Jul 17, 2024  
2020-2021 Undergraduate Catalog 
2020-2021 Undergraduate Catalog [ARCHIVED CATALOG]

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IT 483 - Applied Predictive Analytics for IT Managers

Students will utilize the skills gained in the previous data and analytics courses for practical application to real-world IT problems. Course will be offered every year. Course will not have an established scheduling pattern.

Pre or co-requisites: IT 425 and IT 469.

Credits: (4)

General Education Category: CE - Culminating Experience

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

  • Explain the processes involved in mining, analyzing, and reporting on varied data sets in an IT Management context.
  • Consider how predictive models can be used with large datasets to drive meaning from the data.
  • Explain how predictive analytics can be utilized to support strategy in an IT Management context.
  • Apply critical thinking strategies to predictive analytics in an IT Management context.
  • Provide a cursory explanation of artificial intelligence (AI) and its likely impact on innovation and IT.

Learner Outcomes Approval Date:

Anticipated Course Offering Terms and Locations:

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