All Courses
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MHON1021 Summer 2017 Big Data [Wyner]
Data has become an ever more powerful source of competitive advantage for modern enterprises. New technologies and business practices have led to an “orders of magnitude” change in the amount of data available for analysis, as well as to techniques, often referred to as analytics or business intelligence, which are now available to derive meaning from that data. The term “big data” refers to the sometimes surprising implications emerging from these changes in both the scale and type of data available to analyze. The Big Data Module is intended to provide managers, leaders, entrepreneurs, and knowledge workers in general with a deeper understanding of how data can be structured, captured, and queried in order to support decision-making, process and product innovation, and strategic insight.
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ISYS7725.01|.02 Fall 2017 Data Analytics 3 [Wyner]
This course provides students with a deeper understanding of data by exploring the methods by which data is modeled, databases are designed, and data is queried from those databases. Topics include entity relationship diagramming, the relational database model, and in depth coverage of SQL.
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LAWS4415.01 Fall 2017 Legal Analytics [Agin]
William Gibson said “[t]he future has already arrived. It’s just not evenly distributed yet.” This course introduces the legal tools that have arrived, but are not yet evenly distributed, and will teach you how to use analytics to improve legal decision making. We will explore behavioral economics, data analysis and visualization, statistical methods, artificial intelligence, and game theory. Through demonstrations, in-class projects, and a semester long course project, we will apply them to solve legal problems and learn to efficiently manage, collect, explore, and analyze various forms of legal data. You do not need prior college coursework in math, statistics, data science, or economics to take this course.