The Information Science and Engineering Graduates will be able to
PROGRAM EDUCATION OBJECTIVES (PEOs)
Excel as Information Science Engineers with ability to solve wide range of computational problems in IT industry, Government or other work environments.
Pursue higher studies with profound knowledge enriched with academia and industrial skill sets.
Exhibit adaptive skills to develop computing systems using modern tools and technologies in multidisciplinary areas to meet technical and managerial challenges, which meet societal requirements.
Possess the ability to collaborate as a team member and leader with professional ethics to make a positive impact on society.
PROGRAM SPECIFIC OUTCOMES (PSOs)
The ability to understand, analyze and develop computer programs in the areas related to Algorithms, System Software, Web Design, Big Data Analytics, Machine Learning, Internet of Things, Data Science and Networking for efficient design of computer based systems of varying complexity.
The ability to apply standard practices and strategies in software project development using innovative ideas and open ended programming environment with skills in teams and professional ethics to deliver a quality product for business success.
PROGRAM OUTCOMES (POs)
PO1: Engineering knowledge
Apply the knowledge of Engineering Mathematics, Basic Sciences, Engineering Fundamentals, and an engineering specialization to the solution of complex Information Science and Engineering problems.
PO2: Problem analysis
Identify, formulate, review research literature, and analyze complex engineering problems of Information Science and Engineering reaching substantiated conclusions using first principles of Engineering Mathematics and Engineering Sciences.
PO3: Design/Development of solutions
Design solutions for complex Information Science problems and design system components or processes of Information Science and Engineering 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 in Information Science and Engineering.
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 in Information Science and Engineering.
PO6: 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 in Information Science and Engineering.
PO7: Environment and sustainability
Understand the impact of the professional engineering solutions in Information Science and Engineering in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
Apply ethical principles and commit to professional ethics and responsibilities and norms of the Information Science and Engineering practice.
PO9: Individual and team work
Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
Communicate effectively on complex Information Science 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.
PO11: 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.
PO12: 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.