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
- Apply the fundamental concepts and techniques of Artificial Intelligence and Machine Learning to analyze and solve complex real-world problems.
- PSO 2
- Design and develop intelligent solutions using Artificial Intelligence and Machine Learning tools, frameworks, and emerging technologies for innovative applications across various domains.
- PSO 3
- Demonstrate professional competence by applying AI and ML knowledge, ethical practices, and lifelong learning skills to succeed as engineers, researchers, or entrepreneurs.