Dept. of CSE

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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 Ethernet 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 PM 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 i3 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 i3, RAM : 4GB-8GB, HDD : 500GB
  • No of Desktops: 75
  • No of Backup Desktops: 2
  • UPS capacity: 20 KVA
  • AC 14 Ton
  • Lab Location: Application Development Lab (VPTF-03)

  • Basic Programming 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 8GB RAM 500GB HDD (72),
  • No of Desktops: 72
  • No of Backup Desktops: 2
  • UPS capacity: 12 KVA
  • AC 8 Ton
  • Lab Location: Basic Programming Lab (VPSF-01)

  • 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, 8GB RAM, 1TB HDD (75)
  • No of Desktops: 75
  • Nof of Backup Desktops: 2
  • AC 8 Ton
  • Lab Location: Big data Analytics Lab (VPSF-05)

  • Data Science Lab   

    This lab is equipped with i3 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 i3-i5, RAM: 4GB-8GB, HDD:500GB
  • No of Desktops: 75
  • Nof of Backup Desktops: 2
  • UPS capacity: 20 KVA
  • AC 13 Ton
  • Lab Location: Data Science Lab (VPTF-01)

  • Networks Lab   

    This lab is equipped with i3 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 i3-i5, RAM: 4GB-8GB, HDD: 500GB
  • No of Desktops: 72
  • Nof of Backup Desktops: 2
  • UPS capacity: 20 KVA
  • AC 8 Ton
  • Lab Location: Networks Lab (VPSF-02)
  • Dr.C.R.Rao Research Center (Project Lab-1)   

    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:
  • HP Desktops with GPU (Qty: 2)
    Processor: Intel(R) Core(TM), i5-8400 CPU @2.80 GHz,6 Cores
    GPU: ASUS GeForce GTX 1060 3GB
    RAM: 8GB, Hard Disk: 1TB
    OS: Windows 10 64bit
  • HP Z4 G4 Workstation ( GPU Work Station)
    1. CPU: Intel Xeon W-2135 3.7 @ 2666MHz, 6Cores
    2. GPU: NVIDIA GEFORCE GTX 1080 Ti @1582 MHz, 3584 Cores, 11GB GDDR5X
    3. RAM:32GB, HDD: 1TB, OS: Windows 10 - 64 bit
    DELL Work Station With GPU ( Qty:2)
    1. CPU: Intel Xeon 4114 @3.0GHz Turbo,10Cores
    2. GPU: NVIDIA GEFORCE QuadroGraphic RTX 5000 @ 11.2 TFLOPS, 3504 Cores, 16GB GDDR6
    3. RAM:32GB, HDD: 2TB, OS: Windows 10 - 64 bit
  • Hpe dl 360 Gen,Xeon-B3106 BC,1.7 Ghz, 32 GB RAM, 1TB HDD server (Qty:1)
  • HP Pavv590 (Qty: 6)
    Processor: Intel(R) Core(TM), i5 -8400 CPU @2.80 GHz,6 Cores
    RAM: 8GB, HDD: 1TB, OS: Windows 10 64bit
  • HP Systems (Qty: 8)
    1. CPU: Intel i5 processor, RAM: 8GB, HDD: 1TB
    HP Systems (Qty: 32)
    1. CPU: Intel i5 processor, RAM: 8GB, HDD: 500 GB
    IOT Kits- 20-( raspberry pi with sensors)
    HP Work Station (DRDO Project)
    1. CPU: Intel Xeon E3-1225V5 @3.3GHz, 4 Cores
    2. RAM: 32GB, HDD: 1TB, OS: Windows 10 - 64 bit
  • UPS capacity: 10 KVA
  • AC 7 Ton
  • Lab Location: Dr.C.R.Rao Research Lab (PG & Research) (VPTF-02)
  • 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 i3-i5, RAM: 8GB
  • No of Desktops: 78
  • UPS capacity: 20 KVA
  • AC: 8 Ton
  • Lab Location: Project Lab-2 (VPSF-07)
  • Project Lab-3   

    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 i3-i5, RAM: 8GB
  • No of Desktops: 78
  • UPS capacity: 20 KVA
  • AC: 8 Ton
  • Lab Location: Project Lab-3 (VPTF-04)
  • 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

    DAA , OOP

    III YEAR

    WT , SE , OS

    DMT ,CN

    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

    CN

    gcc , Wire Shark , N-map

    ES

    Keil 4.8 , 5

    IS

    gcc , Wire Shark , N-map

    MC

    NS2 ,gcc

    BDA

    Hadoop


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