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PHYS 434 A: Advanced Laboratory: Computational Data Analysis

  • Autumn 2023
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Meeting Time: 
M 11:30am - 12:20pm
Location: 
PAA A110
SLN: 
20664
Instructor:
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Shih-Chieh Hsu
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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
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