ABOUT DEPARTMENT
The department of Artificial Intelligence and Data Science (AI&DS) is established during the academic year 2022-23 with an intake of 30 and increased to an intake of 60 in the academic year 2023-24 followed by 120 in the academic year 2024-25. The department is approved by the AICTE, New Delhi, and is affiliated with Anna University, Chennai. Artificial Intelligence and Data Science is a new branch of study that deals the development of data-driven solutions, data visualization tools and techniques to analyse big data. It also incorporates the concepts of machine learning and deep learning model building for solving various computational and real-world problems. AI and Data science is the current trend, ruling the business world and it is highly paid career now.
We prepare and practice a high standard Teaching Learning Process to bestow university curriculum. Our faculty delivers the best learning content through practical components by means of experiments, miniprojects, placement training and entrepreneurial projects which will improve students Higher Order Thinking and support Outcome Based Education.
The main motto of the department is to bring out the technical talent of the younger generation and mould them holistically in such a way that they face the external world with prompt interpersonal and problem-solving skills.
- AICTE Approval No: F.No. Southern/1-10975861789/2022/EOA
- Anna University Approval No.: Lr.No. 02/AFFLN/CAI/TVL/AU/2022-23/9618
VISION
To impart quality education with a cognitive learning environment in order to produce globally competent professionals to solve futuristic societal challenges in the domain of AI&DS.
MISSION
M1: To provide a holistic learning ambiance to develop the skills of the students to become successful engineers and entrepreneurs.
M2: Encouraging research activities related to industry and society for mutual knowledge transfer.
M3: Enabling the graduates to adapt to emerging technologies through innovative thoughts and inspiring leadership skills.
M4: To uphold the highest ethical standards, inculcate values and a spirit of self-sacrifice to serve humanity.
COURSES OFFERED
| Degree | Program | Intake | Year of establishment |
| B.Tech | UG | 120 | 2022 |
MESSAGE FROM HOD
Welcome to Department of Artificial Intelligence & Data Science, Department of ADS was established in 2022. The Department seeks to combine excellence in education with service to the industry. Our vision is to be recognized as innovative and leading Artificial Intelligence & Data Science Department. Our goal is to provide students with a balance of intellectual and practical experiences that enable them to serve a variety of societal needs. In our department students are nurtured to become best software professionals as Project Managers, Data science Engineers, System Analysts or Team leaders in Industry or become Entrepreneurs in their own innovative way.
Head of the Department
Artificial Intelligence & Data Science,
Ponjesly College of Engineering,
Email: ads@ponjesly.com
PROGRAMME EDUCATIONAL OBJECTIVES
PEO 1: To 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.
PEO 2: To advance their technical skills to pursue pioneering research in the field of Artificial Intelligence and Data Science and create disruptive and sustainable solutions for the welfare of ecosystems.
PEO 3: To think logically, pursue lifelong learning and collaborate with an ethical attitude in a multidisciplinary team.
PEO 4: To design and model Artificial Intelligence based solutions to critical problem domains in the real world.
PEO 5: To exhibit innovative thoughts and creative ideas for effective contribution towards economy building.
PROGRAM OUTCOMES
PO1 -Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering
PO2 -Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering
PO3 -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
PO4 -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.
PO5 -Modern tool usage: 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.
PO6 -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
PO7 -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
PO8 -Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO9 -Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary
PO10 -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
PO11 -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
PO12 -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.
PROGRAM SPECIFIC OUTCOMES (PSOs)
PSO 1: To evolve AI based efficient domain specific processes for effective decision making in several domains such as business and governance domains.
PSO 2: To arrive at actionable foresight, insight, hindsight from data for solving business and engineering problems
PSO 3: To 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
PSO 4: To 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
PSO 5: Able to carry out fundamental research to cater the critical needs of the society through cutting edge technologies of AI.
FACULTY LIST (2024-25)
| S.No | Name | Designation | AICTE Code | Qualification | Experience | Date of Joining |
| 1 | Prof.Felsy C | HoD | 1-422467417 | B.E., M.E., (Ph.D)., | 16.7 | 13.02.2008 |
| 2 | Dr. R Megiba Jasmine | Professor | 11598872033 | B.Tech., M.E., Ph.D., | 11.9 | 02.07.2023 |
| 3 | Dr.Ann Romalt | Associate Professor | B.E., M.E.,Ph.D., | 20 | 01.10.2024 | |
| 4 | Prof. S Jesintha Starvin | Associate Professor | 1425573865 | B.Tech.,M.Tech., | 14.7 | 28.02.2009 |
| 5 | Mrs. J Jelba | AP | 1426025685 | B.Tech.,M.E.,(Ph.D) | 13.2 | 19.07.2010 |
| 6 | Mrs. R Sowmiya | AP | 143740599096 | B.Tech.,M.E., | 14.7 | 01.09.2022 |
| 7 | Mrs.S Agnes Sharmily | AP | 143388627261 | B.E., M.E., | 3 | 14.06.2023 |
Faculty Pursuing Ph.D
| S.No | Name | Department | University | Supervisor | Current status | Area of specialization |
| 1 | J Jelba | Information & Communication | Anna University | Dr. Isaac Sajan R | Registration Completed | Cloud Computing |
Computer Lab 1:
Conducting AD3311 Artificial Intelligence Lab and AD3411 Data Science and Analytics Lab in which all systems are configured with the Python3.9 software with the packages like Numpy, Scipy, Matplotlib, Pandas, seaborn, statmodels, Anaconda Distribution.
Computer Lab 3
AD3381 Database Design and Management Lab configured with PostgreSQL, Oracle Database 12,MySQL 8, SQL Server 2022(16.x), Star UML version v5.0.