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||
|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||—|
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
- 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,
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 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
|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
- 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.
|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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