B.Tech. Artificial intelligence & Data Science
Department of Artificial intelligence and Data Science (AI&DS) was established in 2023. Artificial intelligence refers to the imitation of human intelligence in machines that are programmed to think like humans and mimic their actions, also exhibits behaviors associated with a human mind such as learning and problem-solving.
Main perception of this department is to be aware of the Emerging Technical fields of Brain Computer Interface, Neural Networks, Cognitive Radio, Computer Vision, Robot Vision, especially the problems of exploring human action forming inputs, robustly grounding them by natural language as well as high-level reasoning over the primitives for Artificial Intelligence.
Programmes Offered
| Programme | Intake |
| B.Tech. Artificial intelligence & Data Science | 60 |
Vision
To provide an excellent Artificial intelligence and data science by building strong programming knowledge, to develop inter-disciplinary applications through learning, training, supporting and ready to sustain industry demands.
Mission
Department of Artificial intelligence & Data Science is committed to
To create a pool of certified students equipped with the knowledge, skills
and abilities necessary to meet/exceed industry expectations on both a
local and regional level.
To support institute-industry collaboration through consultancy,
technology and knowledge transfer
To develop gradands the technically vibrant with latest Technologies to
attain digital transformation.
| 1 |  | Mr.M.Muralikrishnan M.E. | Assistant Professor | Muralikrishnan@ptleecncet.com | 9952526182 | View |
| QUALITY OBJECTIVES |
|---|
| • To improve the academic performance of the students |
| • To organize conferences, FDP and arrange guest lectures |
| • To achieve more satisfaction rating of customers |
| • To consistently improve the placement of the eligible candidates |
| • To be involved in research, mini-projects and technical papers for the industrial development of the country |
| Highlights |
|---|
| • Consistent improvement in Placement and Internship |
| • Funded Research Projects |
| • Organized seminars and workshop programs |
| • MoUs with leading industries |
| • Inviting experts from industry for every course |
| • Organizing Industrial Visit |
