Laboratory Facilities
Department of Artificial Intelligence & Data Science
Artificial Intelligence & Machine Learning Laboratory
The laboratory is well established with a WI-FI facility with 70 Intel Core i7 12700k and 12th Gen Asus B660M-A D4 64GB DDR4 RAM and Intel Core i5 processor, 16GB RAM, and 500GB HDD, along with a projector and printer. The laboratory is designed to provide students with hands-on experience in implementing and experimenting with various machine learning algorithms, building predictive models, and developing intelligent systems using Python, R, and specialized AI frameworks.
Programming Languages and Algorithms Laboratory
Programming Languages Laboratory is WI-FI enabled and equipped with 69 desktop systems with an Intel Core i3 processor, 4GB of RAM and 320GB of HDD, a projector, a network switch with 24 ports, and printers. The Laboratory supports the students to upskill with programming languages like C, C++, Java, and Python and makes them proficient in the concepts of data structures, databases, and algorithms, and gives them hands-on experience with essential technologies and frameworks like HTML5, CSS3, JavaScript, ReactJS, and Node.js with Express.js.
Data Analytics and Visualization Laboratory
The Data analytics and visualization lab is equipped with 70 Intel Core i7 processors, 32GB RAM, and multiple GPUs to handle intensive computational demands. The laboratory is designed to provide students with hands-on experience in analyzing and visualizing data using Python, Power BI, Tableau and other specialized tools. This environment empowers students to transform complex data into compelling visual stories, fostering critical thinking and problem-solving abilities.
Computer Vision and Image Processing Laboratory
The Computer vision and image processing lab is equipped with state-of-the-art infrastructure, including high-performance workstations featuring Intel Core i7 processors, 32GB RAM, and multiple GPUs, to support intensive computational requirements. The Laboratory is designed to provide students with hands on experience in image acquisition, processing, analysis and computer vision algorithms using python and matlab. students to tackle real-world challenge in fields like robotics, medical imaging, and autonomous systems.
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