GURU GOBIND SINGH POLYTECHNIC NASHIK Affiliated to MSBTE Mumbai, Approved by AICTE New Delhi, DTE Mumbai.

Department

Vision

Artificial Intelligence & Machine Learning Engineering programme striving for excellence in providing transformative Education and enhancing multidisciplinary skills for developing Intellectual, Innovative and Quality Technician/ Engineer/ Entrepreneur which will benefit the Society and the Industrial challenges.

  

Mission

  1. To enhance the knowledge of Artificial Intelligence & Machine Learning Engineering students through rigorous coursework and technical skills, by understanding and providing the needs of Society and Industry.
  2. To benchmark with the best standards of Quality Education in the field of Artificial Intelligence & Machine Learning Engineering.
  3. To enhance the commitment of Artificial Intelligence & Machine Learning Engineering faculty, staff and students by inculcating the spirit of inquisitiveness, teamwork, innovation and professionalism.
  4. Establish a centre of excellence to enhance Academia-Industry partnership work on collaborative projects and encourage Artificial Intelligence & Machine Learning Engineering students to develop micro projects, projects and patents.
  5. To develop students by enhancing emerging technologies in the field of Artificial Intelligence & Machine Learning Engineering and inculcating entrepreneurship quality in them.

  1. PEO 1: Strong Technical Base
    To build a strong foundation in artificial intelligence, machine learning, and computer programming to solve practical problems.

  2. PEO 2: Career and Skill Development
    To prepare students for careers in industry or further education by developing professional skills and hands-on experience in AI/ML tools and technologies.

  3. PEO 3: Ethical and Lifelong Learning
    To encourage ethical behaviour, teamwork, communication, and a mindset for lifelong learning to keep up with emerging technologies.

  1. PSO 1: AI/ML System Development
    Ability to design and develop AI and machine learning models using programming skills and modern tools to solve domain-specific problems.
  2. PSO 2: Practical Problem Solving
    Ability to apply AI/ML concepts to real-world applications like image processing, speech recognition, smart automation, and data analysis.

PO 1. Apply knowledge of mathematics, natural sciences, engineering fundamentals, and an engineering specialization to a wide range of practical procedures and practices.

PO 2. Identify and analyze well-defined engineering problems and reach substantiated conclusions using codified methods of analysis specific to their field of activity.

PO 3. Design solutions for well-defined technical problems and assist in the design of systems, components, or processes to meet specified needs, with appropriate consideration for public health and safety, as well as cultural, societal, and environmental factors.

PO 4.  Conduct investigations of well-defined problems by locating and search relevant codes and catalogues, and by conducting standard tests and measurements.

PO 5. Apply appropriate techniques, resources, and modern computing, engineering and IT tools to well-defined engineering problems, while being aware of their limitations.

PO 6. When solving well-defined engineering problems, evaluate sustainable development impacts to: society, the economy, sustainability, health and safety, legal frameworks and the environment.

PO 7. Understand and commit to professional ethics and the norms of technician practice, including compliance with relevant laws. Demonstrate an understanding of the need for diversity and inclusion.

PO 8. Function effectively as an individual, and as a member or leader in diverse and inclusive teams, in multidisciplinary face-to-face/remote/distributed settings.

PO 9. Communicate effectively and inclusively on well-defined engineering activities with the engineering community and society at large by comprehending the work of others, documenting one’s own work, and giving and receiving clear instructions.

PO 10. Demonstrate awareness of engineering management principles as a member or leader of a technical team and apply them to manage projects in multidisciplinary environments.

PO 11. Recognize the need for, and have the ability for independent updating in the face of specialized technical knowledge.