About Department

Artificial Intelligence and Machine Learning was established in 2024 with the aim of enabling students to acquire knowledge in Artificial Intelligence and Machine Learning. This Department offers a 4 year B.E CSE (Artificial Intelligence and Machine Learning) Programme. This course is established to meet the increasing demand for skilled professionals in emerging technologies. This department offers a robust curriculum blending core computing fundamentals like Programming, Data Structures and Algorithms, Database Management Systems, Computer Networks, Web Development, Mobile App Development and advanced AIML concepts like Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, and Generative AI. This department has a heartfelt team of dedicated faculty members with a sound knowledge in various areas and has the state-of-art facilities for various laboratories and supports smart class learning. Becoming an expert in AI will enable you to challenge current ways of working and change the way you perceive most things. Highlighting yourself as someone who strives for positive change, as well as an eagerness to learn the latest technologies could take you a long way in your career.

VISION AND MISSION OF THE DEPARTMENT

Vision
To provide innovative and eminent skilled engineers to the dynamic needs of the emerging trends in the field of Artificial Intelligence and Machine learning.
Mission
  • • To prepare students with intensely conversant in Artificial Intelligence and machine learning and to learn application knowledge in the emerging field.
  • • To Enrich and Empower student’s caliber to contribute to the society positively with this pioneering technology
Programme Offered

B.E CSE (Artificial Intelligence & Machine Learning)

PROGRAM EDUCATIONAL OBJECTIVES (PEOs)

Graduates can
  1. Engineering Knowledge: Apply math, science, and engineering fundamentals to complex problems.
  2. Problem Analysis: Identify and analyze complex problems using research and sustainability principles.
  3. . Design Solutions: Design systems and processes considering health, safety, cost, culture, and environment.
  4. Investigations: Use experiments, modelling, and data analysis to reach valid conclusions.
  5. Engineering Tools: Apply modern tools for modelling and problem-solving, recognizing their limits.
  6. Society & Environment: Assess societal, legal, and environmental impacts of engineering solutions.
  7. Ethics: Commit to ethics, human values, diversity, and legal compliance.
  8. Teamwork: Work effectively as an individual and in multidisciplinary teams.
  9. Communication: Communicate clearly in reports, presentations, and documentation across diverse groups.
  10. Management & Finance: Apply management and economic principles in projects and teamwork.
  11. Lifelong Learning: Engage in continuous learning, adapt to new technologies, and think critically

PROGRAM SPECIFIC OUTCOMES (PSOs)

Graduates should be
  1. Design and develop intelligent computing solutions by applying AI and machine learning techniques to solve real-world problems.
  2. Employ modern AI tools, frameworks, and innovative methods to analyze data, build predictive models, and deliver effective solutions for industrial and societal applications.
  3. Enhance competence in advancements in AI and ML, engage in responsible research, and uphold ethical and professional standards in developing intelligent systems.
FACULTY DETAILS
S.No Name of the faculty Designation Department Date of Joining
1 Dr.P MANIVANNAN Professor & Head CSE(AI&ML) 19.08.2009
2 Mrs.R.THAMARISELVI Assistant Professor CSE(AI&ML) 03.01.2025
3 Ms.A.THENMOZHI Assistant Professor CSE(AI&ML) 03.01.2025