Outlines the module's core topics—data modeling concepts, entities and attributes, relationships and cardinality, and the Entity-Relationship (ER) model—serving as a syllabus-style roadmap that helps learners and instructors understand what will be covered and in what order.
Module Artifacts
A foundational reading that explains what data modeling is, why it is essential before database construction begins, and how it fits into the broader software engineering process, used by learners to build conceptual grounding before diving into specific modeling techniques.
A reading that defines entities as real-world objects a system needs to track and explains how attributes describe them, helping learners understand the first step in identifying what information a database should store.
A reading that covers how entities relate to one another in a data model, including relationship types and why capturing those connections is critical for a functional database, used by learners to understand the associative structure between data objects.
A reading that introduces Peter Chen's Entity-Relationship model as a conceptual framework for database design, explaining its core components and how it allows designers to represent data requirements independently of physical implementation details.
A reading that teaches learners the practical steps and conventions for constructing ER diagrams, including how to represent entities, attributes, and relationships visually so the diagram can later be translated into a database schema.
A reading that walks learners through the process of analyzing a real-world business scenario and systematically applying ER modeling techniques to produce a structured database design from a problem description.
A reading that walks learners through the process of analyzing a real-world business scenario and systematically applying ER modeling techniques to produce a structured database design from a problem description.