BI354 Data Mining for Decision Making (3 cr.)

Prerequisite(s): BI351 , BI352  
This course provides both the theoretical and practical knowledge of data mining topics. Students have the opportunity to work with a number of exercises to practice and understand the uses of data mining in business organizations. Students complete a data mining project as part of the course requirements.

Upon completion of the course, students are expected to be able to do the following:

1. Evaluate the strengths and limitations of popular data mining techniques.
2. Apply R software to assemble data mining techniques.
3. Compare the utility of different methods.
4. Reliably perform model/feature selection.
5. Apply resampling-based approaches to assess model performance and reliability.
6. Perform analyses of real world data.
7. Apply techniques and skills of creative and analytic thinking.