BUSINESS INTELLIGENCE (4 Credits)

Learning Outcomes:

On successful completion of this course, student will be able to: explain the motivations, concepts, methods, and methodologies for decision support systems, business intelligence, and analytics; recognize the new technology trends as the enablers of the modern-day business analytics and intelligence for decision support; analyze how organizations employed business analytics and intelligence to make decisions or gain a competitive edge; identify Decision Support Opportunities that are supported by business analytics and intelligence.

Topics:

1. Modern Decision Support
2. Decision Support Concept
3. Recognizing Types of Decision Support
4. Using Big Data for Decision Support
5. Business Intelligence and Data-Driven DSS
6. Predictive Analytics and Model-Driven Decision Support
7. Decision Support Benefits and Trade-Offs
8. Identifying Decision Support Opportunities
9. Nature of Data, Statistical Modeling, and Visualization
10. Data Mining Process, Methods, and Algorithms
11. Text, Web, and Social Media Analytics
12. Optimization and Simulation
13. Future Trends, Privacy and Managerial Considerations in Analytics
14. Decision Support Concept
15. Using Big Data for Decision Support
16. Predictive Analytics and Model-Driven Decision Support
17. Nature of Data, Statistical Modeling, and Visualization
18. Data Mining Process, Methods, and Algorithms
19. Optimization and Simulation