Computer Science and Engineering (AI&ML)

Course Overview

Applying AI&ML in data analysis using advanced tools and innovative practices.

Welcome to the Future of Technology

Our Computer Science and Engineering (Artificial Intelligence & Machine Learning) program is designed to equip you with the skills and knowledge needed to thrive in today’s fast-evolving tech landscape. Whether you dream of building intelligent systems, solving complex problems, or leading AI-driven innovation, this program lays the foundation for your success.

Why study Computer Science and Engineering (AI&ML) at Kangeyam Institute of Technology?

Cutting-Edge Curriculum

Explore a curriculum designed by industry experts and academic leaders, covering AI, ML, deep learning, natural language processing, robotics, and more.

Hands-On Learning

Work on real-world projects and case studies to apply your knowledge, build innovative solutions, and gain industry-ready skills.

State-of-the-Art Infrastructure

Access world-class labs, AI-enabled tools, and the latest technologies to enhance your learning experience.

Details

Vision: To equip Engineering graduates with Artificial Intelligence (AI) and Machine Learning (ML) skills, capable of driving advancements through research innovations and ethical considerations towards technology and society

Mission:

  • Cultivate software technical advancements and AI innovative skills in students to excel in their careers.
  • Develop academically accomplished and socially responsible students.
  • Instill ethical, integrity and a comprehensive approach to exploring the diverse applications of AI and meeting industrial expectations.

  • PEO 1 : Apply their technical and leadership competence in the field of computer science towards sustainable outcomes.
  • PEO 2 : Conduct cutting edge research and develop solutions on problems of social relevance.
  • PEO 3 : Work in a business environment, exhibiting team skills, work ethics, adaptability and lifelong learning.

  • Engineering knowledge : Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  • 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.
  • 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.
  • 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.
  • Modern tool usage : Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
  • 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.
  • 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.
  • Ethics : Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  • Individual and team work : Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • 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.
  • 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.
  • 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.

  • PSO1 : Leverage design and programming knowledge to create and automate business solutions using state-of-the-art technology.
  • PSO2 : Strong theoretical foundation leading to excellence in research and provide AI-based solutions to complex real world problems.

60

Intake

4

Years of Study

S.No. Name Category Email ID Position Address

S.No. Name of the Staff Designation Profile
1 Dr. Nagamani T Head of the Department View Profile
2 Mr Rajamuneeswaran G Assistant Professor View Profile
3 Lavanya K Assistant Professor (O.G.) View Profile