The goal of this Operating systems Laboratory is to have students understand and appreciate the principles in the design and implementation of operating systems software. The lab explains the introduction to operating systems concepts, process management, memory management, file systems, virtualization, and distributed operating systems. The laboratory exercises will include familiarization with UNIX system calls for process management and inter-process communication; Experiments on process scheduling and other operating system tasks through simulation/implementation. Finally, the students would require to apply the operating system concepts by experimenting on either xv6/minix operating systems.

With the rapid development of internet information technology, information and resource exchange through network becomes the most frequent and important way for communication. It provides a comprehensive safety system by evaluating network security, making solution for network security, designing network security system structure, deploying security application technology and constructing full-scale security system, which provide a real network environment so that students can learn theory through practice. Network security lab is used for doing network security experiments mostly and its overall design must meet requirements of various network experiments.

This laboratory highlights on areas of cloud computing concepts, basics and practices. Also students get exposed to tool kits for grid and cloud environment and be familiar with developing web services/Applications in grid framework. Students learn to run virtual machines of different configuration and usage of Hadoop.

From this lab students know the components and structure of mobile application development frameworks for Android OS based mobiles. Also understand how to work with various mobile application development frameworks. They learn to design and implement various mobile applications using emulators.

The Data Science Lab focuses on applying machine learning, data mining, and network analysis to real-world problems in society and industry. The Data Science Lab leverages and amplifies breakthroughs in data science and artificial intelligence (AI) to tackle major societal problems. The Data Science Lab focuses on applying scientific methods and algorithms to extract knowledge and insights from structured and unstructured data and to apply to a broad range of application domains. Some of the key thrust areas include the development of natural language processing-based applications, AI-based expert systems.