Why Artificial Intelligence and Machine Learning 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 distinguished engineering school renowned for its exceptional teaching, groundbreaking research, and impactful public service initiatives and be a sought-after hub of expertise in Artificial Intelligence and Machine Learning.

Mision

To create an empowering environment where intellectual capacity, critical thinking, creativity, and problem-solving abilities of students are nurtured, ensuring their preparedness to thrive in the transformative fields of Artificial Intelligence and Machine Learning. Being committed to instilling these vital skills while upholding the highest ethical standards, enabling students to become innovative contributors to advancement of society.

Programme Educational Objectives

• PEO1:Foundation in Core Concepts: Graduates will possess a strong foundation in mathematics, computer science, and artificial intelligence, enabling them to understand and solve complex technical problems.
• PEO2:Proficiency in AI & ML Techniques: Graduates will be proficient in the application of AI and ML techniques and tools and create innovative solutions.
• PEO3:Research and Development: Graduates will be prepared to engage in research and development activities, while understanding the ethical, societal, and environmental impacts of AI and ML technologies.
• PEO4:Lifelong Learning and Professional Growth: Graduates will engage in lifelong learning through professional development, higher education, and participation in professional communities to stay abreast of emerging technologies and methodologies in AI and ML.
• PEO5:Leadership and Teamwork: Graduates will develop leadership qualities and teamwork skills, will be equipped with entrepreneurial skills and knowledge, enabling them to create startups and contribute to the economic growth by leveraging AI and ML technologies.

Programme Specific Outcomes

• PSO1: AI Problem Solvers: Apply knowledge of mathematics, statistics, and domain-specific concepts in the design, development and evaluation of the machine learning models and algorithms that effectively solve future real world challenges
• PSO2: AI System Developers: Design and implement systems that act intelligently and learn from experience by leveraging a variety of programming languages, frameworks and modern Software tools by adhering to ethical and legal standards in AI development.
• PSO3: AI Innovators and Researchers: Effectively communicate and collaborate with diverse teams and contribute to the transfer of AI research innovations into practical applications.

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.

Faculty List

PAC Members