Module 1 – Introduction to Databases and ER Modeling

This module introduces the basics of database systems and their importance in storing and managing data efficiently. Students learn the advantages of DBMS over traditional file systems and the history of database applications. Concepts like data models, schemas, database architecture, and data independence are explained clearly. The module also covers Entity-Relationship (ER) modeling, including entities, relationships, weak entities, specialization, and generalization. ER diagrams are used to represent real-world data in a structured format. Overall, this module builds a strong foundation in database design and data organization.

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Module 2 – Relational Model and Relational Algebra

This module focuses on the relational database model and its operations. Students learn about relational schemas, constraints, update operations, and transactions in databases. Relational algebra operations such as selection, projection, join, grouping, and aggregation are introduced for query processing. The module also explains how ER models are converted into relational database designs. Practical query examples help students understand data retrieval techniques. Overall, this module develops skills required for designing and managing relational databases effectively.

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Module 3 – Normalization and SQL Basics

This module introduces normalization techniques used to reduce data redundancy and improve database efficiency. Students learn functional dependencies, multivalued dependencies, and normal forms such as 2NF, 3NF, BCNF, and 4NF. SQL concepts like data definition, constraints, insertion, deletion, updating, and retrieval queries are explained in detail. Different SQL statements are used to manage and manipulate database records. The module helps students understand how to design well-structured and efficient databases. Overall, it provides essential knowledge of SQL and database optimization techniques.

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Module 4 – Advanced SQL and Transaction Processing

This module covers advanced SQL concepts and transaction management in database systems. Students learn complex SQL queries, assertions, triggers, and views for better data handling and security. Transaction processing concepts such as recoverability, serializability, and transaction properties are discussed clearly. The module explains how databases maintain consistency and reliability during multiple operations. SQL transaction support and schedule management techniques are also introduced. Overall, this module improves understanding of secure and efficient database operations.

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Module 5 – Concurrency Control and NoSQL Databases

This module explains concurrency control techniques used to manage simultaneous database access. Students learn locking mechanisms, timestamp ordering, validation methods, and multiversion concurrency control techniques. Concepts related to data granularity and multiple locking are also discussed. The module further introduces NoSQL databases and Big Data storage systems. Technologies like MongoDB, key-value stores, column-based databases, and graph databases such as Neo4j are explained. Overall, this module helps students understand modern database technologies and large-scale data management systems.

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