The Data Science Lab accommodates a batch of 32 students per session. It is equipped with 32 desktop PCs powered by Intel Core i5 processors for student use, along with one additional Intel Core i7 desktop system. The lab also features an Epson 3LCD projector (RGB liquid crystal shutter, XGA 1024×768, 4:3 aspect ratio) to support classroom instruction and demonstrations.
Faculty Incharge: Mr. Jayakrishnan A
Lab Incharge: Ms. RESHMA KG
Room No: WAB 411
The Foundation Lab serves as an entry-level computing facility, accommodating a batch of 32 students. It is furnished with 32 Intel Core i5 desktop systems for student use, supplemented by a single Intel Core i7 desktop for demanding workloads. A 3LCD projector with RGB liquid crystal shutter technology, XGA resolution, and a 4:3 aspect ratio supports classroom teaching, enabling instructors to walk students through programming logic and problem-solving exercises on screen. This lab is primarily used for foundational subjects such as Object-Oriented Programming (OOPs) and Data Structures, helping students build strong programming fundamentals early in their academic journey.
Faculty Incharge: Ms. Neenu Jose
Lab Incharge: Ms. Sreelakshmi S
Room No: WAB 410
The Data Analytics Lab is equipped to handle a batch size of 32 students, offering a balanced computing environment for analytical coursework. The lab houses 32 Intel Core i5 desktop systems for student workstations, along with one Intel Core i7 system for advanced processing needs. A 3LCD projector (RGB liquid crystal shutter, XGA 1024×768, 4:3 aspect ratio) facilitates classroom instruction and live demonstrations. The lab is primarily utilized for courses in Database Management Systems (DBMS) and Data Structures, allowing students to practice database design, query optimization, and structured data handling in a practical setting.
Faculty Incharge: Ms. Linta A T
Lab Incharge: Ms. Linet Thomas
Room No: WAB 409
The Applied Statistical Lab, designated as CC3, is designed to support a larger batch size of 39 students. It is equipped with 39 desktop systems featuring 11th Generation Intel Core i3 processors, 8 GB RAM, 256 GB NVMe SSD storage, and 19-inch monitors, offering a modern and responsive computing environment suited for statistical analysis and computational tasks. An Epson 3LCD projector (RGB liquid crystal shutter, XGA 1024×768, 4:3 aspect ratio) supports classroom instruction. The lab is primarily used for coursework in Problem Solving Methodology (PSM) and Data Science (DS), enabling students to apply statistical concepts and computational methods to real-world data problems.
Faculty Incharge: Mr. Jithin K C
Lab Incharge: Ms. Reshma K G
Room No: CC3
The Project Lab is a dedicated space for student project work, accommodating a batch of 35 students at a time. It is equipped with 35 Intel Core i5 desktop systems, providing sufficient computing resources for project development, testing, and debugging. An Epson 3LCD projector (RGB liquid crystal shutter, XGA 1024×768, 4:3 aspect ratio) is available for project presentations, reviews, and progress evaluations. This lab supports a range of project-based learning activities, including major projects, mini-projects, and micro-projects, giving students a collaborative and resource-rich environment to translate theoretical knowledge into practical applications. In addition to its computing infrastructure, the Project Lab ensures that each project batch is assigned a project guide, with licensed and open-source software made available according to project requirements. Training programmes are conducted at the beginning of project work, supported by network and internet facilities. Instructors assist students in setting up systems and laptops, while project guides and coordinators encourage participation in project exhibitions.
Faculty Incharge: Dr. Bineesh M
Lab Incharge: Ms. Sreelakshmi S
Room No: WAB 216 A