Database Management Systems (DBMS)

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CoreDose/DBMS

📚Course MasterclassSyllabus & Roadmap⏱️5 min read

🎯High-Yield For:Semester Exams (All Universities) • GATE CSE • SDE Technical Interviews

📑Table of Contents

• 🎯 Welcome to DBMS CoreDose
• 🗺️ The 10-Module Master Roadmap
• 📚 Complete Module Directory
  • 🟢 Module 1: Basics of DBMS & Architecture (Active)
  • 🟢 Module 2: Entity-Relationship (ER) Model (Active)
  • 🟢 Module 3: Relational Model & Relational Algebra (Active)
  • 🟢 Module 4: Structured Query Language (SQL) (Active)
  • 🟢 Module 5: Functional Dependencies (FDs) (Active)
  • 🟢 Module 6: Database Normalization (Active)
  • 🟢 Module 7: Transaction Management & ACID Properties (Active)
  • 🟢 Module 8: Concurrency Control & Serializability (Active)
  • 🟢 Module 9: Indexing & File Organization (Active)
  • 🟢 Module 10: Advanced Topics & Storage Internals (Active)
• 🚀 Get Started

🎯 Welcome to DBMS CoreDose

Welcome to the Database Management Systems (DBMS) Complete Masterclass on Binary Dose. This curriculum is built directly from authentic, battle-tested computer science notes, designed to give you 100% conceptual clarity without academic fluff.

Whether you are preparing for:

• 🎓 University Semester Exams (RGPV, AKTU, VTU, SPPU, Anna Univ, etc.)
• 🚀 GATE Computer Science (CSE) (High-Frequency Core Subject)
• 💼 SDE Technical Interviews (Product & Service company rounds)

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🗺️ The 10-Module Master Roadmap

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📚 Complete Module Directory

🟢 Module 1: Basics of DBMS & Architecture (Active)

• 1.1 What is Data & DBMS? File Systems vs Database Systems
• 1.2 Three-Schema ANSI/SPARC Architecture & Data Independence
• 1.3 Types of Databases, DBA Roles & Data Dictionary

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🟢 Module 2: Entity-Relationship (ER) Model (Active)

• 2.1 Entities, Attributes & Keys: Foundations of ER Modeling
• 2.2 Relationship Sets, Cardinality & Participation Constraints
• 2.3 Weak Entity Sets & Identifying Relationships
• 2.4 Step-by-Step Rules: Converting ER Diagrams into Relational Tables
• 2.5 Extended ER (EER): Specialization, Generalization, Aggregation & ER Traps

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🟢 Module 3: Relational Model & Relational Algebra (Active)

• 3.1 Relational Data Model & Terminology (Tuples, Degree, Cardinality)
• 3.2 Keys in DBMS: Super Key, Candidate Key, Primary Key & Foreign Key
• 3.3 Integrity Constraints: Domain, Entity, and Referential Integrity
• 3.4 Relational Algebra Operators: Selection ($\sigma$), Projection ($\pi$), Cartesian Product ($\times$), Rename ($\rho$)
• 3.5 Relational Joins: Natural Join, Theta Join, Outer Joins (Left, Right, Full)

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🟢 Module 4: Structured Query Language (SQL) (Active)

• 4.1 SQL Command Categories: DDL, DML, DCL, and TCL
• 4.2 Aggregations, GROUP BY, and HAVING Clauses
• 4.3 Nested Subqueries, Correlated Subqueries & Exists
• 4.4 SQL Joins Master Guide with Visual Output
• 4.5 Window Functions, CTEs, and Views

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🟢 Module 5: Functional Dependencies (FDs) (Active)

• 5.1 Introduction to Functional Dependencies & Trivial vs Non-Trivial FDs
• 5.2 Armstrong's Axioms (Inference Rules)
• 5.3 Attribute Closure Algorithm ($X^+$)
• 5.4 Algorithmic Method to Find All Candidate Keys
• 5.5 Minimal / Canonical Cover of Functional Dependencies
• 5.6 Equivalence of Functional Dependency Sets

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🟢 Module 6: Database Normalization (Active)

• 6.1 Database Anomalies: Insertion, Deletion, and Update Anomalies
• 6.2 First Normal Form (1NF) & Second Normal Form (2NF)
• 6.3 Third Normal Form (3NF) vs Boyce-Codd Normal Form (BCNF)
• 6.4 Lossless Join Decomposition Testing
• 6.5 Dependency Preserving Decomposition
• 6.6 Multi-Valued Dependencies (4NF) & Join Dependencies (5NF)

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🟢 Module 7: Transaction Management & ACID Properties (Active)

• 7.1 What is a Transaction? Transaction State Life Cycle
• 7.2 ACID Properties Deep Dive with Banking Examples
• 7.3 Schedules: Serial vs Non-Serial Schedules
• 7.4 Read-Write Conflicts and Conflict Equivalence

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🟢 Module 8: Concurrency Control & Serializability (Active)

• 8.1 Conflict Serializability & Precedence (Serialization) Graph Testing
• 8.2 View Serializability & Blind Writes
• 8.3 Recoverability: Recoverable, Cascadeless (ACA), and Strict Schedules
• 8.4 Two-Phase Locking (2PL): Basic 2PL, Strict 2PL, and Rigorous 2PL
• 8.5 Deadlock Handling: Wait-Die vs Wound-Wait Protocols
• 8.6 Timestamp-Based Ordering Protocol & Thomas Write Rule

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🟢 Module 9: Indexing & File Organization (Active)

• 9.1 File Organizations: Heap, Sorted, and Hash Files
• 9.2 Indexing Concepts: Ordered Indices (Dense vs Sparse)
• 9.3 Primary Index, Clustered Index, and Secondary Index
• 9.4 B-Trees: Structure, Node Capacity, and Searching
• 9.5 B+ Trees: Why Database Engines Use B+ Trees Over B-Trees

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🟢 Module 10: Advanced Topics & Storage Internals (Active)

• 10.1 Static vs Dynamic Hashing (Extendible & Linear Hashing)
• 10.2 Relational Calculus: Tuple Relational Calculus (TRC) & Domain Relational Calculus (DRC)
• 10.3 Query Optimization & Query Execution Plans

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🚀 Get Started

Ready to master DBMS from the ground up? Start with the first lesson:

👉 Proceed to Module 1.1: What is Data & DBMS?