Artificial Intelligence and Data Science
About the Department
The faculty of AI-DS is the soul of many engineering branches. This field is instrumental in bringing the world to where it is today. AI-DS course was started in our institution in the year 2021. Our department has well-qualified and experienced faculty members who are specialists in the areas of Database, Data Mining, Computer Architecture, Operating Systems, Image Processing, Wireless Network, Artificial Neural Networks’, Information Security and Programming Languages. They actively involve themselves in research activities in the field of their specialization. They have published a number of papers in Journals and Conferences of National and International repute. The department attributes its success to the creative and innovative outlook of its students also. It encourages students to participate in numerous symposiums and to present papers in them. Students are also made to undergo in-plant training programs, where they hone their technical skill in the realm of computers.
OUR VISION & MISSION
- VISION
To attain exceptional standards of quality education, the approach involves leveraging cutting-edge tools, fostering a culture of collaboration, and disseminating innovations tailored to the needs of students and industry. This initiative is designed to contribute significantly to societal advancement by aligning educational practices with the evolving landscape of academia and industry.
- MISSION
- The goal is to cultivate adept professionals specializing in the fields of Artificial Intelligence and Data Science.
- The objective is to provide education of high quality with a focus on values, contributing to the advancement of computing, expert systems, and Data Science. The aim is to elevate satisfaction levels among all stakeholders through innovation in these domains.
- Our commitment is directed towards applying the latest advancements in both high-performance computing hardware and software.
- Our focus is on the development of software tailored for peripheral computing devices, including printers, modems, and scanners.
Program Educational Objectives
PEO1
Utilize expertise in the domains of Health Care, Education, Agriculture, Intelligent Transport, Environment, and Smart Systems, as well as in the interdisciplinary realms of Artificial Intelligence and Data Science.
PEO2
Apply acquired engineering skills from industry internships to address real-world challenges across diverse domains, employing software applications for effective problem-solving.
PEO3
Cultivate essential skills to embark on entrepreneurial journeys, pursue roles as data scientists, and establish businesses within the realms of artificial intelligence and data science.
PEO4
Persist in acquiring knowledge of technological advancements through continued higher education and research pursuits.
PROGRAM OUTCOMES (PO)
1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems
2. Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences
3. 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
4. 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
5. 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
6. 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
7. 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
8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice
9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings
10. Communication: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings
11. 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
12. 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
Program Specific outcomes
PSO1
evolve AI based efficient domain specific processes for effective decision making in several domains such as business and governance domains.
PSO2
arrive at actionable Foresight, Insight, hindsight from data for solving business and engineering problems
PSO3
create, select and apply the theoretical knowledge of AI and Data Analytics along with practical industrial tools and techniques to manage and solve wicked societal problems
PSO4
develop data analytics and data visualization skills, skills pertaining to knowledge acquisition, knowledge representation and knowledge engineering, and hence be capable of coordinating complex projects.
Get Ready to Revolutionize the World With AI and Data Science!
Leaders in AI and Data Science Education. Cutting-edge Research in Machine Learning. State-of-the-Art Labs for Hands-on Learning.Expert Faculty Guiding Your Path to Success.
Intake
- Programme of Study - Under Graduate Course B.TECH. in Artificial Intelligence and Data Science
- Description -Started with 60 seats in 2021
MoU :
| Sl.No. | Name of the Company | Date of MOU | Valid |
|---|---|---|---|
|
1 |
UNIQ TECHNOLOGIES, COIMBATORE |
26.08.2022 |
2022-2025 |
|
2 |
LIVEWIRE, KARUR |
05.02.2022 |
2022-2025 |
|
3 |
ACCENT TECHNO SOFT, COIMBATORE |
25.01.2023 |
2023-2026 |
PROFESSIONAL MEMBERSHIP:
| Year | Name of the Professional Society | No. of Students | Validity |
|---|---|---|---|
|
1. |
Computer Society of India |
5 |
31.10.2026 |
|
2. |
Computer Society of India |
101 |
28.02.2025 |
STUDENTS DETAILS
| S.no | YEAR/CLASS | No. of Students | Boys | Girls |
|---|---|---|---|---|
|
1. |
I AIDS A |
61 |
36 |
25 |
|
2. |
I AIDS B |
61 |
45 |
16 |
|
3. |
II AIDS A |
73 |
53 |
20 |
|
4. |
II AIDS B |
28 |
25 |
03 |
|
5. |
III AIDS |
59 |
40 |
19 |
|
|
Total |
282 |
199 |
83 |
AI&DS PROFESSIONAL MEMBERSHIP:
| Year | Name of the Professional Society | No. of Students | Validity |
|---|---|---|---|
|
1. |
Computer Society of India |
51 |
31.10.2026 |
NEWS & EVENTS
