Database Lab
In the database lab, students engage in practical exercises aimed at enhancing their skills in managing, querying, and analyzing data. Through hands-on experimentation with various database management systems, such as MySQL, students learn to design efficient database structures and optimize performance. They explore techniques for data normalization, indexing, and data manipulation using SQL commands. Additionally, students delve into advanced topics like database security, transactions, and data warehousing, gaining valuable insights into real-world applications of database technology. This lab is equipped with the latest computer systems.
System Configuration
Dell OptiPlex 5000 i7 – 12 Gen
16GB Ram 256GB SSD, UPS-Microtek 10 KV
Softwares Available
- Linux
- Oracle XE
- Java
- DosBOX
- StarUml
- Code Blocks
- Prolog
Programming Lab-I
This Programming lab is dedicated to students learning about implementing various programming concepts using various languages like Java SE, Java EE and Python. This lab provides different software for hands-on with a high‐level understanding of concepts of Artificial Intelligence (AI), Mobile computing (MC), Programming in Python(PIP), Advanced Java programming, and Java programming practical problems. This lab has the latest computer systems with configuration as follows.
System Configuration
Dell OptiPlex 5000 i7 – 12 Gen
16GB Ram 256GB SSD, UPS-Microtek 10 KV
Softwares Available
- Linux
- Libre Office
- JDK
- DosBox
- StarUML
- Prolog
Network Programming lab
This lab aims to introduce the students to the world of computer networks where they learn about network-related commands, practice Linux programming using Linux system calls, and start using tools for Network Traffic Analysis and Network Monitoring. Students implement a three-tier application (client browser, apache2 WebServer, MySQL DB) and study the implementation options.
System Configuration
Dell OptiPlex 5000 i7 – 12 Gen
16GB Ram 256GB SSD, UPS-Microtek 10 KV
Softwares Available
- Python
- Libre office
- Scilab
- Code Blocks
- Prolog
- Cisco Packet Tracer
Project Lab
The lab facilitates opportunities to work in emerging areas like Artificial Intelligence, Machine Learning, Cybersecurity, and Software Engineering. It is equipped with the necessary software and hardware to support project-based learning, enabling students to tackle real-world challenges, develop critical problem-solving skills, and cultivate creativity whether working individually or in teams. With guidance from experienced faculty and industry mentors, students would have the opportunity to conceptualize, design, and implement solutions, fostering a culture of entrepreneurship and technological advancement within the academic community. The laboratory is equipped with state-of-the-art systems with the latest configuration.
System Configuration
HP440 G9 i7-13700,
16GB DDR4 RAM
512GB SSD
Softwares Available
- Java SE Development Kit, Net beans IDE
- Python
- R
- Oracle 10g
- MATLAB
- Turtitin
- Access to open source software like Anaconda Des., Apache Web Server, BASH, Code blocks & many more
ubiquitous computing lab
Numerous computing domains are the focus of the ubiquitous computing lab. The goal of this lab is to carry out computer science experiments that assist students in solving challenging computing problems. The objective is to investigate how diverse technologies like IoT, Data Analytics, and Embedded Systems may be applied in many fields, and environments so they can interact with one another, with minimal human effort to complete tasks.
System Configuration
- 12 systems- Windows 10 pro, i5 Gen, RAM-8GB, Graphics Card- NVIDIA GT610(4GB), SSD-512GB
- 18 systems -Screen- 18.5” processor-i5, RAM-16GB, SSD-500GB
Softwares Available
- Jupiter Notebook (DS)
- Postgres SQL (DS)
- Tableau (DS)
- Power BI (DS)
- VM ware (Cy Sec)
- Parrot (OS)
- Cyber Ghost
- Active Directory explorer
- Net bios
- Net Scan
- Nessus
- System Hacking tools
- Malware threats and many more.
Data Structures & Algorithm Lab
In the Data Structures and Algorithms lab, students engage in practical exercises aimed at implementing a diverse range of data structures such as arrays, linked lists, trees, graphs, and hash tables. They also delve into algorithmic design techniques including sorting, searching, and graph traversal. Through these activities, students acquire a thorough comprehension of the underlying fundamental principles for efficient data organization and algorithmic optimization, preparing them to tackle complex computational challenges in various domains such as software development, artificial intelligence, and data science. The laboratory is equipped with state-of-the-art systems boasting the latest configuration.
System Configuration
HP440 G9 i7-13700,
16GB DDR4 RAM
512GB SSD
Softwares Available
- Java
- C/C++
- Python
- Matlab
