Vision

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1. To prepare globally competent and ethically strong engineering professionals in the domains of artificial intelligence and data science, with a commitment to achieving industry needs and contributing to the progress of society. Mission

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1. To provide contemporary and cutting-edge technical education in Artificial Intelligence and Data Science domain. 2. To impart morality and values in students and faculty through professional conduct. Program Educational Objectives (PEOs)

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PEO1: Achieve strong fundamentals, domain knowledge through projects and industrial training and be updated with recent technology to provide the effective solutions for engineering problems and meet the industry standards. PEO2: Have effective communication, leadership, team building, problem solving, decision making skills and software as well as creative skills by understanding modern issues thereby contributing to their overall personality and career development. PEO3: Able to face the challenges in professional practices in consistency with the societal needs, environmental factors and adherence to professional ethics which will lead to lifelong learning. Program Outcomes (POs)

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Engineering Graduates will be able to: 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 multi-disciplinary 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 multi-disciplinary 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.



PROFILE

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• Department of Artificial Intelligence & Data Science was started in 2020 with the intake of 30. Department has excellent infrastructure and human resources.
• The department has well qualified and experienced staff. Department is enriched with the laboratories. Laboratories are well equipped with latest software and hardware. Students are trained in Computer Programming for engineering applications to meet the IT Industry challenges.
• Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.
• When most people hear the term artificial intelligence, the first thing they usually think of is robots. That's because big-budget films and novels weave stories about human-like machines that wreak havoc on Earth. But nothing could be further from the truth.
• Artificial intelligence is based on the principle that human intelligence can be defined in a way that a machine can easily mimic it and execute tasks, from the most simple to those that are even more complex. The goals of artificial intelligence include learning, reasoning, and perception.
• Data science(DS) is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, machine learning and big data.
• Data science is a "concept to unify statistics, data analysis and their related methods" in order to "understand and analyze actual phenomena" with data. It uses techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, domain knowledge and information science.

PROGRAM

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UG Programme: Bachelor of Artificial Intelligence & Data Science Sanctioned Intake: 30 (2020-21) + 30 (2021-22)=60 Duration: 4 Years Course Code: 517399510