This module explores the theory and practical application of functional dependencies in relational database design, providing students with the knowledge and skills to identify and enforce data relationships, ensuring data integrity and optimization in database systems. This module is organized into three lessons: 1) Functional dependency theory, 2) Finding candidate keys and attribute closure, and 3) Deriving canonical (minimal) covers of functional dependencies. The learning objectives of this module are presented below. Please refer to the enrichment activities at the end of each lesson.

The database normalization module demonstrates the principles and techniques of organizing data into well-structured tables through normalization, ensuring data integrity and reducing redundancy for efficient and scalable database systems. This module is organized in three lessons: 1) Normal Forms (NFs), 2) more Normal forms, and 3) DB Design example (applying ER modeling + Normalization). The learning objectives of this module include are presented below. Refer to the enrichment activities at the end of each lesson.

This module contains the summative course assessment that has been designed to evaluate your understanding of the course material and assess your ability to apply the knowledge you have acquired throughout the course. Be sure to review the course material thoroughly before taking the assessment. A learning guide is also provided to help you prepare for the assessment. Please review prior to launching the assessment. You will only have one attempt to take it, so please plan accordingly. Best wishes to you for success!