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​Computer Science ( CS ), Computer Science Engineering ( CSE ) - Ever - Evolving, Technological, Digital Driven, Educational Learning Scape :
Computer Science ( CS ) is one of the most creative and innovative developments of human evolution. The need to better manage the human societies and the ensuing interactions with the external environment has propelled us into the direction of hyper technological developments. Man-kind has developed global inter-connected web or network called "Internet", that is an outcome of years of research and development. Constant automations in diverse functional domains, including but not limited to Aerospace, Banking, Healthcare, Supercomputing, Scientific Calculations, Data  Visualisations, Oil Exploratory Rigs,  and much more has created wonders for human existence. List of applications of computer science is endless and every thing in this world is more or less connected with it. Just to summarise, Computer Science ( CS ) is an engineering marvel that we can't do away with and is pivotal for development of human systems. Computer Science ( CS ) will only catapult human race to the next higher levels of evolution.

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Additional Computer Science ( CS ) related Disciplines, Tools, Technologies, Programming Platforms, Scripting Languages & Coding Vocational Skills :

Informatics Practices ( IP )

Python Coding, Programming & Scripting 

Information Technology ( IT )

Data Science ( DS )

Information & Communication Technology ( ICT )

Coding, Programming & Scripting 

Artificial Intelligence ( AI )

GeoSpatial Technology ( GT )

Multimedia Technology ( MM )

Web Applications & Web Development ( Web App & Web Dev )

Structured Query Language ( SQL ), Coding, Programming & Development

Procedural Language / Structured Query Language ( PL/SQL ), Coding, Programming & Development

Computers & Communication Technology ( CCT )

Computer Networking, Coding, Programming & Development

Typography & Computer Applications ( TCA )

Library Information Systems ( LIS )

Mass Media Studies ( MMS )

Computer Databases, Coding, Programming & Development

IT Autonomics, Coding, Programming & Development

Robotics & Process Automations ( UIPath Automations, Blue Prism Automations, Automation Anywhere Automations, 1Desk ( 1RPA, Amelia, IPcenter ), Robocorp Automations, RPA Framework Automations, Python Automations, Selenium Automations, Appium Automations )

Operating Systems ( OS ), Coding, Programming & Development

Kernel Programming, Coding & Development

Systems Programming, Coding & Development

Java Programming, Coding & Development ( Spring Framework, Spring Boot, Spring Security, Hibernate and more )

C Programming , Coding & Development

C++ , Coding, Programming & Development

Perl Scripting, Coding, Programming & Development

Linux Shell Scripting, Unix Shell Scripting ( Unix Bash Shell Scripting, Linux Bash Shell Scripting, Unix Bash Shell Scripting, Linux Korn Shell Scripting )

PowerShell Scripting, Programming & Development

Ethical Hacking

Cyber Hacking

Java Scripting Automations, Coding, Programming & Development

HTML, CSS Styles, Coding, Programming & Development

Application Programming Interface ( API ), Coding, Programming & Development

Software Development Life Cycle ( SDLC )

Application Micro Services Framework and Architecture ( Coding, Programming & Development )

Application Monolithic Framework and Architecture ( Coding, Programming & Development )

Automation Development Life Cycle ( ADLC )

Software Testing ( ST )

Manual Testing ( MT )

Automated Testing ( AT )

R Programming, R Studio Programming, Coding & Development

Mathematical Extrapolations & Analysis

Decision Support Systems ( Operations Research, Marketing Research Game Theory, PERT Analysis, Queue Routing, Transportation Algorithms )

Statistics & Probability Computations

Regressions & Regression Algorithms

Hypothesis Analysis & Testing ( Statistical Analysis )

Natural Language Programming ( NLP ) ( Speech to Text and Text to Speech Conversions, Transcription Engines Comparative Analysis - Amazon Polly, IBM Watson and others )

IT Software Testing ( Unit Testing, Smoke Testing, Black Box Testing, Integration Testing, User Acceptance Testing UAT, Regression Testing )

Digital Transformations ( DevOps, Cloud Adoptions, Automations, Configurations, Instrumentations, Monitoring, SPC, Six Sigma, DMAIC Model )

Search Engine Optimisations ( SEO )

Search Engine Marketing ( SEM )

Social Marketing

Digital Marketing

Full Stack Development Paradigm ( Tech Stacks - Java Full Stack Development, Python Full Stack Developer, MENA Full Stack Development )

Project Management ( PMP, Prince Certifications )

Angular JS ( Java Scripting ) Front End Development

React JS ( Java Scripting ) Front End Development

Vue.js ( Java Scripting )

Node.js ( Java Scripting )

Type Scripting 

Artificial Intelligence ( Machine Learning, Deep Learning, Neural Networks, Supervised Learning, Unsupervised Learning, Decision Tree Algorithms )

Data Structures ( Pointers, Linked Data Structures, Non - Linked Data Structures )

Distributed Algorithms

DevOps ( Continuous Integrations CI, Continuous Development CD & Continuous Deployments CD )

Jenkins, Ansible, Maven, Gradle, Groovy, Ruby on Rails Scripting & Tool

Cloud Tools & Cloud Adoption ( Google Cloud, Amazon Cloud, Oracle Cloud, Amazon Web Services, Microsoft Azure and others )

Synchronous Web API ( Coding, Programming & Development ) & Asynchronous Messaging Queues ( Application Configurations, Integrations & Testing )

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Outline of National Council of Educational Research & Training - NCERT Prescribed Syllabus for subject of Computer Science - Class 11th ( XI - 11 ) :

Computer System:

Introduction to Computer System,

Evolution of Computer,

Computer Memory,

Data Transfer between Memory and CPU,

Microprocessors,

Data and Information,

Software,

Operating System 

Encoding Schemes and Number System:

Introduction,

Number System,

Conversion between Number Systems 

Emerging Trends:

Introduction,

Artificial Intelligence (AI),

Big Data,

Internet of Things (IoT),

Cloud Computing,

Grid Computing,

Blockchains 

Introduction to Problem Solving:

Introduction,

Steps for Problem Solving,

Algorithm,

Representation of Algorithms,

Flow of Control,

Verifying Algorithms,

Comparison of Algorithm,

Coding,

Decomposition 

Getting Started with Python:

Introduction to Python,

Python Keywords,

Identifiers,

Variables,

Comments,

Everything is an Object,

Data Types,

Operators,

Expressions,

Statement,

Input and Output,

Type Conversion,

Debugging 

Flow of Control:

Introduction,

Selection,

Indentation,

Repetition,

Break and Continue Statement,

Nested Loops 

Functions:

Introduction,

Functions,

User Defined Functions,

Scope of a Variable,

Python Standard Library 

Strings:

Introduction,

Strings,

String Operations,

Traversing a String,

String Methods and Built-in Functions,

Handling Strings 

Lists:

Introduction to List,

List Operations,

Traversing a List,

List Methods and Built-in Functions,

Nested Lists,

Copying Lists,

List as Arguments to Function,

List Manipulation 

Tuples and Dictionaries:

Introduction to Tuples,

Tuple Operations,

Tuple Methods and Built-in Functions,

Tuple Assignment,

Nested Tuples,

Tuple Handling,

Introduction to Dictionaries,

Dictionaries are Mutable,

Dictionary Operations,

Traversing a Dictionary,

Dictionary Methods and Built-in functions,

Manipulating Dictionaries 

Societal Impact:

Introduction,

Digital Footprints,

Digital Society and Netizen,

Data Protection,

Cyber Crime,

Indian Information Technology Act ( IT Act ),

Impact on Health

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Outline of Central Board of Secondary Education ( CBSE ) Prescribed Syllabus for Computer Science - Class 11th ( XI - 11 ) :

Unit I: Computer Systems and Organisation
Basic computer organisation:

Description of a computer system and mobile system, CPU, memory, hard disk, I/O, battery.

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:

Application software, System software and Utility 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
Memory Units:

bit, byte, MB, GB, TB, and PB.
Boolean logic:

NOT, AND, OR, NAND, NOR, XOR, NOT, truth tables and De Morgan’s laws, Logic circuits
Number System:

Numbers in base 2, 8, 16 and binary addition.

Binary, Octal, Decimal and Hexadecimal number system;

Conversion between number systems.
Encoding Schemes:

ASCII, UTF8, UTF32, ISCII and Unicode ( UTF8, UTF32 ).
Concept of Compiler and Interpreter
Operating System ( OS ) - need for an operating system, brief introduction  to functions of OS, user interface
Concept of cloud computing and cloud services ( SaaS, IaaS, PaaS ), Cloud ( public / private ), Blockchain Technology

Unit II: Computational Thinking and Programming - 1
Introduction to Problem solving:

Problem solving cycle - Analysing a problem, designing algorithms and representation of algorithm using flowchart and pseudo-code.
Decomposition: 

Concept, need for decomposing a problem, examples of problem solving using decomposition.
Familiarization with the basics of Python programming:

A simple “hello world" program,

the process of writing a program ( Interactive & Script mode ),

running it and print statements;

simple data-types: integer, float and string.
Features of Python, Python Character Set,

Token & Identifiers, Keywords, Literals,

Delimiters, Operators.
Comments:

( Single line & Multiline / Continuation statements ), Clarity & Simplification of expression
Introduce the notion of a variable and methods to manipulate it ( concept of L-value and R-value even if not taught explicitly ).
Knowledge of data types and operators: accepting input from the console, assignment statement, expressions, operators and their precedence.

Operators & types:

Binary operators - Arithmetic, Relational Operators, Logical Operators, Augmented Assignment Operators.
Execution of a program, errors- syntax error, run-time error and logical error.

Conditional statements:

if, if - else, if - elif - else; simple programs: e.g.: absolute value, sort 3 numbers and divisibility of a number.
Notion of iterative computation and control flow:

for ( range(), len() ), while, using flowcharts, suggested programs: calculation of simple and compound interests, finding the factorial of a positive number etc.
Strings:

Traversal, operations – concatenation, repetition, membership; functions / methods–len(), capitalize(), title(), upper(), lower(), count(), find(),
index(), isalnum(), islower(), isupper(), isspace(), isalpha(), isdigit(), split(), partition(), strip(), lstrip(), rstrip(), replace(); String slicing.

Lists:

Definition, Creation of a list, Traversal of a list. Operations on a list - concatenation, repetition, membership; functions / methods – len(), list(),  append(), extend(), insert(), count(), index(), remove(), pop(), reverse(), sort(), min(), max(), sum(); Lists Slicing; Nested lists; 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:

Definition, Creation of a Tuple, Traversal of a tuple. Operations on a tuple - concatenation, repetition, membership; functions / methods –
len(), tuple(), count(), index(), sorted(), min(), max(), sum(); Nested tuple; Tuple slicing; 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:

Definition, Creation, Accessing elements of a dictionary, add an item, modify an item in a dictionary; Traversal, functions / methods – len(),
dict(), keys(), values(), items(), get(), update(), del(), 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 algorithm: 

Bubble and insertion sort; count the number of operations while sorting.
Introduction to Python modules:

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
Cyber safety: 

Safely browsing the web, identity protection, confidentiality, social networks, cyber trolls and bullying.
Appropriate usage of social networks: 

Spread of rumours, and common social networking sites ( Twitter, LinkedIn, and Facebook ) and specific usage rules.
Safely accessing web sites: 

Adware, malware, viruses, trojans
Safely communicating data: 

Cyber Crime :

Secure connections, eavesdropping, phishing and fraud emails, ransomware and identity verification.
Intellectual property rights, plagiarism, digital rights management, and licensing ( Creative Commons, GPL and Apache ), open source, open data,
privacy.

Privacy laws, fraud;

Cyber-crime - definition, hacking, phishing, illegal downloads, child pornography, scams; cyber forensics,

Indian Information Technology Act ( IT Act ), 2000.
Technology and society:
Understanding of societal issues and cultural changes induced by technology.

E-waste management: 

Proper disposal of used electronic gadgets.
Identity theft, unique ids and biometrics:

Gender and disability issues while teaching and using computers:
 

Practical :

1. Python program
2. Report file : Minimum 20 Python programs
Term- 1 : Minimum 10 programs based on Term – 1 syllabus
Term- 2 : Minimum 10 programs based on Term – 2 syllabus

3. Viva voce
4. Project + Viva voce
Term – 1 : Synopsis of the project to be submitted by the students
Term - 2 : Final coding + Viva voce ( Student will be allowed to modify their Term 1 document and submit the final executable code )

5. Suggested Practical List
Term - 1
a. Input a welcome message and display it.
b. Input two numbers and display the larger / smaller number.
c. Input three numbers and display the largest / smallest number.
d. Generate the following patterns using nested loop.

Pattern - 1
*
**
***
****
*****

Pattern - 2
1 2 3 4 5
1 2 3 4
1 2 3
1 2
1

Pattern - 3
A
AB
ABC
ABCD
ABCDE

e. Determine whether a number is a perfect number, an armstrong number or a palindrome.
f. Input a number and check if the number is a prime or composite number.
g. Display the terms of a Fibonacci series.
h. Compute the greatest common divisor and least common multiple of two integers.
i. Count and display the number of vowels, consonants, uppercase, lowercase characters in string.
j. Input a string and determine whether it is a palindrome or not; convert the case of characters in a string.

Term - 2
k. Find the largest / smallest number in a list / tuple
l. Input a list of numbers and swap elements at the even location with the elements at the odd location.
m. Input a list / tuple of elements, search for a given element in the list / tuple.
n. Input a list of numbers and find the smallest and largest number from the list.
o. Create a dictionary with the roll number, name and marks of n students in a class and display the names of students who have scored marks above 75.

6. Suggested Reading Material
NCERT Textbook for COMPUTER SCIENCE ( Class XI )
Support Materials on the CBSE website.

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Outline of National Council of Educational Research & Training - NCERT Prescribed Syllabus for subject of Computer Science - Class 12th ( XII - 12 ) :

Exception Handling in Python:                                                                                                                                                                                                                                                       File Handling in Python:

Introduction to Files,

Types of Files,

Opening and Closing a Text File,

Writing to a Text File,

Reading from a Text File,

Setting Offsets in a File,

Creating and Traversing a Text File,

The Pickle Module

Stack:

Introduction,

Stack,

Operations on Stack,

Implementation of Stack in Python,

Notations for Arithmetic Expressions,

Conversion from Infix to Postfix Notation,

Evaluation of Postfix Expression

Queue:

Introduction to Queue,

Operations on Queue,

Implementation of Queue using Python,

Introduction to Deque,

Implementation of Deque using Python

Sorting:

Introduction,

Bubble Sort,

Selection Sort,

Insertion Sort,

Time Complexity of Algorithms 

Searching:

Introduction,

Linear Search,

Binary Search,

Search by Hashing 

Understanding Data:

Introduction to Data,

Data Collection,

Data Storage,

Data Processing,

Statistical Techniques for Data Processing 

Database Concepts:

Introduction,

File System,

Database Management System,

Relational Data Model,

Keys in a Relational Database 

Structured Query Language ( SQL ):

Introduction,

Structured Query Language ( SQL ),

Data Types and Constraints in MySQL,

SQL for Data Definition,

SQL for Data Manipulation,

SQL for Data Query,

Data Updation and Deletion,

Functions in SQL,

GROUP BY Clause in SQL,

Operations on Relations,

Using Two Relations in a Query 

Computer Networks:

Introduction to Computer Networks,

Evolution of Networking,

Types of Networks,

Network Devices,

Networking Topologies,

Identifying Nodes in a Networked Communication,

Internet,

Web and the Internet of Things,

Domain Name System 

Data Communication:

Concept of Communication,

Components of data Communication,

Measuring Capacity of Communication Media,

Types of Data Communication,

Switching Techniques,

Transmission Media,

Mobile Telecommunication Technologies,

Protocol 

Security Aspects:

Threats and Prevention,

Malware,

Antivirus,

Spam,

HTTP vs HTTPS,

Firewall,

Cookies,

Hackers and Crackers,

Network Security Threats 

Project Based Learning:

Introduction,

Approaches for Solving Projects,

Teamwork,

Project Descriptions

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Outline of Central Board of Secondary Education ( CBSE ) Prescribed Syllabus for subject of Computer Science - Class 12th ( XII - 12 ) :

Unit I: Computational Thinking and Programming - 2
Revision of the basics of Python covered in Class XI:
Functions:

scope, parameter passing, mutable / immutable properties of data objects, passing strings, lists, tuples, dictionaries to functions, default parameters, positional parameters, return values, functions using libraries: mathematical and string functions.
File handling:

Need for a data file, Types of file: Text files, Binary files and CSV ( Comma separated values ) files.
Text File:

Basic operations on a text file: Open ( filename – absolute or relative path, mode ) / Close a text file, Reading and Manipulation of data from a text file, Appending data into a text file, standard input / output and error streams, relative and absolute paths.
Binary File:

Basic operations on a binary file: Open ( filename – absolute or relative path, mode ) / Close a binary file, Pickle Module – methods load and dump; Read, Write / Create, Search, Append and Update operations in a binary file. 
CSV File:

Import csv module, functions – Open / Close a csv file, Read from a csv file and Write into a csv file using csv.reader( ) and csv.writerow( ).
Using Python libraries:

Create and import Python libraries.
Recursion: 

Simple algorithms with recursion: print a message forever, sum of first n natural numbers, factorial, Fibonacci numbers; recursion on arrays: binary search.
Idea of efficiency: performance measurement in terms of the number of operations.
Data-structures: Lists as covered in Class XI, Stacks – Push, Pop using a list, Queues – Insert, Delete using a list.
 

Unit II: Computer Networks
Evolution of Networking:

ARPANET, Internet, Interspace Different ways of sending data across the network with reference to switching techniques ( Circuit and Packet Switching ).
Data Communication terminologies:

Concept of Channel, Bandwidth (Hz, KHz, MHz) and Data transfer rate ( bps, Kbps, Mbps, Gbps, Tbps ).
Transmission media:

Twisted pair cable, coaxial cable, optical fiber, infrared, radio link, microwave link and satellite link.
Network devices:

Modem, RJ45 connector, Ethernet Card, Router, Switch, Gateway, WiFi card.
Network Topologies and types:

Bus, Star, Tree, PAN, LAN, WAN,MAN.
Network Protocol:

TCP / IP, File Transfer Protocol ( FTP ), PPP, HTTP, SMTP, POP3, Remote Login ( Telnet ) and Internet, Wireless / Mobile Communication protocol such as GSM, GPRS and WLL.
Mobile Telecommunication Technologies:

1G, 2G, 3G, 4G and 5G; Mobile processors;
Electronic mail protocols such as SMTP, POP3, Protocols for Chat and Video Conferencing: VoIP, Wireless technologies such as Wi-Fi and WiMax
Network Security Concepts:
Threats and prevention from Viruses, Worms, Trojan horse, Spams Use of Cookies, Protection using Firewall, https; India IT Act, Cyber Law, Cyber Crimes, IPR issues, hacking.
Introduction To Web services:

WWW, Hyper Text Markup Language ( HTML ), Extensible Markup Language ( XML ) ; Hyper Text Transfer Protocol ( HTTP ) ; Domain Names; URL; Website, Web browser, Web Servers; Web Hosting, Web Scripting – Client side ( VB Script, Java Script, PHP ) and Server side ( ASP, JSP, PHP ), Web 2.0 ( for social networking )
E-commerce payment transactions using online banking, mobile banking, payment apps and services:

Unit III: Database Management
Database Concepts:

Introduction to database concepts and its need.
Relational data model:

Concept of domain, relation, tuple, attribute, degree, cardinality, key, primary key, candidate key, alternate key and foreign key;
Structured Query Language:
General Concepts: Advantages of using SQL, Data Definition Language and Data Manipulation Language;
Data Types:

number / decimal, character / varchar / varchar2, date;
SQL commands:

CREATE TABLE, DROP TABLE, ALTER TABLE, UPDATE ....SET...., INSERT, DELETE; SELECT, DISTINCT, FROM, WHERE, IN, BETWEEN, LIKE, NULL / IS NULL, ORDER BY, GROUP BY, HAVING;
SQL functions:

SUM ( ), AVG ( ), COUNT ( ), MAX ( ) and MIN ( );
Joins:

Equi - join and natural join
Interface of Python with an SQL database:
- Connecting SQL with Python
- Creating Database connectivity Applications
- Performing Insert, Update, Delete queries
- Display data by using fetchone(), fetchall(), rowcount

Practical :
1. Lab Test :
a. Python program
b. 3 SQL Queries based on one / two table( s ), 2 output questions based on SQL queries
2. Report File :
Term – 1 : Minimum 15 Python programs based on Term - 1 Syllabus
Term – 2 : Minimum 3 Python programs based on Term-2 Syllabus
SQL Queries – Minimum 5 sets using one table / two tables.
Minimum 2 programs based on Python - SQL connectivity.
3. Project ( using concepts learnt in Classes 11 and 12 )
Term – 1 : Synopsis of the project to be submitted by the students ( documentation only, may not submit the code during Term - 1 )
Term - 2 : Final coding + Viva voce ( Student will be allowed to modify their Term 1 document and submit the final executable code )
4. Viva voce
5. Suggested Practical List :
Term-1
Python Programming
a. Read a text file line by line and display each word separated by a #.
b. Read a text file and display the number of vowels / consonants / uppercase / lowercase characters in the file.
c. Remove all the lines that contain the character 'a' in a file and write it to another file.
d. Create a binary file with name and roll number. Search for a given roll number and display the name, if not found, display appropriate message.
e. Create a binary file with roll number, name and marks. Input a roll number and update the marks.
f. Write a random number generator that generates random numbers between 1 and 6 ( simulates a dice ).
g. Create a CSV file by entering user-id and password, read and search the password for given userid.
Term-2
Python Programming
a. Write a Python program to implement a stack using list.
Database Management
a. Create a student table and insert data. Implement the following SQL commands on the student table:
ALTER table to add new attributes / modify data type / drop attribute
UPDATE table to modify data
ORDER By to display data in ascending / descending order
DELETE to remove tuple( s )
GROUP BY and find the min, max, sum, count and average
Joining of two tables.
b. Similar exercise may be framed for other cases.
c. Integrate SQL with Python by importing suitable module.
Database Management
a. Create a student table and insert data. Implement the following SQL commands on the student table:
ALTER table to add new attributes / modify data type / drop attribute
UPDATE table to modify data
ORDER By to display data in ascending / descending order
DELETE to remove tuple( s )
GROUP BY and find the min, max, sum, count and average
b. Similar exercise may be framed for other cases.
c. Integrate SQL with Python by importing suitable module.
7. Suggested Reading Material
NCERT Textbook for COMPUTER SCIENCE ( Class XII )
Support Materials on the CBSE website.
8. Project
The aim of the class project is to create something that is tangible and useful using Python file handling / Python - SQL connectivity. This should be done in groups of two to three students and should be started by students at least 6 months before the submission deadline. The aim here is to find a real world problem that is worthwhile to solve. Students are encouraged to visit local businesses and ask them about the problems that they are facing. For example, if a business is finding it hard to create invoices for filing GST claims, then students can do a project that takes the raw data ( list of transactions ), groups the transactions by category, accounts for the GST tax rates, and creates invoices in the appropriate format. Students can be extremely creative here. They can use a wide variety of Python libraries to create user friendly applications such as games, software for their school, software for their disabled fellow students, and mobile applications. Of course to do some of these projects, some additional learning is required; this should be encouraged. Students should know how to teach themselves. The students should be sensitised to avoid plagiarism and violations of  copyright issues while working on projects. Teachers should take necessary measures for this.

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It makes it a win-win situation for both the Academy and it's students. We encourage the students & residents of encompassing areas to come forward and explore our highly effective, efficient "Computer Science Tutoring Services" being delivered just next to or near the residential areas.

We'll indeed be delighted to hear back about your requirements and assure you of our expert "Computer Science tutoring Services". A One-On-One Online Tutoring Consultation or a Private Tutor visit at your desired premises can be booked at an absolutely nominal ( only to and fro transportation ) charge.

We'll ensure punctuality, utmost professionalism and full compliance to agreed visitation, tutoring and training time windows, as well as, strive to deliver one of the most satisfying tutoring experience ever possible.

​Please do visit our Services web page to explore various Tutoring Services. Do write or speak to us or visit our Contact Us web page to know more about us.

Looking forward to connecting with you !

Wise Turtle Academy !