Department of

Artificial Intelligence & Data Science

Explore course




Dean of the Department

Dr.S.Siva Ranjini is the Professor and Dean (CSE and IT) of Sethu Institute of Technology. She is well experienced and dedicated teacher service for more than 16 years in academics and research. She has published papers in more than 15 International Journals in peerreviewed Journals. She has attended more than 20 conferences. She is a recognized supervisor at Anna University and has produced three doctorates. She is awarded “Lilavati Award” in the year 2022 by AICTE.

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Head of the Department

Dr. Rathnamala M.Tech Ph.d is the Head of the Department. She is a distinguished academic with over 16 years of dedicated service in academics and research, She has published papers more than 10 in peer reviewed journal.She is awarded “Lilavathi award by AICTE for the service rendered by her in the field of Literacy and Life Skills and received an “Excellence in Leadership award for Portraying extra ordinary leadership skills,She is a leader who guides the department towards academic excellence, research innovation, industry relevance and equally renowned for her dedication to teaching and mentorship. She is a passionate educator, known for their transformative teaching methods that have ignited the minds of generations of students. Their commitment to nurturing young talents and inspiring the next wave of scholars is commendable.




About the Department

Department of Artificial Intelligence and Data Science started in the year 2021. This Department offers a 4 years B.Tech (Artificial Intelligence and Data Science) Programme. It has a heartfelt team of dedicated faculty members with a sound knowledge in various areas and has the state-of-art facilities for various laboratories and supports smart class learning. It aims to develop students to excel in Data Science specific areas by inducing them to employ mathematical models with indispensable engineering and scientific principles to unravel solutions for life problems in the area of data science.

  • Choice based Credit System.
  • Industry Collaborated Value added Courses.
  • Mentor – Mentee System.
  • Proctoring & Remedial system.

Vision

  • To produce high quality technologists for the dynamic societal needs in the field of artificial intelligence and data science.

Mission

  • Providing quality education and support.
  • Innovation in expert systems and data science.
  • To meet industry expectations.
  • Offering holistic learning ambience.
  • Developing the skills of the students to make successful engineers and entrepreneurs.
  • Creating relationship with the industries for mutual knowledge transfer.
  • Encouraging research activities related to industry and society.

PEO

  • Graduates will succeed as successful engineers in the field of Artificial intelligence and Data Science for pursuing interdisciplinary projects for the development of the nation. [Core Competence]
  • Graduates will work as team leaders and members with professional behavior and ethics. [Professionalism]
  • Graduates will enrich their professional skills through higher studies, employability, and research activities for the benefit of the society. [Life-Long Learning]

PO

  • Interpret data, use software tools to conduct experiments, and apply AI&, machine learning techniques to solve multi-disciplinary problems. [Artificial Intelligence]
  • Apply standard practices, strategies and use appropriate models of data analytics to discover knowledge. [Data Science]

Program Outcomes

  • PO1- Apply the knowledge of mathematics, basic sciences, engineering fundamentals, and computer science and design to the solution of complex engineering problems.(engineering knowledge)
  • PO2- Identify, formulate, review research literature, and analyze complex engineering problems requiring computing solutions to reach substantiated conclusions using the first principles of mathematics, basic sciences, and computer science and design. (problem analysis)
  • PO3- Design solutions for computer-applied complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and cultural, societal, and environmental considerations. (design/development of solutions)
  • PO4- Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions. (conduct investigations of complex problems)
  • PO5- Create, select, and apply appropriate techniques, resources, and modern it tools including prediction and modeling to computing-related complex engineering activities with an understanding of the limitations. (modern tool usage)
  • PO6- Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional computer science and engineering practice. (The Engineer andSociety)
  • PO7- Understand the impact of professional computer science and design solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development. (Environment and sustainability)
  • PO8- Apply ethical principles and commit to professional ethics and responsibilities and norms of the computer science and design practice. (Ethics)
  • PO9- Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings. (Individual and teamwork)
  • PO10- Communicate effectively on complex computer science and design activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions. (Communication)
  • PO11- Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage cost-effective projects in multidisciplinary environments. (Project management and finance)
  • PO12- Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change. (Life-long learning)

Student Testimonials

“Our department and Staffs provide us with the best updated knowledge. Practicals are very well performed which is most important thing for a Engineering student.”

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Balacheran V

III yr, AI&DS

“The university providing me with excellent education and guidance throughout my academic journey, which helped me develop the necessary skills and knowledge required to me.”

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Jebin Joel

II yr, AI&DS

“I am very grateful to attain a quality education to better myself for my future. I truly believe that going through college experiences will have so many different impacts on my life.”

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Sankar Kiran M

III yr, AI&DS

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