Programme Educational Objectives (PEOs)

  • To train the students in formulating, analyzing, designing and deploying real world problems with a strong foundation in Mathematics, scientific and engineering fundamentals to meet the ever-increasing demand from the AI and DS sector.
  • To build technical skills, soft skills and competencies to collaboratively work in multi-disciplinary projects and diverse professional activities
    To equip graduates to contribute ethically to the needs of society.
  • To inculcate students with the ability to engage in independent and life-long learning in the context of technological changes.

Program Specific Outcomes (PSO’s)

  • To analyze and apply mathematical, computational and modelling methodologies related to Al and DS.
  • Implement Al and DS techniques such as data analytics, machine learning, search algorithms, neural networks and design novel algorithms to solve practical problems.
  • Apply the acquired technical skills in the multi-disciplinary areas of Al and DS such as health care, education, agriculture, intelligent transport, environment, smart systems, etc

Program Outcomes (POs)

POs describe what students are expected to know or be able to do by the time of graduation from the program. Graduate students in AI&DS Engineering should have,

1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
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.
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.
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.
5. 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.
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.
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.
8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
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.
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.
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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