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Aug 31, 2024
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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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