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5.0
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5.0
Difficulty
1,000
Ratings given
99%
Would take again
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Search Results
| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
CS 6350 Latifur Khan | |||||
A- | |||||
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| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
CS 6350 Latifur Khan | |||||
A- | |||||
Grades: 1,327
Median GPA: A-
Mean GPA: 3.619
3.4
Professor rating
2.8
Difficulty
25
Ratings given
77%
Would take again
Big Data Management and Analytics
CS 6350
Erik Jonsson School of Engineering and Computer Science
This course focuses on scalable data management and mining algorithms for analyzing very large amounts of data (i.e., Big Data). Included topics are: Mapreduce, NoSQL systems (e.g., key-value stores, column-oriented data stores, stream processing systems), association rule mining, large scale supervised and unsupervised learning, state of the art research in data streams, and applications including recommendation systems, web and big data security. 3 credit hours.
Prerequisites: CS 6360 and Java programming.
Offering Frequency: Each semester
Grades: 2,621
Median GPA: A
Mean GPA: 3.747
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Grades: 1,327
Median GPA: A-
Mean GPA: 3.619
3.4
Professor rating
2.8
Difficulty
25
Ratings given
77%
Would take again
Big Data Management and Analytics
CS 6350
Erik Jonsson School of Engineering and Computer Science
This course focuses on scalable data management and mining algorithms for analyzing very large amounts of data (i.e., Big Data). Included topics are: Mapreduce, NoSQL systems (e.g., key-value stores, column-oriented data stores, stream processing systems), association rule mining, large scale supervised and unsupervised learning, state of the art research in data streams, and applications including recommendation systems, web and big data security. 3 credit hours.
Prerequisites: CS 6360 and Java programming.
Offering Frequency: Each semester
Grades: 2,621
Median GPA: A
Mean GPA: 3.747
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