AID Laboratories

Programming for Problem solving Lab is designed to familiarize students with the basic components of programming, so as to be able to initiate the students into the discipline of Programming Languages. Through this lab students get the ability to design, develop, test and document structured programs in C language. The expectation is that students will become self-sufficient in learning any programming language on their own thereafter

This lab covers core programming basics and program design with functions, Object-Oriented Programming, in-depth data and information processing techniques and high-performance programs designed to strengthen the practical expertise.

This lab reinforces understanding of basic object oriented programming concepts (objects, classes and subclasses, methods) and their expression in Java. Students are able to analyze and design a computer program to solve real world problems based on object-oriented principles and able to write simple Graphical User Interface (GUI) interfaces for a computer program to interact with users, and to understand the event-based GUI handling principles.

Big Data Analytics is a crucial area of study for BTech students, especially those in Computer Science, Artificial Intelligence & Machine Learning, and AI & Data Science specializations. It involves processing and analyzing vast volumes of structured and unstructured data to uncover hidden patterns, correlations, and insights that drive strategic decision-making. A dedicated Big Data Analytics lab equips students with practical skills in handling real-time data using tools and platforms such as Hadoop, Spark, Hive, Pig, and NoSQL databases like MongoDB. Students learn to work with distributed computing frameworks, perform data mining, and develop scalable solutions for industry-scale problems. This hands-on experience is vital for careers in data engineering, analytics, and business intelligence, making them well-prepared for the evolving demands of the digital and data-driven world.