Departments
Computer Science & Engineering Department
Laboratory Introduction and Objectives
The Computer Science & Engineering Department houses several state-of-the-art laboratories designed to bridge the gap between theoretical knowledge and practical application. Each lab is equipped with the necessary hardware, specialized software, and toolsets to provide intensive hands-on training across core and advanced computing domains.
1. Programming Laboratory
Introduction:
The Programming Laboratory provides hands-on learning experiences for students to practice fundamental and advanced programming concepts. It is equipped with modern systems and software tools needed for coding, debugging, and executing various programming languages such as C, C++, Java, and Python.
Objectives:
- To develop logical thinking and problem-solving skills.
- To help students understand programming constructs through practical implementation.
- To build strong coding skills required for software development.
- To familiarize students with debugging and code optimization techniques.
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2. Data Structures & Algorithm Laboratory
Introduction:
This lab enables students to implement various data structures (like arrays, linked lists, trees, graphs) and algorithms (like sorting, searching, graph traversal), helping them understand the efficiency and performance of different approaches. It focuses on real-time applications and algorithmic problem solving.
Objectives:
- To understand core data structures and their operations.
- To implement algorithms and analyze their complexities.
- To enhance problem-solving abilities using efficient algorithms.
- To build strong practical foundations for competitive programming and software engineering.
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3. Database Management Systems (DBMS) Laboratory
Introduction:
The DBMS Lab offers practical exposure to database creation, management, and manipulation using SQL and modern database tools (e.g., MySQL, PostgreSQL, Oracle). Students learn how to design, implement, and maintain relational databases.
Objectives:
- To understand database models, schemas, and relationships.
- To design ER diagrams and implement them in SQL.
- To learn data manipulation, stored procedures, and queries.
- To provide a foundation for data-driven application development.
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4. Computer Networks Laboratory
Introduction:
This lab allows students to explore networking concepts such as communication models, routing protocols, socket programming, and network simulation. Students practice configuring networks and understanding data transmission. It is equipped with routers, switches, and network simulation tools like Cisco Packet Tracer/NS3.
Objectives:
- To learn network configuration and troubleshooting.
- To understand protocols and network device behaviours.
- To implement socket programming for communication.
- To simulate and analyze networks using tools like Cisco Packet Tracer/NS3.
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5. Operating Systems Laboratory
Introduction:
The OS Lab helps students understand the working of operating systems through practical exercises in process scheduling, memory management, file handling, and concurrency. Students use system calls and specialized programming environments to implement OS concepts.
Objectives:
- To learn internal OS mechanisms through implementation.
- To work with processes, threads, and synchronization.
- To understand memory allocation strategies.
- To strengthen system-level programming skills.
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6. Web Technology Laboratory
Introduction:
The Web Technology Lab teaches students to build interactive, dynamic websites and web applications using front-end technologies like HTML, CSS, JavaScript, and backend technologies like Node.js, PHP, and modern frameworks.
Objectives:
- To design responsive web pages.
- To develop client-server applications.
- To understand web frameworks and libraries.
- To gain practical experience in full-stack development.
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7. Artificial Intelligence & Machine Learning Laboratory
Introduction:
This lab provides resources for experimenting with AI and ML algorithms using Python, TensorFlow, Scikit-learn, and other industry-standard tools. Students learn practical implementation of classification, regression, clustering, and deep learning models on high-performance machines.
Objectives:
- To understand AI/ML concepts through hands-on practice.
- To implement ML algorithms and evaluate their performance.
- To develop intelligent systems for real-world applications.
- To encourage research and innovation in AI technologies.
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8. Cybersecurity & Ethical Hacking Laboratory
Introduction:
The Cybersecurity Lab offers a controlled, safe environment where students learn techniques for securing networks, ethical hacking, penetration testing, and cryptography using specialized operating systems and tools (e.g., Kali Linux). This lab focuses on defensive and offensive security practices.
Objectives:
- To understand security principles and vulnerabilities.
- To perform ethical hacking and penetration tests.
- To implement encryption and authentication mechanisms.
- To strengthen awareness of cybersecurity threats.
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Department Gallery
Power Systems Lab
Student Project Work
Hands-on Workshop
Robotics Club Activity
Power Systems Lab
Student Project Work
Hands-on Workshop
Robotics Club Activity
Robotics Club Activity
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