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Not teaching in Spring 2026 | |||||
ACTS 4307 Liang Hong | |||||
A | |||||
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| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
ACTS 4307 Liang Hong | |||||
A | |||||
Grades: 196
Median GPA: A
Mean GPA: 3.587
0
Ratings given
Statistics for Risk Modeling
ACTS 4307
School of Natural Sciences and Mathematics
The purpose of this class is to provide an understanding of the basics of several important analytic 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 and leads the student to the deeper preparation for the SOA Exam PA - Predictive Analytics. May be repeated for credit (6 semester credit hours maximum). 3 credit hours.
Prerequisites: STAT 3355 and STAT 4352.
Offering Frequency: Each year
Grades: 84
Median GPA: A
Mean GPA: 3.567
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Grades: 196
Median GPA: A
Mean GPA: 3.587
0
Ratings given
Statistics for Risk Modeling
ACTS 4307
School of Natural Sciences and Mathematics
The purpose of this class is to provide an understanding of the basics of several important analytic 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 and leads the student to the deeper preparation for the SOA Exam PA - Predictive Analytics. May be repeated for credit (6 semester credit hours maximum). 3 credit hours.
Prerequisites: STAT 3355 and STAT 4352.
Offering Frequency: Each year
Grades: 84
Median GPA: A
Mean GPA: 3.567
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