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Computer Science Syllabus 11th

The document outlines the syllabus for Class 11 Computer Science for the academic years 2025-2026, covering topics such as computer organization, problem-solving, and programming in Python. It includes units on computational thinking, data types, control flow, and societal impacts of technology, along with practical assessments. The curriculum emphasizes both theoretical knowledge and practical skills, including project work and understanding of digital ethics and cyber safety.

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0% found this document useful (0 votes)
83 views4 pages

Computer Science Syllabus 11th

The document outlines the syllabus for Class 11 Computer Science for the academic years 2025-2026, covering topics such as computer organization, problem-solving, and programming in Python. It includes units on computational thinking, data types, control flow, and societal impacts of technology, along with practical assessments. The curriculum emphasizes both theoretical knowledge and practical skills, including project work and understanding of digital ethics and cyber safety.

Uploaded by

sharmavinay4697
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Download as PDF, TXT or read online on Scribd
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Computer Science
CLASS-11
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Unit I: Chapter 1 : ● Basic Computer Organisation: Introduction to computer system, 10
Computer System hardware, software, input device, output device, CPU, memory
Computer
(primary, cache and secondary), units of memory (Bit, Byte, KB, MB,
Systems and Chapter 2 :
GB, TB, PB)
Organisation Encoding
Schemes and ● Types of software: system software (operating systems, system
Number System utilities, device drivers), programming tools and language translators
(assembler, compiler & interpreter), application software
Chapter 3 :
Emerging Trends ● 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: Chapter 4 : ● Introduction to problem solving: Steps for problem solving 45
Computational Introduction to (analysing the problem, developing an algorithm, coding, testing and
Thinking and Problem Solving debugging). representation of algorithms using flow chart and pseudo
Programming–1 code, decomposition
Chapter 5 :
Getting Started ● Familiarization with the basics of Python programming: Introduction
with Python to Python, features of Python, executing a simple "hello world"
program, execution modes: interactive mode and script mode, Python
Chapter 6 : Flow
character set, Python tokens (keyword, identifier, literal, operator,
of Control
punctuator), variables, concept of l-value and r-value, use of
Chapter 7 : comments
Functions ● Knowledge of data types: number (integer, floating point, complex),
boolean, sequence (string, list, tuple), none, mapping (dictionary),
Chapter 8 :
mutable and immutable data types
Strings
● Operators: arithmetic operators, relational operators, logical
Chapter 9 : Lists
operators, assignment operator, augmented assignment operators,
Chapter 10 : identity operators (is, is not), membership operators (in, not in)
Tuples and
● Expressions, statement, type conversion & input/output:
Dictionaries
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, Chapter 11 : ● Digital Footprints 15


Law and Ethics Societal Impac
● 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 software's 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
Practical
S.No. Unit Name Marks

1 Lab Test: Python program (60% logic + 20% documentation + 20% code quality) 12
Report file: Minimum 20 Python programs 7
2
Viva 3
3 Project (that uses most of the concepts that have been learnt) 8
(See CS-XII for the rules regarding the projects)

Total 30

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