INFRASTRUCTURE

Data Structures Lab

This lab is designed to develop skills to design and analyze simple linear and non linear data structures. It strengthen the ability to the students to identify and apply the suitable data structure for the given real world problem. It enables them to gain knowledge in practical applications of data structures.

Design and Analysis of Algorithms Lab

This laboratory enables students to develop efficient solutions using various algorithm design paradigms such as divide-and-conquer, dynamic programming, greedy methods, and backtracking. Students learn to analyze algorithm complexity, optimize performance, and evaluate computational efficiency while solving real-world problems.

Object-Oriented Programming with Java Lab

The Object-Oriented Programming with Java Lab focuses on understanding and implementing object-oriented programming concepts using the Java programming language. Students gain hands-on experience with core OOP principles such as classes and objects, inheritance, polymorphism, abstraction, encapsulation, exception handling, file handling and Collections framework. The laboratory enables students to develop problem-solving skills through practical programming exercises and real-world applications.

Database Management Systems (DBMS) Lab

In DBMS Lab we provide a hands-on to students starting from creating tables to make then execute queries on aggregate function, types of joins, nested queries, correlated nested queries, views and triggers. They also get an understanding on MySql connectivity.

Machine Learning Lab

The Machine Learning Lab provides hands-on experience in developing intelligent systems using supervised, unsupervised, and reinforcement learning techniques. Students work with real-world datasets to perform data preprocessing, feature engineering, model training, evaluation, and deployment using industry-standard tools and frameworks such as Scikit-learn and TensorFlow.

Deep Learning Lab

The Deep Learning Lab focuses on designing and implementing neural network architectures for solving complex problems in computer vision, natural language processing, speech recognition, and healthcare analytics. Students gain practical exposure to Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Transformers, and transfer learning using modern deep learning frameworks.

Data Science Lab

This laboratory enables students to extract meaningful insights from structured and unstructured data through statistical analysis, data visualization, and predictive modeling. Students utilize tools such as Python, Pandas, NumPy, and Matplotlib, to perform exploratory data analysis, business intelligence reporting, and data-driven decision-making.

Big Data and Cloud Technologies Lab

The Big Data and Cloud Technologies Lab introduces students to large-scale data processing, distributed computing, and modern cloud computing platforms. Students gain practical experience with technologies such as Hadoop, Spark, PySpark, MapReduce, and NoSQL databases for efficient analysis of massive datasets. In addition, the lab provides hands-on exposure to cloud computing concepts, including virtualization, cloud service models (IaaS, PaaS, and SaaS), cloud deployment models, containerization, and cloud-based data storage and processing services. Students learn to deploy, manage, and scale applications and data analytics workloads using leading cloud platforms such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform

Generative AI Lab

The Generative AI Lab empowers students to build and experiment with cutting-edge AI models capable of generating text, images, code, audio, and multimedia content. Students explore Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), fine-tuning techniques, multimodal AI systems, and responsible AI practices to develop innovative AI-powered applications.

Project Lab

The Project Lab provides students with an opportunity to apply the knowledge and skills acquired throughout the program to solve real-world problems. Students undertake mini and major projects involving problem identification, system design, implementation, testing, and documentation. The lab promotes innovation, teamwork, project management, and research-oriented thinking.