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AI& DS  | Vision – Mission

Vision:

To establish centre of excellence by nurturing Artificial Intelligence and Data Science engineers through continuous education, research and industrial collaboration to serve the needs of society.

 

Mission:

 

  1. By providing a nurturing environment together with competent human resources in order to develop a diverse pool of skilled Artificial Intelligence and Data Science engineers who uphold professional readiness for the industry.
  2. By providing state of the art facilities and cutting edge technology, we create an optimal learning and research environment, enhancing the capabilities of our Artificial Intelligence and Data Science students and faculty.
  3. By providing avenues for industry partnerships and research collaborations, we facilitate practical experience and innovation, enabling our students to address real world challenges in Artificial Intelligence and Data Science.
  4. By providing a strong foundation in professional ethics and commitment to social responsibility, we equip our students with the values needed to make a positive societal impact as industry ready professionals in the field of Artificial Intelligence and Data Science.

 

PROGRAMME SPECIFIC OUTCOMES (PSO) 

PSO 1: Apply the concepts and practical knowledge in analysis, design and development of Artificial intelligence and Data science solutions to address real world problems and meet the challenges of society. 

PSO 2: Develop computational knowledge and project development skills using advanced tools and techniques for the Employment, Higher studies and Research in Artificial Intelligence and Data science with ethical values.

 

PROGRAMME EDUCATIONAL OBJECTIVES (PEO)

  • PEO1: Develop the next generation of highly skilled graduates equipped with a strong knowledge in Artificial intelligence and Data Science for creating innovative solutions to society’s pressing challenges. 
  • PEO2:To motivate students  to pursue  higher studies in various disciplines  in Artificial Intelligence and Data Science with an  aim of cherishing careers in research and development, academia, industry and entrepreneurship.
  • PEO3: Produce engineers who are professional entrepreneurs and capable of self learning to excel in their career.
  • PEO4 : To prepare graduates who excel in diverse teams upholding  professional ethics and  societal responsibilities.

Program Outcomes (PO)

PO-1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

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.

PO-3: 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.

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 for complex problems.

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.

PO-6: The engineering 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.

PO-7: Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts and demonstrate the knowledge and need for sustainable development.

PO-8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO-9: Individual & team work:  Function effectively as an individual and as a member or leader in diverse teams and in multidisciplinary settings.

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.

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.

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.

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