AI & Data Science PO & PSO
Program Outcomes (PO) :
1. Apply the knowledge of mathematics, science, engineering fundamentals, and engineering specialization to the solution of complex engineering problems.
2. Identify, formulate, research literature, and analyze engineering problems to arrive at substantiated conclusions using first principles of mathematics, natural, and engineering sciences.
3. Design solutions for complex engineering problems and design system components, processes to meet the specifications with consideration for the public health and safety, and the cultural, societal, and environmental considerations.
4. Use research-based knowledge including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
5. 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. 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. Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
8. Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
9. Function effectively as an individual, and as a member or leader in teams, and in multidisciplinary settings.
10. Communicate effectively with the engineering community and with society at large. Write effective reports documentation.
PO & PSO
Program Specific Outcome (PSOs) :
1. The ability to analyse, design and develop software systems applying the knowledge acquired in core courses such as data science, database, machine learning cloud computing big data and software engineering.
2. The utilization of skills assimilated in basic Data Science Courses to build up expertise in advanced areas of deep learning, NLP, Cloud security, Image & Vision processing etc.
3. Oneself as a global standard Data Science professional with good morals, ethics and sensitivity towards mankind and as a responsible team member.
Course Outcomes