OUR DEPARTMENT

The Department of Artificial Intelligence & Data Science aims to produce the engineers with the abilities:

Students will be able to analyse problems, devise and implement solutions, and adapt to changes in technology after four years of graduation.
Participate in higher education and assist in the development of new technologies.
As an individual or member of a team, work ethically to achieve the objectives of the project or organisation.
When putting technical solutions into implementation, work with regard for social attitudes and environmental awareness.

Vision and Mission

VISION

To become a center for excellence in the field of Artificial Intelligence by promoting knowledge based education, innovation and cutting edge research in artificial engineering and data science.

MISSION

To create an environment that encourages students to achieve their potential and pursue their professional goals.
In order to create and develop cutting-edge breakthroughs in artificial intelligence as a whole and as they are connected with other disciplines, it is important to support ongoing research and development efforts in partnership with prestigious enterprises and research centers.
To improve students’ interpersonal talents and human personalities in order to instill entrepreneurial skills that can thrive national growth.

HEAD OF DEPARTMENT

Mr. L. S. Vignesh

Assistant professor / HoD

B.Tech. Artificial Intelligence & Data Science is an undergraduate programme with the need of the time advanced learning paradigms like machine learning, reinforcement learning, deep learning, big data, data sciences and artificial intelligence as a whole. The program's curriculum is created to give students the skills they need to combine cutting-edge technology to create intelligent equipment, software, or applications. Artificial intelligence's main objective is to give computers the capacity to learn from examples and experience in order to address problems without explicit human programming. Such applications are already widely used and are attracting interest in the IT sector. Applications used in financial management that evaluate historical sales data to forecast client behaviour, Recognition of a human face or voice, industrial robotics optimization to produce better results with less human resources.