Artificial Intelligence and Data Science Department 

  • Programme Educational Objectives (PEO)

    The following specific educational objective aims to achieve  global and regional expectations.

     

    Objective Identifier

     Objectives

     PEO1  -

     

    To equip graduates with a strong foundation in engineering sciences and Artificial Intelligence and Data Science Engineering fundamentals to become effective collaborators, researchers and real-time problem solver with technical competencies.

     PEO2  -

     

    Perceive the limitation and impact of engineering solutions in social, legal, environmental, economic and multidisciplinary contexts.

     PEO3  -

     

    Excel in Industry/technical profession, higher studies, and entrepreneurship exhibiting global competitiveness.

  •  Programme Outcomes (PO)

  • The graduates ofthis programme will demonstrate following abilities and skillset

 

 

Outcome Identifier

Outcomes

PO1 -

Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

 

PO2 -

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.

 

PO3 -

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.

 

PO4 -

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.

 

PO5 -

Modern tool usage: 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.