M Tech - Artificial Intelligence
and Data Science (AI & DS)

Laboratories

In order to produce the next generation of skilled engineers who will play a vital role in building our nation’s infrastructure, we need to provide the best technology so that they have the right tools to develop their skills and hone their creativity. MVJCE’s campus is equipped with all the modern facilities and laboratories needed to train talented AI and DS engineers. The labs of the Artificial Intelligence and Data Science department prepare students for employment, teaching, or research. In these industry-supported labs, students, across semesters, are encouraged to try out a variety of activities and tests. The college actively invests in the latest software and new learning facilities, as we strongly believe in providing our students with the right tools for designing and building extraordinary solutions.

Python for Data Science Laboratory

Python for Data Science Laboratory

This lab introduces students to Python programming with a focus on data analysis and machine learning. Students learn to manipulate data using libraries like NumPy and Pandas, perform data visualisation using Matplotlib and Seaborn, and implement basic machine learning models using scikit-learn. The lab supports hands-on experience in solving real-world problems through data preprocessing, exploratory data analysis (EDA), and predictive modelling.

Algorithms & AI laboratory

The Algorithms & AI lab provides practical exposure to foundational and advanced algorithms in Artificial Intelligence and Data Science. Students implement machine learning algorithms such as linear regression, decision trees, support vector machines, and neural networks. Additionally, classical AI techniques like search algorithms, reasoning systems, and reinforcement learning are practised using Python. The lab enhances problem-solving skills by combining theory with real-time implementation.

Big Data Analytics laboratory

This lab enables students to work with large-scale datasets using big data technologies. Students gain hands-on experience with tools like Apache Hadoop, Spark, and Hive for data storage, processing, and analysis. It covers concepts such as MapReduce programming, real-time data streaming, and batch processing. The lab equips students to manage, analyse, and extract insights from big data in distributed computing environments.

Internet of things and Application laboratory

The IoT lab focuses on building smart applications using sensors, actuators, and microcontrollers like Arduino. Students design and prototype IoT solutions involving data collection, device control, and automation. Projects include LED control, environmental monitoring, obstacle detection, and home automation. The lab also integrates cloud-based services for data storage and analytics, giving students a practical understanding of IoT systems and protocols.

  • Data Structures Lab
  • Design and Analysis of Algorithm Lab
  • Computer Network Lab
  • Database Management Systems Lab
  • System Software & Operating System Lab
  • Computer Graphics Lab
  • Machine Learning Lab
  • IOT Lab
  • AI Lab
  • Web Technology Lab

All these Labs provide hands-on experience to students, to complement the concepts learnt in the classroom, and to help them work out solutions to complex problems.