CBSE Class 11 Syllabus 2024 – 25 For Class 11 Computer Science Download Online CBSE Syllabus Class 11 Computer Science Syllabus As per Guidelines.
CBSE पाठ्यक्रम 11th Class Computer Science As Per NCERT
सीबीएसई बोर्ड 11वीं सिलेबस 2024 | CBSE Syllabus 2024 2025 | CBSE Computer Science Syllabus for Class XI | CBSE Class 11 Computer Science Syllabus www.cbse.gov.in
CBSE Latest Syllabus for Class 11 Computer Science is important for students to prepare their study time to time. Here we are provided New Edition CBSE Syllabus 2024. Stay tuned with Us for Get All Subjects Solution Biology MCQ, Physics MCQ, Difference between in Physics, Difference between in Biology
Exam Pattern for Year 2024 – 25
- Competency Focused Questions in the form of MCQs/ Case Based Questions, Source-based Integrated Questions or any other type = 40%
- Select response type questions(MCQ) = 20%
- Constructed response questions (Short Answer Questions/ Long Answer type Questions, as per existing pattern) = 40%
In case you have missed:- NCERT Solutions for Class 11 Computer Science
CBSE Class 11 Computer Science Syllabus 2024 2025
CLASS-XI
- Chapter 1 : Computer System
- Chapter 2 : Encoding Schemes and Number System
- Chapter 3 : Emerging Trends
- Chapter 4 : Introduction to Problem Solving
- Chapter 5 : Getting Started with Python
- Chapter 6 : Flow of Control
- Chapter 7 : Functions
- Chapter 8 : Strings
- Chapter 9 : Lists
- Chapter 10 : Tuples and Dictionaries
- Chapter 11 : Societal Impact
Unit No. | Unit Name | Marks | Theory | Practical |
I | Computer Systems and Organisation | 10 | 10 | 10 |
II | Computational Thinking and Programming – 1 | 45 | 80 | 60 |
III | Society, Law and Ethics | 15 | 20 | |
Total | 70 | 110 | 70 |
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 itemsin 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, cyber trolls and bullying.
- Cyber safety: safely browsing the web, identity protection, confidentiality
- 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