The new Class 10 Computer Science curriculum consists of 5 units, with 64 working hours and 50 marks for the theory examination. The theory exam is 2 hours.

Unit 1: Computer Network and Communication

Working Hours: 14 | Marks: 11

1.1 Concept of Telecommunication

• Introduction to telecommunication

• Broadband

• Throughput

• Bandwidth

• Frequency

• Data packets

• 3G, 4G and 5G mobile technologies

• Communication modes:

  • Simplex

  • Half-duplex

  • Full-duplex

1.2 Communication Media

Guided / Wired Media

• Twisted-pair cable

• CAT6 cable

• Coaxial cable

• Optical fiber cable

• Advantages and disadvantages of wired media

Unguided / Wireless Media

• Wi-Fi

• Bluetooth

• RFID

• Satellite communication

1.3 Connectors

• RJ45 connector

• Fiber-optic connectors

  • SC

  • LC

  • ST

• Difference between copper and fiber connectors

• Media converter

1.4 Networking Devices

• NIC

• Repeater

• Hub

• Switch

• Bridge

• Router

• Gateway

• Modem

• Access point

1.5 Network Topology

• Concept of network topology

• Star topology

• Features, advantages and disadvantages of star topology

1.6 Networks Based on Coverage

• PAN – Personal Area Network

• LAN – Local Area Network

• MAN – Metropolitan Area Network

• WAN – Wide Area Network

• Features, advantages, disadvantages and examples

1.7 Network Architecture

• Client-server architecture

• Peer-to-peer architecture

• Comparison between client-server and peer-to-peer networks

1.8 IP Addressing

• Concept of IP address

• IPv4

• IPv6

• Public IP address

• Private IP address

• Default gateway

• Basic network commands:

  • ping

  • ipconfig

  • tracert

  • nslookup

1.9 Internet, Intranet and Extranet

• Concept of Internet

• Internet services

• Intranet

• Extranet

• Differences between Internet, Intranet and Extranet

Unit 2: Database Management System

Working Hours: 10 | Marks: 8

2.1 Introduction to Database

• Concept of database

• Need for database

• Uses of database

2.2 Data, Database and DBMS

• Data

• Database

• Database Management System

• Advantages of DBMS

• Applications of DBMS

2.3 Data Types

• Text

• Number

• Date/Time

• Boolean

• Other common database data types

2.4 Table

• Concept of table

• Fields

• Records

• Creating tables

• Rows and columns

2.5 Keys

• Key concept

• Primary key

• Foreign key

• Importance of keys

2.6 Types of Relationships

• One-to-one

• One-to-many

• Many-to-many

• Relationship between tables

2.7 Data Definition Language (DDL)

• Concept of DDL

• CREATE

• ALTER

• DROP

• TRUNCATE

2.8 Data Manipulation Language (DML)

• Concept of DML

• INSERT

• SELECT

• UPDATE

• DELETE

Students are expected to understand basic SQL commands and their use for creating/managing database structures and manipulating records.

Unit 3: Multimedia

Working Hours: 10 | Marks: 8

Introduction to Multimedia

• Concept of multimedia

• Components of multimedia

• Applications of multimedia

3.1 Text

• Concept of text in multimedia

• Text formatting

• Text file formats

  • TXT

  • RTF

  • DOC/DOCX

3.2 Graphics

• Concept of graphics

• Raster graphics

• Vector graphics

• Difference between raster and vector graphics

• Image file formats

• Common graphics formats

3.3 Audio

• Concept of digital audio

• Audio recording

• Audio file formats

• WAV

• MP3

• Basic audio applications

3.4 Video

• Concept of digital video

• Video file formats

• Video compression

• Common video formats

• Applications of video

3.5 Animation

• Concept of animation

• Types of animation

• Basic principles/applications of animation

• Uses of animation in education, entertainment and other fields

The major multimedia components covered are text, graphics/images, audio, video and animation.

Unit 4: Programming in Python

Working Hours: 16 | Marks: 12

4.1 Revision of the Basics of Python

• Introduction to Python

• Variables

• Constants

• Data types

• Operators

• Input and output

• Conditional statements

• Loops

• Basic Python programming concepts

4.2 User-defined Functions and Passing Parameters

• Function concept

• Defining functions

• Calling functions

• User-defined functions

• Parameters and arguments

• Passing parameters

• Return values

• Functions with/without parameters

4.3 Libraries and Packages

• Concept of library

• Concept of package

• Importing libraries

• Using Python libraries

4.4 Graphics Using Turtle

• Introduction to Turtle graphics

• Turtle module

• Drawing basic shapes

• Using commands for movement

• Creating simple graphics/patterns

4.5 Error Handling

• Errors in Python

• Exceptions

• Types of common errors

• try

• except

• Handling exceptions

4.6 File Handling Using Pandas Library

• Introduction to Pandas

• Pandas library

• DataFrame

• Creating DataFrames

• Reading and manipulating data

• Basic file/data handling using Pandas

4.7 Introduction to Data Visualization

• Concept of data visualization

• Importance of data visualization

• Presenting data using charts/graphs

• Basic visualization using Python/Pandas

The specification grid allocates the highest theory weight to Python: 12 out of 50 marks.

Unit 5: AI and Contemporary Technologies

Working Hours: 14 | Marks: 11

5.1 Artificial Intelligence and Machine Learning

• Concept of Artificial Intelligence

• AI and its applications

• Concept of Machine Learning

• Relationship between AI and Machine Learning

5.2 Learning Techniques

• Supervised learning

• Unsupervised learning

• Basic concepts and examples of learning techniques

5.3 AI in Robotics

• AI and robotics

• Applications of AI in robots

• Sensors and decision-making

• Simulation of simple robotic tasks

5.4 Generative AI

• Concept of Generative AI

• AI-generated text

• AI-generated images/content

• Uses of Generative AI

• Basic limitations of Generative AI

5.5 Application of Integrated AI Tools

• AI tools and applications

• Using AI for learning and productivity

• Examples of integrated AI tools

• AI-assisted content creation and problem solving

5.6 Ethics in AI

• AI bias

• Privacy

• Security

• Responsible use of AI

• Fairness and ethical considerations

5.7 Internet of Things (IoT)

• Concept of IoT

• IoT devices

• How IoT works

• Applications of IoT

• Smart home

• Smart city

• Healthcare

• Transportation

• Energy management

5.8 Virtual and Extended Reality (XR)

• Virtual Reality (VR)

• Extended Reality (XR)

• Applications of VR/XR

• Education

• Gaming

• Training and simulation

5.9 Cloud Computing

• Concept of cloud computing

• Cloud services

• Cloud storage

• Applications of cloud computing

• Advantages of cloud computing

5.10 E-Commerce, E-Governance and E-Education

• Concept of e-Commerce

• Online services

• Concept of e-Governance

• Digital government services

• Concept of e-Education

• Online learning

• Digital education platforms

• Advantages and applications

These topics correspond to the five-unit Class 10 textbook structure and the current assessment specification.

SEE Class 10 Computer Science Exam Pattern

Time: 2 hours.

Cognitive-level distribution

• Knowledge: approximately 20%

• Understanding: approximately 30%

• Application: approximately 30%

• Higher Ability: approximately 20%

Unit-wise Weightage

Computer Network and Communication – 22%
Database Management System – 16%
Multimedia – 16%
Programming in Python – 24%
AI and Contemporary Technologies – 22%

Total: 100% / 50 marks.