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Dec 22, 2024
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ITCS 8190 - Cloud Computing for Data Analysis
Introduction to the basic principles of cloud computing for dataintensive applications. Focuses on parallel computing using Google’s MapReduce paradigm on Linux clusters, and algorithms for large-scale data analysis applications in web search, information retrieval, computational advertising, and business and scientific data analysis. Students read and present research papers on these topics, and implement programming projects using Hadoop, an open source implementation of Google’s MapReduce technology, and related NoSQL technologies for analyzing unstructured data.
Credit Hours: (3)
Restriction(s): Familiarity with Java, Unix, Data Structures and Algorithms, Linear Algebra, and Probability and Statistics; good programming skills and a solid mathematical background.
Prerequisite(s): ITCS 8114 or permission of instructor.
Cross-listed as: DSBA 6190 and ITCS 6190
Most Recently Offered (Day): Fall 2017, Spring 2017, Fall 2016
Most Recently Offered (Evening): Spring 2018, Fall 2016
Schedule of Classes
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