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Data Science Lab

A data science lab serves as an innovative hub where students explore, analyze, and apply advanced techniques to extract meaningful insights from diverse datasets, fostering hands-on experience and skill development in data-driven problem-solving. It equips future engineers with the expertise needed to address real-world challenges through data-centric approaches. This lab is a hub of innovation, equipped with state-of-the-art facilities for machine and deep learning experiments. Students engage in hands-on exploration of diverse datasets, applying cutting-edge techniques to extract valuable insights. This lab serves as a dynamic learning environment, bridging theoretical knowledge with practical applications in data science. Through machine and deep learning experiments, students gain valuable skills, preparing them for the forefront of technological advancements in the field. The Lab consists of 32 systems with i5, 12th Generation Processor, 8 GB RAM, 256 GB M2 NVME SSD. The internet facility is available in all the systems. This lab is utilized for doing Big Data Analytics Lab, AI and Data Science Lab, Object Oriented Programming in Java Lab, Python and Statistical Programming Lab etc.

Faculty Incharge: Mr. Shine P. Xavier
Lab Incharge: Ms Reshma K G

Project Lab

The project lab functions as a dynamic workspace where students collaborate on practical, hands-on projects, applying theoretical knowledge to solve engineering challenges. It provides a platform for experiential learning, fostering creativity, teamwork, and the application of engineering principles in real-world scenarios. It provides a dynamic space for students to ideate, design, and execute practical engineering projects. Focused on hands-on learning, the lab integrates cutting-edge technologies and industry-oriented projects, fostering a collaborative environment for students to apply theoretical knowledge to real-world challenges. This experiential approach enhances problem-solving skills, creativity, and prepares students for the dynamic demands of the engineering profession. The lab serves as a hub for innovation and practical skill development within the academic curriculum. The Lab consists of 32 systems with i3, 12th Generation Processor, 8 GB RAM, 256 GB NVME SSD. The internet facility is available in all the systems. This lab is utilized for Project, Mini-Project, Data Structures, DBMS etc.

Faculty Incharge: Mr. Jayakrishnan A
Lab Incharge: Ms Reshma K G