Winter 2022
Meeting:
MWF 1:30pm - 2:20pm / ECE 105
SLN:
10214
Section Type:
Lecture
Instructor:
Ryan Patrick Creedon
ADD CODE POLICY:
AMATH.WASHINGTON.EDU/ADVISING
Catalog Description:
Analysis and application of numerical methods and algorithms to problems in the applied sciences and engineering. Applied linear algebra, including eigenvalue problems. Emphasis on use of conceptual methods in engineering, mathematics, and science. Extensive use of MATLAB and/or Python for programming and solution techniques. Prerequisite: MATH 126 or MATH 136. Offered: AWSpS.
GE Requirements Met:
Natural Sciences (NSc)
Credits:
3.0
Status:
Active
Last updated:
December 11, 2024 - 12:08 pm