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Outcome BasedEducationAfter

Program Outcomes(PO's)After

  • PO1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  • PO2: 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.
  • PO3: 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.
  • PO4: 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.
  • PO5: 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.
  • PO6: 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.
  • PO7: 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.
  • PO8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  • PO9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • PO10: 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.
  • PO11: 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
  • PO12: 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.

Programme Educational Objectives(PEO's)After

  • PEO 1: Graduates will apply strong foundations in Computer Science, Artificial Intelligence, and Machine Learning to design and develop innovative solutions for complex and challenging problems in computing and intelligent systems.
  • PEO 2: Graduates will establish successful professional careers in AIML, and related computing domains or pursue higher education and research in advanced areas of Computer Science and Artificial Intelligence.
  • PEO 3: Graduates will demonstrate effective communication, teamwork, leadership, and professionalism, while upholding high standards of ethical responsibility in the development and deployment of AI-driven technologies.
  • PEO 4: Graduates will develop the ability to analyze engineering problems from multidisciplinary perspectives, integrating ethical considerations and promoting sustainable and socially responsible AI and ML solutions.

Programme Specific Outcomes(PSO's)After

  • PSO1: Design and apply the knowledge of intelligent expert systems in image processing, language models and computing techniques of fuzzy logic, neural networks, and genetic algorithms to solve complex, cost-effective machine learning problems.
  • PSO2: Analyze, evaluate, and synthesize real-time solutions for complex problems in computer vision and automations by leveraging Generative AI techniques, diffusion models to conduct applied research and develop intelligent, adaptive systems.
  • PSO3: Apply the principles and techniques of Artificial Intelligence, Machine Learning, and Deep Learning to design, develop, and deploy intelligent systems that meet real-world industrial requirements.

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