• 1. 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.
• 2. 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.
• 3. Think logically, pursue lifelong learning and collaborate with an ethical attitude in a multidisciplinary team.
• 4. Design and model AI based solutions to critical problem domains in the real world.
• 5. Exhibit innovative thoughts and creative ideas for effective contribution towards economy building.

PROGRAM OUTCOMES (POs)

PO# Graduate Attribute

• 1 Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
• 2 Problem analyses: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
• 3 Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
• 4 Conduct investigations of complex problems: 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.
• 5 Modern tool usages: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
• 6 The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
• 7 Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
• 8 Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
• 9 Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
• 10 Communication: Communicate effectively on complex engineering 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.
• 11 Project management and finance: 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 projects and in multidisciplinary environments.
• 12 Life-long learning: : 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.

• 1. Evolve AI based efficient domain specific processes for effective decision making in several domains such as business and governance domains.
• 2. Arrive at actionable Foresight, Insight, hindsight from data for solving business and engineering problems
• 3. 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
• 4. Develop data analytics and data visualization skills, skills pertaining to knowledge acquisition, knowledge representation and knowledge engineering, and hence be capable of coordinating complex projects.
• 5. Able to carry out fundamental research to cater the critical needs of the society through cutting edge technologies of AI.

Contribution 1: Reasonable 2: Significant 3: Strong

• Ms. Y.Jothi Priya, I year student of Artificial Intelligence and Data Science got Gold Medal in the Event of Taekwondo, Anna University Inter Zonal  Level Taekwondo Women Tournament  2023-2024 to be held at Government Engineering College, Bargur on 21.10.2023.
• Artificial Intelligence and Data Science department faculty members are regularly participated in Faculty Development Programme, Conferences and Workshops in various Colleges.
• Yearly more than 20 students are participating in Quiz Competition, Paper Presentation and Short Film Demonstration in various colleges and some of the students obtained first prize and second prizes.  
• Most of the students participated in various sports events like Athletics, Hockey, Volley Ball, Foot Ball, Cricket, and Kabaddi in National level and obtained various prizes.
• Each and every faculty members is assigned a group of 15 to 20 students, who acts as a Mentor in mentoring them during their period of study in this institution.
• NPTEL local chapter is established for students and faculty members appearing for NPTEL online examinations.
• All the students are undergoing skill development programs like Soft Skills, Communication Skills, Aptitude and local reasoning, Group Discussions and Technical Interview Skills.
• Seminars, Workshops and Webinars by experts from both academic and industrial areas are assigned regularly.

• Dr.R.Reka, “Database Management Systems”, Anna University – 2017 Regulation, published by White Coast publications, ISBN-978-81-957838-3-0, September 2022.
• Dr.R.Reka, “Foundations of Data Science”, Anna University – 2021 Regulation, published by White Coast publications, ISBN-978-81-957838-4-7, October 2022.
• Dr.R.Reka, ”Cryptography and Network Security”, Anna University- 2017 Regulation, published by Charulatha  Publications, ISBN – 13: 978 – 93 -5577-988-5, May 2023.

• Dr.R.Reka awarded by Innovative Research & Dedicated Academician Award, The society of Innovative Educationalist & Scientific Research Professional Chennai, Regd. Under TN Govt. societies, Registration act 1975, No.8918.
• Dr.R.Reka Fellowship (FSIESRP) of the Society of Innovative Educationalist & Scientific Research Professional, Chennai, Regd. No: LMF232003319.