ARTIFICIAL INTELLIGENCE AND DATA SCIENCE

PEO and PSOs

Program Education Objectives (PEO) 

 

PEO PEO Focus PEO Statement
PEO1 Preparation To prepare the students with a commitment towards meeting the needs of users within an organizational and societal context through the selection, creation, application, integration and administration of Information Technology projects.
PEO2 Core competence To facilitate students with foundation of mathematical & engineering fundamentals along with knowledge of Information Technology principles and applications and be able to integrate this knowledge in a variety of business and inter-disciplinary setting.
PEO3 Breadth To enable student to exercise problem solving capacity with effective use of analysis, design, development that address idea realization.
PEO4 Professionalism To inculcate students with professional and ethical values with effective communication and collaboration skills leading to participative teamwork having multidisciplinary knowledge useful to the society.
PEO5 Learning Environment

To provide students an academic environment that develops leadership qualities, excellence in subject areas of Information Technology and lifelong learning in every sphere of their life.

 

Program Specific Outcomes (PSOs)

PSO

PSO Statement

PSO1

Solving the real-world problems with the application of Artificial Intelligence and Data Science concepts, theory and algorithms that adequately meet the challenges of present and future.

PSO2

Ability to develop advanced knowledge and skill-sets to innovate technological tools and techniques with optimal use of resources and infrastructure in a competitive environment.

PSO3

Exhibit proficiency in computational knowledge and project development using Artificial Intelligence and data science techniques and tools for effective use in analysis, design and development in a multidisciplinary set-up.

PSO4

Develop high quality research and development aptitude for generation of knowledge and innovative business solutions which are socially and ethically acceptable and recognised by the industry and academia.