Department of Master of Computer Applications


Programme: Master of Computer Applications (MCA)

Laboratory Facilities


Data Analytics & Advanced Java Lab (110)

Laboratory courses conducted: -  This laboratory provides hands-on experience in data analytical concepts, object-oriented programming using Java, and web application development using JSP, Spring, and ReactJS. It also covers database management with SQL, Python programming, and DevOps practices, including CI/CD pipelines, automated testing, and microservices deployment using Docker on high-configuration systems.

Softwares: R Studio, MySQL, UXD tools, Jdk, Eclipse,Git, Jenkins and Docker, PyCharm, Android Studio etc.


Big Data Analytics & IOT Lab (111)

Laboratory courses conducted:- Cloudera is an open source platform and the world’s leading Apache Hadoop Solution. The Hadoop ecosystem like HIVE, PIG etc.are used to perform the practicals related to Big Data . Tableau and Power BI are used for Analytics and Visualization
Implementation of IOT is done by using Arduino UNO board and Raspberry Pi with different sensors. The Lab is equipped with high configuration machines.
Other Softwares : Cloudera, Power BI, Tableau ,UXD tools, Android Studio, Eclipse etc.
 


Software Testing & Project Lab (B12)

Laboratory courses conducted: - Software Testing- Manual Testing and Automated Testing with Selenium Tool. Mobile Application Development and Summer project. The Lab is equipped with high configuration machines.

Softwares: SQL SERVER 2008 R2, Visual Studio Code, Visual Studio, Eclipse, Jdk, Figma, PyCharm , Android Studio,Flutter etc


AIML & Cloud Lab (B14)

The Artificial Intelligence and Machine Learning (AI & ML) provides practical exposure to core concepts such as machine learning algorithms, deep learning, neural networks, natural language processing, computer vision, and data analytics using programming languages like Python and R. Industry-standard libraries and platforms such as TensorFlow, Keras,  Scikit-learn, This lab is also equipped with latest  Web Technologies,  DevOps tools. The Lab is equipped with high configuration machines.

Softwares: Python, Visual Studio Code, Node Js, Angular, Git, Jenkins and Docker etc.

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