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Summary of Changes Made in This Calendar - Large Scale Data Analytics

Software Engineering 0151 Large Scale Data Analytics
Discusses the sources and characteristics of large scale data, i.e., “big data”, large scale data analysis, benefits of large scale data analysis to various industry domains, programming paradigms and middleware technologies for scalable data analysis, algorithms that enable large scale data processing, application of large scale data algorithms in selected application domains. Big data analytics methodologies/platforms and frameworks such as Hadoop, MapReduce, Spark, H2O, will be discussed. The students will be introduced to various machine learning algorithms with examples using the Spark MLlib and H2O frameworks, and visualizations. The students will be introduced to data storage, batch and real-time analysis, and interactive querying frameworks.
Credit Weight: 0.5
Prerequisite(s):

Mathematics 4030 and Software Engineering 3675

Offering: 3-1.5; or 3-1.5
Course Classifications: Type C: Engineering, Mathematical and Natural Sciences