PEO1: Graduates will utilize strong foundational knowledge in basic sciences, mathematics, Artificial Intelligence, Data Science, and statistics to develop systems capable of managing and analyzing large volumes of data.
PEO2: Graduates will enhance their technical competencies to pursue advanced research and professional careers in AI and Data Science, creating innovative, sustainable, and ecosystem-friendly solutions.
PEO3: Graduates will demonstrate logical thinking, lifelong learning, ethical responsibility, and effective collaboration within multidisciplinary teams.
PEO4: Graduates will design, model, and implement AI-based solutions to address complex real-world problems across diverse domains.
PEO5: Graduates will exhibit innovation, creativity, and leadership qualities to contribute effectively to economic growth, societal development, and technological advancement.
PROGRAMME OUTCOMES (POs)
Graduate Attribute
PO1 – Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and engineering specialization to the solution of complex engineering problems.
PO2 – Problem Analysis: Identify, formulate, review research literature, and analyze complex engineering problems to reach 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 specified needs with appropriate consideration for public health and safety, and cultural, societal, and environmental factors.
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 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 their limitations.
PO6 – The Engineer and Society: Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal, and cultural issues and the consequent responsibilities relevant to professional engineering practice.
PO7 – Environment and Sustainability: Understand the impact of professional engineering solutions in societal and environmental contexts and demonstrate knowledge of, and the need for, sustainable development.
PO8 – Ethics: Apply ethical principles and commit to professional ethics, responsibilities, and norms of engineering practice.
PO9 – Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams and multidisciplinary settings.
PO10 – Communication: Communicate effectively on complex engineering activities with the engineering community and society at large, including the ability 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 engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects 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.
PROGRAMME SPECIFIC OUTCOMES (PSOs)
Graduates should be able to:
PSO1: Evolve efficient AI-based, domain-specific processes to enable effective decision-making across various sectors such as business and engineering.
PSO2: Create, select, and apply theoretical knowledge of Artificial Intelligence and Data Analytics along with practical industrial tools and techniques to manage and solve complex societal problems.
PSO3: Undertake fundamental and applied research to address critical societal needs using cutting-edge AI technologies.
PSO4: Develop competencies in data analytics, data visualization, knowledge acquisition, knowledge representation, and knowledge engineering, enabling effective coordination and management of complex projects.
PSO5: Demonstrate the ability to conduct impactful AI-driven research and innovation to provide sustainable solutions for societal advancement.
