The Department of Artificial Intelligence and Machine Learning was established in the year 2024 with the objective of cultivating, ethical, innovative IT professionals with strong problem-solving skills.
- The Department maximizes the utilization of the Audio Visual room, equipped with top-notch seating arrangements and LCD projector facilities.
- Incorporate cutting-edge technologies into the teaching and learning process.
- The Department offers a dedicated library facility tailored to fulfill the students’ specific requirements.
- The Department boasts a cutting-edge, modernized Multipurpose Computer Laboratory.
- 24 X 7 internet facility.
- Faculty members serve as mentors, offering guidance to students throughout their courses to cultivate the essential technical skills and attitudes needed for success in the IT industry.
| S. No | Name Of The Staff | Qualification | Designation | Area Of Specialization |
|---|---|---|---|---|
| 1 | Dr.S.Padmapriya | M.Sc(CS), MCA, M.Phil.,M.Tech., SET, Ph.D. | HOD & Associate Professor | Data Mining |
| 2 | Dr.P.Thangavel | MCA, M.Phil., Ph.D. | Assistant professor | Network Security & Information Security |
| 3 | Dr. M.Chitra Devi | M.Sc(Maths), MCA, M.Phil., SET, Ph.D. | Assistant professor | Image Processing |
| 4 | Mr.M.Ramesh Kannan | M.C.A, M.Phil.,M.E | Assistant Professor | FOGGING |
| 5 | Dr.L.Leelavathy | M.C.A, M.Phil, Ph.D | Assistant Professor | Cloud Security |
| 6 | Mr.N.Senthil Kumar | M.C.A., M.Phil., (Ph.D) | Assistant Professor | Artificial Intelligence, Deep Learning, Data Mining |
| 7 | Mt. M. Venkatesh Saravanakumar | M.C.A., M.Phil., (Ph.D) | Assistant Professor | Big Data Analytics, Machine Learning |
| S.NO | Branch Power | Achievement Value |
|---|---|---|
| 1 | International conference on current era | Gives you the opportunity to preview the latest highlights from the conference |
| 2 | Conducting workshop on hand on session | Good exposure in working structure |
| 3 | Coding context | Learn to identify errors and make suitable code and develop language skills |
| 4 | Technical Symposium | In depth knowledge of technical events |
| 5 | Webinars on security system | To bring security system strategy |
| 6 | Industrial visit to software companies | More dignified were attempts to broaden the minds of the clergy. |
| 7 | International level Tech quiz and gaming context | To improve the programming concepts |
| 8 | Logo, E posters and E magazine context | Creativity is one of the most important skills for graphic designers. It creates designing skills |
| 9 | VAT sessions | Enhance the out of box thinking |
| 10 | Mini projects | Which gives how to develop software for commercial |
B.Sc. AI&ML Eligibility
Should have passed Higher Secondary Course with Mathematics as one of the core subject
B.Sc. AI&ML Scope
Higher Studies :
Master level courses
- Master’s in Computer Applications (MCA)
- Master’s in Computer Science (MSc)
- Master’s in Information Technology (MSc IT)
- Master’s in Data Science or Data Analytics
- Master’s in Cyber security
- Master’s in Business Administration (MBA)
Job Opportunities :
- Machine Learning Engineer
- Data Scientist
- AI Software Developer
- Natural Language Processing (NLP) Engineer
- Computer Vision Engineer
- AI Ethics Specialist
- AI Product Manager
- AI Solutions Architect
- AI Consultant
- AI Researcher
Curriculum
| Semester | Title of the Paper | Credit |
| I | Tamil-I | 3 |
| English-I | 3 | |
| Programming in C | 4 | |
| Programming in C Lab | 4 | |
| First Allied Course –I (AC) | 4 | |
| First Allied Course – II (AC) | – | |
| Value Education | 2 | |
| II | Tamil-II | 3 |
| English-II | 3 | |
| Programming in Python | 4 | |
| Programming in Python Lab | 4 | |
| First Allied Course –II (AC) | 2 | |
| First Allied Course – III (AC) | 4 | |
| Professional English | 2 | |
| Environmental Studies | 4 | |
| Naan Muthalvan | 2 | |
| III | Tamil-III | 3 |
| English-III | 3 | |
| RDBMS and NoSQL | 4 | |
| RDBMS and NoSQL Lab | 4 | |
| Second Allied Course – I (AC) | 4 | |
| Second Allied Practical (AP) | – | |
| Professional English II | 4 | |
| NME-I | 2 | |
| IV | Tamil-IV | 3 |
| English-IV | 3 | |
| Artificial Intelligence | 4 | |
| Artificial Intelligence Lab | 4 | |
| Second Allied Course–II Practical | 3 | |
| Second Allied Course–III (AC) | 4 | |
| NME-II | 2 | |
| Naan Muthalvan | 2 | |
| V | Embedded System and IOT | 5 |
| Open Source Software | 5 | |
| Robotics | 5 | |
| Robotics Lab | 4 | |
| Virtual Reality and Augmented Reality / Fuzzy Logic and Neural Networks | 5 | |
| Mobile Application Development | 2 | |
| Soft Skills Development | 2 | |
| VI | Human Computer Interaction | 6 |
| Machine Learning | 6 | |
| Machine Learning Lab | 4 | |
| Natural Language Processing / Deep Learning | 5 | |
| Cloud Computing | 4 | |
| Project | 4 | |
| Gender Studies | 1 | |
| Extension Activities | – | |
| Naan Muthalvan | – |