PHYS 434 A: Advanced Laboratory: Computational Data Analysis

Autumn 2023
View in MyPlan View in Time Schedule
Meeting:
M 11:30am - 12:20pm / PAA A110
SLN:
20664
Section Type:
Lecture
Instructor:
PHYS 434: LABORATORY ANALYSIS TECHNIQUES FOR LARGE DATA SETS. PREREQUISITES: AMATH 301, ASTRO 300 OR EQUIVALENT PROGRAMMING EXPERIENCE (PYTHON). RECOMMENDS COMPLETION OF 9 300- LEVEL CREDITS
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 Met:
Natural Sciences (NSc)
Credits:
3.0
Status:
Active
Last updated:
July 1, 2025 - 1:26 pm