AIML

The Department of Computer Science and Engineering, established in 1998, has consistently upheld its commitment to quality education, academic excellence, and impactful research for community and industry needs. In 2024, the department is set to launch a new program, B.E. Computer Science and Engineering (Artificial Intelligence and Machine Learning), anticipating a significant contribution to emerging technology education.

The department currently offers the B.E. Computer Science and Engineering program, which has a long-standing record of producing top-performing students who achieve ranks in Anna University examinations. With the upcoming AIML program, the department aims to expand its horizons, preparing students for the rapidly advancing fields of Artificial Intelligence and Machine Learning.

Supported by an accomplished faculty team with diverse expertise, the department has consistently nurtured students to excel in their careers, both nationally and internationally. Faculty members actively engage in presenting and publishing research in reputed conferences and journals. The department also organizes seminars, workshops, and awareness programs, enriching the academic ecosystem.

The curriculum is crafted to instill critical thinking, innovation, and problem-solving skills in students, ensuring they are ready to tackle future challenges. With the introduction of the AIML program, the department is poised to meet the growing demand for AI and ML expertise, fostering a new generation of leaders in these transformative technologies.

• To foster a collaborative ecosystem for students to engage in ethical Artificial Intelligence and Machine Learning research and education, driving innovation that benefits society

• Educate and empower ethical Artificial Intelligence and Machine Learning professionals through rigorous academic programs and industry partnerships.
• Conduct impactful research to address pressing Artificial Intelligence and Machine Learning challenges and promote public awareness.
• Advance Artificial Intelligence and Machine Learning knowledge through cutting-edge research and collaborative initiatives.
• Build a strong and collaborative Artificial Intelligence and Machine Learning community through outreach and engagement.
• Contribute to a trustworthy and sustainable Artificial Intelligence and Machine Learning ecosystem for long-term societal impact.

Graduates can

• 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.

PO# Graduate Attribute

• 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.