Autumn 2023
Meeting:
MWF 12:30pm - 1:20pm / JHN 075
SLN:
10198
Section Type:
Lecture
Instructor:
ADD CODE POLICY:
AMATH.WASHINGTON.EDU/ADVISING
TAUGHT IN PYTHON
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:
May 7, 2024 - 5:24 am