PEO1: Utilize their proficiencies in the fundamental knowledge of
basic sciences, mathematics, Artificial Intelligence, data science and statistics to build systems
that require management and analysis of large volumes of data.
PEO2: Advance their technical skills to pursue pioneering research
in the field of AI and Data Science and create disruptive and sustainable solutions
for the welfare of ecosystems.
PEO3: Think logically, pursue lifelong learning and
collaborate with an ethical attitude in a multidisciplinary team.
PEO4: Design and model AI based solutions to critical problem domains in the real world.
PEO5: Exhibit innovative thoughts and creative ideas for effective contribution towards
economy building
PROGRAM SPECIFIC OBJECTIVES (PSOs)
PSO1: Evolve AI based efficient domain specific processes for effective
decision making in several domains such as business and governance domains
PSO2: Arrive at actionable Foresight, Insight, and hindsight from
data for solving business and engineering problems.
PSO3: 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.
PSO3: 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
PSO3: Able to carry out fundamental research to cater the critical
needs of the society through cutting edge technologies of AI.
PROGRAM OUTCOMES (POs)
GRADUATE ATTRIBUTE
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 modeling 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 teamwork: 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.
