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Syllabus

KVS PGT CS Syllabus 2022-23

1. Computer Systems and Organisation

1 - Introduction To Number System Decimal To Binary Conversion

2 - Number System Class - 1 (Weighted And Unweighted Code, Binary Tricks)

3 - Number System Class (Conversion And BCD Code)

4 - Excess -3 Code and Complements of code

5 - Number System Class 3 (Missing Base and Terms, Gray Code)

6 - Find Missing Terms

7 - Negative Number Representation

7.1 - Floating Point Representation and Logic Family

8 - DE Booth Algo and Logic Gates

9 - DE - NAND, NOR, X OR, X NOR

10 - DE - XOR, XNOR Practice

11 - DE Gate Conversation

12 - DE Boolean Algebra Part 1

13 - DE Digital Electronics Simplification of Boolean Expression

14 - DE Canonical Form of Boolean Expression

15 - DE Dual, Self Dual and Complement of a Boolean Expression

16 - DE K - MAP

17 - Implicants in K-Map and Logic Families

2. Introduction to Computer System

1 - Introduction to Computer

2 - ENIAC, EDVAC, UNIVAC

FOC PDF - 1

FOC PDF - 2, 3

FOC PDF - 4

FOC PDF - 5

FOC PDF - 6

FOC PDF - 7

FOC PDF - 8

FOC PDF - 9

FOC PDF - 10

3. Society, Law and Ethics

3.1 - Digital Footprints, Netiquettes, IPR

3.1 - Digital Footprints, net etiquettes, IPR Notes

3.2 - FOSS, CC, GPL

3.2 - Infringement & Software Licensing Notes

3.3 - Cyber Crime, DoS, DDoS, Hackers

3.4 - Phishing, Pharming, Sniffing

3.4 - Phishing, Pharming, Sniffing, Eavesdropping, Bots etc Notes

3.5 - Active and Passive Cyber Attacks, Ransomeware

3.5 - Types of Cyber Attacks Notes

3.6 - Cyber Security (Malware and Virus)

3.7 - Cyber Security, Worms, Trojan Horse, Spam etc.

3.8 - List of Virus, Antivirus, Cyber Attack, Identity Theft, Hackers, Crackers etc

3.8 - Malware, Viruses, Trojans, Adware Notes

3.6-3.8 - Malware - Virus, Worm, Trojan REVISION

3.9 - Cyber Safety, Cookies

3.10 - Difference Between Cyber Bullying, Cyber Stalking and Cyber Trolls, E-Waste Management

3.11 - IT Act 2000

Vol 3 - Socity, Law and Ethics Complete Notes

4. Emerging Trends

4.1 - AI and Machine Learning

4.2 - ML and NLP

4.3 - Immersive Experience, Augmented and Virtual Reality

4.4 - Robotics, Big Data, IoT, Smart Cities

4.5 - Introduction to Cloud Computing

4.6 - Grid and Utility Computing

4.7 - Block Chain Technology

4.8 - What is Blockchain and How It Works

1 - AI, ML, NLP

2 - Immersive Experience

3 - Big data, IoT, Sensors, Smart Cities

4 - Cloud Computing and Cloud Services

5 - Grid Computing, Block chain technology

6 - Emerging Trends Assignments

Vol 3 - Emerging Trends

5. Societal Impacts

1 - Societal Impacts Notes - 1

Chapter 5 All Topics Cover in Chapter 3

6. Computer Networks

1 - Introduction And Type Of Network

2 - WWW, ISP, URL, DNS Tec.

3 - Server And Topology

4 - Network Model

5 - OSI Model Layers

6 - Application And Presentation Layer Protocol

7 - Protocols and MAC Address

8 - Network Device (Repeater, Hub, Bridge, Switch, Router)

9 - Modem, AM, FM, PM

10 - RJ-11, RJ-45, Twisted Pair And Coaxial Cable

11 - Fiber Optics, Unguided Media (Radio Wave, Microwave, Infrared)

12 - Hamming Weight, Hamming Distance, Hamming Rate

13 - Error Detection Techniques

14 - CRC, Bit Rate, Baud Rate

15 - Bit Rate, Baud Rate Questions, Nyquist And Shannon Theorem

16 - IP4, Range, Host ID, Network ID

17 - Subnet Mask, CIDR

18 - Subnet, Broadcast, Host ID Questions

19 - What is IPv6 & its Notation

20 - Switching Technology

21 - X.25, Frame Relay, STP, RSTP

22 - Token Ring

23 - Mobile Computing

24 - Topology, Cable Layout, Placement of repeater, hub_switch, Network Type, Case Study based Question

25 - Networks Complete Notes PDF

7. Introduction to web services:

1 - Web, Web 2.0 and Web 3.0

2 - Web Designing - Browser Setting

3 - Web Designing - Add-ons, Plug-ins and Categories of Tags

4 - Web Designing - Heading and Font Tags

5 - Web Designing - Formatting and Phrase Tags

6 - Web Designing - Anchor Tag

7 - Web Designing - List in HTML

8 - Web Designing - Table, HR, Comments in HTML

9 - Web Designing Form in HTML

10 - XML - 1

11 - XML - 2

12 - XML - 3

13 - XML - 4

14 - XML - 5

8. Database Management

1 - Introduction to DBMS and MySql

2 - Introduction to SQL

3 - DBMS Tutorial Sql Queries

4 - SQL Queries - In , Between, Or , And, Not Etc

5 - SQL Limit, Like, Aggregate Function

6 - SQL Group by, Having, Subquery and String Function

7 - Numeric Function In SQL

8 - SQL Constraints - NOT NULL, Unique, Primary Key, Default, Check

9 - DBMS - SQL Constraints - Foreign Key, on update cascade, on delete cascade, super key

9. Database concepts and the Structured Query Language

10 - DBMS - Backup and Restore MySql Database, Create table from another table

11 - SQL Join (Natural Join, Inner Join, Equi Join, Outer Join, Semi Join, Anti Join)

12 - Null function, show user details, auto increment and view

13 - case, date and time function in sql

14 - ACID Properties and State of transaction, create new user, change password, grant, revoke

15-Transaction in MySql - TCL

16 - Practice (MCQ, T_F and Fill in the blanks) of MySql, Level of Abstraction and Schema

17 - Database Terms and ER Diagram

18 - Types of Arguments and MySql Python Connectivity

10.Database Query using SQL

All Topics of Chapter 10 already Covered in Chapter - 9

11.Computational Thinking and Programming

1 - Python - Introduction To Python

2 - How To Download, Install And Setup Python

3 - Operators In Python

4 - Concept Of Modulus Operator In Python

5 - Assignment, In Place And Bitwise Operators In Pytho

6 - Comparison, Logical And Identity Operators In Python

7 - Membership Operators, Operator Precedence And Associativity

8 - Python Implementation, IDE and Framework

9-Identifiers In Python, Role Of Underscore In Identifiers

10 - Types of Variables in Python

11-Core Data Types Assignments

12-Numeric Data Types Assignments

13-Bitwise Operator Assignments

14 - Boolean and String Formatting Assignment

15-Use Of %F,%E And %G

16 - Use of %d, %f, %o, %x, %X,%E in Python

17 - format function in Python

18 - Data Types, Mutable and Immutable Types in Python

19 - Type casting and Comments in Python

20 - input, print and eval functions in python

21 - Flow of Execution in Python

22 - Concept of if, elif and else

23 - Leap Year, Calculator and Voting Eligibility Program in Python

24 - Telephone Bill and Grade Program in Python

25 - Number of digits and Order of three Numbers Program in Python

26 - Loops in Python, range() function in Python

27 - find the factorial of a number and print the Fibonacci series in python

28 - Pattern Printing in Python using nested loop

29 - Pattern Printing in Python

30 - break, continue and pass keyword in python

31 - Prime No, while loop, sum and product of digits

32 - Armstrong Number Program in Python

33- Introduction to List and Its Indexing

34 - Operation on List

35 - Functions of List

36 - List Slicing, Functions and Methods

37 - List Function and Methods Part 2

38 - Tuple in Python

39 - Dictionary in Python

40 - Functions and Methods of Dictionary

41 - Python String

42 - String Slicing in Python

43 - String Methods

44 - Bubble Sort in Python

45- Insertion Sort in Python

46 - Built in Function in Python

47- Modules and Functions

48- Modules in Python

49- Modules in Python - 3

50 - User Defined Functions

51 - Types of Arguments

52 - main() function, passing list in a function

53 - Searching in Python

54 - Python Libraries

55 - Python Libraries

56 - Exception Handling in Python Part - 1

57 - Exception Handling in Python Part 2 (finally, raise and assert in Python)

12.Computational Thinking and Programming – 2

1 - Introduction To Data File Handling(DFH) in Python

2 - DFH in Python - File Mode

3 - DFH (Reading Data From File) in Python

4 - DFH (Writing to File) in Python

5- Reading and Writing data to and from Binary File in Python

6 - Create a binary file (Write and read multiple data) in Python

7 - Std File Stream and Programs in Python

8 - tell() and seek() in file in Python

9 - CSV File in Python

10 - Read the contents of CSV File in Python

11 - Write the content in CSV file in Python

12 - Introduction To Data Structure in Python

13 - Stack in Python

14 - Emp, Book and Students Record in Stack in Python

15 - Polish Notation in Stack in Python

13.Introduction to Python

Chapter 13 all contents are already cover in chapter 11

14.Data Handling using Pandas

14.1 - Introduction to Python Pandas and Data Visualization

14.1 - Introduction to matplotlib - pdf

14.2 - Line Chart in matplotlib

14.2 - Line Chart in matplotlib PDF

14.3 - Line Chart - 2

14.3 - Line Chart in matplotlib - 2 PDF

14.4 - Chart Axis, Ticks and Title Formatting

14.4 - Chart Labels, Ticks and Axis Formatting PDF

14.5 - Why use numpy in matplotlib, Bar Chart

14.5 - Numpy function and Bar Chart

14.6 - Bar Chart and Subplot

14.7 - Chart from CSV File and Histogram

14.8 - Histogram

14.8 - Histogram Practice PDF

14.9.1 - Introduction to Python Series - New

14.9.2 - IP (Introduction And Installing of Pandas)

14.9.3 - IP (Series in Pandas)

14.9.1-3 - Introduction to Pandas Series PDF

14.10.1 - Series data and index - New

14.10.2 - Pandas Series (Data and Index) - Old

14.10 - Series data and index PDF (1-2)

14.11.1 - Access Series Elements - New

14.11.2 - IP - Creating Series using List and Scalar

14.11 - Access Series Elements PDF (1-2)

14.12.1 - Series naming, head(), tail() and Attributes - New

14.12.2 - Naming a Series and Creating Series using mathematical expression in Python Pandas

14.2.3- Pandas Series Attributes

14.2.4 - head() and tail() methods of Pandas Series

14.12 - Series Naming, head, tail and Attributes PDF (1-4)

14.13 - Weekly Test Discussion - Vector Operation on Series

14.14 - Important Qus of Pandas Series

14.14 - Series Operation and Sorting PDF

14.15 - Series Sorting and Introduction to DataFrame

14.15 - Introduction to DataFrame PDF

14.16 - DataFrame Using Series, Sorting in DataFrame

14.16 - DataFrame using Series and Sorting in DataFrame PDF

14.17 - Attributes of DataFrame

14.17 - Attributes of DataFrame PDF

14.18 - Accessing and adding rows and columns in DataFrame

14.18 - Access Data from DataFrame PDF

14.19 - Add, remove row and columns, Boolean Indexing in DataFrame

14.19 - Add remove row and columns Boolean Indexing PDF

14.20 - Boolean Operation, min(), max(), mode(), mean(), median()

14.20 - Binary and Stattistics Operations on DF

14.21 - count(), sum(), head(), tail(), missing values Methods of DF

14.21 - count(), sum(), head(), tail(), missing values Methods of DF PDF

14.22 - quantile, std deviation, variance in DataFrame

14.22 - Statistics and Cumulative Methods of DF

14.23,24 - Import Export CSV and DataFrame, Combining DataFrame

14.23 - DataFrame with CSV PDF

14.24 - Merge and Join DataFrame PDF

CS Books PDF

1 - NCERT CS Class 11 Book Intro

2 - NCERT CS Class 11 Book Chapter - 1

3 - NCERT CS Class 11 Book Chapter - 2

4 - NCERT CS Class 11 Book Chapter - 3

5- NCERT CS Class 11 Book Chapter - 4

6- NCERT CS Class 11 Book Chapter - 5

7- NCERT CS Class 11 Book Chapter - 6

8- NCERT CS Class 11 Book Chapter - 7

9- NCERT CS Class 11 Book Chapter - 8

10- NCERT CS Class 11 Book Chapter - 9

11- NCERT CS Class 11 Book Chapter - 10

12- NCERT CS Class 11 Book Chapter - 11

13 - Class 11 CS Term 2 Notes

12 CS Sumita Arora Book PDF

IP Books PDF

1 - NCERT IP Class 11 Book Intro

2 - NCERT IP Class 11 Book Chapter - 1

3 - NCERT IP Class 11 Book Chapter - 2

5 - NCERT IP Class 11 Book Chapter - 4

6 - NCERT IP Class 11 Book Chapter - 5

7 - NCERT IP Class 11 Book Chapter - 6

8 - NCERT IP Class 11 Book Chapter - 7

9 - NCERT IP Class 11 Book Chapter - 8

10 - Class 11 IP Term 2 Notes.pdf

Sample Papers PDF

1 - 12 CS CBSE PYQ

2 - 12 IP CBSE PYQ

Perspectives on Education and Leadership

(a) - Understanding the Learner

1 - Understanding the Learner PDF by Ritu Maa'm

Class - 01 - KVS Notes and Videos - Pedagogy - Concept of growth, maturation and development

1- Childhood and Growing Up

2- Erik Erikson's Theory of Psychosocial Development

3-Mnemonics of all theory of childhood and growing up

4-Short Trick to learn Theory of Multiple Intelligence

(b) - Understanding Teaching Learning

1- Learning And Teaching Important Questions with Trick

2 - What is Teaching

3 - What is Learning, Difference Between Teaching and Learning

1 - Bloom Texonomy Easiest Way to Learn

2 - Flander interaction analysis easiest way 16 marks sure

(d) - School Organization and Leadership

1 - Creating an Inclusive School MCQ

(e) - Perspectives in Education

1- Three Language Formula

2-Right to Education Act 2009

KVS PGT Pedagogy Book

PDF Notes

KVS PGT Pedagogy - 1

KVS Study Guide Books-1

KVS Education Leadership Book

CTET Child Develop Pedagogy Book

NCERT 11th CS New 2019

Sumita Arora 12 CS Book PDF

Networks Complete Notes

IP Class 12 Sample Papers

CS Class 12 Sample Papers

Matplotlib 1-5

CLASS 12 CS KVS Support Material

12_IP_MCQ TERM-I

12_IP-Study Material Term-I

CS_Final_XII (2)

IP_Final_XII

U1-CH-1REVISIONTOUR-1

QP IP SAMPLE PAPERS (1)

QP XII Computer Science (1)

KVS Support Material - Jaipur

11 CS Sumita Arora Book PDF

CLASS 12 CS ALL KV REGION PAPERS 2022-23

CBSE CS term 1 2021-22

CS term2 2021-22

Vol 3 - Computer Network Notes Set - 1

Vol 3 - Socity, Law and Ethics Complete

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