About Us
Artificial Intelligence and Machine Learning (AI&ML) is a rapidly evolving field in computer science focused on extracting valuable insights from data and building intelligent systems. Established in 2022, our AI&ML department offers a 4-year B.E program with an intake of 60 students, aiming to equip them with advanced computational skills and practical knowledge. The curriculum is designed to balance theory and hands-on experience, emphasizing project-based learning, internships, and industry collaborations to prepare students for real-world challenges. Alongside technical expertise, we focus on enhancing communication, teamwork, and leadership skills, ensuring that our graduates are well-rounded professionals ready to drive innovation and make meaningful contributions to society.
Dean of the Department
Dr. S. Siva Ranjini is the Professor and Dean (CSE and IT) of Sethu Institute of Technology. She is a well-experienced and dedicated teacher with more than 16 years of service in academics and research. She has published papers in more than 15 international peer-reviewed journals and attended over 20 conferences. She is a recognized supervisor at Anna University and has produced three doctorates. She received the prestigious “Lilavati Award” in 2022 from AICTE.
Head of the Department
Dr. B. Guruprakash is the Associate Professor and Head of the Department. With an extensive teaching career spanning 19 years, he has gained vast expertise in academia and research. Over the past 8 years, he has been an integral part of this institution, contributing significantly to its academic growth and development. His dedication to research is evident through his publication of 5 papers in reputed journals, showcasing his commitment to advancing knowledge in his field. Additionally, he has actively participated in more than 15 conferences, where he has presented his research findings and engaged in discussions with scholars and experts from various domains. His experience, leadership, and contributions continue to inspire students and faculty members alike.
Core Values
- Quality
- Dedication
- Innovation
- Teamwork
- Gratitude
Vision
- Department Vision CSE (AI & ML) To develop professionals with excellent Research and Innovation skills in the field of Computer Science and Engineering (Artificial Intelligence and Machine Learning) for the benefit of the Industry and Society.
Mission
- To Provide Quality technical education in the field of Computer Science and Engineering (Artificial Intelligence and Machine Learning) to fulfill the aspiration of the students and make them industry ready professionals.
- To provide learner centric ambience.
- To impact critical and rational thinking capabilities, problem solving skills and interpersonal skills to the students leads to Innovators, Entrepreneurs and Leaders.
- To establish effective collaboration with the industry for knowledge transfer.
- To promote Innovative Research and Development activities among the faculty and students.
- To offer skills related to emerging areas of Artificial Intelligence and Machine Learning for the benefits of the society.
PEO
- PEO1 - Graduates will advance in their careers in machine learning or related fields, demonstrating leadership, innovation and expertise in applying machine learning techniques to solve complex problems. (Core Competency)
- PEO2 - Graduates will contribute to the advancement of knowledge in Machine Learning through research, publications and participation in interdisciplinary collaborations. (Professionalism)
- PEO3 - Graduates will engage in life-long learning and professional development activities to stay abreast of emerging trends, technologies and methodologies in machine learning and related disciplines. (Life-Long Learning)
PSO
- PSO1 - Engineering Graduates will demonstrate strong analytical and problem-solving skills, enabling them to identify, analyze and formulate solutions to complex computing problems. (Programming Solutions)
- PSO2 - Engineering Graduates will be able to analyze multi-disciplinary problems and develop optimized solutions by using modern Machine Learning tools and techniques. (Machine Learning)
- PSO3 - Engineering Graduates will be able to apply domain knowledge and Expertise for enhancing capability to transform innovative ideas into reality. (Research Capability)
Program Outcomes
- PO1 - Apply the knowledge of mathematics, basic sciences, engineering fundamentals, and Computer Science and Engineering to the solution of complex engineering problems. (Engineering Knowledge)
- PO2 - Identify, formulate, review research literature and analyze complex engineering problems requiring computing solutions to reach substantiated conclusions using first principles of mathematics, basic sciences, and Computer Science and Engineering. (Problem analysis)
- PO3 - Design solutions for computer applied 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. (Design/development of solutions)
- PO4 - 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. (Conduct investigations of complex problems)
- PO5 - Create, Select and apply appropriate techniques, resources, and modern IT tools including prediction and modeling to computing related complex engineering activities with an understanding of the limitations. (Modern tool usage)
- PO6 - Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional computer science and engineering practice. (The Engineer and society)
- PO7 - Understand the impact of the professional computer science and engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development. (Environment and sustainability)
- PO8 - Apply ethical principles and commit to professional ethics and responsibilities and norms of the computer science and engineering practice. (Ethics)
- PO9 - Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings. (Individual and team work)
- PO10 - Communicate effectively on complex computer science and 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. (Communication)
- PO11 - 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 cost effective projects in multidisciplinary environments.(Project management and finance)
- PO12 - 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. (Life-long learning)