Program Educational Objectives (PEOs)

A graduate of the CSE (ARTIFICIAL INTELLIGENCE & MACHINE LEARNING) Program should:

PEO 1: Students will demonstrate their ability to adapt to a rapidly changing environment by having learned  
   and applied new skills and new technologies.

PEO 2:  Apply appropriate theory, practices, and tools to the specification, design, implementation, maintenance,   
and evaluation of computing and artificial intelligence in the workplace.

PEO 3: Graduates will use their knowledge and skills to grow in their careers, to pursue higher studies and
               become entrepreneurs.

Program Specific Outcomes (PSOs)

A graduate of the CSE (ARTIFICIAL INTELLIGENCE & MACHINE LEARNING) Program will:

PSO 1: The ability to understand, analyse and demonstrate the knowledge of human cognition, Artificial
    Intelligence, Machine Learning and data engineering in terms of real world problems to meet the
challenges of the future.

PSO 2: Graduates will be able to develop software applications and products in specialized areas of Artificial   
             Intelligence and Machine Learning.

Program Outcomes (POs)

PO 1: Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

PO 2: Problem Analysis: Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

PO 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.

PO 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.

PO 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.

PO 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.

PO 7: Environment and Sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of need for sustainable development.

PO 8: Ethics: Apply ethical principles and commit to professional ethics, responsibilities, and norms of the engineering practice.

PO 9: Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO 10: Communication: Communicate effectively on complex engineering activities with the engineering community and with society. Some of them are, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

PO 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.

PO 12:Lifelong Learning: Recognize the need for, and have the preparation and ability to engage in independent and lifelong learning in the broadest context of technological change