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Apr 24, 2024
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MATP 4450 - Data Analytics
The world at-large is confronted with increasingly larger and complex sets of structured/unstructured information; from cyber and human sources. Traditional enterprises are moving toward analytics-driven approaches for core business functions. Data and information analytics extends analysis (descriptive models of data) by using data mining and machine learning methods, with optimization and validation, to recommend action or guide and communicate decision-making. Thus, analytics in an entire methodology rather than individual analyses or analysis steps.
Prerequisites/Corequisites: Prerequisite preferences: Data Science ITWS/CSCI/ERTH 4350, Foundations of Data Science CSCI 49XX or permission of instructor. Database experience (pref). Script programming (pref).
When Offered: Spring term annually.
Cross Listed: ITWS 4600 and ITWS 6600. Students may not receive credit for both MATP 4450 and ITWS 4600/6600.
Credit Hours: 3
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