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Dept. of CSE

Home CSE Home Laboratory

All laboratories are well equipped, well maintained, and enable not only conduction of curriculum - oriented experiments but also used to carry out minor/mini/semester-long/ year-long projects and research. Systems connected to 1 GBPS NKN (National Knowledge Network).

Each student provided a dedicated computer that enables him/her to design, implement and testing of solutions/programs independently. Students are encouraged to think about different solutions for the same problem. The labs are kept open every day up to 7.30PM to enable the students to practice on global coding platforms for problem-solving and to participate in global coding competitions.

Aplication Development Lab   

This lab fully equipped with the i5 machines, and aims to use open-source software to develop Web applications. At the end of the lab course, students will acquire the knowledge to build Web applications.

  • Hardware Configuration : Intel Core i5, 12th Generation, RAM : 8GB, SSD : 256GB
  • No of Desktops: 72
  • No of Backup Desktops: 3
  • AC 9.9 Ton
  • Lab Location: Application Development Lab (NB-405)

  • Coding Competency Lab

    This lab fully equipped with i5 machines, and this lab is aimed at providing knowledge about the Data Structures and Algorithms. At the end of the course, students will implement the algorithms in Data Structures, Algorithms using C/Java languages.

  • Hardware Configuration : Intel Core i5, 12th Generation, RAM : 8GB, SSD : 256GB
  • No of Desktops: 72
  • No of Backup Desktops: 3
  • AC 9.9 Ton
  • Lab Location: Application Development Lab (NB-304)

  • Big Data Analytics Lab   

    This lab is fully equipped with i5 machines, and aimed to provide knowledge about Big Data and its applications based on Hadoop Framework. After completion of the course, students are capable of extracting knowledge/patterns from Big Data using PIG/HIVE tools.

  • Hardware Configuration: Intel Core i5, 16GB RAM, SSD:256GB
  • No of Desktops: 75
  • No of of Backup Desktops: 9
  • AC 9.9 Ton
  • Lab Location: Big data Analytics Lab (NB-406)

  • Data Analytics Lab   

    This lab is equipped with i5 machines. This lab aims to provide knowledge on Data Base Management System and its applications using MySQL. After completion of the course, students will be able to design and develop database applications

  • Hardware Configuration: Intel Core i5, 12th Generation, RAM : 8GB, SSD : 256GB
  • No of Desktops: 72
  • No of Backup Desktops: 3
  • AC 9.9 Ton
  • Lab Location: Data Science Lab (NB-404)

  • Network Simulation Lab   

    This lab is equipped with i5 machines. This lab aims at providing students the knowledge about the Network Environment. After completion of the lab course, students will be able to develop network-related applications.

  • Hardware Configuration : Intel Core i5, 12th Generation, RAM : 8GB, SSD : 256GB
  • No of Desktops: 72
  • No of Backup Desktops: 3
  • AC 9.9 Ton
  • Lab Location: Networking Lab (NB-305)

  • Cloud Computing Lab   

    This lab is equipped with i5 machines.This lab aims at providing students the knowledge about how to create a virtual environment. After completion of the lab course, students will be able to develop virtual cloud.

  • Hardware Configuration : Intel Core i5, RAM : 16GB, HDD : 1TB
  • No of Desktops: 72
  • No of Backup Desktops: 9
  • AC 9.9 Ton
  • Lab Location: Cloud Computing Lab (NB-504)

  • Dr.C.R.Rao Research Center   

    This lab is equipped with colossal computing power machines capable to carry out research in different areas like Image Processing, Data Mining, Big Data Analytics, Machine Learning, Deep Learning, etc.

  • Hardware Configuration:
  • GPU Computers:
    HP Z238 Workstation: (Qty: 1)
    Intel Xeon E3-1225v5
    32GB DDR4, 1TB 7200 rpm Hard Disk
    AMD fire Pro W2100 2GB Graphics
    HP 22 inch IPS LED Monitor
    HP Z4 G4 Workstation:(Qty: 1)
    Intel Xeon W-2135 3.72666MHz 8.256cCPU
    32GB DDR4, 256GB SSD, 1TB Hard Disk
    GDDR5X Geforce RTX 2080 Ti Graphic Card
    HP Elite Display E243i 24 inch Monitor
    DELL Workstation: (Qty: 2)
    Intel Xeon Silver 4114 2.2GHz, 3.0GHz Turbo
    32GB DDR4, 1TB SSD, 1TB Hard Disk
    NvidiaQuadro RTX5000, 16GB, 4DP
    Dell 24 inch E2418HN Monitor

  • HPE DL360 GEN10 3106 server:
    Xeon-B3106 8C, 1.7 GHz, 1X16GB, S100;
    4x1 Gbe NIC (embedded) x16GB DIMM,
    2x480GB SSD’s
  • Desktop Computers:
    HP Pav 590 Desktop - (Qty- 2)
    8th Intel core i5-8500, 8GB RAM, 1TB HDD,
    Asus 3GB HDMI DVI Graphics GTX1060-3G
    HP 19.5 inch LED Monitor
    HP Pav 590 Desktop - (Qty- 6)
    8th Intel core i5-8500, 8GB RAM, 1TB HDD
    HP 19.5 inch LED Monitor
    40 Systems intel i5, 8GB RAM, 240GB SSD
  • IOT Kits- 20
    Raspberry Pi Boards (Qty- 41), Sensors
    ACER 19.5 inch LED Monitors (Qty- 20)
    with Keyboard & Mouse
  • AC 9.9 Ton
  • Lab Location: Dr.C.R.Rao Research Lab (NB-302)

  • Project Lab-1   

    This lab is equipped with i5 machines. This lab aims at providing the platform for students to do Minor Projects, Semester Long Projects.

  • Hardware Configuration: Intel Core i5, RAM: 16GB,SSD:256GB
  • No of Desktops: 78
  • AC: 9.9Ton
  • Lab Location:Project Lab-1 (NB-306)

  • Project Lab-2   

    This lab is equipped with i5 machines. This lab aims at providing the platform for students to do Minor Projects, Semester Long Projects.

  • Hardware Configuration: Intel Core i5, RAM: 8GB,HDD:500 GB
  • No of Desktops: 78
  • AC: 8 Ton
  • Lab Location: Project Lab-2 (NB-505)

  • List of licensed software   
  • Turnitin
  • Mathworks Campus-wide license
  • Academic VM ware Vsphere 6 essential
  • List of Laboratory Courses

    Year I Sem II Sem

    II YEAR

    DS ,DBMS, PP,OOPS

    DAA ,OS,BIOMETRICS

    III YEAR

    CN,WN , SE , OS,DMT

    AI,MC,FIP

    IV YEAR

    ES , IS , MC ,BDA


    List of Tools and Technologies used

    Subjects Tools And Technologies Used

    DS

    gcc

    DBMS

    My SQL Work bench, Oracle

    DAA

    gcc

    OOP

    jdk 1.8

    WT

    jdk 1.8 , Net beans 8

    SE

    Star UML, Argo UML

    OS

    gcc , jdk 1.8

    DMT

    My SQL , Weka ,Oracle, Anaconda

    CN

    gcc , Wire Shark , N-map

    ES

    Keil 4.8 , 5

    IS

    gcc , Wire Shark , N-map

    MC

    NS2 ,gcc

    BDA

    Hadoop

    PP

    PyCharm, Jupyter notebook

    BIOMETRICS

    Iris and Finger print scanners


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