Department of Artificial Intelligence and Data Science
Programme Educational Objectives (PEOs)
Graduates will be able to Demonstrate technical competence with analytical and critical thinking to understand and meet the diversified requirements of industry, academia and research.
Exhibit technical leadership, team skills and entrepreneurship skills to provide business solutions to real world problems.
Work in multi-disciplinary industries with social and environmental responsibility, work ethics and adaptability to address complex engineering and social problems
Pursue lifelong learning, use cutting edge technologies and involve in applied research to design optimal solutions.
Programme Outcomes (POs)
Engineering knowledge
Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
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.
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.
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.
Modern tool usage
Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
The engineer and society
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.
Environment and sustainability
Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
Ethics
Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
Individual and team work
Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
Communication
Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
Project management and finance
Demonstrate knowledge and understanding of the engineering and management principles and apply these to one‘s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
Life-long learning
Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
PROGRAM SPECIFIC OUTCOMES (PSOs)
Evolve AI based efficient domain specific processes for effective decision making in several domains such as business and governance domains.
Arrive at actionable Foresight, Insight, hindsight from data for solving business and engineering problems
Create,Select and apply the theoretical knowledge of AI and Data Analytics along with practical industrial tools and techniques to manage and solve wicked societal problems
Develop data analytics and data visualization skills, skills pertaining to knowledge acquisition, knowledge representation and knowledge engineering, and hence be capable of coordinating complex projects.
Able to carry out fundamental research to cater the critical needs of the society through cutting edge technologies of AI.