Dr.S.Niraimathi
Associate Professor & Head
M.C.A, M.Phil., Ph.D
Specialisation: Artificial Intelligence, Machine Learning, Natural Language Processing, Deep Learning, Data Science, and Intelligent Computing
Experience: 25 years

AI happens to be the buzz word in the recent years. Artificial intelligence (AI) has become a game-changing technology in plethora of domains and its effects on leveraging higher education is drawing more and more attention. AI has several options for enhancing the standard and accessibility of education, with the ability to revolutionise administrative, teaching, and learning procedures. It is the most sought out technology in the current times.Owing to the importance of Artificial Intelligence, the management of Nallamuthu Gounder Mahalingam College had a fore thought to introduce a UG Programme in Computer Science with Artificial Intelligence & Machine Learning. The department had its inception in the Academic Year 2022-2023. Our three-year Artificial Intelligence and Machine learning course has been structured to give thorough understanding of the field of computer science whilst providing you with the opportunity to develop a strong theoretical grounding in Artificial Intelligence with many opportunities to put things in to practice. Artificial Intelligence is one of the current hot topics in Computer Science and of the society more broadly. It is at the heart of everyday technology and the understanding and application of AI holds the key to solve many current and future real-world problems.
To be a leading school of emerging trends in Artificial Intelligence and Machine Learning that affords quality education to equip students with the technical know-how, ascertain their hidden talents, provide ambient environment to show case their highest potential and to transform the students to be creative and innovative leaders and entrepreneurs as anticipated by the Industry
HIGHLIGHTS OF THE COURSE
• Curriculum matching the global standards, Strong industry-academia interface.
• Facilitate students to meet the demands of the Cutting Edge technology
• Provision of Adjunct faculty to handle specialized course contents
• State of the art laboratory facilities to provide hands-on experience through Laboratory and project-based Learning
• Internships and Project Mentoring by industry
• Blended Learning
• ICT Class rooms
• Extra emphasis on Training & Placement Programs
• Global exposure via international exchange programs
• Top recruiters including blue-chip firms
| Programme Outcomes (POs) | |
| On successful completion of the B.Sc. Computer Science with Artificial Intelligence & Machine Learning | |
| PO1 | Domain Knowledge: Demonstrate a sound understanding of all the main areas of Machine Learning & AI and also demonstrate the ability to exercise critical judgement in the evaluation of Machine Learning and AI applications. |
| PO2 | Problem Analysis: Understand how to distill a real-world challenge as an artificial intelligence problem, involving explicit representation and learning of symbolic and numeric models; reasoning about such models; and using such models for decision making, action selection, and interaction with humans. |
| PO3 | Design/development of solutions: Design and develop research-based solutions for complex problems in artificial intelligence and machine learning industry through appropriate consideration for the public health, safety, cultural, societal, and environmental concerns. |
| PO4 | Communicative & oratorical Skills:Establish the ability to Listen, read, proficiently communicate and articulate complex ideas with respect to the needs and abilities of diverse audiences. |
| PO5 | Exhibit Entrepreneurial Skills: Deliver innovative ideas to instigate new business ventures and possess the qualities of a good entrepreneur. |
| PO6 | Ethics: Recognize the social impact of artificial intelligence and the underlying responsibility to consider the ethical, privacy, moral, and legal implications of artificial intelligence technologies. |
| PO7 | Individual and teamwork:Graduates will be able to undertake any responsibility as an individual/member of multidisciplinary teams and have an understanding of team leadership. |
| PO8 | Use of State-of-the-Art AI and machine learning tools & techniques: Design, analyze, implement, and use state-of-the-art AI and machine learning tools & techniques for dealing with real-world data, including data involving vision, language, perception, and uncertainty. |
| PO9 | Dynamism and 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. |
| PO10 | Research instinct: Apply AI and ML specific research techniques, tools,methods, design of experiments, analysis and synthesis of the information for conducting investigations of complex problems. |
| The B.Sc. Computer Science with Artificial Intelligence & Machine Learning program describe accomplishments that graduates are expected to attain within five to seven years after graduation. | |
| PEO1 | Expertise with the principles of Artificial Intelligence and problem solving, inference, perception, knowledge representation, and learning |
| PEO2 | Exhibit high standards with regard to application of AI techniques in intelligent agents, expert systems, artificial neural networks and other machine learning and deep learning models |
| PEO3 | Investigate with a machine learning model for simulation and analysis and explore the scope, potential, limitations, and implications of intelligent systems. |
| PEO4 | Establish the ability to Listen, read, proficiently communicate and articulate complex ideas with respect to the needs and abilities of diverse audiences. |
| PEO5 | Instill key technologies in Artificial Intelligence, Machine Learning and deep learning, visualization techniques, Natural language processing and Robotics. |
| After the successful completion of BSc Computer science with Artificial Intelligence and Machine Learning program, the students are expected to | |
| PSO1 | Exhibit good domain knowledge and completes the assigned responsibilities effectively and efficiently in par with the expected quality standards for Artificial Intelligence and Machine Learning professional. |
| PSO2 | Apply the technical and critical thinking skills in the discipline of artificial intelligence and machine learning to find solutions for complex problems. Design and develop research-based solutions for complex problems in artificial intelligence and machine learning industry through appropriate consideration for the public health, safety, cultural, societal, and environmental concerns.
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Associate Professor & Head
M.C.A, M.Phil., Ph.D
Specialisation: Artificial Intelligence, Machine Learning, Natural Language Processing, Deep Learning, Data Science, and Intelligent Computing
Experience: 25 years

Associate Professor
M.C.A., M.Phil.,Ph.D
Specialisation: Artificial intelligence, Machine Learning
Experience: 25 years

Assistant Professor
MCA,M.Phil.,(Ph.D)
Specialisation: Machine Learning
Experience: 10 Years

Assistant Professor
M.Sc CS , M.Phil, Ph.D
Specialisation: Data Mining
Experience: 17 years
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