How do you help decide what is best for your child? We are here to guide you!
From allowing students to explore the latest software versions and programs to frequently updating the existing tools and resources, the facilities offered by MVJCE’s Information Science and Engineering department are unparalleled. Our Labs are avant-garde.
Students learn about fundamental concepts such as processes, threads, memory management, file systems, and input/output operations. It can include writing code for process scheduling algorithms, memory allocation techniques, file system operations, etc. Through lab activities, students gain skills in analysing system behaviour, identifying performance bottlenecks, and debugging issues related to process management, memory leaks, or file system corruption
The lab usually begins with an introduction to fundamental data structures such as arrays, linked lists, stacks, queues, trees, and graphs. Students learn about their properties, operations, and applications. It involves analysing the time and space complexity of algorithms associated with different data structures.
Students explore advanced topics in the Java programming language, such as generics and, collections framework. Students learn how to build dynamic web applications using Java technologies such as Servlets, Java Server Pages (JSP), and Enterprise JavaBeans (EJB). database connectivity and interaction using Java Database Connectivity (JDBC) API. Students learn how to connect to relational databases, execute SQL queries, and perform database operations from Java applications.
Students implement algorithms sorting, searching, graph traversal, dynamic programming, divide and conquer, etc. Students learn how to calculate Big O notation and understand the efficiency of algorithms in terms of worst-case, average-case, and best-case scenarios. Focuses on specific algorithm design paradigms such as greedy algorithms, dynamic programming, divide and conquer, or backtracking.
Students learn about the principles of database design, including entity-relationship modelling, normalisation, and schema design. It involves writing and executing SQL queries to retrieve, insert, update, and delete data from databases. Students learn about SQL syntax, data manipulation language (DML), and data definition language (DDL) commands. They learn techniques for securing databases against unauthorised access, data breaches, and other security threats with various authentication, authorisation, encryption, and auditing mechanisms. This could involve developing database-backed web applications, e-commerce platforms, or information management systems.
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.
Full-stack development is the end-to-end development of applications. It includes both the front end and back end of an application. The front end is usually accessed by a client, and the back end forms the core of the application, where all the business logic is applied.
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.
Students learn the principles and techniques of transforming raw data into meaningful visual representations. The lab focuses on understanding different types of charts, graphs, dashboards, and visual encoding methods. It includes hands-on practice using tools like Power BI, Tableau, or Python libraries (e.g., Matplotlib, Seaborn, Plotly) to create insightful visualisations. Through lab activities, students develop skills in identifying the right visualisation for various data types, designing interactive dashboards, interpreting visual data patterns, and effectively communicating insights to support decision-making.
Students explore the fundamentals of parallel programming and gain hands-on experience in writing parallel code to improve computational efficiency. The lab includes implementation of parallel algorithms using paradigms such as shared memory (OpenMP), distributed memory (MPI), and GPU programming (CUDA). Students learn to analyse performance metrics like speedup and efficiency, identify parallelizable components of a problem, and manage synchronisation and communication among processes. Through practical tasks, they develop the ability to design scalable parallel solutions and optimise programs for high-performance computing environments.
Students are introduced to the tools, technologies, and frameworks used for handling and analysing large-scale datasets. The lab involves working with big data platforms such as Hadoop and Spark, and practising data preprocessing, transformation, and analytical tasks on distributed systems. Students learn to write MapReduce programs, use Spark for real-time analytics, and apply machine learning techniques on big data. Through lab activities, they acquire skills in managing big data workflows, building data pipelines, and deriving insights from massive datasets efficiently.
Transform your mind, your life and the world around you at MVJ. Get in touch, schedule a visit or start your admission process today.
MVJ College of Engineering, Near ITPB, Whitefield, Bangalore-560 067