Department of Master of Computer Applications


Programme: Master of Computer Applications (MCA)

Laboratory Facilities


Advanced Database & Advanced Java Lab

Laboratory courses conducted: - Database Managements Systems with SQL and PL/SQL, Advance Database System - Parallel and Distributed Database, Data warehousing and Data Mining Concepts, Object Oriented Concepts through Java, Web Applications through Servlets, JSP, EJB. The Lab is equipped with high configuration machines.

Softwares: Softwares: R Studio, Oracle11g, Pentaho, Weka7, UXD tools, Visual Paradigm, Jdk 1.8, Netbeans 8.2 etc.

 


Big Data Analytics & IOT Lab

Laboratory courses conducted:-Cloudera is an open source platform and the world’s loading Apache Hadoop Solution.The Hadoop ecosystem like
HIVE,PIG etc.to perform the practicals related to Big Data Analytics and Visualization subject.IOT is a recent technology that creates a network of machines &
devices which can communicate and exchange data with each other through the internet.Implementation of IOT is by using Arduino UNO board with different
sensors.Computer Graphics and Image Processing and Networking with Linux practicals, Mobile Applications, etc. The Lab is equipped with high configuration machines.

Other Softwares : Oracle 11g, UXD tools, Android Studio, Eclipse etc.


Software Testing & Project Lab

Laboratory courses conducted: - Software Testing- Manual Testing and Automated Testing with Selenium Tool. Computer Networks, Unified Modeling Language lab and Summer project. The Lab is equipped with high configuration machines.

Softwares: SQL SERVER 2008 R2, Cisco packet Tracer, Visual Studio 2010, MS Project 2007, Visual Paradigm, etc.

 


Artificial Intelligence & Machine Learning Lab

Laboratory courses conducted: - AIML: Logic Programming, Machine Learning- Supervised and Unsupervised Learning methods, Dimensionality reduction, SVM, Advanced ML Algorithms. DL: Loading the dataset, Data preprocessing techniques, Artificial Neural Networks, Regularization Techniques and Deep Neural network algorithm- Convolutional neural network(CNN)-Recurrent neural network( RNN) using Tensorflow /Keras. Web Technology, .NET, Mobile Applications, User Experience Design (UXD). The Lab is equipped with high configuration machines.

Softwares: Python, Android studio, Visual Studio 2010, Visual Studio 15 prof., SQL SERVER 2008 R2, Cisco packet Tracer etc.

Developed and Maintained by Website Team(Faculty & Students)
©2021 Vivekanand Education Society. All Rights Reserved