The Department of Artificial Intelligence & Data Science (AI & DS), established in 2022, offers a four-year undergraduate program in Artificial Intelligence & Data Science (AI & DS) with an annual intake of 60 students. The department's primary goal is to develop algorithms, tools, and techniques that enable machines to perform tasks traditionally requiring human intelligence, such as language understanding, image recognition, and decision-making. By combining strong theoretical foundations with project-based learning experiences, the department ensures students gain proficiency in data science tools and technologies. Equipped with state-of-the-art infrastructure, the department empowers students to engage with the latest advancements in AI and Data Science, preparing them for innovation in these dynamic fields.
Offering well-balanced curriculum to engage the students in a smart learning ambiance for developing competent AI professionals.
To enlighten students to experience in learning, research and industrial collaboration to update their knowledge in the field of Artificial Intelligence and Data Science.
To equip the professionals with high ethical values and ability to solve real-life problems.
Quality
Teamwork
Transparency & Integraity
Societal Services
Women Empowerment
To encourage the professionals in the field of Artificial Intelligence and Data Science contributing globally to the benefit of industry and society.
PEO1:To enable graduates to pursue higher education and research and have a successful career in industries associated with Engineering.
PEO2:Graduates will be able to handle the challenges of rapidly changing technology in real- life problems.
PEO3:Embrace lifelong learning to meet ever changing developments in Artificial Intelligence and Data science.
PEO4:Graduates will attain entrepreneurial skills that allow them to contribute ethically to the need of society.
PO1: Engineering Knowledge: Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems.
PO2: Problem Analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)
PO3: Design/Development of Solutions: Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required. (WK5)
PO4: Conduct Investigations of Complex Problems: Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions. (WK8).
PO5: Engineering Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems. (WK2 and WK6)
PO6: The Engineer and The World: Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment. (WK1, WK5, and WK7).
PO7: Ethics: Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)
PO8: Individual and Collaborative Team work: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
PO9: Communication: Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences
PO10: Project Management and Finance: Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.
PO11: Life-Long Learning: Recognize the need for, and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change.
PSO1:Apply mathematical and statistical models along with suitable algorithms to address and solve computational tasks.
PSO2:Apply the Data Science and Artificial Intelligence techniques to achieve effective insights and decision making to solve real-life problems.
PSO3:Develop software applications and solutions to meet the needs of industry and society.
04562-239600
hod_aids@psr.edu.in
Head Dept. of Electrical and Electronics Engineering, P.S.R. Engineering College, Sevalpatti, Sivakasi – 626 140, Virudhunagar District, Tamil Nadu, India. muniraj@psr.edu.in
Head Dept. of Computer Science and Engineering, PSR Engineering College, Sevalpatti, Sivakasi – 626 140, Virudhunagar District, Tamil Nadu, India. ramathilagam@psr.edu.in
Head Dept. of Electronics and Communication Engineering, PSR Engineering College, Sevalpatti, Sivakasi – 626 140, Virudhunagar District, Tamil Nadu, India. valarmathi@psr.edu.in
Curabitur ac tortor ante. Sed quis iaculis risus. Ut ultrices ligula aliquet odio tristique euismod. Donec efficitur dolor in turpis aliquet, at mollis.
Curabitur ac tortor ante. Sed quis iaculis risus. Ut ultrices ligula aliquet odio tristique euismod. Donec efficitur dolor in turpis aliquet, at mollis.
Curabitur ac tortor ante. Sed quis iaculis risus. Ut ultrices ligula aliquet odio tristique euismod. Donec efficitur dolor in turpis aliquet, at mollis.
Curabitur ac tortor ante. Sed quis iaculis risus. Ut ultrices ligula aliquet odio tristique euismod. Donec efficitur dolor in turpis aliquet, at mollis.
Curabitur ac tortor ante. Sed quis iaculis risus. Ut ultrices ligula aliquet odio tristique euismod. Donec efficitur dolor in turpis aliquet, at mollis.
