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Department of Artificial Intelligence & Data Science
About Us

Department of Artificial Intelligence & Data Science

Courses Offered

  • UG - B.Tech - Artificial Intelligence And Data Science

Introduction

The Department of Artificial Intelligence and Data Science was established in the year 2022 .The current intake students are 60 for UG Programme. UG Programmes are conducted based on the syllabus prescribed by the Anna University, Chennai. The department is equipped with well qualified and experienced faculty members to improve and enhance the knowledge of the student community. The department has good computing facilities with latest and updated versions of the software. The department conduct periodic workshop, seminar and conferences to help students, research scholars and industries to share a common platform and thereby strengthen the industry AI and Data Science are closely related.

Data Science provides the data and analytical foundation, while AI uses this data to build intelligent systems. Together, AI & DS enable organizations to make data-driven decisions, automate processes, and develop smart applications that improve efficiency and innovation. institution fusion.

Vision

To be one of the leading department in providing quality Technical Education by developing skillful and knowledged professionals with the state of the art technology and creativity in building AI Tools.

Mission

  • Developing practically trained skilled professionals to meet the demands of the corporate world.
  • Creating an ecosystem of academic excellence through the best possible teaching-learning methodology.
  • Grooming professionals with high ethical values and ability to solve real-life problems.

Programme's PEO's, PSO's and PO's

Program Educational Objectives (PEO)

  • PEO1: Utilize their proficiencies in the fundamental knowledge of basic sciences, mathematics, Artificial Intelligence, data science and statistics to build systems that require management and analysis of large volumes of data.
  • PEO2: Advance their technical skills to pursue pioneering research in the field of AI and Data Science and create disruptive and sustainable solutions for the welfare of ecosystems.
  • PEO3: Think logically, pursue lifelong learning and collaborate with an ethical attitude in a multidisciplinary team.
  • PEO4: Design and model AI based solutions to critical problem domains in the realworld.
  • PEO5: Exhibit innovative thoughts and creative ideas for effective contribution towards economy building.

Program Outcomes (POs)

  • 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 to the solution of complex engineering problems.
  • PO2: Problem Analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)
  • PO3: Design/Development of Solutions: Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required. (WK5)
  • PO4: Conduct Investigations of Complex Problems: Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions. (WK8).
  • PO5: Engineering Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling 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 for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment. (WK1, WK5, and WK7).
  • PO7: Ethics: Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)
  • PO8: Individual and Collaborative Team work: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
  • PO9: Communication: Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make 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 and apply these to one's own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.
  • PO11: Life-Long Learning: Recognize the need for, and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change. (WK8)

Program Specific Outcomes (PSOs)

  • PSO1: Evolve AI based efficient domain specific processes for effective decision making in several domains such as business and governance domains.
  • PSO2: Arrive at actionable Foresight, Insight, hindsight from data for solving business and engineering problems
  • PSO3: Create, select and apply the theoretical knowledge of AI and Data Analytics along with practical industrial tools and techniques to manage and solve wicked societal problems

Faculty

S.No Name of the Staff Designation Qualification
1 Mr. S. Noorul Hassan Assistant Professor / HOD M.E.
2 Mr. J. Vijayagajendiran Assistant Professor M.Tech.
3 Mr. P. Sathishkumar Assistant Professor M.E.
4 Mr. P. Yuvaraj Assistant Professor M.E.
5 Mr. G. Aravinth Assistant Professor M.E.
6 Mrs. G. V. Sathiya Priya Assistant Professor M.E.
7 Mrs. V. Indhu Assistant Professor M.E.
8 Mrs. P. Indumathi Assistant Professor M.E.
9 Mrs. S. Agalya Assistant Professor M.E.
10 Mr. P. Venkatraman Assistant Professor M.E.
11 Mrs. M. Janani Assistant Professor M.Tech.
12 Ms. J. Rajapriya Assistant Professor M.E.

Facilities

Infrastructure Facilities

  • Total Number of Classrooms: 08
  • Tutorial Hall: 01
  • Seminar Hall: 01
  • Laboratories: 08
  • Faculty Cabin: 25

Events

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One Day Workshop On AI in Web Development

Department of AIDS Organising on 22.04.2025

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BOOTCAMP for the SKV International School Students

Department of AIDS Organising on 27 March 2025

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International HACKATHON –CODEFEST 2025

Department of AIDS Organising on 20th February, 2025.

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Placements

Projects

Sl.No Academic year Course/Semester Total number of projects Project Details / View
1 2024-2025 Classification of Project (2024-2025) 33
2 BATCH 2024 CS8811 - PROJECT WORK 29
3 BATCH 2023 CS8811 - PROJECT WORK 29
4 2020-2021 CS6811 Project Work / VIII 24
5 2019-2020 CS6811 Project Work / VIII 28
6 2018-2019 CS6811 Project Work / VIII 08
7 2017-2018 CS6811 Project Work / VIII 12

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