Department of Artificial Intelligence and Data Science
About Department
The Department of Artificial Intelligence and Data Science is a unique center of MAMCET established in 2022. This Department offers a 4 year B.Tech (Artificial Intelligence and Data Science) Programme. It has a heartfelt team of dedicated faculty members with a sound knowledge in various areas and has the state-of-art facilities for various laboratories and supports smart class learning
Vision
To produce excellent professionals in Artificial Intelligence and Data Science, emphasizing technical excellence, ethics, social responsibility, and alignment with industry and societal needs.
Mission
- To Provide the ambience to become industry ready Professionals, Researchers and Entrepreneurs by offering courses on cutting edge technology for the students.
- To strengthen the Industry-Academia interface that will help the graduates to cater the real time requirements of the Industry.
- To transform lives of the students by nurturing leadership qualities, ethical and human values to serve the National needs.
- To in still in pupils a desire to learn constantly in a connected to address societal issues.
- To develop problem solving and team building skills to promote the sense of societal and ethical responsibilities
Programe Educational Objectives(PEO)
- To make the students to have a successful career in the field of Artificial Intelligence and Data Science and Research.
- To enhance graduates’ capacity and inclination for learning new skills and becoming proficient in technology.
- To develop the graduates’ professional ethics so they can advance society through their job.
PROGRAM OUTCOMES (POs)
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Engineering Graduates will be able to
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PO 1 Engineering Knowledge: Apply the knowledge of mathematics, science, engineering Fundamentals, and an engineering specialization to the solution of complex engineering problems
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PO 2 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.
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PO 3 Design/ Development of Solutions: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
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PO 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
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PO 5 Modern Tool Usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
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PO 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.
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PO 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.
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PO 8 Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
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PO 9 Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
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PO 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.
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PO 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.
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PO 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.
PROGRAM SPECIFIC OUTCOMES(PSOs)
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Apply fundamental knowledge in the analysis and design of various functional systems in the field of Deep learning, Machine learning and Data Analytics.
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Design hardware and software solutions for various real time complex engineering applications
Mr.V.Dhamodharan
Assistant Professor
M.E.COMPUTER SCIENCE AND ENGINEERING M.C.A. MASTER OF COMPUTER APPLICATIONS
Mrs.RK.Maheshwari
Assistant Professor
UG : B.TECH.INFORMATION TECHNOLOGY PG : M.E.COMPUTERSCIENCE AND ENGINEERING
Mrs.S.SOWMIYA
Assistant Professor
UG : B.E.COMPUTERSCIENCE AND ENGINEERING PG : M.E.COMPUTERSCIENCE AND ENGINEERING