Computer Science and Engineering (Artificial Intelligence and Machine Learning)

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Vision of the Department


To emerge as a centre of learning, to produce industry ready, Research and values based professional in the field of AI&ML.


Mission of the Department


M1: - To inculcate latest technical knowledge in the field of AI&ML.
M2: - To enhance and demonstrate the soft and leadership skills in multidisciplinary environment.
M3: - To develop professional ethics for sustainable development of environment and society.


Program Educational Objectives (PEOs)


PEO1: - The graduate will have the ability to adopt and contribute towards the latest technological change in the field of AI&ML.
PEO2: - The graduate will have the ability to be employed as software professionals in industries and /or government organizations.
PEO3: - The graduate will have the ability to provide employment as an entrepreneur or senior level official.


Program Specific Outcomes (PSOs)


PSO1: - The ability to develop machine intelligence system to provide sustainable solutions for the benefit of mankind.
PSO2: - The ability to integrate AI&ML based models to have end to end product.


Program Outcomes


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 solutionsin 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 hie-long learning in the broadest context of technological change.