Database Functional Dependency and Normalization for GATE Prep

Relational database design is a cornerstone of computer science, and mastering functional dependencies is essential for scoring high on competitive exams like the GATE. Understanding how data attributes relate to one another prevents redundancy and ensures data integrity. This text-based course guides you from foundational database concepts to advanced normalization techniques, equipping you with the analytical skills needed to solve exam-style problems with confidence. What you'll learn: - Understand the core principles of functional dependencies, keys, and attribute closures. - Determine candidate keys and super keys systematically using closure algorithms. - Apply normalization rules to design databases up to Third Normal Form (3NF) and Boyce-Codd Normal Form (BCNF). - Analyze dependency preservation and lossless join decompositions. - Practice solving typical GATE-style relational database schema problems through step-by-step written explanations. - Explore modern database design tradeoffs, including denormalization patterns in distributed systems. The course begins with essential terminology and fundamental definitions before moving into step-by-step mathematical proofs, dependency analysis, and structured practice problems. You will finish with a robust mental framework for database normalization. This course is designed for computer science students, exam aspirants, and developers looking to build a rock-solid theoretical foundation in relational databases. No advanced database experience is required to begin. Start reading today to master functional dependencies and elevate your database design skills.