VISION
Aims to provide quality education in the field of Artificial Intelligence with state of art
facilities and handle quality research in association with industry and other Universities to
produce well trained IT professionals in Machine Learning domain.
MISSION
- To provide knowledge through teaching and training in the field of Artificial
Intelligence and Machine Learning. - To concentrate on teaching-learning, research, project and consultancy help to
increase the growth of Artificial Intelligence. - To train students to get best opportunities and tackle challenges in IT industry.
- To equip students with communication skill, Leadership quality, ability to work with
team help to improve the society. - To provide value based and technical oriented related students help to build the
nation.
Programme Educational Objectives (PEOs)
PROGRAMME EDUCATIONAL OBJECTIVES (PEO)
PEO 1: Graduates will have solid basics in Mathematics, Programming, Machine Learning, Artificial Intelligence fundamentals and advancements to solve technical problems.
PEO 2: Graduates will have the capability to apply their knowledge and skills acquired to solve the issues in real world Artificial Intelligence and Machine learning areas and to develop feasible and reliable systems.
PEO 3: Graduates will have the potential to participate in life-long learning through the successful completion of advanced degrees, continuing education, certifications and /or other professional developments.
PEO 4: Graduates will have the ability to apply the gained knowledge to improve the society ensuring ethical and moral values.
PEO 5: Graduates will have exposure to emerging cutting-edge technologies and excellent training in the field of Artificial Intelligence & Machine learning.
Programme Outcomes (POs) & Programme Specific Outcomes(PSOs)
PROGRAMME OUTCOMES (PO)
PO 1: Develop knowledge in the field of AI & ML courses necessary to qualify for the degree.
PO 2: Acquire a rich basket of value-added courses and soft skill courses instilling self-confidence and moral values.
PO 3: Develop problem solving, decision making and communication skills.
PO 4: Demonstrate social responsibility through Ethics and values and Environmental Studies related activities in the campus and in the society.
PO 5: Strengthen the critical thinking skills and develop professionalism with the state of art ICT facilities.
PO 6: Quality for higher education, government services, industry needs and start up units through continuous practice of preparatory examinations.
PO 7: Gain inter-disciplinary, multi-disciplinary competence as value additions.
PROGRAM SPECIFIC OUTCOMES (PSO)
PSO 1: Ability to analyze a problem, and identify and define the AI & ML requirements appropriate to its solution.
PSO 2: Ability to design, implement, and evaluate a Machine learning system, process, component, or program to solve the given problem.
PSO 3: Ability to communicate effectively through oral and written means.
PSO 4: Ability to work in a team to achieve a common goal.
PSO 5: Enhanced communication and leadership abilities and ability to work and learn in team environment.
PSO 6: Understand the needs of society and sensitivity to societal responsibilities.
Curriculum & Syllabus
CURRICULUM & SYLLABUS
MINIMUM CREDITS TO BE EARNED: 140
Category | Code No | Course | Hours/Week | Credits | ||
---|---|---|---|---|---|---|
Lecture | Tutorial | Practical | ||||
LANG | 23LTAM11/ 23LHIN11/ 23LFRE11 | Tamil- I/ Hindi-I / French-I | 3 | 0 | 0 | 3 |
ENG | 23LENG21 | English- I | 3 | 0 | 0 | 3 |
CORE | 23CBAL11 | Object Oriented Programming using Python | 4 | 1 | 0 | 5 |
CORE | 23CBAL12 | Artificial Intelligence | 3 | 1 | 0 | 4 |
CORE | 23PBAL11 | Python Programming Lab | 0 | 0 | 4 | 2 |
CORE | 23BMA001 | Mathematics – I | 4 | 0 | 0 | 4 |
AECC | 23AECS11 | Communication Skills | 1 | 0 | 2 | 2 |
SEC | Orientation/Induction programme / Life skills | - | - | - | - | |
TOTAL | 18 | 2 | 6 | 23 |
Eligibility Criteria
Program | Program Duration (Year) | Eligibility | Criteria for Merit |
---|---|---|---|
B.Sc Computer Science with specialisation in Artificial Intelligence and Machine Learning | 3 Years (6 Semesters) | "Pass in (10+2) or equivalent with Maths/ Computer Science/ Business Maths/ Statistics/Information Practices/Computer Applications/Information Technology/Artificial Intelligence Lateral Entry - Pass in Diploma in Computer Science/ECE/Information Technology/Computer Technology" | Merit based on the percentage of marks secured in the qualifying examination |
Fee Structure
Tuition Fee 2024 - 2025 (Per Sem) | Other Fee (Per Sem) | Total Fee 2024 - 2025 (Per Sem) |
---|---|---|
20,000 | 19,000 | 39,000 |
Career Prospects
CAREER PROSPECTS
- Robotics Programmer
- Video Game Programmer
- Data Scientist
- Software Engineer
- Machine Learning Researcher
- Business Intelligence Developer
- Statistical Analyst
Faculty of the Department
Sl. No. | Name of the Faculty | Designation | Educational Qualification | Area of Specialization | Experience in Years | Vidwan ID | Photos |
---|---|---|---|---|---|---|---|
1 | Dr.Parameswari.R | Professor and Head | MCA., M.Phil., Ph.D | Cloud Computing & Big Data Analytics | 17 years 11 months | 237318 | |
2 | Dr.Perumal.S | Professor | M.Sc., M.Phil.,P.h.D | Image Processing, Data Analytics, Cloud Computing, IOT | 28 yrs | 263415 | |
3 | Dr.Thailambal.G | Associate Professor | MCA., M.Phil., Ph.D | Data Mining, Text Mining, Pattern Matching & Machine Learning | 20 yrs | 232467 | |
4 | Dr.Mangayarkarasi.S | Associate Professor | MCA., M.Phil.,Ph.D | Network Security, Image Processing, IOT & Networking | 19 yrs | 232465 | |
5 | Dr.Arunachalam.A.S | Associate Professor | MCA., M.Phil.,Ph.D | Data Mining, Image Processing and Networking, Data Science, Big Data | 20 yrs | 173795 | |
6 | Dr.Sreekala.T | Associate Professor | M.Sc., M.Phil., Ph.D,NET | Intrusion Detection System, Network Security, Machine Learning, Blockchain Technology | 18 years 4 months | 173689 | |
7 | Dr.Durga.R | Associate Professor | MCA,,M.Phil, Ph.D | Network Security, Wireless Sensor, Cloud Computing | 16 yrs | 173696 | |
8 | Dr.Akila.A | Associate Professor | MCA.,M.Phil., Ph.D., | Speech Recognition & Signal Processing | 13 year 7 months | 183051 | |
9 | Dr.Aneetha.A.S | Associate Professor | MCA, M.Phil, NET.,Ph.D | Intrusion and Detection System | 14 years 4 months | 469003 | |
10 | Dr.V.Poornima | Associate Professor | M.Sc(CS),MCA, M.Phil,Ph.D | Machine Learning , ANN , IoT | 11 years8 months | 470632 | - |
11 | Mr.Balamurugan.R | Assistant Professor | MCA., M.Phil.,(Ph.D) | Data Mining | 22 years 5 months | 237146 | |
12 | Ms.Padma.R | Assistant Professor | M.Sc, M.Phil, SET, (Ph.D) | Big Data Analytics, Aritificial intelligence and Machine learning | 18 year | 236678 | |
13 | Dr.Abirami.K | Assistant Professor | M.Sc,M.Phil,Ph.D | Web Mining | 8 years 6 months | 427668 | |
14 | Dr.Thirunavukkarasu.K.S | Assistant Professor | M.Sc,M.Phil, Ph.D | Data Mining | 15 years 5 month | 291351 | |
15 | Dr.Vishwa Priya.V | Assistant Professor | MCA, MBA,M.Phil,Ph.D | Big Data Analytics, Aritificial intelligence and Machine learning,IOT | 6 years 4 months | 405597 | |
16 | Dr.Jose Reena.K | Assistant Professor | MCA, M.Phil,Ph.D | IoT, Big Data | 8 years 1 month | 425726 | - |
17 | Dr.Nisha Dayana.T.R | Assistant Professor | M.Sc,M.Phil,Ph.D | Image Mining | 11 years 2 months | 470653 | |
18 | Ms.K.Sreelatha | Assistant Professor | M.Sc CS &IT,M.Phil,(Ph.D) | Networking | 1 yr | 470792 | - |