- BTech. – Artificial Intelligence and Data Science – 4 Years (intake 60)
- B.Tech. –Artificial Intelligence and Data Science – 4 Years (intake 60)
LIST OF FACULTY MEMBERS
ABOUT THE DEPARTMENT
The Department of Artificial Intelligence and Data Science was established in the year 2021. It offers a 4 year B.Tech It has dedicated faculty members specialized in different areas of Computer Science and Engineering.
To be a centre of excellence providing high quality Artificial Intelligence and Data Science education to meet the ever growing needs of the society.
Artificial Intelligence and Data Science department is committed
- To provide quality education to produce Artificial Intelligence and Data Science professionals with social responsibility
- To excel in research in the field of Artificial Intelligence, Machine Learning and Data Science
- To be a learner centric environment with continual progress to meet the global Artificial Intelligence and Data Analytical needs.
Programme Educational Objectives (PEOs)
The following Programme Educational Objectives are designed for B.Tech. Artificial Intelligence and Data Science programme based on the Department Vision & Mission to provide higher engineering education and motivate research in the field of Artificial Intelligence and Data Science.
PEO1: Graduates will be engineering practitioners and leaders, who would help solve industry’s technological problems.
PEO2: Graduates will be engineering professionals, innovators or entrepreneurs engaged in technology development, technology deployment, or engineering system implementation in industry.
PEO3: Graduates will function in their profession with social awareness and responsibility.
PEO4: Graduates will interact with their peers in other disciplines in industry and society and contribute to the economic growth of the country.
PEO5: Graduates will be successful in pursuing higher studies in engineering or management.
PEO6: Graduates will pursue career paths in teaching or research.
Programme Specific Objectives(PSOs)
PSO1: Design and develop intelligent automated systems applying mathematical, analytical, programming and operational skills to solve real world problems
PSO2: Apply Artificial Intelligence techniques, software tools to conduct experiments, interpret data and to solve complex problems.
PSO3: Implement engineering solutions for the benefit of society by the use of Artificial Intelligence and Data Science.
PO1: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO2: 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 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: 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: 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: 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: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
PO8: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO9: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO10: 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: 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: 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.