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Data Analysis for Geoscientists
GEOS 5306
School of Natural Sciences and Mathematics
Advanced statistical techniques with important applications in Earth science. Topics include robust statistics, exploratory data analysis, surface modeling and contouring, Kriging, analysis of point patterns and directional data. Factor, cluster and time series analysis may also be considered. Emphasis will be on application and theoretical understanding. 3 credit hours.
Offering Frequency: Based on student interest and instructor availability
Grades: 6
Median GPA: A
Mean GPA: 4.000
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Data Analysis for Geoscientists
GEOS 5306
School of Natural Sciences and Mathematics
Advanced statistical techniques with important applications in Earth science. Topics include robust statistics, exploratory data analysis, surface modeling and contouring, Kriging, analysis of point patterns and directional data. Factor, cluster and time series analysis may also be considered. Emphasis will be on application and theoretical understanding. 3 credit hours.
Offering Frequency: Based on student interest and instructor availability
Grades: 6
Median GPA: A
Mean GPA: 4.000
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