CBSE Class 11 Computer Science Syllabus for Board Exam 2026-27, Download Free PDF Here

The Central Board of Secondary Education has now officially released the CBSE Class 11 Computer Science (Code 083) curriculum design and marking scheme for the upcoming academic session of 2026-2027. 

Split into a 70-marks written theory examination and a 30-marks institution-based practical portfolio assessment, this subject aims at introducing students in secondary school to the basics of computer hardware construction, the binary logic of numbering systems, and the syntax and semantics of structural programming languages. 

Check the detailed breakdown of units and learning objectives and also to the comprehensive list of Python programs prescribed by the official central board lab guidelines.

CBSE Class 11 Computer Science Syllabus

Subject Code - 083

Class XI (2026-27)

1. Learning Outcomes

Students should be able to: a) develop basic computational thinking b) explain and use data types c) appreciate the notion of algorithms d) develop a basic understanding of computer systems- architecture and operating system e) explain cyber ethics, cyber safety, and cybercrime f) understand the value of technology in societies along with consideration of gender and disability issues.

2. Distribution of Marks

3. Unit wise Syllabus

Unit 1: Computer Systems and Organisation

• Basic computer organisation: 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, 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 2: Computational Thinking and Programming - I

• Introduction to Problem-solving: Steps for Problem-solving (Analyzing 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(), Istrip(), 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, clear(), fromkeys(), copy(), pop(), popitem(), setdefault(), 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 3: 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:

• 1 + 𝑥 + 𝑥2 + 𝑥3 + 𝑥4 + ⋯ 𝑥n ⮚ 1 − 𝑥 + 𝑥2 − 𝑥3 + 𝑥4 − ⋯ 𝑥n ⮚ 𝑥 + x2 + x3 + x4 + ⋯ xn 2 3 4 n ⮚ 𝑥 + x 2 + x 3 + x 4 + ⋯ x n 2! 3! 4! n! 

• 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
  
  CBSE Class 11 Computer Science Syllabus for Board Exam 2026-27, Download Free PDF Here

As a high school student taking up Computer Science with 100 total marks under CBSE Class 11 (code 083), you must be able to make the most of your knowledge and practical experience in understanding the hardware structure of computers and their software applications. 

Though it is crucial that you score well in theoretical topics such as number system conversions and Boolean algebra, your ultimate grade will entirely depend on your practical ability to execute Python codes during the term-end lab test.