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Artificial Intelligence and Machine Learning

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About The Department

Artificial Intelligence and Machine Learning

The Department of Computer Science and Engineering (Artificial Intelligence and Machine Learning ) has established in the academic year 2023-2024 with an intake of 30 students. Artificial Intelligence and Machine Learning is a specialized area,that’s regarded as a sub stream in Computer Science and Engineering. The Department of CSE (AIML) is fast growing discipline and developing intelligent solutions to real-life problems.. This Specialization presents strong foundation by using the principles and technologies that consist of many facets of Artificial Intelligence including logic, knowledge representation, probabilistic models, and Machine Learning. The Department has very competent faculty to teach specialized courses. The Department has well-equipped lab facilities. This Discipline is best suited for students seeking to build world-class expertise in Artificial Intelligence and Machine Learning and emerging technologies which help to stand apart in the crowd and grow careers in the upcoming technological era.

DEPARTMENT VISION

To establish a vibrant academic and research environment in Artificial Intelligence and Machine Learning that develops future-ready professionals, promotes impactful innovation, and delivers intelligent solutions across diverse domains.

DEPARTMENT MISSION
  • To deliver a rigorous, research-driven education in Artificial Intelligence and Machine Learning that fosters analytical thinking, innovation, and ethical decision-making, while cultivating technically proficient graduates who contribute to academic and industrial advancement.
  • To equip students with industry-relevant skills and hands-on experience in AI and Machine Learning, promoting innovation and entrepreneurship through real-world projects, internships, and collaborative problem-solving with industry partners.
  • To leverage Artificial Intelligence and Machine Learning to address pressing societal challenges, encourage responsible technology development, and develop professionals committed to ethical impact and inclusive growth.
  • To foster a multidisciplinary learning ecosystem that promotes global collaboration, critical thinking, and lifelong learning in AI and Machine Learning, empowering students to become visionary leaders in a rapidly evolving digital world.

FACULTY PROFILE

Mrs. T. Saraniya

Mrs. T. Saraniya M.E.

Assistant Professor
Mrs. S. Revathi

Mrs. S. Revathi M.E.

Assistant Professor
Mrs. V. Vimala Devi

Mrs. V. Vimala Devi M.E.

Assistant Professor
Ms. E. Aniyarasi

Ms. E. Aniyarasi M.E.

Assistant Professor
Mrs. N. Nithya Priya

Mrs. N. Nithya Priya M.E.

Assistant Professor
PROGRAMME OUTCOMES

Engineering Knowledge: Apply math, science, and engineering fundamentals to complex problems.

Problem Analysis: Identify and analyze complex problems using research and sustainability principles.

Design Solutions: Design systems and processes considering health, safety, cost, culture, and environment.

Investigations: Use experiments, modelling, and data analysis to reach valid conclusions.

Engineering Tools: Apply modern tools for modelling and problem-solving, recognizing their limits.

Society & Environment: Assess societal, legal, and environmental impacts of engineering solutions.

Ethics: Commit to ethics, human values, diversity, and legal compliance.

Teamwork: Work effectively as an individual and in multidisciplinary teams.

Communication: Communicate clearly in reports, presentations, and documentation across diverse groups.

Management & Finance: Apply management and economic principles in projects and teamwork.

Lifelong Learning: Engage in continuous learning, adapt to new technologies, and think critically

PROGRAM EDUCATIONAL OBJECTIVES (PEO’s)
  • Apply their technical competence in computer science to solve real world problems, with technical and people leadership.
  • Conduct cutting edge research and develop solutions on problems of social relevance.
  • Work in a business environment, exhibiting team skills, work ethics, adaptability and lifelong learning.
PROGRAM SPECIFIC OUTCOMES (PSO’s)
  • Exhibit design and programming skills to build and automate business solutions using cutting edge technologies.
  • Strong theoretical foundation leading to excellence and excitement towards research, to provide elegant solutions to complex problems.