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

Mission

PEO

PSO

Program Outcomes

  • PO1- Engineering Knowledge Apply knowledge of mathematics, natural science, computing, engineering fundamentals, and an engineering specialization as specified in WK1 to WK4, respectively, to develop solutions to complex engineering problems.
  • PO2- Problem Analysis Identify, formulate, and analyze complex engineering problems, review research literature, and reach substantiated conclusions with consideration for sustainable development (WK1 to WK4).
  • PO3- Design/Development of Solutions Design creative solutions for complex engineering problems and design or develop systems, components, or processes to meet identified needs, considering public health and safety, whole-life cost, net-zero carbon, culture, society, and the environment, as required (WK5).
  • PO4- Conduct Investigations of Complex Problems Conduct investigations of complex engineering problems using research-based knowledge, including the design of experiments, modelling, analysis, and interpretation of data, to provide valid conclusions (WK8).
  • PO5- Engineering Tool Usage Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modelling, while recognizing their limitations to solve complex engineering problems (WK2 and WK6).
  • PO6- The Engineer and the World Analyze and evaluate societal and environmental aspects while solving complex engineering problems, considering their impact on sustainability with reference to the economy, health, safety, legal framework, culture, and the environment (WK1, WK5, and WK7).
  • PO7- Ethics Apply ethical principles and commit to professional ethics, human values, diversity, and inclusion, while adhering to national and international laws (WK9).
  • PO8- Individual and Collaborative Teamwork Function effectively as an individual and as a member or leader in diverse and multidisciplinary teams.
  • PO9- Communication Communicate effectively and inclusively within the engineering community and society at large, including the ability to comprehend and write effective reports and design documentation and deliver effective presentations, considering cultural, language, and learning differences.
  • PO10- Project Management and Finance Apply knowledge and understanding of engineering management principles and economic decision-making to one's own work, as a team member or leader, and to manage projects in multidisciplinary environments.
  • PO11- Life-Long Learning recognize the need for, and possesses the preparation and ability for: i) Independent and lifelong learning. ii) Adaptability to new and emerging technologies. iii) Critical thinking in the broadest context of technological change (WK8).

Student Testimonials

“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.”

Clara R A

IIIyr, 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.”

Sankar Kiran M

IIIyr, AI&DS

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