Module 1: Introduction to Database Management Systems (DBMS)

• Overview of DBMS
  • What is a DBMS?
  • Importance and applications of DBMS in real-world scenarios
  • Types of DBMS: Hierarchical, Network, Relational, and Object-oriented
• DBMS Architecture
  • Levels of DBMS architecture: Physical, Logical, and View level
  • Components of DBMS (DBMS Engine, Database Schema, Query Processor, etc.)
• Relational Database Model
  • Introduction to relational databases
  • Tables, rows, columns, and keys
  • Relationships between tables (one-to-one, one-to-many, many-to-many)

Module 2: Introduction to Microsoft Access

• Introduction to Microsoft Access
  • Overview of Microsoft Access as a relational DBMS
  • Database objects in Access: Tables, Queries, Forms, Reports
• Creating a Database in Access
  • Creating a new database
  • Understanding the Access user interface
  • Using templates to create databases
• Designing Tables in Access
  • Defining fields (data types, sizes, and attributes)
  • Setting primary keys and relationships
  • Field validation rules and data integrity

Module 3: Structured Query Language (SQL) Basics

• Introduction to SQL
  • What is SQL? The role of SQL in DBMS
  • SQL syntax and structure
  • Introduction to SQL commands: Data Definition Language (DDL), Data Manipulation Language (DML), Data Control Language (DCL)
• SQL Data Types
  • Common SQL data types (INT, VARCHAR, DATE, etc.)
  • Understanding NULL values and constraints

Module 4: SQL Queries for Data Retrieval

• SELECT Statement
  • Syntax of the SELECT statement
  • Retrieving data from a single table
  • Filtering data with WHERE clause
  • Sorting data with ORDER BY
  • Using DISTINCT to avoid duplicates
• SQL Operators
  • Using logical operators (AND, OR, NOT)
  • Comparison operators (=, <>, <, >, <=, >=)
  • Working with IN, BETWEEN, LIKE, and IS NULL
• Aggregate Functions
  • Using COUNT, SUM, AVG, MIN, MAX
  • GROUP BY and HAVING clauses
  • Working with aggregate functions for data analysis

Module 5: Database Relationships in Access

• One-to-Many Relationships
  • Creating and managing one-to-many relationships
  • Setting up referential integrity in Access
• Many-to-Many Relationships
  • Implementing many-to-many relationships using junction tables
• Relationships and Joins
  • Creating relationships between multiple tables
  • Inner joins, outer joins (LEFT JOIN, RIGHT JOIN), and self-joins
  • Using SQL queries to join tables
  • Referential integrity and cascading updates/deletes

Module 6: SQL for Data Manipulation

• Inserting Data into Tables
  • Using INSERT INTO statement
  • Inserting multiple rows of data at once
• Updating Data in Tables
  • Using UPDATE statement
  • Updating specific rows with WHERE clause
• Deleting Data from Tables
  • Using DELETE statement
  • Deleting data with conditions
  • Truncating tables and understanding differences between DELETE and TRUNCATE
• SQL Transactions
  • Understanding ACID properties (Atomicity, Consistency, Isolation, Durability)
  • Using COMMIT and ROLLBACK statements
  • Using SAVEPOINT to create checkpoints

Module 7: Advanced SQL Queries

• Subqueries (Nested Queries)
  • Writing subqueries for complex data retrieval
  • Using subqueries in SELECT, INSERT, UPDATE, DELETE statements
• SQL Joins (Advanced)
  • Cross Join, Self Join
  • Using multiple joins in one query
  • Joins with aggregate functions
• SQL Views
  • What is a View? Benefits of using views
  • Creating and using views in SQL
  • Updating data through views
• SQL Indexes
  • What are indexes? Benefits of using indexes
  • Creating and managing indexes

Module 8: Forms and Reports in Access

• Creating Forms in Access
  • Introduction to forms in Access for data entry
  • Designing custom forms for data input
  • Using forms for data filtering and searching
• Reports in Access
  • Generating reports from tables and queries
  • Customizing reports (sorting, grouping, and formatting)
  • Using report design tools to create professional-looking reports

Module 9: SQL Data Definition and Schema Management

• Creating Tables with SQL
  • Using CREATE TABLE statement
  • Defining columns, primary keys, and constraints
• Modifying Table Structure
  • Altering tables (ADDING, MODIFYING, and DROPPING columns)
  • Renaming tables and columns
  • Adding and removing constraints (primary, foreign, unique, etc.)
• Dropping Tables
  • Using DROP TABLE statement to delete a table

Module 10: Access and SQL Security and Permissions

• User Access Control in Access
  • Setting user permissions and access levels in Access
  • Managing group permissions
• SQL Security Concepts
  • Understanding SQL injection and how to prevent it
  • Using SQL GRANT and REVOKE statements to manage user permissions
  • Best practices for securing SQL databases

Module 11: SQL and Access Optimization

• Query Optimization in SQL
  • Using EXPLAIN and ANALYZE to optimize queries
  • Indexing strategies for faster query performance
  • Avoiding common performance issues (e.g., N+1 queries)
• Data Normalization
  • Understanding normalization and its importance
  • First, Second, and Third Normal Forms (1NF, 2NF, 3NF)
  • Identifying and eliminating data redundancy
• Using Microsoft Access for Optimization
  • Performance tuning in Access databases
  • Using Access built-in optimization tools