Basics Of Database Management Systems

Database Management System

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,

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:Understand the fundamentals of database systems, data models, and architecture.Design ER models and convert them into relational schemas.Apply normalization techniques to eliminate data redundancy and improve database efficiency.Explain transaction management, concurrency control, and recovery mechanisms.Apply concepts of database security and authorization to protect sensitive data.Analyze and solve real-world problems by designing practical database solutions.

Overview

Section 1: Introduction

Lecture 1 Introduction to DBMS

Lecture 2 Database Design architecture

Lecture 3 Entity Relationship Model

Lecture 4 Entity Relationship Diagram

Section 2: Relational Model

Lecture 5 Relational Model

Lecture 6 Relational algebra and Relational Calculus

Lecture 7 Understanding the pitfalls in relational design

Lecture 8 Functional dependencies

Lecture 9 Normalizations

Lecture 10 Introduction to SQL

Section 3: Transaction Management and Data Storage

Lecture 11 Transaction control

Lecture 12 Concurrency Control

Lecture 13 Recovery Mechanisms.

Lecture 14 File Organization

Lecture 15 Database Security and Authorization

Lecture 16 Storage Structure

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