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Program Educational Objtives (PEOs)

PEO 1:Dernonstrate capabilities to develop optimal solution with the help of Artificial Intelligence to the real world engineering problems by applying theory based practical approach of engineering and related engineering disciplines.

PEO 2: Exhibit professional skills, ethical attitude and sensitivity towards society and environment.

PEO 3: Engage in Al & Data science is Lifelong learning for successful adaption to technological changes.

Program Outcomes (POs)

 Artificial intelligence and Data Science graduates will be able to,

  1. Engineering Knowledge: Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems.
  2. Problem Analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development.
  3. Design/ development of solutions: Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required.
  4. Conduct investigations of complex problems: Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions.
  5. Engineering tool usage: Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems.
  6. The Engineer and The World: Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment.
  7. Ethics: Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws.
  8. Individual and Collaborative Team work: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
  9. Communication:Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences.
  10. Project Management and Finance: Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.
  11. Life-Long Learning: Recognize the need for, and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change.   

Program Specific Outcomes (PSO)

Artificial intelligence and Data Science graduates will be able to,

PSO 1: To establish a unique learning environment and to enable the students to face the challenges in Artificial Intelligence and Data Science.

PSO 2: To analysis the role of information and analytics skills and right attitude in students that will help them to succeed and progress in their professional career.

PSO 3: To produce competent engineers with professional ethics with concern to society and environment and life skills.