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Not teaching in Spring 2026 | |||||
ACTS 6307 Liang Hong | |||||
A | |||||
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| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
ACTS 6307 Liang Hong | |||||
A | |||||
Grades: 196
Median GPA: A
Mean GPA: 3.587
0
Ratings given
Advanced Statistics for Risk Modeling
ACTS 6307
School of Natural Sciences and Mathematics
This 3 semester credit hour course provides a solid introduction to several major statistical risk methods such as linear models, time series models, principal components and cluster analysis, and decision trees. This class covers parts of the SOA Exam SRM which serves as a formal SOA prerequisite for the SOA Exam PA - Predictive Analytics. 3 credit hours.
Prerequisite: STAT 5352.
Offering Frequency: Each year
Grades: 9
Median GPA: A
Mean GPA: 3.890
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Grades: 196
Median GPA: A
Mean GPA: 3.587
0
Ratings given
Advanced Statistics for Risk Modeling
ACTS 6307
School of Natural Sciences and Mathematics
This 3 semester credit hour course provides a solid introduction to several major statistical risk methods such as linear models, time series models, principal components and cluster analysis, and decision trees. This class covers parts of the SOA Exam SRM which serves as a formal SOA prerequisite for the SOA Exam PA - Predictive Analytics. 3 credit hours.
Prerequisite: STAT 5352.
Offering Frequency: Each year
Grades: 9
Median GPA: A
Mean GPA: 3.890
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