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MATH 315 - Linear Algebra and Applications
Fall 2017, Section 01

ID #Subj#SecTitleDatesDaysTimeCrdsStatusInstructorDelivery MethodLoc
000776 MATH 315 01 Linear Algebra and Applications
08/21 - 12/04
M
6:00pm - 9:20pm
4.0 Open Wagstrom, Rikki
Location: z MnSCU Metropolitan State University
Building/Room: New Main L211


Meeting Details
DatesDaysTimeBuilding/RoomInstructor
8/21/2017 - 12/4/2017 M 6:00pm - 9:20pm New Main L211 Wagstrom, Rikki

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

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 310 - Calculus III: Multivariable Calculus

Restrictions
  • Requires minimum credits: 30

Add/Drop/Withdraw
Full refund is available until August 27, 2017, 11:59PM CST.
Adding course is closed. Dropping course is closed.
The last day to withdraw from this course is November 20, 2017.

Tuition and Fees (Approximate)

Tuition and Fees (approximate):

Tuition -resident: $910.12
Tuition -nonresident: $1,856.92
Approximate Course Fees: $137.88

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
The need to solve systems of linear equations frequently arises in mathematics, the physical sciences, engineering and economics. In this course we study these systems from an algebraic and geometric viewpoint. Topics include systems of linear equations, matrix algebra, Euclidean vector spaces, linear transformations, linear independence, dimension, eigenvalues and eigenvectors.

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