Dec 02, 2021  
2021-22 Catalog 
    
2021-22 Catalog
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BUSIT 115 - Data Mining I


5 CR

Introduces the computer-assisted process of evaluating enormous sets of data to find previously undiscovered patterns, draw conclusions and then make decisions based on these patterns. Concepts are introduced and hands-on exercises used to apply the concepts using current software tools.

Prerequisite(s): BUSIT 105  with a C or better.

Course Outcomes
  • Describe the role of data mining in an organization.
  • Describe the nature of both supervised and unsupervised learning.
  • Use Data Mining software to develop and apply data mining models.
  • Create, evaluate and apply Decision Tree models, then describe scenarios in which their use would be appropriate.
  • Create, evaluate and apply Unsupervised Clustering models, then describe scenarios in which their use would be appropriate.
  • Create, evaluate and apply Market Basket models, then describe scenarios in which their use would be appropriate.
  • Create, evaluate and apply basic time series models, then describe scenarios in which their use would be appropriate.
  • Describe ethical issues surrounding the use of data mining.

 


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