Department of Artificial Intelligence & Data Science (AI & DS) was established in the year 2021 with a goal of creating ethically responsible and self-reliant technocrats. The department offers a four year UG degree program in Artificial Intelligence & Data Science (AI & DS) with an annual intake of 600 students, AI&DS department has the significant infra structural facilities with well-equipped laboratories and hi-tech state of art networked computers with high speed internet facility. The department is gifted with a team of 28 qualified and experienced faculty members who are here to guide the students in all the aspects.
PEO 1: Lead a professional career by acquiring the basic knowledge in the field of specialization and allied Engineering.
PEO 2: Assess the real life problems and deal with them confidently relevance to the society.
PEO 3: Engage in life-long learning by pursuing higher studies and participating in
PEO 4: Exhibit interpersonal skills and able to work as a team for success.
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..
PSO1: Apply the knowledge of data science principles, tools, and techniques to solve various real-world problems.
PSO2: Make use of artificial intelligence to develop intelligent systems in the domain of Healthcare, Education, Agriculture, Manufacturing, Finance, Transport etc.
PSO3: Employ modern computer languages, environments, and platforms in creating career paths to be an entrepreneur, Programmer, and a zest for higher studies.
PSO4: Practice ethics in applying scientific method to model and support multidisciplinary facets of engineering and its societal implications.