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Not teaching in Spring 2026 | |||||
RMIS 4338 Kannoo Ravindran | |||||
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| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
RMIS 4338 Kannoo Ravindran | |||||
Kannoo Ravindran
[email protected]Grades: 200
Median GPA: A-
Mean GPA: 3.576
4
Professor rating
3.3
Difficulty
6
Ratings given
67%
Would take again
Foundations of Risk Analytics and Applications
RMIS 4338 (Same as CYBR 4338 and FIN 4338)
Naveen Jindal School of Management
Enhanced data-driven decision making is an essential component of a successful organization's risk management and insurance program. This course provides a fundamental understanding of analytical techniques for big data. All business students will benefit from exploring the Internet of Things, data mining techniques, social network analysis, predictive modeling concepts, and the development of a data analytics strategy to help achieve superior business results. 3 credit hours.
Prerequisite or Corequisite: FIN 3320 or FIN 3370 or RMIS 3370.
Offering Frequency: Each year
Grades: 42
Median GPA: B+
Mean GPA: 3.365
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Kannoo Ravindran
[email protected]Grades: 200
Median GPA: A-
Mean GPA: 3.576
4
Professor rating
3.3
Difficulty
6
Ratings given
67%
Would take again
Foundations of Risk Analytics and Applications
RMIS 4338 (Same as CYBR 4338 and FIN 4338)
Naveen Jindal School of Management
Enhanced data-driven decision making is an essential component of a successful organization's risk management and insurance program. This course provides a fundamental understanding of analytical techniques for big data. All business students will benefit from exploring the Internet of Things, data mining techniques, social network analysis, predictive modeling concepts, and the development of a data analytics strategy to help achieve superior business results. 3 credit hours.
Prerequisite or Corequisite: FIN 3320 or FIN 3370 or RMIS 3370.
Offering Frequency: Each year
Grades: 42
Median GPA: B+
Mean GPA: 3.365
Click a checkbox to add something to compare.