CBSE Computer Science Syllabus | Class 11 & 12 (Updated: 2024)
CBSE Syllabus for Computer Science:
In this section, we will provide you an in-depth details of the CBSE Class 11 and 12 syllabus for Computer Science with Python including the unit wise sections.
CBSE Computer Science Syllabus Class 12 (2024-2025):
Central Board of Secondary Education has released the (2024–25) Class 11 and 12 Computer Science syllabus for the 2025 board exams. It includes course structure, course content, and practical exam which is compulsory to attend for the 2025 board exams.
An updated and detailed (2024-25) syllabus for CBSE Computer Science Class 12. Download and check deleted units the 2025 unit-wise syllabus PDF.
The CBSE Class 11 Computer Science syllabus for the 2023-2024 academic year has three units:
- Computational Thinking and Programming – 1
- Computer Systems and Organization
- Society, Law, and Ethics
The syllabus also includes practical, such as: Python program, Report file, Viva voce, and Project.
The CBSE Class 12 Computer Science syllabus for the 2023-2024 academic year has three units:
- Computational Thinking and Programming – 2
- Computer Networks
- Database Management
The syllabus also includes practical, such as: Python program, Report file, Viva voce, and Project.
CBSE Class 11 Computer Science Marking Scheme 2024-2025
Unit No |
Unit Name |
Marks |
1 |
Computer Systems and Organization |
10 |
2 |
Computational Thinking and Programming -1 |
45 |
3 |
Society, Law, and Ethics |
15 |
Total |
70 |
CBSE Class 12 Computer Science Marking Scheme 2024-2025
Unit No |
Unit Name |
Marks |
1 |
Computer Networks |
10 |
2 |
Computational Thinking and Programming -2 |
40 |
3 |
Database Management |
20 |
Total |
70 |
This Curriculum is taken from CBSE Official Website
All these sections are necessary to complete the syllabus (subject: code 083) for Computer Science with Python class 11th and 12th to pass it successfully.
This subject from CBSE BOARD for class 11th and 12th mainly focuses on learning programming/ coding skills in students, so that a CBSE class 11th and 12th students must have atheist one professional/ technical/ vocational skill for career as backup.
Please ensure the learning of all these sections to get 100% success in our final examination 2024-2025 for this subject.
Here we are presenting full and detailed syllabus structures of Computer Science code 083. This will help you to follow the right learning strategy and become the topper in CBSE examination 2024.
So, let’s dive in and explore the world of Computer Science with Python!.
The syllabus for Computer Science Python in CBSE Class 12 covers topics such as programming concepts, data structures, algorithms, file handling, and more. In this topic, we will explore the syllabus in detail and provide insights into how to prepare for the subject effectively.
This syllabus for CBSE class 11th and 12th (code 083) is combined with the following sections.
1. Learning Outcomes:
Students should be able to
- Develop basic computational thinking
- Explain and use data types
- Appreciate the notion of algorithms
- Develop a basic understanding of computer systems- architecture, operating system, and cloud computing
- Explain cyber ethics, cyber safety, and cybercrime
- Understand the value of technology in societies along with consideration of gender and disability issues.
2. Distribution of Marks:
3. Unit wise Syllabus:
Unit I: Computer Systems and Organization
- Basic computer organization: Introduction to Computer System, hardware, software, input device, output device, CPU, memory (primary, cache and secondary), units of memory (bit, byte, KB, MB, GB, TB, PB).
- Types of software: System software (Operating systems, system utilities, device drivers), programming tools and language translators (assembler, compiler, and interpreter), application software.
- Operating System (OS): functions of the operating system, OS user interface.
- Boolean logic: NOT, AND, OR, NAND, NOR, XOR, NOT, truth tables and De Morgan’s laws, Logic circuits.
- Number System: Binary, Octal, Decimal and Hexadecimal number system; conversion between number systems.
- Encoding Schemes: ASCII, ISCII, and Unicode (UTF8, UTF32).
Unit II: Computational Thinking and Programming – I
- Introduction to Problem-solving: Steps for Problem-solving (Analysing the problem, developing an algorithm, coding, testing, and debugging), representation of algorithms using flowchart and pseudocode, decomposition
- Familiarization with the basics of Python programming: Introduction to Python, Features of Python, executing a simple “hello world” program, execution modes: interactive mode and script mode, Python character set, Python tokens ( keyword, identifier, literal, operator, punctuator), variables, concept of l-value and r-value, use of comments
- Knowledge of data types: Number (integer, floating point, complex), Boolean, sequence (string, list, tuple), None, Mapping(dictionary), mutable and immutable data types.
- Operators: arithmetic operators, relational operators, logical operators, assignment operators, augmented assignment operators, identity operators (is, is not), membership operators (in not in)
- Expressions: statement, type conversion, and input/output: precedence of operators, expression, evaluation of an expression, type-conversion (explicit and implicit conversion), accepting data as input from the console and displaying output.
- Errors: syntax errors, logical errors, and run-time errors
- Flow of Control: introduction, use of indentation, sequential flow, conditional and iterative flow
- Conditional statements: if, if-else, if-elif-else, flowcharts, simple programs: e.g.: absolute value, sort 3 numbers and divisibility of a number.
- Iterative Statement: for loop, range (), while loop, flowcharts, break and continue statements, nested loops, suggested programs: generating pattern, summation of series, finding the factorial of a positive number, etc.
- Strings: introduction, string operations (concatenation, repetition, membership and slicing), traversing a string using loops, built-in functions/methods–len (), capitalize (), title (), lower (), upper (), count (), find (), index (), endswith (), startswith (), isalnum (), isalpha (), isdigit (), islower (), isupper (), isspace (),lstrip (), rstrip (), strip (), replace (), join (), partition (), split ().
- Lists: introduction, indexing, list operations (concatenation, repetition, membership and slicing), traversing a list using loops, built-in functions/methods–len(), list(), append(), extend(), insert(), count(), index(), remove(), pop(), reverse(), sort(), sorted(), min(), max(), sum(); nested lists, suggested programs: finding the maximum, minimum, mean of numeric values stored in a list; linear search on list of numbers and counting the frequency of elements in a list.
- Tuples: introduction, indexing, tuple operations (concatenation, repetition, membership and slicing); built-in functions/methods – len(), tuple(), count(), index(), sorted(), min(), max(), sum(); tuple assignment, nested tuple; suggested programs: finding the minimum, maximum, mean of values stored in a tuple; linear search on a tuple of numbers, counting the frequency of elements in a tuple.
- Dictionary: introduction, accessing items in a dictionary using keys, mutability of a dictionary (adding a new term, modifying an existing item), traversing a dictionary, built-in functions/methods – len(), dict(), keys(), values(), items(), get(), update(), del(), del, clear(), from keys(), copy(), pop(), pop item(), set default(), max(), min(), sorted(); Suggested programs: count the number of times a character appears in a given string using a dictionary, create a dictionary with names of employees, their salary and access them.
- Introduction to Python modules: Importing module using ‘import’ and using from statement, importing math module (pi, e, sqrt(), ceil(), floor(), pow(), fabs(), sin(), cos(), tan()); random module (random(), randint(), randrange()), statistics module (mean(), median(), mode()).
Unit III: Society, Law and Ethics
- Digital Footprints
- Digital Society and Netizen: net etiquettes, communication etiquettes, social media etiquettes.
- Data Protection: Intellectual property rights (copyright, patent, trademark), violation of IPR (plagiarism, copyright infringement, trademark infringement), open-source software and licensing (Creative Commons, GPL and Apache).
- Cyber Crime: definition, hacking, eavesdropping, phishing and fraud emails, ransomware, cyber trolls, cyber bullying.
- Cyber safety: safely browsing the web, identity protection, confidentiality.
- Malware: viruses, trojans, adware.
- E-waste management: proper disposal of used electronic gadgets.
- Information Technology Act (IT Act).
- Technology and society: Gender and disability issues while teaching and using computers
4. Practical:
5. Suggested Practical List: Python Programming:
- Input a welcome message and display it.
- Input two numbers and display the larger / smaller number.
- Input three numbers and display the largest / smallest number.
- Generate the following patterns using nested loops:
- Write a program to input the value of x and n and print the sum of the following series:
- Determine whether a number is a perfect number, an Armstrong number or a palindrome.
- Input a number and check if the number is a prime or composite number.
- Display the terms of a Fibonacci series.
- Compute the greatest common divisor and least common multiple of two integers.
- Count and display the number of vowels, consonants, uppercase, lowercase characters in string.
- Input a string and determine whether it is a palindrome or not; convert the case of characters in a string.
- Find the largest/smallest number in a list/tuple
- Input a list of numbers and swap elements at the even location with the elements at the odd location.
- Input a list/tuple of elements, search for a given element in the list/tuple.
- Create a dictionary with the roll number, name and marks of n students in a class and display the names of students who have marks above 75.
6. Suggested Reading Material:
- NCERT Textbook for Computer Science (Class XI)
- Support Material on CBSE website
Class XII (Code – 083) | Session: 2024 – 2025 | Syllabus
Prerequisites: Computer Science- Class XI
1. Learning Outcomes:
Students should be able to
- Develop basic computational thinking
- Explain and use data types
- Appreciate the notion of algorithms
- Develop a basic understanding of computer systems- architecture, operating system, and cloud computing
- Explain cyber ethics, cyber safety, and cybercrime
- Understand the value of technology in societies along with consideration of gender and disability issues.
2. Distribution of Marks:
3. Unit wise Syllabus:
Unit I: Computational Thinking and Programming – 2
- Revision of Python topics covered in Class XI.
- Functions: types of function (built-in functions, functions defined in module, user defined functions), creating user defined function, arguments and parameters, default parameters, positional parameters, function returning value(s), flow of execution, scope of a variable (global scope, local scope).
- Exception Handling: Introduction, handling exceptions using try-except-finally blocks
- Introduction to files: types of files (Text file, Binary file, CSV file), relative and absolute paths
- Text file: opening a text file, text file open modes (r, r+, w, w+, a, a+), closing a text file, opening a file using with clause, writing/appending data to a text file using write() and writelines(), reading from a text file using read(), readline() and readlines(), seek and tell methods, manipulation of data in a text file
- Binary file: basic operations on a binary file: open using file open modes (rb, rb+, wb, wb+, ab, ab+), close a binary file, import pickle module, dump() and load() method, read, write/create, search, append and update operations in a binary file.
- CSV file: import csv module, open / close csv file, write into a csv file using writer(),writerow(),writerows() and read from a csv file using reader().
- Data Structure: Stack, operations on stack (push & pop), implementation of stack using list.
Unit II: Computer Networks
- Evolution of networking: introduction to computer networks, evolution of networking (ARPANET, NSFNET, INTERNET).
- Data communication terminologies: concept of communication, components of data communication (sender, receiver, message, communication media, protocols), measuring capacity of communication media (bandwidth, data transfer rate), IP address, switching techniques (Circuit switching, Packet switching).
- Transmission media: Wired communication media (Twisted pair cable, Co-axial cable, Fibre-optic cable), Wireless media (Radio waves, Micro waves, Infrared waves).
- Network devices: (Modem, Ethernet card, RJ45, Repeater, Hub, Switch, Router, Gateway, WIFI card).
- Network topologies and Network types: types of networks (PAN, LAN, MAN, WAN), networking topologies (Bus, Star, Tree).
- Network protocol: HTTP, FTP, PPP, SMTP, TCP/IP, POP3, HTTPS, TELNET, VoIP.
- Introduction to web services: WWW, Hyper Text Markup Language (HTML), Extensible Markup Language (XML), domain names, URL, website, web browser, web servers, web hosting.
Unit III: Database Management
- Database concepts: introduction to database concepts and its need.
- Relational data model: relation, attribute, tuple, domain, degree, cardinality, keys(candidate key, primary key, alternate key, foreign key).
- Structured Query Language: introduction, Data Definition Language and Data Manipulation Language, data type (char(n), varchar(n), int, float, date), constraints (not null, unique, primary key), create database, use database, show databases, drop database, show tables, create table, describe table, alter table (add and remove an attribute, add and remove primary key), drop table, insert, delete, select, operators (mathematical, relational and logical), aliasing, distinct clause, where clause, in, between, order by, meaning of null, is null, is not null, like, update command, delete command, aggregate functions (max, min, avg, sum, count), group by, having clause, joins: cartesian product on two tables, equi-join and natural join.
- Interface of python with an SQL database: connecting SQL with Python, performing insert, update, delete queries using cursor, display data by using connect(), cursor(), execute(), commit(), fetchone(), fetchall(), rowcount, creating database connectivity applications, use of %s format specifier or format() to perform queries.
4. Practical:
5. Suggested Practical List:
Python Programming
- Read a text file line by line and display each word separated by a #.
- Read a text file and display the number of vowels/consonants/uppercase/lowercase characters in the file.
- Remove all the lines that contain the character ‘a’ in a file and write it to another file.
- Create a binary file with name and roll number. Search for a given roll number and display the name, if not found display appropriate message.
- Create a binary file with roll number, name and marks. Input a roll number and update the marks.
- Write a random number generator that generates random numbers between 1 and 6 (simulates a dice).
- Write a Python program to implement a stack using list.
- Create a CSV file by entering user-id and password, read and search the password for given userid.
Database Management
- Create a student table and insert data. Implement the following SQL commands on the student table:
- ALTER table to add new attributes / modify data type / drop attribute
- UPDATE table to modify data
- ORDER By to display data in ascending / descending order
- DELETE to remove tuple(s)
- GROUP BY and find the min, max, sum, count and average
- Similar exercise may be framed for other cases.
- Integrate SQL with Python by importing suitable module.
6. Suggested Reading Material:
- NCERT Textbook for COMPUTER SCIENCE (Class XII)
- Support Materials on the CBSE website.
7. Project:
The aim of the class project is to create something that is tangible and useful using Python file handling/ Python-SQL connectivity. This should be done in groups of two to three students and should be started by students at least 6 months before the submission deadline. The aim here is to find a real-world problem that is worthwhile to solve.
Students are encouraged to visit local businesses and ask them about the problems that they are facing. For example, if a business is finding it hard to create invoices for filing GST claims, then students can do a project that takes the raw data (list of transactions), groups the transactions by category, accounts for the GST tax rates, and creates invoices in the appropriate format.
Students can be extremely creative here. They can use a wide variety of Python libraries to create user friendly applications such as games, software for their school, software for their disabled fellow students, and mobile applications, of course to do some of these projects, some additional learning is required; this should be encouraged. Students should know how to teach themselves.
The students should be sensitized to avoid plagiarism and violations of copyright issues while working on projects. Teachers should take necessary measures for this.
FAQ: Frequently Asked Questions
Some Important questions related to CBSE Syllabus for Computer Science Classes.
Q. Is CBSE 2024 syllabus released?
Yes!, Central Board of Secondary Education has released the (2024–25) Class 11 and 12 Computer Science syllabus for the 2025 board exams. It includes course structure, course content, and practical exam which is compulsory to attend for the 2025 board exams.
Q. Is class 11 syllabus reduced in 2024-25?
No.
Q. Is syllabus reduced for class 12 2024?
No.
Q. What is the subject code for Computer Science with Python?
According to the official guidelines of Central Board Of Secondary Education (CBSE), the subject code for Computer Science with python for classes 11th as well as 12th is 083.
Q. What is the CBSE Syllabus for Computer Science Class 12?
Answer: The CBSE Syllabus for Computer Science Class 12 covers topics such as Python programming, databases, data structures, networking, and web development. It also includes practical that involve programming assignments, problem solving, and database development.
Q. How is the CBSE Syllabus for Computer Science Class 12 structured?
Answer: The CBSE Syllabus for Computer Science Class 12 is divided into two parts – Theory and Practical. The Theory part covers 70 marks while the Practical part covers 30 marks. The Theory part includes 11 chapters, and the Practical part involves programming assignments and practical exams.
Q. Is it necessary to have prior programming experience to study the CBSE Syllabus for Computer Science Class 12?
Answer: No, it is not necessary to have prior programming experience to study the CBSE Syllabus for Computer Science Class 12. The syllabus starts with the basics of Python programming and gradually progresses to advanced topics. However, having some familiarity with programming concepts can be helpful.
Q. What are the benefits of studying the CBSE Syllabus for Computer Science Class 12?
Answer: Studying the CBSE Syllabus for Computer Science Class 12 can offer several benefits, such as:
- Learning important programming skills that can be useful in various industries
- Developing problem-solving skills
- Understanding the basics of data structures, databases, and networking
- Gaining practical experience through programming assignments and practical exams
- Preparing for competitive exams like JEE and NEET.
Q. What is the best way to prepare for the CBSE Syllabus for Computer Science Class 12?
Answer: The best way to prepare for the CBSE Syllabus for Computer Science Class 12 is to:
- Read the textbooks and study materials thoroughly
- Practice programming assignments and solve sample papers
- Attend practical classes and labs
- Seek help from teachers or tutors when needed
- Stay updated with the latest developments in the field.
By following these guidelines, students can prepare effectively for the CBSE Syllabus for Computer Science Class 12 and achieve good results.
Q. How many chapters are there in computer science Python class 11?
Answer: It clearly depends on the book, you are using in your school. However, there are several recommended books for studying computer science with Python for CBSE Class 11. Here are a few popular choices:
- “Computer Science with Python” by Sumita Arora:
- “Python: The Textbook” by N. B. Venkateswarlu:
- “Python for Class 11: CBSE and NCERT” by Dheeraj Mehrotra:
- “A Textbook of Python Programming” by Preeti Arora:
In computer Science Class 11th, mostly in India teachers are using the book “Computer Science with Python” by Sumita Arora” of Dhanpat Rai & Co. publication.
As of my knowledge, the writer in this book has divided the complete syllabus for class 11th into three (3) units which are given below.
- Unit I: Computer Systems and Organization
- Unit II: Computational Thinking and Programming – I
- Unit III: Society, Law and Ethics
All these units have 5 chapter in each to learn.
It means there are total 15 Chapters in computer science Python class 11.
However, please note that syllabus and curriculum may be subject to change. It’s always best to refer to the official CBSE website or consult the latest curriculum documents for the most accurate and up-to-date information.
Q. How many chapters are there in computer science Python class 12?
Answer: It clearly depends on the book, you are using in your school. However, there are several recommended books for studying computer science with Python for CBSE Class 12. Here are a few popular choices:
- “Computer Science with Python” by Sumita Arora:
- “Python: The Textbook” by N. B. Venkateswarlu:
- “Python for Class 11: CBSE and NCERT” by Dheeraj Mehrotra:
- “A Textbook of Python Programming” by Preeti Arora:
In computer Science Class 11th, mostly in India teachers are using the book “Computer Science with Python” by Sumita Arora” of Dhanpat Rai & Co. publication.
As of my knowledge, the writer in this book has divided the complete syllabus for class 12th into three (3) units which are given below.
- Unit I: Computational Thinking and Programming – 2
- Unit II: Computer Networks
- Unit III: Database Management
All these units have 5 chapter in each to learn.
It means there are total 15-16 Chapters in computer science Python class 12.
However, please note that syllabus and curriculum may be subject to change. It’s always best to refer to the official CBSE website or consult the latest curriculum documents for the most accurate and updated information.