Computer Science delves into the theoretical and practical aspects of computing, covering topics such as algorithms, programming, data structures, and software development. It equips students with the skills to solve complex problems and innovate in the technology field.
Created By Hariom
Students Enrolled
5000+
Trainers
500+
Courses
400+
The Computer Science 12th course is designed to provide students with a comprehensive understanding of programming concepts, data structures, and computer networking. Aligned with CBSE guidelines and incorporating NCERT content, this curriculum aims to equip students with essential skills for pursuing higher education and careers in the field of computer science.
What You'll Acquire:
Who Can Learn: This course is ideal for:
Comprehensive Curriculum Featuring:
Part I Programming Fundamentals
Chapter 1: Exception Handling in Python
Exception handling is crucial in Python programming to manage unexpected errors that may occur during program execution. Students will learn how to use try-except blocks to handle exceptions gracefully, ensuring that programs can recover from errors and continue functioning.
Chapter 2: File Handling in Python
File handling involves reading from and writing to files in Python. Students will explore various file operations such as opening, reading, writing, and closing files. They will understand different modes of file access and how to manipulate file contents effectively within Python programs.
Part II Data Structures and Algorithms
Chapter 3: Stack
A stack is a fundamental data structure that follows the Last In, First Out (LIFO) principle. Students will learn how to implement a stack using arrays or linked lists, and understand its applications in programming, such as function call stack management and expression evaluation.
Chapter 4: Queue
A queue operates on the First In, First Out (FIFO) principle and is essential for managing data in various scenarios like scheduling, task management, and breadth-first search algorithms. Students will study different types of queues and their implementations in Python.
Chapter 5: Sorting
Sorting algorithms are vital for arranging data in a specific order efficiently. Students will delve into various sorting techniques such as bubble sort, insertion sort, selection sort, merge sort, and quick sort. They will compare their time complexities and suitability for different data sets.
Chapter 6: Searching
Searching algorithms are used to find specific elements within data structures. Students will explore linear search, binary search, and hash-based searching methods. They will analyze the efficiency and applications of each algorithm in different scenarios.
Part III Data Management and Networking
Chapter 7: Understanding Data
This chapter focuses on the fundamentals of data representation, including numeric, character, and string data types. Students will learn about data storage formats, memory allocation, and manipulation techniques to optimize data handling in programs.
Chapter 8: Database Concepts
Databases are crucial for storing and retrieving structured data efficiently. Students will study relational database concepts, schema design, normalization techniques, and ACID properties. They will understand the role of databases in modern applications and how to integrate them with Python programs.
Chapter 9: Structured Query Language (SQL)
SQL is the standard language for managing relational databases. Students will master SQL commands for creating, querying, updating, and deleting data from databases. They will practice writing complex queries to extract meaningful insights from large datasets.
Chapter 10: Computer Networks
Computer networks enable communication and data exchange between devices. Students will learn about network types, topologies, protocols (TCP/IP, UDP), and networking devices (routers, switches). They will understand the OSI model and its layers, along with the basics of network security and management.
Chapter 11: Data Communication
Data communication focuses on the principles and methods of transmitting data across networks. Students will explore different transmission modes (simplex, half-duplex, full-duplex), modulation techniques, error detection and correction methods, and the impact of bandwidth and latency on communication efficiency.
Chapter 12: Security Aspects
Security is paramount in networked environments to protect data from unauthorized access, modification, or loss. Students will learn about encryption techniques (symmetric and asymmetric cryptography), digital signatures, firewalls, intrusion detection systems (IDS), and best practices for securing networks and data.
Part IV Advanced Topics
Chapter 13: Project Based Learning
In this final chapter, students will apply their knowledge and skills acquired throughout the course to undertake a project. They will work on designing, developing, and presenting a comprehensive software solution or network infrastructure that addresses a real-world problem or scenario.
Exclusive Resources and Materials:
Your Gateway to Computer Science Excellence: This course serves as your gateway to mastering essential programming skills, data management techniques, and networking fundamentals. Join us on this educational journey to become a proficient computer scientist or IT professional.
Join Us in This Computer Science Journey: Thank you for considering the Computer Science 12th course. We look forward to embarking on this educational journey with you and helping you achieve your career aspirations in computer science. See you in the course!
Course Content
Exception Handling in Python
File Handling in Python
Stack
Queue
Sorting
Searching
Understanding Data
Database Concepts
Structured Query Language (SQL)
Computer Networks
Data Communication
Security Aspects
Project Based Learning
Post a Comment