School Courses

Course Objective:
To develop understanding, appreciation, and readiness for Artificial Intelligence (AI) and its real-life applications through interactive and hands-on learning.

Core Focus Areas:
Learners are introduced to the three major AI domains — Data Science, Computer Vision, and Natural Language Processing (NLP) — along with basic Python programming.

Learning Outcomes:
Students learn to identify AI applications, understand human–machine interactions, appreciate AI ethics, explore job opportunities, and connect AI with Sustainable Development Goals (SDGs).

Assessment Scheme:
Total marks: 100 (Theory 50 + Practical 50). The practical part includes project work, viva, and AI programming exercises.

Course Structure:

Part A: Employability Skills (Communication, ICT, Entrepreneurial, Green Skills).

Part B: Subject-Specific Skills (AI Introduction, AI Project Cycle, Advanced Python, Data Science, Computer Vision, NLP, Evaluation).

Part C: Practicals.

Part D: Project/Field Visit/Portfolio.

Key AI Units:

Introduction to AI – Basics, applications, ethics.

AI Project Cycle – Problem scoping, data acquisition, modelling, evaluation.

Data Science – Using NumPy, Pandas, Matplotlib.

Computer Vision – Image processing, OpenCV basics.

NLP – Text processing, chatbots, bag-of-words model.

Evaluation – Accuracy, precision, recall, F1-score.

Practical Component:
Minimum 15 Python programs covering list operations, data visualization, CSV handling, image reading, and statistical analysis.

Project Work / Portfolio:
Students must complete one project related to AI and SDGs (e.g., Student Marks Prediction Model, Fire Detection using CNN) or participate in AI exhibitions and hackathons.

Foundations of Computer Systems

Basic computer organization, components, types of software, operating systems, Boolean logic, number systems, and encoding schemes.

Computational Thinking & Problem Solving

Algorithm design, flowcharts, pseudocode, and step-wise problem decomposition for programming logic.

Python Programming – I (Class XI)

Syntax, tokens, data types, operators, expressions, conditional and iterative statements, strings, lists, tuples, dictionaries, and Python modules.

Programming – II (Class XII)

User-defined functions, scope and parameters, exception handling, file handling (text, binary, CSV), and stack data structure.

Computer Networks

Evolution of networking, data communication concepts, transmission media, network devices, topologies, protocols, and web services (HTTP, HTML, XML).

Database Management Systems (DBMS)

Database concepts, relational data model, SQL (DDL, DML, joins, constraints), and Python-SQL connectivity for data-driven applications.

Society, Law & Ethics

Digital footprints, net etiquette, IPR, cybercrime, cyber safety, e-waste management, and social issues (gender and disability inclusion).

Practical Component (Class XI & XII)

Lab tests, report files, viva-voce, and programming projects emphasizing logical accuracy, documentation, and code quality.

Python-SQL Project Work

Real-world application projects combining file handling and database connectivity; promotes collaboration and innovation.

Introduction to Computer Systems

Evolution of computing devices, components of a computer system, input/output devices, memory types, data security, and types of software (system and application).

Python Programming Fundamentals

Basics of Python: syntax, operators, data types, expressions, control statements, loops, lists, and dictionaries.

Introduction to NumPy and creating arrays from lists.

Database Concepts & SQL (Class XI)

Introduction to databases and RDBMS, data models, and SQL operations: CREATE, SELECT, INSERT, UPDATE, DELETE, and filtering with WHERE, BETWEEN, and logical operators.

Emerging Technologies

Overview of AI, Machine Learning, NLP, AR/VR, Robotics, Big Data, IoT, Cloud and Grid Computing, and Blockchain technology.

Data Handling with Pandas (Class XII)

Working with Pandas Series and DataFrames: creation, indexing, slicing, and performing operations using Python.

Importing/exporting data between CSV files and DataFrames.

Data Visualization

Using Matplotlib for creating line, bar, and histogram plots; customizing charts with labels, titles, and legends for data interpretation.

Advanced SQL Operations

Use of mathematical, text, and date functions; aggregate functions; Group By, Having, and Join operations for relational data management.

Computer Networks & Internet Concepts

Basics of PAN, LAN, MAN, WAN; network devices and topologies; internet concepts like URL, WWW, web pages, and browser configuration.

Societal and Ethical Impacts of IT

Cyber safety, digital footprints, net etiquettes, data protection, intellectual property rights, plagiarism, e-waste management, and awareness about tech-related health issues.

Practical and Project Work

Hands-on Python and SQL exercises, Pandas and Matplotlib applications, and a project integrating Class XI–XII concepts.

1. Strong Foundation in Python Programming
   Students learn core Python concepts such as variables, data types, loops, functions, and file handling, helping them build real programming confidence.
2.  Focus on Logical & Analytical Thinking
   The course develops problem-solving ability through coding exercises, condition-based logic, and structured program design.
3.  Practical Learning Through Hands-On Labs
   Regular lab sessions allow students to practice coding, database queries, and file operations in a real working environment.
4.  Introduction to Database & SQL Concepts
   Learners understand databases, tables, and SQL commands like SELECT, INSERT, UPDATE, and DELETE for managing data efficiently.
5.  Understanding of Computer Networks
   Students gain basic knowledge of LAN, WAN, internet usage, and network devices, essential for modern digital communication.
6.  Awareness of Cyber Safety & Digital Ethics
   The syllabus promotes responsible technology use by teaching cyber security, privacy, intellectual property, and online safety.
7.  Project-Based Learning Approach
   Students complete real-life projects that improve creativity, planning skills, and practical application of concepts.
8.  Preparation for Higher Education & Careers
   This subject builds a strong base for Computer Science, IT, Data Analytics, and Engineering courses after Class 12.
9.  Improvement in Debugging & Error Handling Skills
   Learners practice identifying and fixing programming errors, making them confident and independent coders.
10. Balanced Theory & Practical Structure
    The course maintains a perfect balance between conceptual knowledge and hands-on programming experience.

Class IX – CISCE Board

Empowerment Through Creation:
Enable students to design and build their own applications, fostering confidence and technical independence.

Exposure to Effective Tools:
Introduce students to essential software tools that expand knowledge, foster creativity, enhance work quality, and improve overall efficiency.

Logical and Analytical Thinking:
Develop students' problem-solving skills through interactive programming, encouraging structured and logical thought processes.

Understanding Object-Oriented Concepts:
Provide a strong foundation in computing using an object-oriented programming language to develop sound technical skills.

Awareness of Ethical Computing:
Instill a clear understanding of the ethical practices and responsibilities involved in the field of computing.

The Robotics and Artificial Intelligence course aims to:

Develop a foundational understanding of key concepts and real-world applications in Robotics and Artificial Intelligence (AI).

Foster competencies in Robotics and AI through a combination of classroom instruction, laboratory experiments, and self-directed, project-based learning.

Enable experiential learning by engaging students in hands-on activities that promote critical thinking, creativity, and problem-solving in the context of Robotics and AI.

Instill AI-readiness skills by introducing essential AI concepts such as Data, Computer Vision, and Natural Language Processing (NLP).

Introduce the AI Project Framework, helping students understand how AI-based solutions are designed, developed, and evaluated.

Develop basic computational thinking skills, including foundational programming in Python, to help students implement logic and build intelligent systems.

Promote ethical awareness by familiarizing students with the ethical considerations and responsibilities associated with the use of AI technologies in society.

Aims (Conceptual)

Algorithmic Problem Solving and Abstractions
To develop an understanding of algorithmic problem solving using:

Data abstractions

Functional and procedural abstractions

Object-based and object-oriented abstractions

Computing Fundamentals Across Abstraction Layers
To understand:
a) How computers represent, store, and process data across various levels of abstraction that bridge the algorithmic level and machine level
b) How computers interact and communicate with the external world

Ethical Computing
To create awareness of ethical issues in computing and promote safe and responsible behavior in digital environments

Awareness of Future Trends
To provide insights into emerging trends and future directions in the field of computing

Aims (Skills)

To develop the ability to devise algorithmic solutions for real-world problems

To gain proficiency in implementing, validating, documenting, executing, and debugging solutions using the Java programming system

1.  Strong Emphasis on Logical Thinking
   The course trains students to think step-by-step and solve problems using algorithms and structured reasoning methods.
2.  Comprehensive Python Programming Skills
   Students master Python fundamentals, data types, loops, functions, and file handling for real-world programming applications.
3.  Algorithm & Flowchart Based Learning
   Learners develop the ability to design clear algorithms and flowcharts before writing programs, improving accuracy and planning.
4.  Introduction to Boolean Algebra & Logic Gates
   Basic digital logic concepts help students understand how computers process information internally.
5.  Understanding of Computer Hardware & Systems
   Students gain knowledge about input, output, memory, storage devices, and system architecture.
6.  Practical Exposure Through Lab Work
   Regular practical sessions strengthen coding, problem-solving, and logical implementation skills.
7.  Fundamentals of Data Structures
   The syllabus introduces arrays, searching, sorting, stacks, and queues for efficient data handling.
8.  Database Knowledge for Information Management
   Students learn basic database concepts, tables, records, and structured data organization.
9.  Project-Based Skill Development
   Real-life project work improves creativity, teamwork, documentation, and presentation skills.
10.  Preparation for Higher Studies & Technical Careers
    The subject builds a strong foundation for engineering, IT, computer science, and data-related careers.

Unit 1: Computer System & Hardware

Introduction to Computer System
Input, Output, and Processing
CPU: ALU, CU, Registers
Primary & Secondary Memory
Storage Devices (HDD, Pen Drive, CD/DVD, SSD)
Peripheral Devices

Unit 2: Operating System

Meaning of Operating System
Functions of Operating System
Types of Operating Systems
Windows / Linux Basics
File & Folder Management
Desktop, Icons, Taskbar
Unit 3: Number System

Decimal Number System
Binary Number System
Conversions
Decimal to Binary
Binary to Decimal
Simple Calculations
Unit 4: Introduction to Programming (Java / Python / QBASIC – School Based)

Meaning of Programming
Algorithm and Flowchart
Program Structure
Keywords and Identifiers
Variables and Constants
Data Types

Unit 5: Control Statements

Conditional Statements

Looping Statements

Practical Examples
Unit 6: Input / Output in Programming

Input Statements
Output Statements
Formatting Output

User Interaction
Practice Programs
 

Unit 7: Office Applications

Word Processing

Creating Documents
Formatting Text
Tables
Page Setup
Printing
Spreadsheets

Rows and Columns
Formulas
Functions (SUM, AVG, MAX, MIN)
Charts

Presentation

Slides
Animations
Transitions
Slide Show

Unit 8: Internet & Networking

Introduction to Internet
World Wide Web (WWW)
Web Browsers
Search Engines
Email Services
Social Media Awareness

Unit 9: Cyber Safety & Ethics

Safe Internet Usage
Password Protection
Cyber Crimes
Online Privacy
Digital Etiquette
Computer Ethics
Unit 10: Practical & Project Work

Program Writing
Debugging
Mini Project

Presentation
Documentation

 

Unit 1: Computer System & Hardware

Introduction to Computer System

Input, Output, and Processing

Central Processing Unit (CPU):

ALU (Arithmetic Logic Unit)

Control Unit (CU)

Registers

Primary and Secondary Memory

Storage Devices (HDD, Pen Drive, CD/DVD, SSD)

Peripheral Devices

Unit 2: Operating System

Meaning of Operating System

Functions of Operating System

Types of Operating Systems

Windows / Linux Basics

File and Folder Management

Desktop, Icons, Taskbar

Unit 3: Number System

Decimal Number System

Binary Number System

Number Conversion:

Decimal to Binary

Binary to Decimal

Simple Binary Calculations

Unit 4: Introduction to Programming (Python / Java / QBASIC – School Based)

Meaning of Programming

Algorithm and Flowchart

Program Structure

Keywords and Identifiers

Variables and Constants

Data Types

Unit 5: Control Statements

Conditional Statements

IF

IF–ELSE

Nested IF

Looping Statements

FOR

WHILE

DO–WHILE

Practical Examples

Unit 6: Input and Output in Programming

Input Statements

Output Statements

Formatting Output

User Interaction

Practice Programs

Unit 7: Office Applications

Word Processing

Creating Documents

Formatting Text

Tables

Page Setup

Printing

Spreadsheets

Rows and Columns

Formulas

Functions (SUM, AVERAGE, MAX, MIN)

Charts

Presentation Software

Slides

Animations

Transitions

Slide Show

Unit 8: Internet & Networking

Introduction to Internet

World Wide Web (WWW)

Web Browsers

Search Engines

Email Services

Social Media Awareness

Unit 9: Cyber Safety & Ethics

Safe Internet Usage

Password Protection

Cyber Crimes

Online Privacy

Digital Etiquette

Computer Ethics

Unit 10: Practical & Project Work

Program Writing

Debugging

Mini Project

Presentation

Documentation

Unit 1: Introduction to Computers

Definition and Uses of Computers

Characteristics of Computers

History and Evolution of Computers

Types of Computers (Desktop, Laptop, Tablet, Smartphone)

Advantages and Limitations

Unit 2: Computer System & Components

Basic Structure of a Computer System

Input Devices (Keyboard, Mouse, Scanner, Microphone)

Output Devices (Monitor, Printer, Speaker, Projector)

Central Processing Unit (CPU): ALU and Control Unit

Memory: Primary and Secondary Memory

Unit 3: Operating System Basics

Meaning of Operating System

Functions of Operating System

Introduction to Windows / Linux

Desktop, Icons, Start Menu, Taskbar

File and Folder Management

Unit 4: Working with Files and Folders

Creating Files and Folders

Renaming, Deleting, and Moving Files

Copying and Pasting Data

Searching for Files

Storage Management

Unit 5: Introduction to Programming Concepts

Meaning of Programming

Introduction to Algorithms

Flowcharts (Basic Symbols)

Steps in Program Development

Introduction to Simple Coding (Python / Scratch / QBASIC – School Based)

Unit 6: Basic Programming Fundamentals

Keywords and Identifiers

Variables and Constants

Data Types

Simple Input and Output Statements

Basic Arithmetic Operations

Unit 7: Office Applications

Word Processing

Creating and Saving Documents

Editing and Formatting Text

Inserting Pictures and Tables

Page Setup and Printing

Spreadsheets

Introduction to Worksheets

Rows and Columns

Basic Formulas

Functions: SUM, AVERAGE

Presentation

Creating Slides

Adding Text and Images

Slide Transitions

Slide Show

Unit 8: Internet and Email

Introduction to Internet

Uses of Internet

Web Browsers and Search Engines

Introduction to Email

Online Communication

Unit 9: Cyber Safety and Digital Responsibility

Safe Internet Practices

Password Protection

Avoiding Online Threats

Personal Data Security

Responsible Use of Technology

Digital Etiquette

Unit 10: Practical & Project Work

Basic Computer Operations

Simple Program Writing

Office Application Practice

Mini Project

Viva and Documentation

Unit 1: Introduction to Computers

Meaning of Computer

Uses of Computer in Daily Life

Characteristics of Computer

Advantages of Computer

Limitations of Computer

Unit 2: Parts of a Computer

Basic Parts of a Computer System

Input Devices (Keyboard, Mouse, Microphone, Scanner)

Output Devices (Monitor, Printer, Speaker)

CPU (Introduction Only)

Memory (Primary and Secondary – Basic Concept)

Unit 3: Operating System Basics

Meaning of Operating System

Introduction to Windows

Desktop, Icons, Start Menu, Taskbar

Opening and Closing Programs

Shutting Down the Computer Properly

Unit 4: Managing Files and Folders

Files and Folders (Basic Concept)

Creating and Saving Files

Opening and Closing Files

Renaming and Deleting Files

Copying and Moving Files

Unit 5: Introduction to Programming Concepts

Meaning of Programming

Introduction to Algorithms

Flowcharts (Basic Symbols)

Introduction to Block-Based Coding / Scratch / Simple Python (School Based)

Unit 6: Basic Programming Elements

Variables (Basic Idea)

Simple Data Types

Input and Output Statements

Basic Arithmetic Operations

Simple Programs

Unit 7: Office Applications

Word Processing

Creating Documents

Typing and Editing Text

Formatting Text (Font, Size, Color)

Inserting Pictures

Saving and Printing

Spreadsheets

Introduction to Worksheets

Rows and Columns

Basic Formulas (Addition, Subtraction)

Presentation

Creating Simple Slides

Adding Text and Pictures

Slide Show

Unit 8: Internet Basics

Meaning and Uses of Internet

Web Browsers

Search Engines

Introduction to Email

Safe Browsing Habits

Unit 9: Cyber Safety and Good Digital Habits

Safe Use of Computer

Password Safety

Avoiding Strangers Online

Protecting Personal Information

Good Online Behaviour

Unit 10: Practical & Activity Work

Basic Computer Practice

Simple Program Writing

Office Application Activities

Mini Project

Oral Test / Viva

Course Overview:

This course covers the fundamental concepts of computer system organization, programming, efficient mechanism

for storing and retrieving data on main memory, data management and visualization techniques, computer networks

along with HTML page designing, the value of technology in societies, e-commerce, database management system,

artificial intelligence, and data warehouse and data mining technique for the students from all academic backgrounds.

Course Objective:

This course enables students to-

 develop an understanding of how computer system works; the components of computer systems and how

they interrelate, including software, data, hardware, communications and users.

 analyze a computing problem and to apply principles of computing to identify solutions.

 use of efficient data storing and retrieval technique along with basic programming skill.

 gather the fundamental knowledge on computer networks and web page designing.

 gain proficiency in data management, visualization, analysis, and presentation using a widely-used open

source spreadsheet software application such as Open Office, Libre Office, or Google Spreadsheets.

 appreciate the ethical implications relating to the use of computing technology and information and identify

the impact of technology on personal life and society.

 develop the knowledge, skills, and competencies needed to leverage the opportunities presented by the

digital economy and to navigate the challenges and risks associated with online business operations.

 understand the basics of artificial intelligence and its subfields.

 develop an understanding of database management systems, with an emphasis on how to organize, maintain

and retrieve - efficiently, and effectively.

 extract knowledge from data repository for data analysis, frequent pattern, classification and prediction.

Course Overview:

This course covers the fundamental concepts of computer system organization, programming fundamental along

with its theoretical analysis, data structure, computer networks, the value of technology in societies, e-commerce,

python programming, database management system, and artificial intelligence for the students from science

background only.

Course Objective:

This course enables students to-

 develop an understanding of how computer system works; the components of computer systems and how

they interrelate, including software, data, hardware, communications and users.

 analyse a computing problem and to apply principles of computing to identify solutions.

 use of efficient data storing and retrieval technique along with basic programming skill.

 gather the fundamental knowledge on computer networks and web page designing.

 appreciate the ethical implications relating to the use of computing technology and information and identify

the impact of technology on personal life and society.

 develop the knowledge, skills, and competencies needed to leverage the opportunities presented by the

digital economy and to navigate the challenges and risks associated with online business operations.

 understand the basics of artificial intelligence and its subfields.

 develop an understanding of database management systems, with an emphasis on how to organize,

maintain and retrieve - efficiently, and effectively.