Programme Outcomes (POs)
On successful completion of B.Tech. Artificial Intelligence and Data Science, graduating students/graduates will be able to:
PO 1. Engineering knowledge:
Apply the knowledge of mathematics, science, engineering fundamentals, concepts of Artificial Intelligence and data science to solve complex engineering problems
PO 2. Problem analysis:
Identify, review literature, formulate and analyze complex engineering problems using first principles of mathematics and engineering sciences.
PO 3. Design and Development of Solutions:
Design and develop AI based solutions for complex engineering problems with societal and environmental awareness.
PO 4. Complex problem Investigation:
Investigate complex problems by employing skills pertaining to knowledge acquisition, knowledge representation and knowledge engineering to arrive at valid conclusions.
PO 5. Modern Tool Usage:
Evaluate and use Data analysis tools and AI based techniques for effective decision making in business and engineering domains.
PO 6. Societal contribution:
Follow professional engineering practice by applying contextual knowledge to assess societal and legal issues .
PO 7. Environment and Sustainability:
Understand and provide professional engineering solutions taking into consideration environmental and economic sustainability.
PO 8. Ethics:
Follow ethical principles and norms in engineering practice.
PO 9. Individual and Team work:
Function effectively as an individual, team member or leader in diversified environments.
PO 10. Communication:
Communicate and present the actionable insights of data using reports through various modes for all professional activities.
PO 11.Project Management and Finance :
Apply Engineering knowledge and management principles for effective project management in multi-disciplinary environments.
PO 12. Life-long Learning:
Engage in independent life-long learning and skill development for professional and social well being.