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25-06-2021, 12:36

Computer Science With Python For Class 11 CBSE 2021-22

Category: Tutorials


Computer Science With Python For Class 11 CBSE 2021-22
Computer Science With Python For Class 11 CBSE 2021-22
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 34 lectures (15h 43m) | Size: 4.64 GB

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Computer Science With Python For Class 11 | Covers Latest 2021-22 Syllabus | CBSE
What you'll learn:
This course is designed for Class 11 students of CBSE Board. Students will learn about latest computer technologies and learn Python programming basics.
Basics concepts of Information Technology and Basics of Python Programming.

Requirements
Students should be able to create a Word file, save, browse, play songs in the computer.

Description
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:

● 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)

● Emerging trends: Cloud computing, cloud services (SaaS, IaaS, PaaS), blockchains, Artificial

Intelligence (AI), Machine Learning (ML), Internet of Things

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 of

Python, 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 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)

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

Who this course is for
Class 11 CBSE Students. Anyone who is new to computers.
Beginner Information Technology Students and Python Developers

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