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PEO, PO & PSO

Program Specific Outcomes (PSOs) for AI & ML Department

  1. AI & ML Solution Development – Graduates will be able to design, develop, and deploy AI and ML-based solutions by leveraging modern tools, algorithms, and frameworks to solve real-world problems across various domains.
  2. Ethical & Impactful AI Implementation – Graduates will demonstrate the ability to apply AI and ML technologies responsibly, considering ethical, societal, and environmental impacts while ensuring fairness, transparency, and security in AI-driven systems.

Program Educational Objectives (PEOs) for AI & ML Department

  1. Strong Technical Foundation & Lifelong Learning – Graduates will develop a strong foundation in Artificial Intelligence and Machine Learning principles, enabling them to adapt to evolving technologies through continuous learning and advanced studies.
  2. Innovative Problem-Solving & Research – Graduates will be equipped with analytical and problem-solving skills to conduct research, innovate, and develop AI-driven solutions addressing industry and societal challenges.
  3. Professional Ethics & Leadership – Graduates will demonstrate ethical responsibility, teamwork, and leadership qualities in their professional careers, ensuring the responsible development and deployment of AI technologies for the betterment of society.

PROGRAM OUTCOMES (POs)

  1. Engineering Knowledge: Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems.
  2. Problem Analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)
  3. Design/Development of Solutions: Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required. (WK5)
  4. Conduct Investigations of Complex Problems: Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions. (WK8).
  5. Engineering Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems. (WK2 and WK6)
  6. The Engineer & The World: Analyze and evaluate societal & environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment. (WK1, WK5, & WK7).
  7. Ethics: Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)
  8. Individual and Collaborative Team work: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
  9. Communication: Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences.
  10. Project Management & Finance: Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.
  11. Life-Long Learning: Recognize the need for, and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change. (WK8)