Why Artificial Intelligence and Data Science at SIET

1. 100% Placement every year

2. Industry oriented rich curriculum, supported with subject wise industrial visits, engineering exploration labs, skills development courses and internships

Unique Facilities

1. Using online platform for Programming Practice.

2. Industry Training for faculty members

3. Certification Courses with industry Collaboration- Software Testing with Virtusa and Data Analytics with Duccen.

Vision

To be a globally recognized center of excellence in Artificial Intelligence and Data Science, fostering innovation, research, and education to address real-world challenges and contribute to societal advancement. To create a trans-formative learning environment that prepares students to become leaders and innovators in the fields of Artificial Intelligence and Data Science.

Mision

To provide a comprehensive and dynamic curriculum that equips students with the knowledge and skills required to excel in Artificial Intelligence and Data Science.To promote cutting-edge research and development in Artificial Intelligence and Data Science, addressing both fundamental and applied problems.To facilitate internships, co-op programs, and project-based learning to provide students with practical experience and industry exposure.To address the social, legal, and ethical implications of AI and Data Science through dedicated coursework and research initiatives.

Programme Educational Objectives

• PEO1: To ensure that the graduates will be proficient in utilizing the fundamental knowledge of basic sciences, mathematics and computer science for the applications relevant to various streams of Engineering and Technology.
• PEO2: To enrich graduates with the core competencies necessary for applying knowledge of computers and modern tools to develop hardware and software systems by understanding the importance of social, business and environmental needs in the human context.
• PEO3: To enable graduates to think logically, act ethically, pursue lifelong learning and to have the capacity to understand technical issues related to computing systems and to design optimal solutions.
• PEO4: To enable graduates to gain ability and attitude to adapt with emerging technological changes.
• PEO5: To enable graduates to establish themselves as technocrats or entrepreneurs by applying their technical skills to solve real world problems to meet the needs of industry, academia and research.

Programme Outcomes

• PO1:Engineering Knowledge:Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
• PO2: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.
• PO3: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.
• 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.
• 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.
• 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.
• PO7: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.
• PO8:Ethics:Apply ethical principles and commit to professional ethics and responsibilities and norms of the 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.
• PO10: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.
• 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.

Programme Specific Outcomes

• PSO1: Ability to understand the core principles of the theory of computing, programming and data organization and to make use of them in designing, developing and testing software systems with assured quality.
• PSO2: The ability to use software engineering practices and tools in developing complete software based solutions for identified real world problems with the help of acquired knowledge in computer networking and World Wide Web.
• PSO3: The ability to learn new technologies and acquire new skill sets to adapt to the changing requirements in the career and to pursue entrepreneurship.

Faculty List