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5.0
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5.0
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1,000
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99%
Would take again
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| Name | Grades | Rating | |||
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CS 6350 Anurag Nagar | |||||
A | |||||
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CS 6350 Anurag Nagar | |||||
A | |||||
Grades: 5,196
Median GPA: A
Mean GPA: 3.729
4.4
Professor rating
3
Difficulty
67
Ratings given
89%
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: 5,196
Median GPA: A
Mean GPA: 3.729
4.4
Professor rating
3
Difficulty
67
Ratings given
89%
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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