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Department of Artificial Intelligence

It is with immense pride and excitement that I welcome you to the newly-launched B.Tech Artificial Intelligence program at SSM College of Engineering. As we inaugurate this program in the academic year 2025, we are embarking on a transformative journey together in a field that is shaping the future of technology and society.

Our department is dedicated to laying a strong theoretical foundation while providing hands-on experience in domains such as Machine Learning, Deep Learning, Natural Language Processing and Data Analytics. Through rigorous coursework, real-world projects, and active research, our aim is to nurture innovation, critical thinking, and ethical responsibility in every student.

This first batch marks a new chapter for our college, and as pioneers, you will help set high standards and traditions for future cohorts. I invite each student to seize every opportunity, leverage the mentorship, and make the most of our state-of-the-art resources.

Together, let us build a vibrant learning community and create intelligent solutions for tomorrow’s challenges.

Wishing you all great success as you become the trailblazers of this program.

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Irfan Photo.JPG

Irfan Rashid

Head of the Department

 

Vision

To become a center of excellence in Artificial Intelligence education, research, and innovation, empowering students to drive technological advancements and ethical solutions that positively impact society.

Mission

  • To provide a strong theoretical and practical foundation in Artificial Intelligence, fostering curiosity, creativity, and analytical thinking.

  • To develop competent professionals through industry-oriented teaching, cutting-edge research, and experiential learning.

  • To nurture innovation and entrepreneurship in AI, encouraging students to address real-world challenges.

  • To promote ethical, responsible, and inclusive application of AI technologies for the greater good of society.

  • ​To cultivate partnerships with industry and academia, ensuring continuous curriculum enrichment and holistic student development.

Programme Educational Objective

  • PEO- 1. Graduates will have strong foundational knowledge and practical skills in Artificial Intelligence, enabling them to pursue successful careers or higher studies in AI and related fields.

  • PEO- 2. Graduates will demonstrate professionalism, leadership, and ethical responsibility while contributing effectively to multidisciplinary teams and adapting to evolving technological environments.

  • PEO- 3. Graduates will apply AI techniques to develop innovative and sustainable solutions addressing real-world challenges, fostering continuous learning and research-driven growth.

Programme Outcomes

  • PO - 1 Engineering Knowledge: Apply the knowledge of mathematics, science, and engineering fundamentals with an AI specialization to solve complex engineering problems.

  • PO - 2 Problem Analysis: Identify, formulate, and analyze complex AI problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

  • PO - 3  Design/Development of Solutions: Design solutions for complex AI-related challenges and develop system components or processes that meet specified needs, considering public health, safety, and cultural and environmental aspects.

  • PO - 4 Conduct Investigations of Complex Problems: Use research-based knowledge and methods, including experiment design, data interpretation, and knowledge synthesis, to provide valid conclusions in AI engineering.

  • PO - 5 Modern Tool Usage: Create, select, and apply appropriate AI techniques, resources, and modern engineering and IT tools—such as predictive analytics and computational intelligence—understanding their limitations.

  • PO - 6 The Engineer and Society: Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal, and cultural issues relevant to professional engineering practices in AI.

  • PO - 7 Environment and Sustainability: Understand the impact of professional AI engineering solutions in societal and environmental contexts and demonstrate knowledge of, and a need for, sustainable development.

  • PO - 8  Ethics: Apply ethical principles and commit to professional ethics, responsibilities, and norms of engineering practice, especially in the AI domain.

  • PO - 9 Individual and Team Work: Function effectively as an individual, as a member, or as a leader in diverse and multidisciplinary teams.

  • PO - 10 Communication: Communicate effectively on complex AI engineering activities with the engineering community and with society at large, including presentations, documentation, and giving and receiving clear instructions.

  • PO - 11 Project Management and Finance: Demonstrate knowledge and understanding of the engineering and management principles required for managing projects in multidisciplinary environments.

  • PO - 12 Lifelong Learning: Recognize the need for, and have the ability to engage in, independent and lifelong learning in the rapidly evolving field of artificial intelligence and related technologies.

Programme Specific Outcomes

  • PSO-1: Graduates will be able to design, analyze, and develop intelligent systems and solutions using core AI techniques such as machine learning, natural language processing, robotics, and data analytics to solve complex, real-world problems effectively.

  • PSO-2: Graduates will demonstrate proficiency in applying programming concepts, modern AI tools, and emerging technologies to innovate, research, and contribute to industry and societal advancements in Artificial Intelligence with ethical and sustainable practices.

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