AI & DS
Our Department
The Department of Computer Science (Artificial Intelligence and Data Science) was started in the Academic Year 2023-24 focusing on the interdisciplinary field of Data Science, which can provide insights from structured, semi-structured, and unstructured data. With Artificial Intelligence, it is now feasible to acquire valuable insights from vast amounts of data, including data from sensors, images, video streams, satellites, medical imagery, and the cloud.
- The Programme is a three-year academic course.
- The Department has a team of enthusiastic and knowledgeable faculty with the goal of educating the students with world-class infrastructure, curriculum, comprehensive hands-on experience and conducting pre-research in the field of Artificial Intelligence & Data Science.
- The Department is committed to excel in delving into design and development of next generation progressive technologies.
- Our motto is to develop industry-academia partnerships, explore collaborations with other domains, and contribute our talents to multi-disciplinary projects by translating urban technology into real world impacts to meet societal needs.
Vision
To offer excellent opportunities to students and promote collaboration among various disciplines in computing by our dedicated faculty, ensuring to take up maximal benefit of the latest environment for solving a wide range of complex, scientific, technological and social problems.
Mission
- To excel in computer society by actively engaging in creating, applying, and sharing knowledge.
- To collaborate with industry and government for providing quality education and to propagate knowledge through projects and publications.
- To serve professional societies, the community, state, and nation.
Objectives of the Programme
- Explore the key ideas of Machine Learning, Deep Learning and Artificial Intelligence, including large data collection, model selection, model complexity, standard algorithms and techniques by the Data Science.
- Demonstrate the proficiency in using Machine Learning algorithms to develop prototypes and forecast the Data for decision making.
- Acquire leadership skills through effective communication, diverse professional ethics and team work through multidisciplinary internships and projects.
Job Opportunities
- AI Engineer
- Business Intelligence Strategist
- Data Scientist
- Data Mining Engineer
- Machine Learning Engineer
- Researcher
- Artificial Intelligence Engineer
- Database Administrator
- Data Architect
- Statistician
- Business Analyst
- Data and Analytics Manager
- Data Journalist
- Machine Learning Engineer
- AI & ML Lead
- Data Scientist
- Deep Learning Engineer
- Data Analyst
- Data Engineer
- NLP Engineer
- NLP Analyst
Faculty Profile
| S.No. | Staff Name | Degree | Designation | Vidwan Id |
|---|---|---|---|---|
| 1 | Dr. K. R. Ananth | MCA, M.Phil., Ph. D. | Head & Associate Professor | Click here |
| 2 | Ms. M. Saranya | MCA, M.Phil., | Assistant Professor | |
| 3 | Mr. Arun Joseph | MCA., M.Phil., (Ph.D.,) | Assistant Professor | |
| 4 | Ms. A Kalaiyarasi | MCA, M.Phil., | Assistant Professor |
Lab Facilities
Department Association
AlphaGo – The name is inspired from the First AI–based Computer Program to defeat a professional human Go player, the first to defeat a Go world champion, and is arguably the strongest Go player in history. The aim of the association is to conducts various programs like workshops, seminars, and conferences are organized for the benefit of students.
OFFICE BEARERS
ALPHAGO ASSOCIATION
OFFICE BEARERS (2023- 2024)
| S.No. | Register No. | Name of the Student | Office Bearers | Class |
|---|---|---|---|---|
| 1 | 23BAD01 | Aadhilirfan A. | President | I B.Sc AI & DS |
| 2 | 23BAD54 | Thiruviga M. | Vice President | I B.Sc AI & DS |
| 3 | 23BAD12 | Dhanalakshmi C. | Secretary | I B.Sc AI & DS |
| 4 | 23BAD63 | Navaneethaprabu M. | Joint Secretary | I B.Sc AI & DS |
| S.No. | Register No. | Name of the Student | Class |
|---|---|---|---|
| 1 | 23BAD57 | Varshini V. | I B.Sc AI & DS |
| 2 | 23BAD59 | Vishal R R. | I B.Sc AI & DS |
| 3 | 23BAD55 | Vaishavi B. | I B.Sc AI & DS |
| 4 | 23BAD53 | Susith R. | I B.Sc AI & DS |
| 5 | 23BAD52 | Sushidharan T. | I B.Sc AI & DS |
ASSOCIATION MEMBERS
PEDAGOGY (TEACHING STYLE)
- Instructor presenting material and answering student questions that arise. Students receive, take in and respond.
- Class discussion that follows a pre-determined set of queries to lead students to certain realizations or conclusions, or to help them meet a specific learning outcome.
- Students focus on their learning process through application, observation and reflection.
- Types of training methods include differentiated instruction, lecture-based instruction, technology-based learning, group learning, individual learning, inquiry-based learning, kinesthetic learning, game-based learning and expeditionary learning.