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CMPS 310 - BIG DATA PROGRAMMING |
An introduction to Big Data programming The course will include parallel programming models for large-scale data processing on large number of computing systems, file systems to store large data sets across a network of machines, tools to create and manage clusters of large number of
processing units, methods to maintain data consistency during large-scale I/O operation on disk, programming framework to implement machine learning algorithms with large data sets.
0.000 TO 4.000 Credit hours 0.000 TO 4.000 Lecture hours Levels: Undergraduate Schedule Types: Hybrid, Lecture, Lecture/Online, Online Course Computer Science Department Restrictions: Must be enrolled in one of the following Levels: Undergraduate Prerequisites: FOR CMPS 310 General Requirements: ( Course or Test: CMPS 231 Minimum Grade of D May not be taken concurrently. ) or ( Course or Test: CMPS 240 Minimum Grade of D May not be taken concurrently. ) |
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