CBSE Class 11 Computer Science 2022 For Term 1 & Term 2 | Syllabus, NCERT Solutions, Question Papers, Notes

CBSE Class 11 Computer Science
CBSE Class 11 Computer Science 2022 For Term 1 & Term 2: Computer Science is the study of computers and computational systems. Unlike electrical and computer engineers, computer scientists deal mostly with software and software systems; this includes their theory, design, development, and application.
In this article, we have provided the complete details CBSE Class 11 Computer Science 2022 For Term 1 & Term 2.

CBSE Class 11 Computer Science Books 2022 For Term 1 & Term 2

NCERT books are considered to be the best choice for preparation but it is advisable to refer other books for a better understanding of the subject. Here the list of some CBSE Class 11 Computer Science Books that are considered by the students while preparing for the Computer Science examination.

Click The Links from below to Get CBSE Class 11 Computer Science 2022 For Term 1 & Term 2

CBSE Computer Science For Class – XI By Reeta Sahoo, Gagan Sahoo

S Chand’s Computer Science For Class XI

Computer Science For Class-XI Study Cum Support Material

NCERT Textbook Computers And Communication Technology Part-2 For Class-11

NCERT Textbook Computers And Communication Technology Part-1 For Class-11

NCERT Computers and Communication Technology Part I Class XI

NCERT Computers and Communication Technology Part II Class XI

CBSE Class 11 Computer Science Syllabus 2022 For Term 1 & Term 2

Knowing the syllabus will help you to get an idea about the topics they are going to study for the academic year 2021-2022. After you study all the topics mentioned in the CBSE Class 11 Computer Science Syllabus then you can score a good percentile in their Class 11 CBSE board Computer Science Exam.

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)
  • Emerging trends: Cloud computing, cloud services (SaaS, IaaS, PaaS), blockchains, Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT)
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
  • 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
  • Sorting techniques: Bubble and Insertion sort
  • 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 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
    bullying.
  • 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

CBSE Class 11 Computer Science NCERT Solutions 2022 For Term 1 & Term 2

CBSE recommends NCERT books and most of the questions do come from NCERT textbooks. NCERT solutions are up to date based on the textbooks, with the latest modifications as per the CBSE 11th Computer Science syllabus. CBSE 11th NCERT solutions are the best books to follow as they are specifically designed for CBSE classes. These NCERT Class 11 Computer Science books contain chapter-wise questions and answers.

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NCERT Solutions For Class 11 Computer Science

CBSE Class 11 Computer Science Sample Question Papers 2022 For Term 1 & Term 2

After finishing the entire Class 11 syllabus, it is a good thing to solve the question papers in a timely manner. This will help the students to improve their speed of answering too. CBSE releases sample question papers every year for the students so that their preparation could become much better as well to get used to the format of the question paper.

You should have the following materials to find the complete question papers related to CBSE 11th Exam

Oswaal CBSE Sample Question Paper Class 11 Computer Science Book 

Oswaal CBSE Sample Paper Class 11 Political Science Book

CBSE Class 11 Computer Science Previous Year Papers 2022

Solving the question papers that are released by the CBSE during the same year as well as solving the previous year question papers helps to a great extent. It will help to develop the speed and understand the question and respond quickly. This will help where you stand, your strengths, and where you need to focus for further preparation.

We have covered a detailed guide on CBSE 11th Computer Science 2022 For Term 1 & Term 2. Feel Free to ask any questions in the comment section below.

FAQs On CBSE Class 11 Computer Science 2022 For Term 1 & Term 2

What is the syllabus of computer science in class 11?

You can refer to the above article.

Is Computer Science hard in class 11?

Class 11 Computer Science is definitely easier than its counterparts like Maths, Physics, and Chemistry.

How many chapters are there in CBSE computer science class 11?

As there are 4 units in 11th class computer including 38 chapters. 

Can I take computer science only in 11th?

No need to take any computer subject at 11th or 12th standard. There is no such compulsion.

Are there maths in computer science?

Math is an essential component of computer science that underpins computing and programming concepts. Without it, you would find it challenging to make sense of abstract language, algorithms, data structures, or differential equations.

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