PEO 1: Demonstrate professional and research competence using combined

knowledge in Mathematics, Computing, Artificial Intelligence and Data Science

PEO 2: Apply knowledge and skills in Artificial Intelligence and Data Science to

develop innovative, sustainable and ethically responsible solutions to complex,

multidisciplinary problems

PEO 3: Engage in constructive research, professional growth and lifelong

learning by effectively applying emerging technological expertise

Program Outcomes as stated by NBA: Engineering Graduates will be able to

1.EngineeringKnowledge: Apply knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to solve complex engineering problems.

2.Problem Analysis: Identify, formulate, review research literature, and analyze complex engineering problems to reach substantiated conclusions for sustainable development.

3.Design/Development of Solutions: Design solutions for complex engineering problems and design system components or processes that meet specific needs with appropriate consideration for public health and safety, and cultural, societal, and environmental considerations.

4.Conduct Investigations of Complex Problems: Conduct investigations of complex engineering problems using research-based knowledge, including the design of experiments, modeling, analysis, and interpretation of data to provide valid conclusions

5 .Modern Tool Usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools—including prediction and modeling—while recognizing their limitations, to solve complex engineering problems.

6.The Engineer and the World : Analyze and evaluate societal and environmental aspects while solving complex engineering problems to assess sustainability impacts with reference to economy, health, safety, legal framework, culture, and environment.

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

8. Individual and Team Work: Function effectively as an individual and as a member or leader in diverse and multidisciplinary teams.

9. Communication: Communicate effectively and inclusively within the engineering community and society at large, by being able to comprehend and write effective reports and design documentation, and make effective presentations considering cultural, language and learning differences.

10. Project Management and Finance: Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.

11. 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.

1. Graduates of Artificial Intelligence and Data Science at the time of graduation will be able to

PSO1: Analyze, design and develop sustainable intelligent solutions to address

complex challenges posed by industry and society.

PSO2: Demonstrate data analysis skills to achieve effective insights and decision

making to solve real-life problems.

PSO3: Apply mathematical and statistical techniques to model real-world

problems using appropriate AI algorithms.