Programme Educational Objectives & Program Outcomes
Programme Educational Objectives
PEO1: Professional Competence
Graduates will establish successful careers in Artificial Intelligence, Data Science, analytics, and related engineering fields by applying strong foundational and technical knowledge.
PEO2: Problem Solving & Innovation
Graduates will analyze real-world, multidisciplinary problems and develop innovative, data-driven, and intelligent solutions using modern tools and technologies.
PEO3: Ethical & Social Responsibility
Graduates will demonstrate ethical conduct, professionalism, and social responsibility, contributing positively to society through responsible use of AI and data.
PEO4: Lifelong Learning & Leadership
Graduates will engage in lifelong learning, higher education, research, or entrepreneurship, and exhibit leadership qualities to adapt to evolving technologies.
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 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 lifelong learning in the broadest context of technological change
Program Specific Outcomes
PSO1:
Graduates will be able to apply core and advanced concepts of Artificial Intelligence and Data Science to analyse and solve complex real-world and multidisciplinary problems.
PSO2:
Graduates will design, develop, and deploy intelligent, data-driven systems using modern tools, algorithms, and industry-relevant technologies.
PSO3:
Graduates will demonstrate ethical responsibility, leadership qualities, and lifelong learning abilities while developing sustainable and socially responsible AI solutions.