated 04/07/2017.
candaceg (Wed, 15 Mar 2017 15:04:16 GMT): Rollback: Hello, please shorten the course description and add the safety and security statement to the syllabus. Also, please distinguish which syllabus is being considered for this course (2 are attached). Syllabus template attached for further guidance.
Key: 5601