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BASICS OF DATABASE MANAGEMENT SYSTEMS

BASICS OF DATABASE MANAGEMENT SYSTEMS

Database Management System
Created byManjula R
Last updated 6/2025
English

What you'll learn

  • Acquire knowledge on DBMS architecture
  • Acquire knowledge on Relational languages and design a database
  • Removal of anomalies using Normalization concepts
  • Visualizing storage structure, handling concurrency, Failure and recovery principles,

Course content

3 sections16 lectures3h 17m total length
  • Introduction to DBMS7:16

    A Database Management System (DBMS) is software that enables users to define, create, maintain, and control access to databases. It provides a systematic and efficient way of storing, retrieving, and managing data. DBMS supports data abstraction, data independence, and ensures data integrity and security.

  • Database Design architecture7:01

    Database design architecture refers to the structured approach used to plan, organize, and manage the data and its flow in a database system.

  • Entity Relationship Model12:04

    The Entity-Relationship (ER) Model is a high-level data model used to design the logical structure of a database. It provides a visual representation of data and its relationships, making it easier to understand and design databases.

  • Entity Relationship Diagram7:40

    An ER Diagram is a graphical representation of the ER model.

  • QUIZ1

Requirements

  • To effectively learn with the course, learners should have a foundational understanding of programming (e.g., Python, Java), key algorithms and data structures, and basic database concepts like tables and records. They should be familiar with algebra, set theory, and SQL for database operations. Additionally, knowledge of file management, concurrency, and client-server networking is important, as well as experience with DBMS tools (e.g., MySQL, PostgreSQL).

Description

This course introduces the fundamental concepts and principles of Database Management Systems (DBMS). It covers data models, database design, normalization, transaction. Students will learn how to model real-world problems using the Entity-Relationship (ER) model, translate them into relational schemas. Topics include data storage, indexing, concurrency control, recovery mechanism, and data security. Practical sessions involve designing, implementing, and querying databases using Structured Query Language (SQL). By the end of the course, students will be equipped to design efficient, reliable, and scalable database systems.

Course Objectives:

  • Understand the basic concepts and architecture of DBMS.

  • Design ER models and translate them into relational schemas.

  • Apply normalization to improve database design.

  • Understand transactions, concurrency, and recovery in database systems.

  • Explore database security fundamentals.

Prerequisites:  Basic knowledge of data structures, algorithms, and programming in C, java.

Course Outcomes :

After successful completion of the DBMS course, students will be able to:

  1. Understand the fundamentals of database systems, data models, and architecture.

  2. Design ER models and convert them into relational schemas.

  3. Apply normalization techniques to eliminate data redundancy and improve database efficiency.

  4. Explain transaction management, concurrency control, and recovery mechanisms.

  5. Apply concepts of database security and authorization to protect sensitive data.

  6. Analyze and solve real-world problems by designing practical database solutions.

Who this course is for:

  • Student, Teachers