Detailed Course Information |
Spring 2024
Nov 21, 2024 |
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| CS 63016 - BIG DATA ANALYTICS |
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(Slashed with CS 73016) Introduces computing platforms with focus on how to use them in processing, managing and analyzing massive datasets. Utilizes several key data processing tasks, including simple statistics, data aggregation, join processing, frequent pattern mining, data clustering, information retrieval, pagerank and massive graph analytics as the case study for large scale data processing. Prerequisite: Graduate standing.
3.000 Credit hours 3.000 Lecture hours Levels: Graduate Schedule Types: Lecture Computer Science Department Restrictions: Must be enrolled in one of the following Classifications: Graduate |
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