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MATH 350 - Ordinary Differential Equations
Fall 2019, Section 01

search actionsID #Subj#SecTitleDatesDaysTimeCrdsStatusInstructorDelivery MethodLoc
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000742 MATH 350 01 Ordinary Differential Equations
08/28 - 12/11
6:00pm - 9:20pm
4.0 Open Kaus, Cynthia
Location: z MnSCU Metropolitan State University
Building/Room: Midway Center P

Meeting Details
8/28/2019 - 12/11/2019 W 6:00pm - 9:20pm Midway Center P Kaus, Cynthia

  • Note: Students whose prerequisites are not identified by the system would contact the Math and Statistics Department for an override at First day attendance required except by instructor permission. Contact the instructor for permission to register.

Location Details
Offered through: Metropolitan State University.
Campus: Metropolitan State University. Location: z MnSCU Metropolitan State University.

Seat Availability
Status: Open Size: 26 Enrolled: 11 Seats Remaining: 15

Prerequisites (Courses and Tests)
This course requires the following prerequisite
MATH 211 - Calculus II

  • Permission is required
  • Requires minimum credits: 30

Full refund is available until August 30, 2019, 11:59PM CST.
Adding course is closed. Dropping course is closed.
The last day to withdraw from this course is November 25, 2019.

Tuition and Fees (Approximate)

Tuition and Fees (approximate):

Tuition -resident: $937.44
Tuition -nonresident: $1,912.64
Approximate Course Fees: $144.44

Course Level

General/Liberal Education Category
Upper Division Liberal Studies

Minnesota Transfer Curriculum Goal
Goal 04 - Mathematical/Logical Reasoning
  • Illustrate historical and contemporary applications of mathematical/logical systems.
  • Clearly express mathematical/logical ideas in writing.
  • Explain what constitutes a valid mathematical/logical argument(proof).
  • Apply higher-order problem-solving and/or modeling strategies.

This course develops the more advanced mathematical tools necessary for an in-depth analysis of dynamic models. Topics include first order differential equations, first order systems, linear systems, nonlinear systems and numerical methods.

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