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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
W
6:00pm - 9:20pm
4.0 Open Kaus, Cynthia
Location: z MnSCU Metropolitan State University
Building/Room: Midway Center P


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

Notes
  • Note: Students whose prerequisites are not identified by the system would contact the Math and Statistics Department for an override at MATH@metrostate.edu. 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

Restrictions
  • Permission is required
  • Requires minimum credits: 30

Add/Drop/Withdraw
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
Undergraduate

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.

Description
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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