- Autumn 2023
Meeting Time:
M 11:30am - 12:20pm
Location:
PAA A110
SLN:
20664
Instructor:
Catalog Description:
Data analysis using computational tools: curve fitting, statistical and error analysis, handling large data sets. Prerequisite: PHYS 334; and a minimum grade of 2.0 in either AMATH 301 or ASTR 300. Offered: A.
GE Requirements:
Natural Sciences (NSc)
Credits:
3.0
Status:
Active
Section Type:
Lecture
Last updated:
September 5, 2023 - 11:27pm