The Data Structures Lab enables students to solve problems using various data structures such as arrays, stacks, queues, and trees in the C programming language.

The Networking Lab offers hands-on experience in network programming using Linux system calls and monitoring tools, covering protocol implementation, service configuration, and network simulation.

The Web Programming Lab equips students with a comprehensive understanding of web programming concepts, covering essential frontend and backend technologies needed for developing web applications, including HTML, CSS, JavaScript, PHP, MySQL integration, and JSON. This provides students with the opportunity to acquire vital web development skills.

The Programming Lab serves as an introductory course in programming, enhancing logical abilities and problem-solving skills through Python, and also teaches students how to test and debug Python code.

The software lab of civil department aims to train the students to use different software tools needed for professional practice in civil engineering.

MPMC course is designed to train the students to familiarize and program microprocessors and microcontrollers.

The language lab intends to develop the confidence level of students and it would motivate them to use their language skills outside the classroom as well.

Computer Lab 1 Details

1. 1. Total number of computers: 40
   2. Total number of machines utilized: 40
   3. Operating Systems: Ubuntu 16.04, Windows 7

The DBMS Lab equips students with the skills and knowledge necessary to create, manage, and administer databases effectively. Students gain hands-on experience with various database management tools and technologies, enabling them to design and develop robust databases. Additionally, the lab introduces students to cutting-edge methodologies for handling Big Data, preparing them to address the challenges of managing and analyzing large datasets in real-world applications. Key activities include database creation and management, administrative tasks such as backup and recovery, performance tuning, security management, and the development of custom tools to enhance database functionality. Exposure to emerging Big Data technologies, including distributed databases, data warehousing, and data mining, is also a significant aspect of the learning experience.

The OOPS Lab provides a practical environment for students to explore and apply object-oriented programming (OOP) principles. Through hands-on coding exercises and projects, students deepen their understanding of OOP concepts such as encapsulation, inheritance, polymorphism, and abstraction. The lab emphasizes practical experience, allowing students to develop real-world applications and solve complex programming problems. Activities include fundamental OOP concept exploration, hands-on coding exercises to reinforce theoretical knowledge, project development to design and implement applications using OOP techniques, and advanced topics such as design patterns and software engineering practices, preparing students for professional software development roles.

Familiarize the students with basic functions and features of Computer, Operating system and Internet applications.

Computer Lab 2 Details

1. Total number of computers: 40
2. Total number of machines utilized: 40
3. Operating Systems: Ubuntu 16.04, Windows 7

The Project Lab is dedicated to facilitating student projects and research development. This lab offers a conducive environment equipped with the necessary space and resources for students to work on their academic and innovative projects. It supports a wide range of activities, from initial concept development to the final implementation and testing phases. Students have access to various tools, software, and hardware resources essential for their project needs. Additionally, the lab fosters a collaborative atmosphere, encouraging teamwork and the exchange of ideas among peers. Faculty and technical staff are available to provide guidance and support, ensuring that students can successfully navigate any challenges they encounter. Ultimately, the Project Lab plays a crucial role in helping students bring their theoretical knowledge into practical application, preparing them for real-world engineering and research tasks.

Data Science Lab is an introductory practical course on Data Science and student will learn how

to use various scientific libraries in python to implement data mining techniques and machine

learning algorithms. Mobile Application and Development Lab is a practical course on Mobile Application Development and student will learn how to program in Android Platform and develop applications using SQLite that run on Android Operating System. The System Software and Microprocessor Lab provides students with hands-on experience in programming microcontrollers and microprocessors, enabling them to design, implement, and interface system software while mastering assembly-level programming and resource allocation algorithms.

Computer Lab 3 Details

1. Total number of computers: 40
2. Total number of machines utilized: 40
3. Operating Systems: Windows 10

Logic system design lab, Control System lab, MP&MC lab, Analog circuit lab, Analog circuit and simulation lab, Digital lab,Power Electronics Lab,Power System lab)

The Database Management Systems course aims to teach students the fundamental concepts of database management, enabling them to design and implement database applications. It provides practical exposure to database creation, SQL query formulation, transaction processing, and operations based on NoSQL and MongoDB.

The drafting lab provides students with the tools to master building design using software like AutoCAD.

Analog Circuit Labs offer practical experience in designing and analyzing circuits involving passive and active components such as amplifiers, filters, and oscillators. Complementing this, the Analog Circuit and Simulation Labs integrate software tools like SPICE to simulate and analyze circuit behavior. The Digital Lab focuses on digital electronics, encompassing combinational and sequential logic design, digital signal processing, and FPGA programming, providing a comprehensive exploration of both analog and digital aspects in electrical engineering.

The Control System Laboratory imparts knowledge in linear control theory, transfer function representation, time response analysis, frequency response analysis, stability analysis, and compensation design. Students use MATLAB software to analyze both open-loop and closed-loop systems. The Power System Laboratory conducts experiments on protection, simulation, high voltage, and machines. It features relay testing capabilities, including overcurrent, undervoltage, directional, differential, and distance relays, as well as numerical relay testing.

Computer Lab 4 Details

1. Total number of computers: 40
2. Total number of machines utilized: 40
3. Operating Systems: Ubuntu 16.04, Windows7, Windows 10

The Networking Lab offers practical exposure to network programming using Linux system calls and monitoring tools, covering protocol implementation, service configuration, and network simulation.

Copiler Design Lab aims to offer students hands-on experience on compiler design concepts.Students will be able to familiarize with tools such as LEX and YACC and automate different phases of a compiler. This course helps the learners to enhance the capability to design and implement a compiler.

Operating System concepts are studied using the Linux operating system, where students implement and modify various OS concepts such as Round Robin (RR), Shortest Job First (SJF), First-Come-First-Serve (FCFS), and Priority scheduling algorithms.

Computer Lab 5 Details

1. Total number of computers: 40
2. Total number of machines utilized: 40
3. Operating Systems: Ubuntu 16.04, windows 10

In Python lab, students will be able to learn and practice basic python programming. They can expand their skillset by learning and solving basic problems in python. Python is very easy to use, powerful, and versatile. It has become the language of choice for many IoT developers.

Operating System concepts are studied using the Linux operating system, where students implement and modify various OS concepts such as Round Robin (RR), Shortest Job First (SJF), First-Come-First-Serve (FCFS), and Priority scheduling algorithms.

Microcontroller Lab aims to familiarize students with Assembly Language Programming for modern microcontrollers while imparting skills for interfacing the microcontroller using Embedded C and Assembly Language.

Computer Lab 6 Details

1. Total number of computers: 40
2. Total number of machines utilized: 40

Operating Systems: Ubuntu 16.04, windows 10