Department of Computer Science & Engineering (AIML)

Program Outcomes (POs), Program Educational Objectives (PEOs) and Program Specific Outcomes (PSOs)

Program Outcomes (POs)

1. PO1 —Engineering Knowledge: Apply mathematics, probability & statistics and computing fundamentals to solve AIML problems.
2. PO2 —Problem Analysis: Identify, formulate and analyze AIML problems using data-driven reasoning.
3. PO3 —Design/Development: Design, implement and evaluate AI & ML systems with attention to scalability and reliability.
4. PO4 —Modern Tool Usage: Use contemporary tools for data processing, model building and deployment.
5. PO5 —Ethics & Professionalism: Apply ethical principles including data privacy, fairness and accountability.
6. PO6 —Communication: Communicate technical ideas clearly via reports and presentations.
7. PO7 —Individual & Teamwork: Work effectively as an individual and in multidisciplinary teams.
8. PO8 —Project Management & Finance: Understand basics of project planning, resource allocation and finance.
9. PO9 —Life-long Learning: Engage in independent and continuous learning to keep up with AIML advances.

Program Educational Objectives (PEOs)

Program Specific Outcomes (PSOs)