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Dec 26, 2024
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DATA 418 - Big Data Analytics(3cr) This course introduces students to concepts, methods and tools used in the analysis and management of massive data sets. Topics will include the map-reduce programming paradigm, cluster analysis, algorithms and libraries for working with large graphs, disk-based and memory-based distributed computing, stream processing, large-scale machine learning, and analysis of distributed algorithms. The course will explore the historical context, current relevance, and future growth of data analytics. Prerequisites: One from CIS 301 , CIS 324 , or CIS 388 ; AND one from MATH 318 , MATH 329 , or MATH 354 .
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