DATA INTELLIGENCE AND INNOVATION (4 Credits)

Learning Outcomes:

On successful completion of this Course, students will be able to: Demonstrate the ability to apply business analytics in the global, real-world business situations and make intelligent leadership decisions; Use technology, simulation, and optimization to analyze data and develop applicable, real-world solutions to support business analytics applications; Critically evaluate use of data intelligence for supporting decision making in an organisation; Provide fundamental knowledge of the phenomenon of innovation and innovation processes in economies from the perspective of firms and industries.

Topics:

1. An Overview of Business Intelligence, Analytics, and Data Science;
2. Descriptive Analytics I: Nature of Data, Statistical Modeling, and Visualization;
3. Descriptive Analytics II: Business Intelligence and Data Warehousing;
4. Predictive Analytics I: Data Mining Process, Methods, and Algorithms;
5. Predictive Analytics II: Text, Web, and Social Media Analytics;
6. Prescriptive Analytics: Optimization and Simulation;
7. Big Data Concepts and Tools;
8. Future Trends, Privacy and Managerial Considerations in Analytics;
9. Know Your Customer (KYC);
10. Business Process Innovation;
11. Social Media Analytics (Workshop);
12. Qualitative Data Analysis (Workshop);
13. Enrichment Activity: GUEST LECTURE;
14. Analytical Hierarchical Processing – AHP (Workshop);
15. Digital Thinking (Workshop);
16. Enrichment Activity: GUEST LECTURE.