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May 26, 2014 by Misrak Negatu (misrak)
Feb 23, 2015 by Misrak Negatu (misrak)
May 15, 2017 by Misrak Negatu (misrak)
MATH 3342 : Ordinary Differential Equations
Mon, 15 May 2017 08:02:26 GMT
Fri, 05 May 2017 16:29:10 GMT
Catalog Pages referencing this course
Programs referencing this course
ASTRO-BS: Astronomy and Astrophysics
MATHI-BS: Mathematics, Interdisciplinary Concentration
Other Courses referencing this course
In The Catalog Prerequisites:
ASTR 3183 : General Relativity
MATH 3343 : Partial Differential Equations
MATH 3359 : Introduction to Mathematical Modeling
MATH 6523 : Numerical Solution of Ordinary and Partial Differential Equations
MATH 6540 : Topics in Numerical Analysis
PHYS 3164 : Thermal and Statistical Physics
PHYS 3165 : Electromagnetic Theory I
PHYS 3166 : Electromagnetic Theory II
PHYS 3167 : Principles of Quantum Physics
PHYS 4170 : Solid-State Physics
PHYS 4175 : Nuclear Physics
Columbian College of Arts and Sciences
Long Course Title
Ordinary Differential Equations
Short Course Title
Ordinary Differential Equation
Number of Credits
Default Grading Method
Repeatable for Credit?
MATH 2233; MATH 2184 or MATH 2185
Frequency of Offering
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Are Fees Applicable?
Explanation and Description of Fees
Are Additional Resources Required?
Explanation of Additional Resources
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A first course in ordinary differential equations, with an emphasis on mathematical modeling: solution curves, direction fields, existence and uniqueness, approximate solutions, first-order and second-order linear equations, linear systems, and phase portraits.
As a result of completing this course, students will be able to: 1) classify ordinary differential equations by their type and order; 2) solve the 1st order differential equations by either analytical methods, or numerically, or by performing the stability analysis; 3) solve the 2nd order homogeneous linear differential equations with constant coefficients by the characteristic method and some inhomogeneous equations via the method of undetermined coefficients or variation of parameters method; 4) classify system of ODEs into linear and nonlinear cases; solve linear systems by the method of eigenvalues and eigenvectors; understand a general behavior of nonlinear systems; 5) use the Laplace transform to solve Initial Value Problems; 6) solve numerically basic ODEs via MATLAB.
Uploaded a Course Syllabus
Required Syllabus Template_082516.docx
Explanation of how the course differs from similar GW courses
CCAS - GCR: Q & L
Course Reviewer Comments
Tue, 21 Feb 2017 18:37:23 GMT
Rollback: please add a weekly schedule. template attached for further guidance.