The AIML department boasts state-of-the-art smart classrooms and labs with high-resolution projectors, audio-visual aids, and reliable internet connectivity, creating an immersive learning environment for dynamic presentations and hands-on coding sessions. Equipped with advanced AI/ML software like TensorFlow, SciLab, PyTorch, and MATLAB, the department’s workstations enable practical application of theoretical knowledge. The seminar hall, with its modern audio-visual setup, hosts regular seminars, workshops, and hackathons, often in partnership with industry leaders, offering students invaluable exposure to real-world applications. An MOU with V Labs supports online platforms and virtual labs, enriching remote learning and collaboration. Integrated Professional Core Courses (IPCC) merge core theory with practical work, while specialized labs provide hardware kits, embedded systems, and IoT resources, empowering students to explore AI-driven hardware projects.
Labs
Digital System Design | MES Lab
The Digital Systems Design a Lab is equipped to provide students with a robust environment for exploring digital systems and computer architecture concepts. The lab is equipped with a projector, white board and internet facility for interactive learning.
The Microcontrollers and Embedded Systems Lab is equipped to provide students with a robust environment for exploring hardware and software experiments. The course covers practical skills in connecting and interfacing devices with the 8086/ARM kit, including LED displays, keyboards, DAC/ADC, and other peripherals. It features 25 systems, providing students with hands-on exposure to microprocessors and coding knowledge related to the 8086 family and ARM architecture. The lab is equipped with a projector, white board and internet facility for interactive learning.
Data Structures Lab | Algorithms Lab
The Data Structures laboratory is equipped to provide students with a robust environment for practical implementation and usage of Data Structures. This lab course strengthens the ability of the students to identify and apply suitable data structure for the given real-world problem. It features 26 client machines powered by Intel i5 9th Gen processors, 16 GB of RAM, and 256 GB SSDs. The lab is equipped with a projector, white board and internet facility for interactive learning.
The lab is also used to carry out the experiments related with Design & Analysis of Algorithms.
DBMS Lab with Mini Project | Machine Learning Lab
The DBMS & Machine Learning Lab is equipped to provide students with a robust environment for exploring database management systems and developing mini projects. It features 26 client machines and 1 server, all powered by Intel i7 8th Gen processors, 16 GB of RAM, and 256 GB SSDs. The lab is equipped with a projector, white board and internet facility for interactive learning.
Mobile Application Development Lab
The MAD with Java Lab is equipped to provide students with a robust environment for exploring object-oriented concepts.
It features 30 machines, including 25 systems with Intel i5 processors, 8 GB RAM, and 1 TB hard drives, alongside 5 high-performance systems featuring Intel i7 processors, 16 GB RAM, and 256 GB SSDs.
The lab is equipped with a projector, white board and internet facility for interactive learning.
Operating System Lab
The lab is used to carry out the experiments related with the operating system concepts such as process scheduling, memory management, and file systems.
IPCC
The IPCC Lab is equipped to provide students with a robust environment for exploring Ability Enhancement Courses. It features 70 systems Intel i7 processors, 16 GB RAM, and 256 GB HDDs. The lab is equipped with a projector, white board and internet facility for interactive learning.
Classrooms
The department boasts seven spacious and well-lit classrooms with projectors. These classrooms also include complete power backup.
Modern amenities such as LCD projectors, Wi-Fi connectivity, and black/green boards create a supportive and innovative learning environment for all students.