CBSE Class 10 – Computer Science (NCERT Based) Syllabus 2025–26

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📘 Header Information

Class: 10
Subject: Computer Science / Computer Applications
Board: CBSE (Academic Session 2025–26)

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📑 CBSE Class 10 Computer Science – Question Pattern & Marking Scheme (2025–26)

Total Marks: 100

• Theory: 70 Marks
• Practical / Internal Assessment: 30 Marks

Exam Duration: 3 Hours

➡ Section-wise Marks Distribution (Theory)

Section A — Very Short Questions (VSA):

• MCQ / Fill in the blanks / True–False
• Measures basic recall and understanding
• Approx. 10–12 marks

Section B — Short Answer Questions (SA):

• Concept explanation, small code snippets, reasoning
• Approx. 20–25 marks

Section C — Long Answer Questions (LA):

• Program-based questions, logic building, case studies
• Approx. 30–35 marks

➡ Internal Assessment (30 Marks)

• Practical Exam: 15 marks (programming tasks)
• Project Work: 10 marks (Python-based or ICT-based mini project)
• Notebook / Portfolio / Viva: 5 marks

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📚 CBSE Class 10 Computer Science – Full Syllabus (2025–26)

(Organized by Unit → Chapters → Summary / Learning Outcome)

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UNIT 1 — Digital Documentation / ICT Skills

Chapter 1: Advanced Word Processing Concepts

• Formatting, styles, templates, referencing tools.
  Learning Outcome: Students learn professional document creation and formatting.

Chapter 2: ICT Ethics & Cyber Safety

• Responsible use of technology, online security, cyber laws.
  Learning Outcome: Understand cyber threats and safe digital practices.

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UNIT 2 — Programming in Python

Chapter 3: Introduction to Python

• Syntax, variables, data types, operators.
  Learning Outcome: Students understand basic programming concepts and structure.

Chapter 4: Conditional Statements & Loops

• if-elif-else, while, for loops.
  Learning Outcome: Develop logical thinking and control-flow understanding.

Chapter 5: Lists, Tuples & Strings

• Basic data structures, slicing, methods.
  Learning Outcome: Ability to store, access and manipulate data.

Chapter 6: Functions in Python

• Defining and calling functions, parameters, return values.
  Learning Outcome: Learn modular programming and code reusability.

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UNIT 3 — Database Concepts

Chapter 7: Introduction to Databases

• Need for data storage, DBMS, RDBMS concepts.
  Learning Outcome: Understand how structured data is stored and managed.

Chapter 8: Working With Tables

• Fields, records, primary key, data types.
  Learning Outcome: Students learn table design and basic data modeling.

Chapter 9: SQL Basics

• SELECT, WHERE, ORDER BY, simple conditions.
  Learning Outcome: Acquire skills to query and retrieve data using SQL.

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UNIT 4 — Internet & Web Technologies

Chapter 10: Internet Evolution & Web Services

• WWW, URLs, HTML basics, browsers, websites.
  Learning Outcome: Gain foundational web literacy and networking concepts.

Chapter 11: Online Tools & Cloud Storage

• Productivity apps, collaboration tools, cloud computing basics.
  Learning Outcome: Learn digital tools used in education and industry.

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UNIT 5 — Project Work & Practical Competencies

Project:

• Python-based application or simple database project.
  Learning Outcome: Apply coding and database skills in a real-world scenario.

Practical Skills:

• Python programs, SQL queries, document preparation.
  Learning Outcome: Develop hands-on computing proficiency.

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🎯 Overall Learning Outcomes

• Clear understanding of programming fundamentals using Python
• Ability to design simple databases and perform basic SQL operations
• Safe and ethical use of technology
• Skill in preparing digital documents and online collaboration
• Strengthened logical, analytical and computational thinking

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