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Computer Science With Python For Class 11 CBSE 2021-22

Name: Computer Science With Python For Class 11 CBSE 2021-22
Rating: 4.0 (30 reviews)

Computer Science With Python For Class 11 | Covers Latest 2021-22 Syllabus | CBSE

Created byGyan Prakash Tiwary

Last updated 12/2021

English

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.

Course content

3 sections • 88 lectures • 36h 34m total length

Hardware and Software6:08
Computer Components and Organization24:02
Input-Output (I/O) Unit in Computer12:46
The Central Processing Unit (CPU)8:03
RAM, ROM and Cache Memory32:11
Storage Unit HDD, CD, DVD, Flash, Blu-ray15:46
System Bus3:07
Evolution of Computers20:06
Microprocessors and Microcontrollers21:27
Mobile System Organization5:52
Types of Software (Application, System and Utility)27:19
Device Drivers in System Software6:19
programming tools and language translators (assembler, compiler & interpreter)36:57
Number System | Numbers in Base 2, 8 and 161:57:11
Number System _ Binary Addition8:20
Encoding Schemes | ASCII, UTF8, UTF32, ISCII and Unicode23:58
Boolean Logic | OR AND NAND NOR XOR NOT truth table De Morgan's laws2:13:48
Operating System (OS) | Need for an OS | Functions of OS | User Interface1:06:14
Cloud Computing | Cloud Services (SaaS PaaS IaaS) | Public and Private Cloud34:01
Blockchain Technology and its Applications29:27
Chapters:
00:00 What is Blockchain Technology? How it works?
15:08 Blockchain Technology Keyterms
22:40 various steps in Blockchain Technology
25:43 List of applications using Blockchain Technology
27:23 Benefits of Blockchain Technology
Artificial Intelligence (AI) and Machine Learning (ML)27:19
Chapters:
00:00 Introduction to Artificial Intelligence
04:44 Machine Learning
11:13 Natural Language Processing (NLP)
14:51 Immersive Experiences
16:48 Virtual Reality
18:09 Augmented Reality
22:23 Robotics
Big Data11:47
Internet of Things (IOT)14:23

Steps for problem solving analysing the problem, developing an algorithm, coding28:38
Problem Decomposition10:13
Representation of Algorithms Using Flow Chart and Pseudo Code58:13
Chapters:
00:00 What is an Algorithm?
04:58 Components of an Algorithm
05:55 Characteristics of Good Algorithm
10:12 Representation of Algorithm (Flowchart and Pseudocode)
12:24 Flowchart
44:00 Pseudocode
49:15 Verifying Algorithms (Dry run and Test Tables)
56:15 Comparing Two Algorithms
Python 3.9 Installation in Windows 10 and Ubuntu4:51
History of Python | Why Python is Called Python | Guido van Rossum5:26
Features of Python17:58
A Simple "Hello World" Program,Execution Modes: interactive mode and script mode8:26
Python Character Set5:31
Python tokens (keyword, identifier, literal, operator, punctuator)1:16:38
Chapters:
00:00 Introduction to Tokens in Python
04:00 Keywords
05:50 Identifiers
07:32 Identifier Forming Rules
13:42 Literals and Values in Python
17:10 String Literals in Python
19:20 Non-Graphic Characters and Escape Sequence
26:05 Single Line Strings and Multiline Strings in Python
32:49 Size of Strings in Python
38:35 Numeric Literals in Python
42:33 Integer Literals in Python
45:51 Decimal Integer Literals in Python
46:21 Octal Integer Literals in Python
49:09 Hexadecimal Integer Literals in Python
50:57 Floating-Point Literals in Python Fractional and Exponent Form
01:03:10 Boolean Literals
01:04:44 Special Literal None
01:06:35 Operators in Python
01:14:04 Punctuators in Python
Variables, Concept of L-value and R-value33:41
Chapters:
00:00 Variables in Python
05:44 Creating a Variable
07:49 Primitive and Reference Variable
11:35 concept of l-value and r-value
17:33 Multiple Assignments
26:38 Variable Definition
28:17 Dynamic Typing
32:13 Type of a variable
Comments in Python | Single line and Multi line Comments7:19
Chapters:
00:00 Introduction to comments in Python & Single Line Comments
03:25 Multiline comments and DocString in Python
Taking Input in Python 3.912:32
print() Function | Output in Python | Different ways to use print() Function10:48
Simple Programs in Python for Beginners16:53
Knowledge of data types: number, boolean, string, list, tuple, none, dictionary48:53
Mutable and Immutable Data Types in Python24:55
Operators in Python : From Beginner to Pro2:04:39
Computer Science With Python For Class XI (11): https://www.youtube.com/playlist?list=PL6pxHmHF3F5IUemscO2BONPyNEctDGVaR
Chapters:
0:00 Introduction
2:44 Arithmetic Operators
2:53 Binary vs Unary Arithmetic Operators
3:36 Different Types of Binary Arithmetic Operators
5:14 Unary Arithmetic Operators Unary + and Unary -
8:48 Addition Operator
10:05 Addition Operator as Concatenation Operator
12:04 Subtraction Operator
13:14 Multiplication Operator
14:48 Multiplication Operator as Replication Operator
16:55 Division Operator
18:50 Floor Division Operator
21:33 Modulus Operator
25:38 Exponentiation Operator
29:09 Division, Floor Division and Modulus Operators With Negative Operands
37:15 Augmented Assignment Operators
40:44 Relational Operators
43:23 Relational Operators With String List and Tuple
01:02:49 Identity Operators
01:15:28 Logical Operators
01:16:08 or Operator
01:27:33 and Operator
01:34:53 not Operator
01:39:26 Chained Comparison Operators
01:43:05 Bitwise Operators
01:46:49 Bitwise and Operator
01:50:33 Bitwise or Operator
01:53:16 Bitwise xor Operator
01:56:34 Bitwise not complement Operator
02:00:17 Membership (in, not in) Operators
Precedence and Associativity of Operators in Python12:13
Expressions and Evaluation of Expression28:51
Python Type Conversion (Explicit & Implicit Conversion)|Also Called Type Casting11:08
Errors: Syntax Errors, Logical Errors, Runtime Errors20:03
Chapters:
0:00 Introduction
1:26 Compile Time Errors
3:02 Run-Time Errors
4:27 Logical Errors
6:10 Exceptions
9:28 Types of Compile Time Errors
9:59 Syntax Errors
11:55 Semantic Errors
14:29 Something More About Exceptions
17:00 Debugging
Flow of control: introduction, indentation, sequential, conditional, iteration18:00
Chapters:
0:00 Introduction
2:44 Different Types of Statements
3:38 empty statement (pass)
6:51 Simple Statement
7:34 Compound Statements and Use of Indentation
11:14 Statement Flow Control
11:29 Sequential Flow of Control
12:23 Conditional Flow of Control
14:22 Iteration Flow of Control
Conditional statements: if, if-else, if-elif-else, flowcharts, simple programs47:39
Chapters:
0:00 if Statement in Python
13:20 if-else Statement in Python
22:58 if-elif Statement in Python
34:25 Nested if Statement
36:30 Python Program to Sort 3 Numbers
43:19 Storing if Condition in a variable
range() Function in Python13:27
Python Program to Calculate Absolute Value if a Number5:17
Write a Python Program to Input and Sort Three Numbers Using if-else6:26
Write a Python Program to Check Divisibility of a Number4:52
for Loop And while Loop in Python33:20
Chapters:
00:11 Introduction to Iteration or Looping Statements
02:15 for Loop in Python
14:34 while Loop in Python
Nested Loop in Python15:13
break, continue And else Statements in for Loop and while Loop26:58
A Python Program to Calculate Factorial of a Positive Number11:10
Pattern Printing in Python Using For Loop and While Loop | Learn Conceptually1:08:48
Summation of Series42:04
Chapters:
00:00 Introduction
02:21 1 + x + x^2 + x^3 + ..... + x^n
10:26 1 - x + x^2 - x^3 + ...... x^n
12:18 x + (x^2)/2! + (x^3)/3! + ...... + (x^n)/n!
15:54 x - (x^2)/2! + (x^3)/3! - (x^4)/4! + ...... + (x^n)/n!
18:43 x - (x^2)/2 + (x^3)/3 - (x^4)/4 + ...... + (x^n)/n
20:02 1 + 1/8 + 1/27 + 1/64 + 1/125
22:42 1, 4, 7, 10, ... 40
22:56 1, -4, 7, 10, ..... 40
27:21 2/9 - 5/13 + 8/17 .....
32:57 1^2 + 3^2 + 5^2 + .....
35:38 (1) + (1+2) + (1+2+3) + (1+2+3+4) + ....... + (1+2+3+...+n)
39:42 1 + 1/1! + 1/2! + 1/3! + ..... + 1/n!
Printing Fibonacci Series in Python Using Loops5:49
String Introduction, Indexing & Immutability5:33
Traversing a String Using for and while Loops6:16
String Operations in Python17:59
Chapters:
00:00 Introduction
00:17 String Concatenation + Operator in Python
03:52 String Replication * Operator in Python
07:08 Membership Operators with String in Python
09:28 Comparison (Relational) Operators with String in Python
String Slicing in Python8:59
Various String Functions (Methods) in Python49:18
Chapters:
00:00 Introduction
01:38 len() Method
02:58 list() Method
04:15 Capitalize() Method
07:53 count() Method
11:34 find() Method
15:07 index() Method
16:23 isalnum() Method
19:17 isalpha() Method
21:09 isdigit() Method
22:29 islower() Method
24:41 isspace() Method
26:47 isupper() Method
27:56 lower() Method
30:09 upper() Method
30:53 lstrip(), rstrip() and strip() Methods
34:49 startswith() and endswith() Methods
37:19 title() Method
38:41 istitle() Method
39:43 replace() Method
41:14 join() Method
44:04 split() Method
46:03 partition() Method
List Introduction, Indexing And Mutability34:15
Chapters:
00:00 Introduction to Lists
03:35 Various Ways of Creating Lists
03:48 List Display Method
07:07 Creating Lists With the list() Method
11:43 Input a List From Keyboard Using eval() Method
17:21 Length of a List - len() Method
19:25 Accessing Various List Elements
21:43 Accessing Last Element of a List
26:28 Formal Definition of a List
27:40 List is a Heterogeneous Data Type
30:01 How Lists are Mutable Data Type
Traversing a List Using Loops3:38
List Operations in Python (Concatenation, Repetition, Membership)34:36
Chapters:
00:00 Introduction
00:24 List Joining
06:39 List Repetition
08:03 List Slicing
19:20 Creating a List Using Another List
25:15 Comparison (Relational) Operations on Lists (Comparing Two Lists)
List Built-In Functions43:58
Chapters:
00:00 Introduction
00:24 len() Function
03:50 list() Function
08:07 index() Function
09:46 append() and extend() Functions
15:00 insert() Function
22:31 pop() Function
24:24 remove() Function
26:58 clear() Function
29:28 count() Function
30:57 sort() Function
34:31 sorted() Function
39:27 Difference Between sort() and sorted() Methods Functions
40:03 max(), min() and sum() Functions
Nested Lists | Two Dimensional Lists in Python26:35
Tuples Introduction, Indexing, Creation, Display and Immutability31:39
Tuple Operations (concatenation, repetition, membership & slicing)25:12
Tuple Functions: len(), tuple(), count(), index(), sorted(), min(), max(), sum()16:03
Nested Tuples in Python5:22
Introduction to Dictionary in Python | Dictionary is a Set11:21
Various ways of Creating Dictionary in Python15:57
Chapters:
00:00 Introduction
00:16 Initializing a Dictionary
04:22 Create dictionary in Python using the dict() Method
14:05 More ways to create dictionary in Python
Accessing Dictionary Values (Elements) in Python14:58
Chapters:
00:00 Accessing Elements of a Python Dictionary
02:26 Listing various keys and values of a Dictionary keys() & values() Methods
04:18 Traverse through various elements of a Dictionary using for loop.
09:35 Pretty Printing a Dictionary using JSON
11:26 Nested Dictionary
Python Dictionary Built-In Functions (Methods)1:04:45
Chapters:
00:00 Introduction
00:18 The len() Function (Method)
04:11 The get() Function (Method)
07:26 The items() Function (Method)
11:52 The keys() Function (Method)
13:44 The values() Function (Method)
14:43 The fromkeys() Function (Method)
21:32 The setdefault() Function (Method)
25:01 The update() Function (Method)
28:46 The copy() Function (Method) | Concept of shallow copy and deep copy
49:32 The pop() Function (Method)
53:57 The popitem() Function (Method)
55:19 The clear() Function (Method)
56:22 The sorted() Function (Method)
01:00:29 The max(), min() & sum() Functions (Methods)
Python Program for Finding the Maximum, Minimum, Mean of List and Tuple17:26
Python Program for Linear Search in List and Tuple11:06
Python Counting Frequency of Elements in List, Tuple and String7:07
Creating Python Dictionary With Employee Name and Salary7:17
Creating and Using Python Modules33:25
Readymade Python Modules (Math, Random and Statistics Modules)17:59
Introduction to Sorting | Bubble Sort26:47
Insertion Sort21:09

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:

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

Who this course is for:

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

Computer Science With Python For Class 11 CBSE 2021-22

What you'll learn

Explore related topics

Course content

Computer Systems and Organization23 lectures • 11hr 27min

Computational Thinking and Programming – 160 lectures • 23hr 46min

Society, Law and Ethics5 lectures • 1hr 23min

Requirements

Description

Who this course is for: