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| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
HMGT 6334 Mehmet Ayvaci | |||||
A- | |||||
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| Name | Grades | Rating | |||
|---|---|---|---|---|---|
Not teaching in Spring 2026 | |||||
HMGT 6334 Mehmet Ayvaci | |||||
A- | |||||
Grades: 743
Median GPA: A-
Mean GPA: 3.551
2
Professor rating
4
Difficulty
12
Ratings given
27%
Would take again
Healthcare Analytics
HMGT 6334
Naveen Jindal School of Management
The healthcare industry is yet to find ways to make the best use of existing data to improve care, reduce costs, and provide more accessible care. This course introduces the use of business intelligence and decision sciences in the healthcare industry. Students will develop a conceptual understanding of data mining techniques and decision analysis and hands-on experience with several analytics software which may include coding in R, Rattle, and WEKA (as needed and depending on availability). 3 credit hours.
Prerequisite or Corequisite: OPRE 6301 or SYSM 6303 or BUAN 6359 or OPRE 6359.
Offering Frequency: Fall
Grades: 139
Median GPA: A-
Mean GPA: 3.589
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Grades: 743
Median GPA: A-
Mean GPA: 3.551
2
Professor rating
4
Difficulty
12
Ratings given
27%
Would take again
Healthcare Analytics
HMGT 6334
Naveen Jindal School of Management
The healthcare industry is yet to find ways to make the best use of existing data to improve care, reduce costs, and provide more accessible care. This course introduces the use of business intelligence and decision sciences in the healthcare industry. Students will develop a conceptual understanding of data mining techniques and decision analysis and hands-on experience with several analytics software which may include coding in R, Rattle, and WEKA (as needed and depending on availability). 3 credit hours.
Prerequisite or Corequisite: OPRE 6301 or SYSM 6303 or BUAN 6359 or OPRE 6359.
Offering Frequency: Fall
Grades: 139
Median GPA: A-
Mean GPA: 3.589
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