CBSE Class 11 Computer Science Syllabus 2019-20

Check latest CBSE Syllabus for Class 11 Computer Science and download it in PDF format. This syllabus is applicable for the academic session 2019-20.

Created On: May 30, 2019 12:30 IST
CBSE Class 11 Computer Science Syllabus 2019-20
CBSE Class 11 Computer Science Syllabus 2019-20

New CBSE Syllabus for Class 11 Computer Science subject is available here for download in PDF format. CBSE Class 11 Computer Science Syllabus 2019-20 is important for the preparation of this subject. It contains complete details about course content and practicals.

Unit No.

Unit Name






Computer Systems and Organisation





Computational Thinking and Programming





Data Management - 1





Society, Law and Ethics - 1









Unit 1: Computer Systems and Organisation

• Basic  computer organisation:  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 computing.

CBSE Class 11 Syllabus 2019-20: All Subjects

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" program, process ofwriting 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), Clarit & Simplification of expression.

• Introduce the notion of a variable, and methods to manipulate it (concept of L- value and R-value evenif 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,  break points.

• Lists,  tuples  and  dictionary:  finding  the  maximum,  minimum,  mean;  linear search on list/tuple ofnumbers, and counting the frequency of elements in a list using a dictionary. Introduce the notion ofaccessing 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, UPDATE  TABLE , DELETE  FROM,  ALTER TABLE,MODIFY TABLE, DROP TABLE, keys, and foreign keys; to view content of a table: SELECT-FROM- WHERE-ORDER BY alongwith 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 - Cyber safety

• Cyber safety:  safely   browsing   the  web,  identity   protection,   confidentiality, social networks, cyber trollsand bullying

• Appropriate usage of social networks: spread of rumours, 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.

CBSE Class 11 Computer Science Syllabus 2019-20: Detail of Practicals


Unit Name




Lab Test (12 marks)


Python program (60% logic + 20% documentation + 20%  code quality)


SQL program (at least 4 queries)



Report File + viva (10 marks)


Report file: Minimum 20 Python programs and 8 SQL commands


Viva voce (based on the report file)



Project (that uses most of the concepts that have been learnt) (See CS-XII for the rules regarding the projects)


1. Programming in Python: At least the following Python concepts should be covered in the labsessions: 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 xand n, compute xn.

• Compute the greatest common divisor and the least common multiple of two integers.

• 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 covered during 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 idis 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).

Download CBSE Class 11 Computer Science Syllabus 2019-20 in PDF format

Comment ()

Post Comment

6 + 6 =