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Admission Hotline

Computer Science And Engineering(Artificial Intelligence and Machine Learning)

Laboratory

  • Departmental Laboratory

    CSE (AI and ML) Practical List

     

    Sl. No

    Subject Name

    Semester

    Subject Code

    1

    Programming for Problem Solving

    2nd

    ES-CS291

    2

    Data Structure & Algorithms Lab

     

     

     

     

    3rd

    PCC-CS391

    3

    Analog and Digital Electronics Lab

    ESC391

    4

    Computer Organization Lab

    PCC-CS392

    5

    IT Workshop (Python I)

    PCC- CS393

    6

    Artificial Intelligence Lab

     

     

    4th

    PCCAIML 491

    7

    Design and Analysis of Algorithm Lab

    PCCCS49 4

    8

    Python II / R Programming Language Lab

    PCCAIML 492

    9

    Operating System Lab

     

     

     

    5th

    PCCCS59 2

    10

    Object Oriented Programming & Java Lab

    PCCCS593

    11

    Machine Learning Lab

    PCCAIML 592

    12

    Machine Learning Applications lab

     

     

    6th

    PCCAIML 691

    13

    Soft Computing Lab

    PCCAIML 693

    14

    Computer Networks Lab

    PCCCS692

    1
  • 2

    Software Packages

    Programming, Data Structure & Algorithm Lab: Python, C/C++, JDK, Visual Studio Code, PyCharm, Code::Blocks / GCC

    Artificial Intelligence & Python/R Lab: Python, Google Colab, SWI-Prolog

    Machine Learning Lab: Python, Scikit-learn, Pandas, NumPy, Matplotlib

    Machine Learning Applications Lab: Python, Google Colab, TensorFlow, Keras, PyTorch, OpenCV, Hugging Face Libraries

    Soft Computing Lab: MATLAB, MATLAB Fuzzy Logic Toolbox

    Operating System Lab: Windows, Ubuntu/Linux, 

    Object Oriented Programming & Java Lab: JDK, IntelliJ IDEA / NetBeans, Visual Studio Code

    Computer Architecture / Organization Lab: Xilinx ISE / Vivado, VHDL, 

    Computer Networks Lab: Linux Networking Tools

    IoT Lab: Arduino IDE, Raspberry Pi OS, Tinkercad Circuits, Proteus, ROS / ROS2, MATLAB/Simulink

    Project / Research Lab: MATLAB, Python, Anaconda, Jupyter Notebook, Google Colab, Visual Studio Code, Eclipse, Git, GitHub Desktop, Docker


  • General Infrastructure

    Computers: Intel Core i5  Workstations (HP / Lenovo) with minimum 8 GB RAM

    Server: Multi-Core Rack Server / AI Computing Server with minimum 32–64 GB RAM, RAID Storage and Network Backup

    Network Switch: Layer-II / Layer-III Gigabit Managed Switches

    Network Connectivity: Gigabit LAN with High-Speed Internet / Wi-Fi Connectivity

    UPS: 60 KVA Centralized UPS with adequate power backup

    Storage & Backup: Centralized NAS / Server-based Storage for Projects, Datasets and Lab Resources

    Total No. of Labs: 2(College)

    Total No. of Computers: 

    Computers: Core i5  (HP / Lenovo)

    Server: IBM 7945 XXX, 6 Core, 2.4 GHz / RPS

    Switch: 8 Layer-II Gigabit Switches

    UPS: 60 KVA Centralized UPS


    3