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Aug 31, 2024
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2020-2021 Undergraduate Catalog [ARCHIVED CATALOG]
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MISY 331 - Machine Learning for Business Credit(s): 3 MACHINE LEARNING FOR BUSINESS Component: Lecture Data is a critical type of business capital, and data mining is essential to unleash the value of data for business analytics. Students will learn state-of-the-art data mining methods and theories. We will also discuss the applications of data mining methods to solve real-world business problems in a wide range of areas such as marketing, finance, and healthcare. Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option PREREQ: MISY 225 . Course Typically Offered: Spring General Education Objectives: GE1A: Read Critically GE1B: Analyze Arguments and Information GE1C: Engage in Constructive Ideation GE2A: Communicate Effectively in Writing GE3B: Work Individually Across a Variety of Cultures GE4: Critically Evaluate Ethical Implications GE5A: Reason Quantitatively GE5B: Reason Computationally
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