
Explore basic database terminologies, including table, row, column, and keys (primary, candidate, foreign, composite). Understand schema, data dictionary, relational databases, sql queries, normalization, and acid properties for reliable transactions.
Explore SQL aggregate functions like count, sum, average, maximum, and minimum with group by and having, then use where and order by, and apply predefined numeric and string functions.
Explore subqueries, including nested and correlated forms, that run inner queries to supply values for outer statements. Learn to use subqueries with select, insert, update, delete, and exists, any, all.
Normalization reduces redundancy and anomalies by organizing data and tables, leading to a well-structured database with relational integrity, and avoids insertion, deletion, and updation anomalies.
Understand third normal form (3nf), extending 1nf and 2nf with no transitive dependencies. See how decomposition reduces data duplication and preserves integrity, using primary, candidate, and super keys.
This Database Management Systems (DBMS) course offers a thorough introduction to the principles, architecture, and practical aspects of database systems. It focuses on various data models, with special emphasis on the relational model and the use of SQL for querying and managing data. Key areas of study include normalization, database design, transactions, concurrency control, and data recovery. Students will engage in hands-on projects using contemporary DBMS tools. The course also delves into indexing methods, storage management, and database security. The course emphasizes the use of Structured Query Language (SQL) for creating, querying, and managing databases. Core topics include database normalization, indexing, storage mechanisms, and query optimization to ensure data integrity, efficiency, and performance. Students will also explore advanced concepts such as transaction management, concurrency control, and database recovery techniques, which are essential for maintaining consistency and reliability in multi-user environments.
Practical sessions and hands-on projects using popular DBMS software will help reinforce theoretical concepts and develop real-world skills. The course also touches on current trends in database systems, including NoSQL and distributed databases, providing a broader understanding of modern data management challenges.
By the end of the course, students will be equipped to design, implement, and maintain efficient and secure database systems, preparing them for roles in software development, data analysis, and information systems management. Upon completion, learners will be equipped to efficiently design, implement, and maintain reliable, scalable, and secure database solutions.