Course Description
The objectives of this course are to provide comprehensive and in-depth knowledge of Business Intelligence (BI) principles and techniques by introducing the relationship between managerial and technological perspectives. This course focuses on business intelligence – an information technology approach to data collection and data analysis to support a wide variety of management tasks, from performance evaluation to trend spotting and policy making. Students learn analytical components and technologies used to create dashboards and scorecards, data/text/Web mining methods for trend and sentiment analysis, and artificial intelligence techniques used to develop intelligent systems for decision support. Students will actively participate in this course through class discussions, practical assignments and visual tool utilization.
Required text
Business Intelligence: A Managerial Perspective on Analytics (3rd Edition) 3rd Edition by Ramesh Sharda , Dursun Delen, Efraim Turban. ISBN-13: 978-0133051056
Course content
- An Overview of Business Intelligence, Analytics, and Decision Support
- Data Warehousing
- Business Reporting,
- Visual Analytics, and Business
- Performance Management
- Data Mining
- Text and Web Analytics
- Big Data and Analytics
- Business Analytics: Emerging Trends and Future Impacts
Learning outcomes
- Articulate modern concepts, theories, and research in the field of Business Intelligence (BI).
- Apply BI enabling technologies in organizational settings.
- Articulate modern BI practices, including knowledge integration, sourcing and managing BI solutions.
- Discuss the social and ethical issues related to the use of Business Intelligence technologies in organizations.
- Articulate the crucial role that Business Intelligence plays in careers as well as in business and society in the 21st century.
Course ID: MIS 413
| Credit hours | Theory | Practical | Laboratory | Lecture | Studio | Contact hours | Pre-requisite | 3 | 3 | 3 | MIS 402 |
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