** UPDATED CBSE Class 11 Computer Science Syllabus (2019-20) in PDf

    CBSE Class 11 Computer Science Syllabus
    CBSE Class 11 Computer Science Syllabus

    Hi friends, today we are going to discuss the latest CBSE Class 11 Computer Science Syllabus. As you know very well that Central Board of Secondary Education (CBSE) has its own curriculum and they hold the supreme authority to change it further for the benefit of students.

    So it’s always a wise decision to keep an eye on what happening around with the subject you are going to learn. This year CBSE made little bit changes in Class 11 Computer Science Syllabus. Let us have a look at the updated CBSE Class 11 Computer Science Syllabus for the academic year 2019-20.

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    CBSE Class 11 Computer Science Syllabus (2018-19)

    Check out the latest CBSE Class 11 Computer Science Syllabus. The syllabus is for the academic year 2019-20 session and will remain the same until the next notification. students are advised to check out the complete syllabus.

    Unit No. Unit Name Marks


     –  – –  Theory Practical
    1 Computer Systems and Organisation 10 10 2
    2 Computational Thinking andProgramming 35 60 45
    3 Data Management – 1 15 30 23
    4 Society, Law, and Ethics – 1 10 10
      Total 70 110 70

    Class 11 Computer Science Syllabus (Detailed)

    Unit 1: Computer Systems and Organisation

    • Basic computer organization: description of a computer system and mobile
      system, CPU, memory, hard disk, I/O, battery.
    • Types of software: application, System, utility.
    • Memory Units: bit, byte, MB, GB, TB, and PB.
    • Boolean logic: OR, AND, NAND, NOR, XOR, NOT, truth tables, De Morgan’s laws
    • Information representation: numbers in base 2, 8, 16, binary addition
    • Strings: ASCII, UTF8, UTF32, ISCII (Indian script code), Unicode
    • Basic concepts of Flowchart
    • Concept of Compiler & Interpreter
    • Running a program: Notion of an operating system, how an operating system
      runs a program, idea of loading, operating system as a resource manager.
    • Concept of cloud computing, cloud (public/private), introduction to parallel

    Unit 2: Computational Thinking and Programming

    Basics of Computational Thinking: Decomposition, Pattern Recognition/ Data
    representation, Generalization/ Data Abstraction, and algorithm.
    Familiarization with the basics of Python programming: a simple “hello world”
    a program, process of writing a program (Interactive & Script mode), running it, and print
    statements; simple data-types: integer, float, string

    • Features of Python, Python Character Set, Token & Identifiers, Keywords,
      Literals, Delimiters, operators.
    • Comments: (Single line & Multiline/ Continuation statements), Clarity &
      Simplification of expression.
    • Introduce the notion of a variable, and methods to manipulate it (concept of Lvalue and R-value even if not taught explicitly).
    • Knowledge of data types and operators: accepting input from the console,
      assignment statement, expressions, operators and their precedence.
    • Operators & types: Binary operators-Arithmetic, Relational operators, Logical
      Operators, Augmented Assignment operators.
    • Conditional statements: if, if-else, if-elif-else; simple programs: e.g.: absolute
      value, sort 3 numbers,and divisibility.
    • Notion of iterative computation and control flow: for(range(),Len()), while,
      flowcharts, suggested programs: interest calculation and factorials, etc.
    • Idea of debugging: errors and exceptions; debugging: PDB, breakpoints.
    • Lists, tuples, and dictionary: finding the maximum, minimum, mean; linear
      search on list/tuple of numbers, and counting the frequency of elements in a list
      using a dictionary. Introduce the notion of accessing elements in a collection
      using numbers and names.
    • Sorting algorithm: bubble and insertion sort; count the number of operations
      while sorting.
    • Strings: Traversing, compare, concat, substring.
    • Introduction to Python modules: Importing math (sqrt, cell, floor, pow, fabs, sin,
      cos, tan, random (random, randint, randrange), statistics (mean, median,
      mode) modules.

    Unit 3: Data Management

    • Relational databases: Concept of a database, relations, attributes, and tuples,
      keys- candidate key, primary key, alternate key, foreign key; Degree and
      cardinality of a table.
    • Use SQL – DDL/ DML commands to CREATE TABLE, INSERT INTO,
      TABLE, keys, and foreign keys; to view content of a table: SELECT-FROM WHERE-ORDER BY along with BETWEEN, IN, LIKE, (Queries only on single table)
    • Aggregate functions – MIN, MAX, AVG, COUNT, SUM
    • Basics of NoSQL databases.

    Unit 4: Society, Law, and Ethics – Cybersafety

    • Cyber safety: safely browsing the web, identity protection, confidentiality,
      social networks, cyber trollsand bullying
    • Appropriate usage of social networks: spread of rumors, and common social
      networking sites (Twitter, LinkedIn, and Facebook) and specific usage rules.
    • Safely accessing web sites: adware, malware, viruses, Trojans
    • Safely communicating data: secure connections, eavesdropping, phishing and
      identity verification.


    S. No Unit Name Marks (Total=30)
    1. Lab Test (12 marks)
    Python program (60% logic + 20% documentation + 20% code quality) 8
    SQL program (at least 4 queries) 4
    2 Report File + viva (10 marks)
    Report file: Minimum 20 Python programs and 8 SQL commands 7
    Viva voce (based on the report file) 3
    3 Project (that uses most of the concepts that have been learnt) (See CS-XII for the rules regarding the projects) 8


    1. Programming in Python: At least the following Python concepts should be
    covered in the lab sessions: expressions, conditionals, loops, list, dictionary,
    and strings. The following are some representative lab assignments.

    • Find the largest and smallest numbers in a list.
    • Find the third largest number in a list.
    • Test for primarily.
    • Find whether a string is a palindrome or not.
    • Given two integers x and n, compute xn
    • Compute the greatest common divisor and the least common multiple of two
    • Test if a number is equal to the sum of the cubes of its digits. Find the smallest
      and largest such numbers.

    2. Data Management: SQL Commands At least the following SQL commands
    should be coveredduring the labs: create, insert, delete, select, and join. The
    following are some representative assignments.

    • Create a student table with the student id, name, and marks as attributes
      where the student id is the primary key.
    • Insert the details of a new student in the above table.
    • Delete the details of a particular student in the above table.
    • Use the select command to get the details of the students with marks more
      than 80.
    • Create a new table (name, date of birth) by joining two tables (student id,
      name) and (student id, date of birth).
    • Create a new table (order ID, Customer Name, and order Date) by joining two
      tables (order ID, customer ID, and order Date) and (customer ID, customer
      Name, Contact Name, country).

    Class 11 Computer Science Syllabus in Pdf

    Here in this Section we have mentioned the CBSE Class 11 Computer Science Syllabus in PDf format. Students Can Check the Class 11 Computer Science Syllabus for the academic year 2019-20.

    Important Links

    S.No. Contents Links
    1 CBSE Class 11 Study Materials Click Here
    2 CBSE Class 11 Important Books Click Here
    3 CBSE Class 11 Sample Paper Click Here
    4 CBSE Class 11 Syllabus Click Here
    5 CBSE Class 11 Previous Year Paper Click Here
    6 CBSE Class 11 Work Sheet Click Here
    7 CBSE Class 11 Holiday Homework Click Here
    8 CBSE Class 11 NCERT Solution Click Here

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    Best of Luck Student…!!!

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    ** UPDATED CBSE Class 11 Computer Science Syllabus (2019-20) in PDf
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