B.E. Computer Science
and Design (CSD)

Laboratories

MVJ College of Engineering provides state-of-the-art laboratories and industry-aligned facilities to offer students a practical, hands-on experience in Computer Science and Design. As a student of the Computer Science and Design (CSD) program, you will be exposed to specialised labs with the latest hardware, industry-standard software tools, and high-performance computing systems. The labs are intended to fill the gap between theory and reality, allowing students to work on actual projects. We actively invest in the latest software and modern learning facilities, as we strongly believe in providing our students with the right tools for designing and building extraordinary solutions.

Here is an overview of the excellent Labs available for CSD students at MVJCE:

Data Structures and Applications Laboratory

Data Structures Lab

Data Structures Laboratory is planned to equip students with a strong background in data organisation, manipulation, and algorithmic problem solving. With practical programming experiences, students become proficient in the use of a variety of data structures such as arrays, stacks, queues, linked lists, trees, heaps, and graphs. The lab focuses on the creation of efficient algorithms for searching, sorting, insertion, deletion, and traversal operations. This lab is specifically important in preparing students for software development courses, technical interviews, and careers involving software development, where extensive knowledge of data structures is required.

Operating Systems Lab

The Operating Systems Laboratory exposes students to a hands-on experience of  the basic concepts of operating systems via a sequence of practical programming exercises. Students learn process management, memory management, scheduling algorithms, inter-process communication, file organisation, and disk scheduling. This lab enhances the student’s knowledge about how operating systems function.

Computer Networks Lab

The Computer Networks Laboratory offers students practical experience in analysing network protocols, socket programming, and network simulation software. Students are taught to implement key concepts in networking, like error detection, routing algorithms, DNS simulation, ARP/RARP protocols, and congestion control. They get insights into network behaviour, bandwidth optimisation, and protocol efficiency through hands-on exercises with TCP, UDP, and NS2 simulations. The lab prepares students with the techniques to design and analyse strong communication systems in practical networking scenarios.

Analysis and Design of Algorithms Lab

The Analysis and Design of Algorithms Laboratory educates students on how to understand and implement effective algorithms through different techniques, including divide and conquer, greedy approach, and dynamic programming, backtracking, and branch and bound. In this laboratory, students compute problems, examine time and space complexities, and contrast various algorithms in terms of performance. The lab improves Proficiency in algorithmic thinking, Complexity analysis of algorithms, and efficient implementation of data structures and algorithms.

Computer Graphics and Visualisation Lab

Computer Graphics and Visualisation Laboratory gives students practical experience in the creation and manipulation of visual data with OpenGL. The laboratory allows students to apply fundamental graphics algorithms like Bresenham’s line drawing, Cohen–Sutherland line clipping, and transformation through matrices. Students create applications that deal with 2D and 3D object modelling, animation, lighting effects, and perspective viewing. This laboratory encourages creativity and technical skills and enables students to model real-world environments like 3D rotations, lighting models, and shading techniques.

Database Management Systems Lab

The Database Management Systems Lab offers practical experience in designing, implementing, and managing databases. It fills the gap between theory and practice by providing scenarios to create, query, and maintain databases efficiently. Students acquire skills in SQL, PL/SQL, and NoSQL technologies through various experiments. The lab focuses on data modelling, normalisation, query optimisation, and transaction management. The requirement of modern days is to have an automated system that manages, modifies, and updates data accurately.

OO Design Pattern Lab

The OO Design Pattern Lab provides students with hands-on skills in software design and development following object-oriented concepts. Students apply UML modelling tools to design and develop software systems based on actual case studies. The lab focuses on developing Software Requirements Specifications (SRS), building use case models, class diagrams, sequence diagrams, activity diagrams, and developing software using a 3-layer architecture. By iterative design, coding, and testing, students acquire skills in verifying their systems against the SRS and enhancing software reusability and maintainability through proper design patterns.

Machine Learning Lab

The Machine Learning Laboratory offers students practical exposure to applying core machine learning algorithms like FIND-S, ID3 Decision Trees, Linear Regression, Naive Bayes, Artificial Neural Networks, k-Means Clustering, and k-Nearest Neighbours on real-world datasets. Students learn to implement supervised as well as unsupervised learning methods, evaluate the performance of models based on metrics like accuracy and precision, and utilise tools like Python, Java, and machine learning libraries. This laboratory enables students to close the gap between theory and practice and get ready for more advanced research as well as industry use in AI and data science.

UX/UI Lab

The UI/UX Lab gives students hands-on experience in designing user-centred digital interfaces with practical skills such as designing responsive layouts, creating wireframes with open-source software, and studying different UI interaction patterns. Students participate in design thinking, user research, persona development, and usability testing to grasp the appearance, feel, and operation of a product. With collaborative tools, sketching, prototyping, and ideation processes, students gain end-to-end experience in designing intuitive, accessible, and beautiful user experiences.

Natural Language Processing Lab

The Natural Language Processing Laboratory equips students with practical skills in key NLP techniques such as language modelling (unigram, bigram, trigram), syntactic parsing using context-free grammars, and string similarity computation through Minimum Edit Distance. Students also gain hands-on experience in text classification using the Naive Bayes algorithm and semantic analysis with WordNet. These foundational programs prepare students to build basic NLP systems and contribute to advancements in AI and language technologies.

Robotic Process Automation Design and Development Lab

RPA Design and Development Lab provides experiential learning to automate business processes with UiPath StudioX, allowing students to create automation workflows across a range of applications, including Word, Excel, PowerPoint, browsers, and file systems. By way of a well-structured series of experiments, students learn to use control structures, UI automation, browser navigation, handling files, and manipulating data. The lab also concentrates on real- world activities such as text processing, conditional operations, UI interactions, generation of pivot tables, and presentation automation that enable students to build end-to-end automation solutions and acquire industry-relevant RPA skills.