AI Augmented Database Management

2 Credits

This course introduces the foundations of data management by integrating traditional database principles with contemporary artificial intelligence (AI), and analytics techniques. Students explore database management system (DBMS) architecture, the database environment, and data warehousing concepts within modern organizational contexts. The course emphasizes AI-enhanced data modeling using entity-relationship (ER) and relational models, principles of logical database design, normalization, and the application of intelligent analytics. Students examine business rules and their role in ensuring data integrity, consistency, and governance. Practical components include structured query language (SQL), AI-assisted query generation and optimization to support data-driven decision-making. Additional topics may include distributed databases, web-based database services, cloud-based data environments, graph databases, and introductory data mining concepts.