Database Normalization and Functional Dependencies for CS Exams

Designing efficient, reliable databases requires a deep understanding of how data elements relate to one another. This text-based course guides you from the foundational concepts of relational theory to advanced normalization techniques, giving you the analytical skills needed for academic exams and professional database engineering. Through clear explanations and step-by-step written examples, you will learn how to identify design flaws and structure data optimally. You will start with the basic terminology of attributes and tables before moving on to the mathematical foundations of functional dependencies. What you will learn: 1. Understand the core principles of relational database design and why normalization is essential. 2. Identify and resolve database anomalies such as insertion, update, and deletion issues. 3. Calculate the closure of a set of functional dependencies and find candidate keys systematically. 4. Master canonical cover and determine the equivalence of different functional dependencies. 5. Analyze database decompositions to ensure they are lossless and dependency-preserving. 6. Practice step-by-step normalization from First Normal Form (1NF) through Boyce-Codd Normal Form (BCNF). This course begins with fundamental definitions of relations and keys, transitions into functional dependency rules, and systematically progresses through advanced decomposition strategies. It is designed for computer science students, exam candidates, and aspiring database administrators with no prior advanced database theory experience. Start reading today to build a rock-solid foundation in database design.