Lab Facilities - Computer Science & Engineering
Java Programming Lab
The Java Programming Lab provides hands-on experience in object-oriented programming using Java. It covers core concepts such as classes, objects, inheritance, polymorphism, exception handling, file I/O,multithreading, and GUI development. Through practical exercises, students enhance problem-solving and coding skills, and gain familiarity with Java libraries and tools. The lab aims to bridge theoretical knowledge with real-world programming applications, preparing students for advanced courses, industry projects, and professional software development using modern Java practices.
Data Structure & Algorithms Laboratory
The Data Structures Lab aims to provide hands-on experience in implementing and manipulating various data structures such as arrays, linked lists, stacks, queues, trees, and graphs. Students learn to write efficient, modular, and optimized code to solve real-world problems. The lab strengthens understanding of algorithmic logic, memory management, and performance analysis, forming a strong foundation for advanced programming, algorithm design, and software development in future courses
Operating Systems Lab
The Operating Systems Lab provides hands-on experience in implementing core concepts of operating systems such as process management, memory management, file systems, and scheduling algorithms.Students will develop programs simulating CPU scheduling, synchronization techniques, deadlock handling, and memory allocation methods. The lab enhances students' understanding of system-level operations and reinforces theoretical concepts through practical implementation using C/C++ or shell scripting in Linux environments, preparing them for system programming and advanced OS topics.
Object Oriented Programming Lab
The Object Oriented Programming Lab provides hands-on experience in applying object-oriented principles such as encapsulation, inheritance, polymorphism, and abstraction using Java or C++.Students will learn to design and implement modular and reusable code through class and object creation, constructors, interfaces, file handling, exception handling, and GUI programming. The lab focuses on solving real-world problems by applying object-oriented design patterns and developing efficient, maintainable software.
Digital Image Processing Lab
This course introduces the fundamental concepts and techniques in digital image processing, equipping students with both the theoretical understanding and practical skills to analyze, enhance, segment, and restore digital images. Beginning with an orientation to the working environment and tools, the course covers essential principles from image acquisition and representation to complex analytical methods including discrete transforms, noise reduction, binary image operations, and advanced segmentation.Students will gain hands-on experience with modern software tools, algorithms for image enhancement,denoising, restoration, and morphological processing, ensuring readiness for research and industry applications in image processing fields.
Advanced Java Lab
This laboratory course focuses on the design and implementation of advanced Java applications, emphasizing practical skills in GUI development, client/server communication, distributed computing, and enterprise-level web solutions. Students will use essential Java frameworks and APIs such as Swing, AWT, Socket programming, RMI, JavaBeans, Servlets, JSP, and EJB. The course balances the development of standalone interfaces and distributed web applications, preparing learners for real-world programming challenges and enterprise-grade software systems.
Python Programming Lab
The Python Programming lab introduces students to the fundamentals of programming using Python. It covers key concepts such as variables, data types, control structures, functions, loops, lists, tuples, dictionaries, and file handling. The lab emphasizes hands-on practice to develop problem-solving and logical thinking skills. Students also explore modules, exception handling, and basic object-oriented programming. By the end of the lab, learners gain practical experience in writing efficient, readable, and modular code, preparing them for advanced topics and real-world applications.
Data Analytics and Visualization Lab
The Data Analytics and Visualization Lab provides practical experience in analyzing and interpreting data using statistical and computational tools. Students learn to clean, process, and explore datasets with software like Python, R, or specialized analytics platforms. The course emphasizes creating meaningful visualizations through libraries such as Matplotlib, Seaborn, or Tableau to communicate insights effectively. Hands-on exercises include data wrangling, exploratory data analysis, and building dashboards. This lab equips students with essential skills to transform raw data into actionable knowledge, fostering critical thinking and decision-making in various real-world domains through data-driven approaches.
Computer Hardware & Network Lab
This course provides a comprehensive understanding of computer networking and PC hardware fundamentals. Students will gain practical skills in networking components, network configuration, LAN and WAN setup, and common internet protocols. The course also emphasizes PC hardware familiarity, troubleshooting, operating system installation, and maintenance procedures. Hands-on lab experiments and projects ensure that students are able to apply theoretical concepts to real-world scenarios, making them proficient in both networking and hardware management.
IoT and Embedded Computing Lab
This course offers an integrated introduction to Embedded Systems and the Internet of Things (IoT), with a strong focus on practical applications using popular hardware platforms like Arduino and Raspberry Pi. Students will develop an understanding of embedded systems concepts, real-time operating systems (RTOS), and IoT fundamentals including sensing, actuation, networking, communication protocols, and sensor networks. The course emphasizes hands-on experience through interfacing sensors, actuators, communication modules, and cloud platforms for IoT data management.Learners will gain technical proficiency in programming and deploying embedded IoT solutions, enabling them to design and implement smart applications in diverse domains.