About Department
Innovating the Future with AI & Analytics
Department of Artificial Intelligence and Data Science established in the academic year 2021-2022 with the intake capacity of 60 seats & the year of 2024-2025 with an intake of 120. This is an interdisciplinary branch of science, engineering and technology creating a complete system and a pattern shift in almost every sector of the technical industry, academics and research. The Curriculum and Syllabus is well designed by the team of experts to match the industry expectations. The program encompasses students to get expertise in critical skills such as Artificial Intelligence, Machine learning, Data Science, Advanced Analytics and Mathematical modelling.
Highlights of the Department
- Students centred Teaching Learning Process
- Focus on Experiential and Project Based Learning
- Parental care and Counselling
- Strong Industry Interface and Hands on Training to students
- In-house and Industry Internship opportunities
- State of the art infrastructure and cutting-edge laboratories
- Excellent faculty student ratio.
- Online learning through NPTEL, Spoken Tutorial, etc.
- Focus on extracurricular activities.
Overview
Vision & Mission
VISION
To produce globally competent engineers in the field of Artificial Intelligence and Data Science with a focus on emerging computing needs of the industry and society.
MISSION
- Enrich the students’ skills, knowledge with interdisciplinary skill sets by cognitive learning environment and industrial collaboration.
- Promote quality and value based education towards emerging computing needs of the industry and entrepreneurship skills among students.
- Provide for students with leadership qualities, ethical and human values to serve the nation and focus on students’ overall development.
PEOs, PSOs and POs
PROGRAM EDUCATIONAL OBJECTIVE (PEOs)
- PEO I : Graduates will be able to Artificial Intelligence professionals with expertise in the fields of Artificial Intelligence, Big Data Analytics and Data Science.
- PEO II : Graduates will be able to develop problem solving skills and ability to provide solution for real time problems.
- PEO III : Graduates shall have professional ethics, team spirit, life-long learning, communication skills and adopt corporate culture, core values and leadership skills.
PROGRAM SPECIFIC OUTCOMES (PSOs)
- PSO1 Professional Skills : Students shall excel in software development including Artificial Intelligence technologies to solve complex computation task with soft skills.
- PSO2 Competency : Students shall qualify at the State, National and International level competitive examination for employment, higher studies and research.
PROGRAM OUTCOMES (POs)
- Engineering Graduates will be able to :
- 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 engineeriCng 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.
Programmes and Syllabus
Facilities
Library
Splendid collection of books, which foster students to enrich their knowledge and widen their vision.
Laboratories
Fully Air-conditioned laboratories are utilized for the following Labs
- Data Science Lab
- AI & ML Lab
- Programming Lab
- Cognitive Systems Lab
Internet Facility
- Uninterrupted internet with 512 Mbps Broad Band connectivity is available in the College.
- 24 Hours Wi-Fi Connectivity.
- Students are given full access to the Internet at our college premises.
Placement Details
Industrial Training - Faculty
Funds Received
Newsletter & Magazine
Faculty Members
Faculty List
| S.No | Name of the Faculty | Designation | Qualification | Nature of Association |
|---|---|---|---|---|
| 1 | Dr.K.Baskar | Associate Professor & Head | Ph.D | Regular |
| 2 | Dr.M.Senthilkumar | Professor | Ph.D | Regular |
| 3 | Dr.G.Sumathi | Associate Professor | Ph.D | Regular |
| 4 | Mr.M.Mohanraj | Assistant Professor | M.E., (Ph.D) | Regular |
| 5 | Mrs.A.Sangeetha | Assistant Professor | M.E. | Regular |
| 6 | Mrs.S.Vimala | Assistant Professor | M.E. | Regular |
| 7 | Mr.R.Sathyaraj | Assistant Professor | M.E. | Regular |
| 8 | Mr.S.Azarudeen | Assistant Professor | M.E. | Regular |
| 9 | Mrs.N.Sarmiladevi | Assistant Professor | M.E., (Ph.D) | Regular |
| 10 | Mrs.M.Vanitha | Assistant Professor | M.E., (Ph.D) | Regular |
| 11 | Mrs.P G.Gayathri | Assistant Professor | M.E. | Regular |
| 12 | Ms.E.Mathumitha | Assistant Professor | M.E. | Regular |
| 13 | Mr. S. Sathishkumar | Assistant Professor | M.E. | Regular |
| 14 | Mrs.R.Subashini | Assistant Professor | M.E. | Regular |
| 15 | Mrs.A.Gowri | Assistant Professor | M.E. | Regular |
| 16 | Mrs.V.Vidhya | Assistant Professor | M.E. | Regular |
| 17 | Mrs.S.Ambigai Priya | Assistant Professor | M.E. | Regular |
Supporting Staff
| S.No | Name | Qualification | Designation |
|---|---|---|---|
| 1 | Mr.M.Ramanarayanan | B.E. | Technical Assistant |
| 2 | Mrs.K.Deepthi | D.C.E | Lab Technician |
Publications
Students List
Student Achievements
Industrial Training
Conference, Workshop & Others
Guest Lecture /Seminar
Value Added Courses
MoU'S
| S.No | ACADEMIC YEAR | NAME OF THE COMPANY | DATE |
|---|---|---|---|
| 1 | 2024 - 2025 | Saived Perficient Pvt Ltd., Coimbatore | 28.09.2024 |
| 2 | 2023 - 2024 | BCBUZZ Technologies Private Limited | 29.02.2024 |
| 3 | 2023-2024 | Isysway Technologies | 05.08.2023 |
Internship Details
Course Material
DEPARTMENT OF ARTIFICIAL INTELLIGENCE AND DATA SCIENCE
REGULATIONS 2024
II Year- III Semester
| S.No | Subject Code | Subject Name | Question Bank | Handouts | Lecture Video |
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| 1 | 24MA301 | Discrete Mathematics and Linear Programming | Download |
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| 2 | 24AD301 | Foundations of Data Science | Download |
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| 3 | 24CS301 | Data Structures | Download |
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| 4 | 24CS302 | Object Oriented Programming using JAVA | Download |
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| 5 | 24CS303 | Principles of Operating Systems | Download |
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| 6 | 24EC304 | Digital Logic and Computer Organization | Download |
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REGULATIONS 2020
II Year- III Semester
| S.No | Subject Code | Subject Name | Question Bank | Handouts | Lecture Video |
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| 1 | 20MA301 | Discrete Mathematics | Download |
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| 2 | 20AD301 | Data Structures and Algorithm Analysis | Download |
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| 3 | 20AD302 | Fundamentals of Data Science | Download |
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| 4 | 20CS402 | Database Management System | Download |
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| 5 | 20IT401 | Operating System | Download |
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| 6 | 20IT402 | Software Engineering | Download |
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II Year- IV Semester
| S.No | Subject Code | Subject Name | Question Bank | Handouts | Lecture Video |
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| 1 | 20MA404 | Probability and Statistics | Download |
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| 2 | 20AD401 | Artificial Intelligence | Download |
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| 3 | 20CS401 | Computer Networks | Download |
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| 4 | 20CS601 | Big Data Analytics | Download |
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| 5 | 20IT301 | Java Programming | Download |
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| 6 | 20MC003 | Constitution of India | Download |
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III Year- V Semester
| S.No | Subject Code | Subject Name | Question Bank | Handouts | Lecture Video |
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| 1 | 20AD501 | Business Analytics | Download |
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| 2 | 20AD502 | R Programming | Download |
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| 3 | 20AD503 | Machine Learning Techniques | Download |
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| 4 | 20AD504 | Text Analytics | Download |
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| 5 | 20MC002 | Universal Human Values 2 : Understanding harmony | Download |
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| 6 | 20CS503PE | Distributed System | Download |
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III Year- VI Semester
VI Year- VII Semester
| S.No | Subject Code | Subject Name | Question Bank | Handouts | Lecture Video |
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| 1 | 20AD502PE | DIGITAL MARKETING | Download |
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| 2 | 20IT601PE | MOBILE APPLICATION DEVELOPMENT | Download |
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| 3 | 20AD703 | DATA AND IFORMATION SECURITY | Download |
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| 4 | 20AD702 | DEEP LEARNING TECHNIQUES | Download |
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| 5 | 20EC702OE | RFID AND FLEXIBLE SENSORS | Download |
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| 6 | 20AD701 | AI IN ROBOTICS | Download |
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VI Year- VIII Semester
Analysis of Feedback on Facilities
Find your Future at Kongunadu
Achieve academic excellence with expert mentorship, hands-on learning, and a vibrant campus life—all at an affordable cost. Prepare for a successful and innovative career!
