Profile| Programmes Offered| Vision & Mission| PEOs, POs & PSOs| Contact

About Department

The department of Artificial Intelligence and Data Science was started in 2020 with the goal of training students and conducting research in the fields of Artificial Intelligence & Data Science. Bachelor of Technology in Artificial Intelligence and Data Science is a 4-year undergraduate Engineering Degree programme. Artificial Intelligence and Data Science are one of the most rapidly growing technologies which has high lucrative prospects across the globe in all industries. This course aims to bring up budding engineers as connoisseurs in Data Science, Machine Learning, Deep Learning, and other underlying fields of Artificial Intelligence. A well-deployed teaching-learning process of K.S.Rangasamy College of Technology inculcates the young aspiring minds of the students by analyzing the learning needs of every student and provides a conducive environment for learning with parental care. The core Faculty team with well-experienced, dedicated, highly qualified and expertise in the domain area of Artificial Intelligence and Data Science augments the learning capabilities of the students and facilitate them to understand the fundamental concepts through innovative methods of teaching. The Department of Artificial Intelligence and Data Science has laboratories with high-end processing systems with seamless Wi-Fi connectivity, essential software and tools which helps the students to unleash their curiosity to practically implement the methods, algorithms learned in theory classes and analyze the results.

Programmes Offered

B.TECH Artificial Intelligence and Data Science

Vision

To be a leader in providing skill sets for globally competent Engineers, Researchers, Entrepreneurs and Managers in Mechanical Engineering domain.

Mission

To offer quality education through experiential learning using ICT tools and socially–relevant projects.
To engage Faculty and Students in fundamental, heavy engineering and applied research related to energy, environment and safety concerns.
To groom students to venture into successful entrepreneurs and managers.

The PEOs of UG Programme

PEO1: Core Competence: Graduates will demonstrate their technical skills and competency in various applications through the use of Artificial Intelligence and Data Science

PEO2: Successful Career: Graduates will establish their knowledge by adopting Artificial Intelligence and Data Science technologies to solve the real world problems

PEO3: Ethics and life-long learning: Graduates will engage in lifelong learning to excel in their profession with social awareness and responsibility

The POs of UG Programme

PO1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

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 sciences.

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 considerations.

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 practice.

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 development.

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 settings

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 instructions

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 environments.

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.

The PSOs of UG Programme

Engineering Graduates will be able to:

PSO1: Develop IT infrastructure: Ability to design, implement and apply computational skills related to Artificial Intelligence and Data Science

PSO2: Design / Develop software products: Ability to apply tools and techniques to provide successful solutions in the multidisciplinary field

PSO3: Innovative Career: Ability to critique the role of information and analytics for a innovative career, research activities and consultancy.

Contact Details

Department HoD

Dr.E.Mohanraj

9842999825

[email protected]

Training & Placement Co-ordinator

Mrs.S.Sripriya

9962435353

[email protected]

Alumni Co-ordinator

Mrs.S.Sripriya

9962435353

[email protected]

From the Hod's Desk

Dr.E.Mohanraj

Professor & Head

AICTE Faculty ID: 1-461677631 | College ID: CTMEF004

LinkedIn Profile | IRINS Profile | Profile

Mail-ID: [email protected], [email protected]

Dr. Mohanraj Elangovan currently working as an Associate Professor and Head in the Department of Artificial Intelligence and Data Science at K.S.Rangasamy College of Technology, Tiruchengode, Tamil Nadu, India. He has more than 16 years of Experience in Teaching and Research in the domain of Computing. He is a Life Member of ISTE. He is a recognized research supervisor in Anna University, Chennai in the Faculty of Information and Communication Engineering. He has published more than 25 research articles in reputed journals indexed in SCI, SCIE, Web of Science and Scopus. His Research interest includes Artificial Intelligence, Data Science, Machine Learning, Cloud Computing, Image Processing, Network Security, Internet of Things, etc.

Faculty List

2023-24 - View here

Our Intellectuals

Dr.S.Sarumathi

Designation: Professor

Specialization : Data Mining, Data Science, Networking

Dr.C.Nallusamy

Designation:Proferssor

Specialization:Mobile Adhoc Networks

Dr.P.Senthilraja

Designation:Assistant Proferssor

Specialization:Cloud Computing

Mr.M.Thilakraj

Designation:Assistant Proferssor

Specialization:Blockchain