MIT Mysore

NBA

NAAC

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Computer Science & Engineering (Artificial Intelligence & Machine Learning)

Document

Dr. Ranjith K C

HOD

Department of Computer Science & Engineering (Artificial Intelligence & Machine Learning)

Vission and Mision

Vision

To achieve excellent standards of quality education in the field of Artificial intelligence and Machine Learning.

Mission

To nurture the students with strong fundamentals for a successful carrier in​ the field of artificial intelligence and machine learning. To motivate the students for post-graduation and research. To create impact in the society with continuous research and innovations.

Department Intake

Academic YearSanctioned IntakeAdmitted Students
2023-20246060
2024-20256060

ABOUT THE DEPARTMENT

  • As the Head of the Department of Computer Science and Engineering (Artificial Intelligence & Machine Learning) at Maharaja Institute of Technology Mysore, it is my privilege to welcome you to our newly established department. Founded in 2023 with an intake of 60 students, we are committed to establishing ourselves as a leader in AI education, bridging the gap between traditional computer science and the rapidly evolving field of artificial intelligence. Our curriculum is thoughtfully designed to provide a strong foundation in both computer science and AIML, with an emphasis on practical applications alongside theoretical knowledge in areas such as machine learning, natural language processing, computer vision, and robotics. As a young and dynamic department, we are uniquely positioned to adapt swiftly to the latest advancements in AI. Our mission is to develop not just skilled engineers, but visionary problem-solvers capable of addressing complex challenges through AI-driven solutions. Despite being newly established, we are actively building partnerships with industry leaders and research institutions to provide our students with cutting-edge learning experiences and opportunities. We invite you to join us on this exciting journey as we explore the vast possibilities of artificial intelligence and shape the next generation of AI innovators and leaders.
  • PEO1 Acquire fundamentals and expertise in data engineering skills for professional career in industry, government, academia as innovative engineers.
  • PEO2 Pursue higher studies with research potential.
  • PEO3 Demonstrate professional ethics and attitude as an individual or team member at workplace and function professionally in a global competent world.
  •  
  • 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.
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