Available courses

Cyptography

Cryptography is the study and practice of techniques for secure communication in the presence of third parties called adversaries. It deals with developing and analyzing protocols that prevents malicious third parties from retrieving information being shared between two entities thereby following the various aspects of information security. Secure Communication refers to the scenario where the message or data shared between two parties can’t be accessed by an adversary. In Cryptography, an Adversary is a malicious entity, which aims to retrieve precious information or data thereby undermining the principles of information security. Data Confidentiality, Data Integrity, Authentication and Non-repudiation are core principles of modern-day cryptography.

  1. Confidentiality refers to certain rules and guidelines usually executed under confidentiality agreements which ensure that the information is restricted to certain people or places.
  2. Data integrity refers to maintaining and making sure that the data stays accurate and consistent over its entire life cycle.
  3. Authentication is the process of making sure that the piece of data being claimed by the user belongs to it.
  4. Non-repudiation refers to the ability to make sure that a person or a party associated with a contract or a communication cannot deny the authenticity of their signature over their document or the sending of a message.

Consider two parties Alice and Bob. Now, Alice wants to send a message m to Bob over a secure channel. So, what happens is as follows. The sender’s message or sometimes called the Plaintext, is converted into an unreadable form using a Key k. The resultant text obtained is called the Ciphertext. This process is known as Encryption. At the time of received, the Ciphertext is converted back into the plaintext using the same Key k, so that it can be read by the receiver. This process is known as Decryption.

C Programming

ELECTRICAL MACHINES AND CONTROL SYSTEMS

Deep Learning Lab

Database Management Systems

Deep Learning

Exploratory Data Analysis on Laptop Dataset

BASIC ELECTRICAL AND ELECTRONICS

ENERGY AUDITING,CONSERVATION AND MANAGEMENT

ELECTRICAL DISTRIBUTED SYSTEM

FUNDAMENTALS OF ELECTRIC VEHICLES

SIGNALS AND SYSTEM

POWER SYSTEM PROTECTION

CONTROL OF ELECTRIC DRIVES

PYTHON PROGRAMMING

DIGITAL ELECTRONICS

PYTHON PROGRAMMING

POWER GENERATION AND TRANSMISSION SYSTEM

ELECTRICAL MEASUREMENT

DIGITAL ELECTRONICS

Full Stack Web Development Lab

Principles of Software Engineering

Exploratary Data Analysis on Milatary Dataset

Exploratary Data Analysis on Milatary Dataset

Exploratory Data Analysis on UDEMY DATASET

Exploratory Data Analysis on MOBILE DATASET

Exploratory Data Analysis on WEATHER DATASET

Exploratory Data Analysis on COVID-19 DATASET

Exploratory Data Analysis on NETFLIX DATASET

Exploratory Data Analysis on INDIAN CENSUS DATASET

Exploratory Data Analysis on LAPTOP DATASET

Exploratory Data Analysis on CARS DATA SET

COMPILER DESIGN LAB

WEB DESIGN AND DEVELOPMENT

DATA SCIENCE LAB

DATA STRUCTURES LAB

IMAGE PROCESSING

RENEWABLE ENERGY SOURCES

ELECTRICAL CIRCUIT ANALYSIS

WEB DESIGN AND DEVELOPMENT

OBJECT ORIENTED ANALYSIS & DESIGN

AWS CLOUD PRACTITIONER

flexible ac transmission system

power system analysis

power system operation and control

Fundamentals of Networking-CCNA

MACHINE LEARNING LAB

DATA BASE MANAGEMENT SYSTEMS LAB

DATA SCIENCE

Computer Networks Lab

Operating Systems Using Unix Lab

Data Analytics Using MS Excel

IOT LAB USING PYTHON

Object Oriented Programming with Python

C Programming LAB

NOSQL Databases

JAVA PROGRAMMING

Placement Training :: Verbal Reasoning

Placement Training: :Verbal Ability

Placement Training :: critical thinking

Placement Training :: abstract reasoning

Practice Placement Papers :: cognizant

Practice Placement Papers :: Hexaware

CS410: Advanced Databases

Advanced study of topics in database systems, including query optimization, concurrency, data warehouses, object-oriented extensions, and XML.  brandman, simca

Internal Placement Training

CS401: Operating Systems

Examination of the evolution of operating systems and design, focusing on hardware/software evolution leading to contemporary operating systems; basic operating systems concepts; methods of operating systems design and construction; algorithms for CPU scheduling, memory and general resource allocation; process coordination and management.  brandman, simca

CS101: Introduction to Computer Science I

Introductory course that provides the basic concepts, nomenclature, and historical perspective of computers and computing. Includes an introduction to software development and Object-Oriented Programming.  college credit, nccrs, thomas edison, asba

Linux Commands

In this course you will learn about simple and complex Linux commands, combining them, building Bash scripts, etc. It will be hands-on, where the teacher will show first how to use different commands and the participants will try them themselves. Each participant is going to have an account on the training server. 

Web Design [CSS - Advanced HTML]


Web Design [HTML]


Python for Beginners 1 - Python Language Basics

This is the introductory course for Python for Beginners.  Please start here if you have no experience coding in Python.  This course is self-paced; you can proceed through the course, but need to complete each unit before moving on to the next unit.

20MC1T05 Probability and Statistical Applications

MCA::20MC1T01 DATA STRUCTURES

20MC1T02 Computer Organization

20MC1T03 Database Management Systems

201MCT04 Operating Systems

UTILIZATION OF ELECTRICAL ENERGY

ELECTRICAL MACHINES

ANALOG ELECTRONICS

power system

electrical machines

Industrial Electronics

POWER ELECTRONICS

ELECTROMAGNETIC FIELD

MICROPROCESSOR AND MICRO CONTROLLER

CONTROL SYSTEM

POWER SYSTEM -II

POWER SYSTEM-I

ELECTRICAL MACHINES-I

ELECTRICAL MACHINES-II

R Programming

Mobile Application Development

WEB TECHNOLOGY

INTERNET OF THINGS

Python Programming

Autometa Theory

Software Testing Methodology

Information Retrieval Technology

Digital Logic Design

C++ Programming

Data Mining and Data Warehousing

BIG DATA

Artificial Intelligence

COMPUTER NETWORKS

III YEAR - I SEM

COMPUTER ORGANIZATION AND ARCHITECTURE

Data Base Management Systems

Data is a collection of facts and figures. The data collection was increasing day to day and they needed to be stored in a device or a software which is safer.

Charles Bachman was the first person to develop the Integrated Data Store (IDS) which was based on network data model for which he was inaugurated with the Turing Award (The most prestigious award which is equivalent to Nobel prize in the field of Computer Science.). It was developed in early 1960’s.

In the late 1960’s, IBM (International Business Machines Corporation) developed the Integrated Management Systems which is the standard database system used till date in many places. It was developed based on the hierarchical database model. It was during the year 1970 that the relational database model was developed by Edgar Codd. Many of the database models we use today are relational based. It was considered the standardized database model from then.

The relational model was still in use by many people in the market.Later during the same decade (1980’s), IBM developed the Structured Query Language (SQL) as a part of R project. It was declared as a standard language for the queries by ISO and ANSI. The Transaction Management Systems for processing transactions was also developed by James Gray for which he was felicitated the Turing Award.

Further, there were many other models with rich features like complex queries, datatypes to insert images and many others. The Internet Age has perhaps influenced the data models much more. Data models were developed using object oriented programming features, embedding with scripting languages like Hyper Text Markup Language (HTML) for queries. With humongous data being available online, DBMS is gaining more significance day by day.

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Full Stack Web Development

Data Structures

ROBOTICS

ROBOTICS

https://drive.google.com/file/d/1XIx XbccV_dRjoHgX91WAY-kxT- lDk9ML/view?usp=sharing

Lab manuals 2023-24

Academic Year 22-23 Course Materials Even Semester

Academic Year 23-24 ODD Semester Course Materials

C++ Lab

Advanced Java and Web Technologies Lab

Data Base Management Systems Lab

OOPs Through Java Lab

Advanced English Communication Skills Lab

Python for Data Science Lab

Object Oriented Analysis and Design Lab

Digital Logic Design Lab

Internet of Things Lab

Operating Systems Lab in Linux

Data Warehousing and Data Mining Lab

Cryptography and Network Security Lab

Machine Learning Lab

Operating Systems

Data Structures

Operating System Theory


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