Computer Science and Engineering (AI & ML)

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Program Educational Objectives (PEOs)

PEO_1. Graduates will apply knowledge of Artificial Intelligence, Machine Learning, engineering and technology to provide cutting edge solutions for engineering, societal and interdisciplinary problems.

PEO_2. Graduates will pursue successful career as Software Professionals, IT Consultants

and System Administrators.

PEO_3. Graduates will perform their duties with professional skills and ethics.



PO1: Engineering knowledge

Apply the knowledge of mathematics, science, Engineering fundamentals, and an Engineering specialization to the solution of complex Engineering problems in Engineering.

PO2: Problem analysis

Identify, formulate, review research literature, and analyze complex Engineering problems in Computer Engineering 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 of Computer Engineering 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 in Artificial Intelligence, Machine Learning 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 modelling to complex Engineering activities in Computer Engineering 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 practices in Artificial Intelligence and machine learning.

PO7: Environment and Sustainability

Understand the impact of the professional Engineering solutions of Artificial Intelligence and Machine Learning in societal and Environmental contexts, demonstrate the knowledge of, and need for sustainable development.

PO8: Ethics

Apply ethical principles and commit to professional ethics, 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 Skills

Communicate effectively on complex Engineering activities with the Engineering community and with society, 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.



PSO 1: To apply the concepts of Artificial Intelligence and Machine Learning, in analysis, design and development of intelligent systems for Computer Vison, Virtual Reality, Augmented Reality.

PSO 2: To apply concepts of Artificial Intelligence and Machine Learning for specialized areas in Natural Language Processing, Internet of Things, Health care systems.

PSO 3: To develop automated solutions for real world problems using soft computing.