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DIVISION OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

Division of Artificial Intelligence and Machine Learning


B.TECH. COMPUTER SCIENCE AND ENGINEERING (ARTIFICIAL INTELLIGENCE)

  • PEO I: Adapt to technological advancements and changing industry trends in artificial intelligence and computer science through continuous professional growth.
  • PEO II: 2.Demonstrate critical thinking and problem-solving skills to create innovative artificial intelligence solutions that meet societal and industrial demands.
  • PEO III: 3.Articulate technical concepts and foster global collaborations through multidisciplinary projects.

    Graduates will have ability to:

    1. Engineering Knowledge: Apply the knowledge of mathematics, natural sciences, engineering fundamentals specialization to the solution of complex engineering problems.
    2. 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.
    3. Design / Development of Solutions: Design solutions for complex engineering problems and design system components or processes that meet specific needs with appropriate consideration for the public health and safety and the cultural, societal and environmental considerations.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
    9. Individual and Team Work: Function effectively as an individual and as a member or leader in diverse teams and in multi-disciplinary settings.
    10. 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.
    11. Project Management and Finance: Demonstrate knowledge and understanding of the engineering and management principles and apply this to one’s own work, as a member and leader in a team, to manage projects and in multi-disciplinary environments.
    12. Life – Long Learning: Recognize the need for and have the preparation and ability to engage in independent and lifelong leaning in the broadest context of technological change.
    • PSO 1: Develop algorithms with the sound knowledge of computer science and engineering for solving problems related to artificial intelligence.
    • PSO 2: Apply advanced programming languages, frameworks and tools to implement Artificial Intelligence algorithms and systems.
    • PSO 3: Analyze and interpret data using statistical and machine learning techniques to derive meaningful insights and support decision-making processes.

    B.TECH. COMPUTER SCIENCE AND ENGINEERING (Artificial Intelligence and Machine Learning)

    • PEO I: Demonstrate proficiency in applying fundamental principles of computer science and engineering with a focus on artificial intelligence and machine learning
    • PEO II: Analyze, design, and implement artificial intelligence and machine learning solutions for real-world problems, considering ethical and societal implications.
    • PEO III: Exhibit effective communication, teamwork and leadership skills, enabling them to execute multidisciplinary projects and collaborations.

      Graduates will have ability to:

      1. Engineering Knowledge: Apply the knowledge of mathematics, natural sciences, engineering fundamentals specialization to the solution of complex engineering problems.
      2. 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.
      3. Design / Development of Solutions: Design solutions for complex engineering problems and design system components or processes that meet specific needs with appropriate consideration for the public health and safety and the cultural, societal and environmental considerations.
      4. 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.
      5. 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.
      6. 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.
      7. 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.
      8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
      9. Individual and Team Work: Function effectively as an individual and as a member or leader in diverse teams and in multi-disciplinary settings.
      10. 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.
      11. Project Management and Finance: Demonstrate knowledge and understanding of the engineering and management principles and apply this to one’s own work, as a member and leader in a team, to manage projects and in multi-disciplinary environments.
      12. Life – Long Learning: Recognize the need for and have the preparation and ability to engage in independent and lifelong leaning in the broadest context of technological change.
      • PSO 1: Design artificial intelligence systems, meeting specified requirements using machine learning, data science and natural language processing principles.
      • PSO 2: Analyze and evaluate algorithms and models for artificial intelligence and machine
      • PSO 3: Design and implement artificial intelligence and machine learning systems that adhere to ethical standards while addressing societal challenges.

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      TESTIMONIALS

      My sincere appreciation & gratitude to the Training & Placement Cell and all the faculties of Karunya Institute of Technology and Sciences for their efforts in imparting quality technical and aptitude training. I am very grateful to them for effectively and sincerely helping me to grab the first ever opportunity that came into my life. From being not eligible for the placements to getting an offer in one of the best product-based companies is a dream come true for me. Above all, I thank Lord Almighty for his grace and mercy on me. I would like to ask the juniors to concentrate on self-study. Respect the faculties and learn from them but do not be dependent on anyone. There are enough resources on the Internet to explore. Nothing can substitute to plain hard work. I had to put in the time and studied continuously for hours every day. I was completely committed to working out to prove to myself that I could do it. Do your best and God will do the rest. All the best!!Read more testimonials........

      I am Celesta Mathews from final year, Computer Sciences Technology, Karunya Institute of Technology and Sciences. I would like to take this opportunity to thank my faculties and all the staff members for the support and guidance I have received. They have helped me throughout my journey to be placed at Nutanix Inc. It was not just about the opportunities they gave me but also the motivation and the spirit to stay updated and aware of the latest trends and technology. The journey was tough but I was well prepared for it. All this helped me to reach a step ahead and start my career in the field that I always wanted to be in.Read more testimonials........