Standard 10th Computer Science Course

Standard 10th Computer Science Course

  • Product Code: Standard 10th Computer Science Course
  • Availability: In Stock
  • ₹19,999.00

  • Ex Tax: ₹19,999.00

Qty
Class X • Online Course

Computer Science Course Contents

Build essential digital skills through computer fundamentals, Python programming, problem-solving, databases, cybersecurity and artificial intelligence. Learn concepts step by step and apply them through practical coding exercises.

16 Learning Modules
Python Programming & Problem Solving
Hands-on Practical Coding Lab

Explore the Course Modules

Learn computer science fundamentals, develop programming logic and explore modern digital technologies.

🖥️
Module 01

Computer Fundamentals & Digital Technology

  • Computer system and its components
  • Hardware and software
  • Operating systems
  • Memory and storage
  • Types of software
  • Utility and application software
  • Data and information
  • Emerging technologies
🌐
Module 02

Computer Networks

  • Introduction to computer networks
  • LAN, MAN and WAN
  • Network topologies and devices
  • Internet and World Wide Web
  • IP addresses and domain names
  • Web browsers and search engines
  • Internet services
  • Cloud computing basics
🔐
Module 03

Cyber Safety & Security

  • Cybersecurity fundamentals
  • Types of cyber threats
  • Malware, viruses and ransomware
  • Phishing and online fraud
  • Password security and two-factor authentication
  • Data privacy and safe social media practices
  • Cyberbullying and digital footprints
  • Copyright, plagiarism and digital citizenship
🧩
Module 04

Introduction to Programming

  • Programming concepts
  • Algorithms and flowcharts
  • Pseudocode
  • Problem-solving techniques
  • Variables and constants
  • Data types and operators
  • Expressions and input/output
  • Errors and debugging
🐍
Module 05

Python Programming

  • Introduction to Python
  • Python programming environment
  • Python syntax
  • Variables and numbers
  • Strings and Boolean values
  • Input and output statements
  • Type conversion
  • Comments in Python
➗
Module 06

Operators & Expressions

  • Arithmetic operators
  • Relational operators
  • Logical operators
  • Assignment operators
  • Membership operators
  • Identity operators
  • Operator precedence
  • Python expressions
🔀
Module 07

Conditional Statements

  • if statements
  • if-else statements
  • if-elif-else statements
  • Nested conditions
  • Multiple conditions
  • Real-world programming problems
🔁
Module 08

Loops

  • Introduction to iteration
  • for and while loops
  • range() function
  • Nested loops
  • break and continue
  • Pattern programs
  • Mathematical programming problems
🔤
Module 09

Strings

  • Creating strings
  • String indexing and slicing
  • String operators
  • String methods
  • Searching within strings
  • Counting characters
  • Practical string programs
📋
Module 10

Lists & Data Collections

  • Creating lists
  • List indexing and slicing
  • Adding and removing elements
  • Updating list elements
  • List methods
  • Traversing lists
  • Searching and sorting
  • Practical list programs
📦
Module 11

Tuples & Dictionaries

  • Tuples and tuple operations
  • Dictionary concepts
  • Keys and values
  • Adding and updating dictionary data
  • Dictionary methods
  • Practical applications
⚙️
Module 12

Functions

  • Need for functions
  • Built-in and user-defined functions
  • Function parameters and arguments
  • Return values
  • Local and global variables
  • Reusable code
  • Practical function-based programs
📁
Module 13

File Handling — Introduction

  • What is a file?
  • Text files
  • Opening and closing files
  • Reading files
  • Writing files
  • Appending data
  • Basic file-processing programs
🗄️
Module 14

Database Concepts

  • What is a database?
  • Data vs information
  • Tables, rows and columns
  • Primary key
  • Database management systems
  • Introduction to SQL
  • SELECT, INSERT, UPDATE and DELETE
  • Simple database queries
🤖
Module 15

Artificial Intelligence

  • Introduction to AI
  • AI around us
  • Machine learning basics
  • Data and AI
  • Computer vision
  • Natural language processing
  • Generative AI and education applications
  • AI ethics, bias and fairness
  • Responsible use of AI

💻 Module 16: Practical Coding Lab

Practice programming through guided projects that develop logical thinking, computational skills and confidence in Python.

✓ Calculator
✓ Simple interest calculator
✓ Student marks calculator
✓ Grade calculator
✓ Even/odd checker
✓ Prime number checker
✓ Factorial program
✓ Fibonacci series
✓ Multiplication table
✓ Number guessing game
✓ Quiz application
✓ String analyzer
✓ List-based student record
✓ Dictionary-based contact book
✓ File-based student records

What Will You Learn?

Build a strong foundation in computing, programming logic and responsible technology use through theoretical concepts and practical Python projects.

✓ Understand computer fundamentals and networks.
✓ Identify cyber threats and follow safe online practices.
✓ Design algorithms and solve programming problems.
✓ Write Python programs using conditions and loops.
✓ Work with strings, lists, tuples and dictionaries.
✓ Create reusable code using functions.
✓ Understand files, databases and basic SQL commands.
✓ Explore AI applications and responsible AI use.