PEO 1: Apply basic engineering skills and domain knowledge to develop effective computing solutions addressing various social issues.
PEO 2: Succeed in technical or managerial roles in a multidisciplinary environment.
PEO 3: Confront evolving technical challenges in computing.
PSO1 – Professional Skills: Apply learned skills to build optimized solutions in Data Processing, AI, and ML.
PSO2 – Problem-Solving Skills: Analyze data using domain knowledge to extract insights and develop appropriate solutions.
PO1: Apply mathematics, science, and engineering knowledge to solve complex problems.
PO2: Analyze complex problems using scientific and engineering principles.
PO3: Design solutions considering health, safety, and environmental needs.
PO4: Use research methods and data analysis to reach valid conclusions.
PO5: Use modern tools for engineering practices with awareness of limitations.
PO6: Understand societal, legal, and cultural responsibilities.
PO7: Understand the impact of solutions on the environment and promote sustainability.
PO8: Commit to ethics and professional responsibilities.
PO9: Work effectively as an individual and in teams.
PO10: Communicate effectively in reports, presentations, and discussions.
PO11: Apply management principles to lead projects in multidisciplinary teams.
PO12: Engage in lifelong learning in the context of technological advancement.
| Type | Duration | No. of Semesters | No. of Seats | Eligibility |
|---|---|---|---|---|
| Regular | 4 Years | 8 | Total - 120 | 10+2 pass in Physics, Chemistry and Mathematics. |
| Lateral Entry | 3 Years | 6 | --- | --- |