Practical and Structural Data Improvements with AI.

Catalog description

Semester course; 3 lecture hours (delivered online, face-to-face or hybrid). 3 credits. Prerequisites: INFO 361 and INFO 364 . A real-world guided, AI-aided, examination of data re-engineering practices. Data frequently needs to be transformed from one form structure to another including to and from big data technologies, network, hierarchical, relational and data organization other types. The material exposes students to a range of methods, tools and techniques for understanding existing structures and uses as the basis for designing the next versions. Appropriate tools for data reengineering and a real-world project provide practical experience.