syllabus

CBSE Class 11 Computer Science Syllabus 2024-25

Central Board of Secondary Education (CBSE) let the students know about the basics of computer programming and data management in class 11th. Studying the computer science subject seriously at school will not only help students in clearing the annual exam but also getting many job opportunities in the future. The CBSE Class 11 Computer Science syllabus 2024-25 is provided below. In this article, we have provided complete syllabus CBSE Class 11th for computer science subject is a detailed manner.

CBSE Class 11 Computer Science Syllabus 2024-25

Here are the details about unit-wise marks and periods allotted to computer science subject of class 11th.

Unit No.Unit NameMarksPeriods
TheoryPractical
IComputer Systems and Organisation101010
IIComputational Thinking and Programming – 1458060
IIISociety, Law and Ethics1520—-
 Total7011070

Unit I: 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 & interpreter), application software
  • Operating system (OS): functions of operating system, OS user interface
  • Boolean logic: NOT, AND, OR, NAND, NOR, XOR, truth table, De Morgan’s laws and 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 – 1

  • Introduction to problem solving: Steps for problem solving (analysing the problem, developing an algorithm, coding, testing and debugging). representation of algorithms using flow chart and pseudo code, 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 operator, augmented assignment operators, identity operators (is, is not), membership operators (in, not in)
  • Expressions, statement, type conversion & input/output: precedence of operators, expression, evaluation of expression, python statement, type conversion (explicit & implicit conversion), accepting data as input from the console and displaying output
  • Errors: syntax errors, logical errors, runtime errors
  • Flow of control: introduction, use of indentation, sequential flow, conditional and iterative flow control
  • Conditional statements: if, if-else, if-elif-else, flowcharts, simple programs: e.g.: absolute value, sort 3 numbers and divisibility of a number
  • Iterative statements: for loop, range function, 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, indexing, string operations (concatenation, repetition, membership & slicing), traversing a string using loops, built-in functions: 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 & slicing), traversing a list using loops, built-in functions: 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 & slicing), built-in functions: 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 dictionary (adding a new item, modifying an existing item), traversing a dictionary, built-in functions: len(), dict(), keys(), values(), items(), get(), update(), del, clear(), fromkeys(), copy(), pop(), popitem(), setdefault(), max(), min(), count(), sorted(), copy(); 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 <module>’ 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 Right (copyright, patent, trademark), violation of IPR (plagiarism, copyright infringement, trademark infringement), open source softwares and licensing (Creative Commons, GPL and Apache)
  • Cyber-crime: definition, hacking, eavesdropping, phishing and fraud emails, ransomware, preventing cyber crime
  • Cyber safety: safely browsing the web, identity protection, confidentiality, cyber trolls and
  • Safely accessing web sites: malware, viruses, trojans, adware
  • E-waste management: proper disposal of used electronic gadgets
  • Indian Information Technology Act (IT Act)
  • Technology & Society: Gender and disability issues while teaching and using computers

Practicals List

S.No.Unit NameMarks (Total=30)
1.Lab Test (12 marks)
 Python program (60% logic + 20% documentation + 20% code quality)12
2.Report File + Viva (10 marks)
 Report file: Minimum 20 Python programs7
Viva voce3
3.Project (that uses most of the concepts that have been learnt) (See CS-XII for the rules regarding the projects)8

Study Materials

  • NCERT Textbook for COMPUTER SCIENCE (Class XI)
  • Support Materials on the CBSE website

CBSE Class 11th New Computer Science Syllabus: Download PDF

Class 11th other Subjects Syllabus

Mohit Verma

Mohit holds a degree in Computer Science Engineering and is truly passionate about writing. He is dedicated towards creative and conceptual writing paradigm. At Edudwar, he writes on various schools and latest news, with special focus on newest & upcoming admissions.

Related Articles

2 Comments

Leave a Reply

Your email address will not be published. Required fields are marked *

Back to top button