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MATH 430 - Advanced Mathematical Modeling
Fall 2019, Section 01

search actionsID #Subj#SecTitleDatesDaysTimeCrdsStatusInstructorDelivery MethodLoc
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001087 MATH 430 01 Advanced Mathematical Modeling
10/24 - 12/12
6:00pm - 9:20pm
2.0 Open Wagstrom, Rikki
Location: z MnSCU Metropolitan State University
Building/Room: LIBRARY 321

Meeting Details
10/24/2019 - 12/12/2019 Th 6:00pm - 9:20pm LIBRARY 321 Wagstrom, Rikki

  • Note: The first set of prerequisite courses are for students pursuing either the Mathematics, B.A. or the Applied Mathematics, B.S. program. The second set of prerequisite courses are for students pursuing the Industrial & Applied Mathematics, B.S. program.

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

Seat Availability
Status: Open Size: 26 Enrolled: 14 Seats Remaining: 12

Prerequisites (Courses and Tests)
[MATH 315 - Linear Algebra and Applications AND MATH 350 - Ordinary Differential Equations AND STAT 201 - Statistics I AND MATH 320 - Probability AND ICS 140 - Computational Thinking with Programming AND MATH 230 - Introduction to Mathematical Modeling; OR , MATH 420 - Numerical Analysis AND STAT 311 - Regression Analysis AND ICS 141 - Programming with Objects AND ICS 141 - Programming with Objects AND MATH 355 - Introduction to Stochastic Processes AND MATH 330 - Optimization]
  • Requires minimum credits: 30

Full refund is available until October 25, 2019, 11:59PM CST.
The last day to add this course is 5 business day(s) after October 22, 2019. The last day to drop this course is 5 business day(s) after October 22, 2019.
The last day to withdraw from this course is December 5, 2019.

Tuition and Fees (Approximate)

Tuition and Fees (approximate):

Tuition -resident: $468.72
Tuition -nonresident: $956.32
Approximate Course Fees: $72.22

Course Level

This course provides students with significant problem-solving experience through investigating complex, open-ended problems arising in real-world settings. Working in teams, students apply mathematical modeling processes to translate problems presented to them into problems that can be investigated using the mathematical, statistical, and computational knowledge and thinking they have gained from previous coursework. Significant emphasis is placed on justifying approaches used to investigate problems, coordinating the work of team members, and communicating analyses and findings to technical and non-technical audiences.

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