Oct 19, 2019  
2018-2019 Undergraduate Catalog 
    
2018-2019 Undergraduate Catalog [ARCHIVED CATALOG]

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IT 363 - Data Mining for IT Managers


Description:
Students will learn to extract data, apply learning methods, and prepare data for further analysis. Course will be offered every year. Course will not have an established scheduling pattern.

Prerequisites:
Prerequisite: IT 359.

Credits: (4)

Learner Outcomes:
Upon successful completion of this course, the student will be able to:

  • Explain the procedures involved in extracting useful data from multiple sources in an IT Management context.
  • Differentiate between intelligence and analytics and describe the role of each in data-driven decision making.
  • Explain various supervised learning methods that can be used to derive meaning from trained data sets in an IT Management context.
  • Explain various unsupervised learning methods that can be used to derive meaning from large sets in an IT Management context.
  • Identify the best tools to apply to data sets to prepare them for analysis in an IT Management context.
Learner Outcomes Approval Date:
2/1/18



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