Sankalchand Patel College of Engineering

SANKALCHAND PATEL COLLEGE OF ENGINEERING

Sankalchand Patel University

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Dr. Manish M. Patel

Head of the Department
(AI&DS)

Message from The HOD

As the Head of the Department of Artificial Intelligence & Data Science, I am excited to guide a community of learners and innovators in one of the most dynamic fields of technology.

Our focus is on fostering analytical thinking, creativity, and technical expertise to solve real-world challenges using AI and data-driven approaches. With a strong emphasis on research, ethics, and industry readiness, we aim to develop professionals who can lead in the age of automation and smart systems.

Let’s embark on this transformative journey together, unlocking the potential of AI for a better tomorrow.

About

Welcome to the Department of Artificial Intelligence & Data Science at Sankalchand Patel College of Engineering, Visnagar.

In an era driven by AI and big data, our department is committed to equipping students with the skills to harness these transformative technologies. Through a rigorous curriculum, industry collaborations, and research-driven projects, we prepare students to excel in machine learning, deep learning, data analytics, and intelligent systems.

Our state-of-the-art labs and expert faculty ensure a learning experience that is both innovative and industry-relevant. Join us to be at the forefront of the AI revolution and shape the future of intelligent computing.

Vision

To be the front runner in Artificial Intelligence and Data Science domain by providing advance expertise in plethora of concepts to improve/automate Agriculture, Health Care, Manufacturing, Education and Public Utilities.

Mission

  • To build the ability to solve issues both individually and in groups through a rigorous theory and application-based programme that produces highly skilled and driven graduates.
  • Promoting knowledge of fundamental concepts and cutting-edge technologies through research on inter-disciplinary as well as computer science-related themes.
  • Serving our communities both locally and nationally while being acutely conscious of our moral obligations to both our profession and society.

Program Outcomes (POs):

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 modelling 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.

Program Educational Objectives (PEOs):

PEO1:
Nurture students with a strong foundation of core principles in Artificial Intelligence, Data Science, Mathematics and knowledge in analytics courses, by which they can solve and analyze real-world problems.
PEO2:
Work productively as successful Computer professionals in diverse career paths including supportive and leadership roles on multidisciplinary teams or be active in higher studies.
PEO3:
Learn to apply modern skills, techniques, and engineering tools to create computational systems. Understand the recent areas of research in Artificial Intelligence, Machine Learning, Deep Learning, and Data Science and formulate problems from them and perform original work to contribute to the state of the art advancement.
PEO4:
To teach our graduates about the importance of lifelong learning for a successful professional career, as well as to introduce them to ethical principles, leadership, and good citizenship.

Program Specific Outcomes (PSOs):

PSO1:
To be able to design, develop, test, and implement various systems that adhere to provided standards for AI/ML and Data Science related problems.
PSO2:
To be able to create real-world solutions to problems in the various branches of AI & DS while keeping future societal and environmental concerns in mind.
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