Functional Dependency and Normalization for GATE CS and IT

Mastering functional dependencies is one of the most reliable ways to secure top marks in the database section of the GATE Computer Science and Information Technology exam. Understanding how data attributes relate to one another is the key to designing efficient, anomaly-free relational databases. This text-based course guides you from the absolute basics of relational database theory to solving complex exam-style problems. You will develop a strong intuitive and mathematical understanding of dependencies, keys, and normalization techniques, enabling you to tackle any database schema design challenge with confidence. What you will learn: Understand the foundational concepts of functional dependencies and relational database schemas; Compute the closure of attribute sets using Armstrong's axioms and systematic algorithms; Identify candidate keys and super keys for any given relation; Determine dependency preservation and lossless join properties during database decomposition; Apply normalization rules to design tables up to Boyce-Codd Normal Form (BCNF); Practice solving typical exam-style questions through detailed, step-by-step written analyses. The course begins with core definitions and structural rules of database design before progressing to step-by-step mathematical proofs, attribute closures, and normalization algorithms. You will read through clear explanations and structured logical breakdowns designed to mimic exam patterns. This course is designed for computer science students and IT aspirants preparing for competitive examinations, requiring only a basic familiarity with database tables. Start reading today to master functional dependencies and boost your exam preparation.