Informatics Practices

Here is the compiled Informatics Practices curriculum for the academic year 2022-23 as per the latest CBSE notification. Students can access the syllabus so that they can get an idea about the variety of topics that are included in the course. 

Unit 1: Introduction to Computer System

• Introduction to computer and computing 
  • Evolution of computing devices
  • Input/output devices
  • Components of a computer system and their interconnections
• Computer Memory 
  • Units of memory
  • Types of memory – primary and secondary, data deletion, its recovery and related security concerns
• Software
  • Purpose and types 
    • System and application software, generic and specific purpose software

Unit 2: Introduction to Python

• Basics of Python programming 
• Python interpreter 
  • Interactive and script mode
  • The structure of a program
  • Indentation
  • Identifiers, keywords, constants, variables
  • Types of operators, precedence of operators, data types, mutable and immutable data types, statements, expressions, evaluation and comments, input and output statements, data type conversion, debugging
• Control Statements
  • If-else
  • For loop Lists 
    • List operations – creating, initializing, traversing and manipulating lists, list methods and built-in functions. Dictionary: concept of key-value pair, creating, initializing, traversing, updating and deleting elements, dictionary methods and built-in functions

 Unit 3: Database concepts and the Structured Query Language

• Database Concepts
  • Introduction to database concepts and their need
  • Database Management System
• Relational data model
  • Concept of the domain, tuple, relation, candidate key, primary key, alternate key
• Advantages of using Structured Query Language
• Data Definition Language
• Data Query
• Language and Data Manipulation Language
• Introduction to MySQL
• Creating a database using MySQL
• Data Types
• Data Query: SELECT, FROM, WHERE
• Data Definition: CREATE TABLE
• Data Manipulation: INSERT

Unit 4: Introduction to the Emerging Trends

• Artificial Intelligence
• Machine Learning
• Natural Language Processing
• Immersive experience (AR, VR)
• Robotics
• Big data and its characteristics
• Internet of Things (IoT)
• Sensors
• Smart cities
• Cloud Computing and Cloud Services (SaaS, IaaS, PaaS)
• Grid Computing
• Blockchain technology