Computer Science With Python For Class 11 CBSE 2021-22

Join the course if you are completely new to the computer world. If you want to know about the latest technology. If you want to learn to program.

Syllabus:

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)

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

● Familiarization with the basics of Python programming: Introduction to Python, features ofPython,

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 itemsin 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

● Introduction to Python modules: Importing module using ‘import <module>’ 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

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