Educational Objectives & Outcomes

S.No Program Educational Objectives
PEO1 Be able to apply the fundamental principles of computer science, mathematics skills, artificial intelligence and data science skills to solve real world problems
PEO2 Be able to apply their knowledge and skills acquired to solve the issues in real world Artificial Intelligence and Data Science sectors and to develop feasible and viable systems
PEO3 Able to function effectively in their profession and exhibit good competency with social awareness and responsibility.
PEO4 Ability to apply the gained knowledge to improve the society ensuring ethical and moral values.
S.No Program Specific Outcomes
PSO1 Demonstrate AI and data science expertise in giving long-term solutions to real-world challenges by considering societal, environmental, and ethical considerations.
PSO2 Develop skills in the thrust areas ofArtificial Intelligence and Data Science to develop multidisciplinary projects with advance technologies and tools
PSO3 Pursue higher studies in Artificial Intelligence and Data Science in world class universities and do to collaborative research
S.No Program Outcomes
1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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.
7. 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.
8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings
10. 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.
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.
12. 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