PROGRAM EDUCATIONAL OBJECTIVES (PEOs) |
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- PEO 1
Graduates will apply the knowledge of Artificial Intelligence and Machine Learning to work effectively in interdisciplinary environments and develop innovative solutions to real-world problems.- PEO 2
- Graduates will excel in professional careers or pursue higher education and research in Artificial Intelligence, Machine Learning, and related emerging technologies.
- PEO 3
- Graduates will adapt to rapid technological advancements through lifelong learning, professional development, and continuous skill enhancement.
- PEO 4
- Graduates will demonstrate ethical values, social responsibility, and leadership as engineers or entrepreneurs contributing to sustainable societal development.
PROGRAMME OUTCOMES (POs) |
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- PO 1. Engineering Knowledge (K3):
- Apply knowledge of mathematics, science, engineering fundamentals, and Artificial Intelligence and Machine Learning principles to solve complex engineering problems.
- PO 2. Problem Analysis (K4):
- Identify, formulate, review research literature, and analyze complex engineering problems using first principles of mathematics, natural sciences, and engineering sciences.
- PO 3. Design/Development of solutions (K5):
- Design solutions for complex engineering problems and design system components or processes that meet specified needs with appropriate consideration for public health, safety, and environmental factors.
- PO 4. Conduct investigations of complex problems (K5):
- Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of information to provide valid conclusions.
- PO 5. Modern Tool Usage (K3):
- Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modeling, to complex engineering activities.
- PO 6. The Engineer and Society (A3):
- Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal, and cultural issues relevant to professional engineering practice.
- PO 7. Environment and Sustainability (A2):
- Understand the impact of engineering solutions in societal and environmental contexts and demonstrate knowledge of sustainable development.
- PO 8. Ethics (A3):
- Apply ethical principles and commit to professional ethics, responsibilities, and norms of engineering practice.
- PO 9. Individual and Team Work (A3):
- Function effectively as an individual and as a member or leader in diverse teams and multidisciplinary environments.
- PO 10. Communication (A3):
- Communicate effectively on complex engineering activities with the engineering community and society through reports, presentations, and technical documentation.
- PO 11. Life-long Learning (A2):
- Recognize the need for and engage in independent and life-long learning in the context of technological advancements.
PROGRAMME SPECIFIC OUTCOMES (PSOs)
- PSO 1
- Graduates will be able to apply Artificial Intelligence and Machine Learning techniques using Centre of Excellence laboratories, faculty expertise, and industry-supported platforms to develop intelligent and automated solutions for real-world problems, excel in hackathons, and attain global competency through international certifications and professional excellence.
- PSO 2
- Graduates will be able to design and deploy AI models using emerging technologies such as Generative AI, Large Language Models, and Quantum Computing through research, innovation, and the development of multidisciplinary projects.