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Computer Science (Python) Science (English Medium) Class 11 CBSE Syllabus 2026-27

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CBSE Class 11 Computer Science (Python) Syllabus - Free PDF Download

CBSE Syllabus 2026-27 Class 11: The CBSE Class 11 Computer Science (Python) Syllabus for the examination year 2026-27 has been released by the Central Board of Secondary Education, CBSE. The board will hold the final examination at the end of the year following the annual assessment scheme, which has led to the release of the syllabus. The 2026-27 CBSE Class 11 Computer Science (Python) Board Exam will entirely be based on the most recent syllabus. Therefore, students must thoroughly understand the new CBSE syllabus to prepare for their annual exam properly.

The detailed CBSE Class 11 Computer Science (Python) Syllabus for 2026-27 is below.

Academic year:

CBSE Class 11 Computer Science (Python) Revised Syllabus

CBSE Class 11 Computer Science (Python) Course Structure 2026-27 With Marking Scheme

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Syllabus

1 Computer System
  • Introduction to Computer System  
  • Components of a Computer System  
    • Central Processing Unit (CPU)
    • Input Devices
    • Output Devices
  • Evolution of Computer  
  • Computer Memory  
    • Introduction to Computer Memory 
    • Units of Memory
    • Types of Memory
  • Data Transfer Between Memory and CPU  
  • An Introduction to the Advanced Microprocessors  
    • Introduction
    • Microprocessor Specifications
    • Microcontroller
  • Data and Information  
    • Introduction
    • Data and Its Types 
    • Data Capturing, Storage and Retrieval
    • Data Deletion and Recovery
  • Software  
    • Introduction to Software 
    • Need of Software 
  • System Software and Its Types  
  • Programming Tools of Software System  
  • Application Software  
  • Proprietary or Free and Open Source Software  
  • Basics of Operating System (OS)  
    • Introduction to Operating System 
    • OS User Interface
    • Functions of Operating System
2 Encoding Schemes and Number System
  • Concept of Encoding Schemes and Number System  
  • American Standard Code for Information Interchange (ASCII)  
    • BCD
    • ASCII
    • EBCDIC CODES
  • Indian Script Code for Information Interchange (ISCII)  
  • UNICODE  
  • Introduction to Number Systems  
  • Conversion between Number Systems  
  • Decimal Number System  
    • Introduction to Decimal Number System Conversion
    • Decimal Number to Binary Number Conversion
    • Decimal Number to Octal Number Conversion
    • Decimal Number to Hexadecimal Number Conversion 
  • Binary Number System  
    • Introduction to Binary Number System 
    • Binary Number to Octal Number Conversion 
    • Binary Number to Hexadecimal Number Conversion 
    • Binary Number to Decimal Number Conversion 
  • Octal Number System  
    • Introduction to Octal Number System 
    • Octal Number to Decimal Number Conversion 
    • Octal Number to Binary Number Conversion 
    • Octal Number to Hexadecimal Number Conversion
  • Hexadecimal Number System  
    • Introduction to Hexadecimal Number Systems 
    • Hexadecimal Number to Decimal Number Conversion 
    • Hexadecimal Number to Binary Number Conversion 
    • Hexadecimal Number to Octal Number Conversion 
    • Applications of Hexadecimal Number System 
  • Conversion of a Number with Fractional Part  
    • Decimal Number with Fractional Part to another Number System
    • Non-decimal Number with Fractional Part to Decimal Number System
    • Fractional Binary Number to Octal or Hexadecimal Number
3 Emerging Trends
  • Concept of Emerging Trends  
  • Artificial Intelligence (AI)  
    • Introduction to AI 
    • Advantages and Disadvantages of AI
  • Machine Learning  
  • Natural Language Processing (NLP)  
  • Immersive Experiences  
    • Virtual Reality
    • Augmented Reality
  • Robotics  
  • Big Data  
    • Introduction to Big Data
    • Characteristics of Big Data
    • Data Analytics 
  • Internet, Web and the Internet of Things  
    • Introduction to Internet, Web and the Internet of thIngs
    • The World Wide Web (WWW)
  • Cloud Computing  
    • Introduction to Cloud Computing
    • Cloud Services
  • Grid Computing  
  • Blockchains  
4 Introduction to Problem Solving
  • Introduction to Problem Solving  
  • Steps for Problem Solving  
    • Introduction to Problem Solving 
    • Analysing the problem and Developing an Algorithm
    • Coding and Testing and Debugging
  • Algorithm  
    • Introduction to Algorithm 
    • Why do we need an Algorithm?
  • Representation of Algorithms  
    • Introduction to Representation of Algorithm 
    • Flowchart 
    • Pseudocode
  • Introduction to Flow of Control  
    • Sequence
    • Selection 
    • Repetition
  • Verifying Algorithms  
  • Comparison of Algorithm  
  • Coding  
  • Decomposition in Problem Solving  
5 Getting Started with Python
  • Concept of Python  
    • Introduction to Python 
    • Features of Python 
    • Working with Python 
    • Execution Modes 
  • Python Keywords  
  • Python Identifiers  
  • Python Variables  
  • Python Comments  
  • Everything is an Object  
  • Python Data Types  
    • Introduction to Data Types 
    • Number and Sequence 
    • Set and None 
    • Mapping 
    • Mutable and Immutable Data Type 
    • Deciding Usage of Python Data Types
  • Operators in Python  
    • Introduction to Operators 
    • Arithmetic Operators
    • Relational Operators
    • Assignment Operators
    • Logical Operators
    • Identity and Membership Operators
  • Python Expressions  
    • Introduction to Expressions 
    • Precedence of Operators
  • Statement in Python  
  • Input and Output in Python  
  • Type Conversion in Python  
    • Introduction to Type Conversion
    • Implicit Conversion 
    • Explicit Conversion 
  • Debugging in Python  
6 Flow of Control
  • Introduction to Flow of Control  
    • Sequence
    • Selection 
    • Repetition
  • Selection  
  • Indentation  
  • Repetition  
    • Introduction to Repetition
    • For Loop
    • While Loop
  • Break and Continue Statement in Python  
    • Introduction to Break and Continue Statement
    • Break Statement
    • Continue Statement
  • Nested Loops in Python  
7 Functions
  • Concept of Function in Python  
    • Introduction Functions in Python 
    • Modularity and Reusability in Programming
    • The Advantages of Function 
  • User Defined Functions  
    • Introduction to User Defined Functions 
    • Creating User Defined Function
    • Functions Returning Value
    • Flow of Execution
  • Arguments and Parameters  
    • Introduction to Arguments and Parameters
    • String as Parameters
    • Default Parameter
  • Scope of a Variable in Python  
  • Python Standard Library  
    • Introduction to Standard Library 
    • Built-in Functions 
  • Module  
    • Introduction to Module 
    • Built-in Modules
    • From Statement 
8 Strings
  • Concepts of Strings in Python  
    • Introduction to Strings 
    • Accessing Characters in a String 
    • String is Immutable
  • String Operation in Python  
  • Traversing a String in Python  
  • String Method and Built-in Functions in Python  
  • String Handling in Python  
9 Lists
  • Lists in Python  
    • Introduction to Lists 
    • Accessing Elements in a List
    • Lists are Mutable
  • Lists Operations in Python  
  • Traversing a Lists in Python  
  • Lists Methods and Built-in Functions in Python  
  • Nested Lists in Python  
  • Copying Lists in Python  
  • Lists as Argument to a Function in Python  
  • Lists Manipulation in Python  
10 Tuples and Dictionaries
  • Concepts of Tuples in Python  
    • Introduction to Python 
    • Accessing Elements in a Tuple
    • Tuple is Immutable
  • Tuple Operations in Python  
  • Tuple Methods and Built-in Functions  
  • Tuple Assignment in Python  
  • Nested Tuples in Python  
  • Tuple Handling in Python  
  • Introduction to Dictionaries in Python  
    • Creating a Dictionary
    • Accessing Items in a Dictionary
  • Dictionaries are Mutable in Python  
  • Dictionary Operations in Python  
  • Traversing a Dictionary in Python  
  • Dictionary Methods and Built-in Functions in Python  
  • Manipulating Dictionaries in Python  
11 Societal Impact
  • Introduction of Societal Impacts  
  • Digital Footprints  
  • Digital Society and Netizen  
  • Data Protection  
    • Introduction to Data Protection 
    • Intellectual Property Right (IPR)
    • Violation of IPR
    • Public Access and Open Source Software
  • Cyber Crimes  
    • Key Points: Cyber Crimes
  • IT Act of India 2000  
  • Impact on Health  

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