PROGRAMME EDUCATIONAL OBJECTIVES (PEOs)
B.Tech. – Artificial Intelligence and Data Science
The B.Tech. (Artificial Intelligence and Data Science) Graduates of R.M.K. Engineering College will
PEO 1. Apply the fundamental knowledge of basic sciences, mathematics, computer science, artificial intelligence, and data science to solve socially relevant problems.
PEO 2. Work in multi-disciplinary teams, communicate effectively, and develop world class solutions with the professional knowledge gained by lifelong learning.
PEO 3. Demonstrate ethics, values, integrity, and provide novel innovative solutions during their profession.
PEO 4. Pursue higher studies and research in the areas of Artificial Intelligence and Data Science.
PROGRAMME SPECIFIC OUTCOMES (PSOs)
B.Tech. – Artificial Intelligence and Data Science
After the successful completion of the program, the graduates will be able to:
- Apply the fundamental principles of basic sciences and the knowledge gained from the core concepts of Artificial Intelligence and Data Science to analyze, design and solve complex real world problems.
- Apply strong analytical skills using cutting edge technologies to solve business and engineering problems.
- Excel in Artificial Intelligence and Data Science technologies for career enhancement as an entrepreneur and pursue higher education.
PROGRAM OUTCOMES (POs)
( B.Tech. (Artificial Intelligence and Data Science) )
Engineering Graduates will be able to:
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 modelling 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. 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.
12. 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.
