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About the Department:

   B. Tech in Artificial Intelligence and Data Science is a blend of Artificial Intelligence and Data Science in the domain of Computer Science and Engineering. This program enables the students to build intelligent machines / bots, software, or applications with a combination of state of the art artificial intelligence/ machine learning, analytics and visualization tools / technologies.
   Artificial Intelligence is a well-established exciting specialization of computer science concerned with methods to make computers or machines more intelligent. It leads to learning from experience, deriving implicit knowledge and predict the future course of actions that people can follow.
   Many successful applications based on machine learning exist already, including systems that analyze past sales data to predict customer behavior (financial management), recognize faces or spoken speech, optimize robot behavior so that a task can be completed using minimum resources, and extract knowledge from data.
   This programme discusses AI methods based in different fields, including neural networks, Machine Learning, Deep Learning, Data Analytics and Data Visualization, in order to present a unified treatment of Societal problems and solutions.

Salient Features of the Department:

  1. Emphasis on hands-on training using Real-world examples and projects that help students apply the skills they learned as part of laboratory sessions.
  2. Humanities and Social sciences is an integral part of the curriculum, particularly covering ethical aspects of AI.
  3. Interacting with experienced industry practitioners to offer context
  4. Building research skills through Project based learning along with undergraduate thesis.
  5. Strong and Eminent certified faculty support both from industry and Academia through various forums such as Hackathons/ workshops
  6. State of the Equipment and Laboratories
  7. Building an echo systems to adopt open source tools/ technologies

What Students will learn:

  1. Understand foundational topics in Computer Science, Artificial Intelligence, Machine Learning and Data Science.
  2. Understand the impact of AI based solutions in an economic, societal, and environment context
  3. Model and analyze a variety of problems using appropriate mathematical/computational concepts of Data Science.
  4. Design and implement intelligent algorithms for solving societal problems by using concepts of AI.
  5. Apply and develop AI algorithms to transform large amount of data into intelligent decisions and/or behavior.