Artificial Intelligence & Data Science

The department of Artificial Intelligence and Data Science (AI & DS), a unique department endeavouring the students to impart knowledge on advanced innovations in the field of Artificial Intelligence, Data Science, Machine Learning, Deep Learning etc., The curriculum lay the ground work for the students to gain the skills to perform intelligent data analysis which would be the key integrant in numerous real-world applications.

VISION

The Vision is to achieve International recognition through research and innovation supremacy in Artificial Intelligence.

MISSION

PROGRAMME EDUCATIONAL OBJECTIVES (PEOs)

PEOContent
PEO1Logically think, continue lifelong learning, advance their technical skills to pursue pioneering research in the field of AI and Data Science and collaborate with an ethical attitude in a multidisciplinary team.
PEO2Depict and model Artificial Intelligence based solutions for the critical problem domains in the real
PEO3Demonstrate innovative thoughts and ingenious ideas for effective contribution towards economy

PROGRAMME OUTCOMES (POs)

POTitleContent
PO1Engineering knowledgeApply the knowledge of mathematics, science, engineering fundamentals, and Artificial Intelligence and Data Science basics to the solution of complex engineering problems.
PO2Problem analysisIdentify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
PO3Design/development of solutionsDesign 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.
PO4Conduct investigations of complex problemsUse research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
PO5Modern tool usageCreate, 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.
PO6The engineer and societyApply 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.
PO7Environment and sustainabilityUnderstand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
PO8EthicsApply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO9Individual and team workFunction effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO10CommunicationCommunicate 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.
PO11Project management and financeDemonstrate 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.
PO12Life-long learningRecognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

PROGRAMME SPECIFIC OUTCOMES (PSOs)

PSOContent
PSO1Evolve AI based efficient domain specific processes for effective decision making in several domains such as business and governance domains.
PSO2Create, 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.

Head of the Department

Mr.S.Suresh Kumar

M.E.,(CSE),MISTE.,IAENG.,
Associate Professor / HOD
15 Years of Teaching Experience
NameMr.S.Suresh Kumar
DesignationAssociate Professor / HOD
Educational QualificationM.E.,Ph.D.,MISTE.,IAENG.,
Teaching Experience15 Years

Faculty Directory

Dr.S. Justin Samuel

Phd.,M.E., (AIDS)
Professor
Dr.S. Justin Samuel

 Professor

Ms.S. Madeline Arockiya Shiney

M.E., (CSE)
Assistant Professor
Ms.S. Madeline Arockiya Shiney

Assistant Professor

Mr.S. Lakshmi Narasimhan

ME (CSE)
Assistant Professor
Mr.S. Lakshmi Narasimhan

Assistant Professor

Mrs.P. Sumathi

ME (VLSI DESIGN)
Assistant Professor
Mrs.P. Sumathi

Assistant Professor

Mr.K. Raja Prabhu

M.E., (CSE)
Assistant Professor
Mr.K. Raja Prabhu

Assistant Professor

Mrs.M. Arulmozhi

M.E., (CSE)
Assistant Professor
Mrs.M. Arulmozhi

Assistant Professor