About the Department

Faculty Team

POs, PSOs & PEOs

Academic Schedule

Award of Degree & Division

Syllabus

Infrastructure Facilities

Workshop & Conferences

Awards/Achievements

Internships/Industrial Visits

MOUs

Research & Development

About the Department

Artificial Intelligence and Data Science (AI & DS) is a vibrant and innovative academic unit dedicated to researching and expanding the boundaries of cutting edge technologies which are about to dominate the technological world. Fostering an interdisciplinary and collaborative atmosphere, the department is dedicated to excellence in research, education, and practical applications.

Faculty members contribute to the rapidly changing fields of artificial intelligence and data science through their impeccable work in machine learning, natural language processing, computer vision, and data analytics. Program participants gain knowledge from a thorough curriculum that gives them the abilities and information required to handle obstacles in the real world.

The AI & DS department is crucial in forming the future generation of professionals and researchers in these quickly developing domains because of its emphasis on developing critical thinking and problem-solving skills.

Vision Vision

To provide an intellectual learning environment with research and industry interaction in order to improve creativity in the field of eminent data science and AI.

Vision Mission

To impart quality and value based education and contribute towards the innovation of computing expert systems, data science to raise the satisfaction level of all stakeholders.
To provide better data science education, research, and industrial collaboration for students to experience content-based learning.
To develop students into morally upright professionals who would uplift both society and the individual.

Alumni

Events

Admission Enquiry

Faculty List

S.No	Name of the Faculty Member	Qualification	Designation
1	Dr. G. Suresh	M.Tech., Ph.D.	Professor and Head
2	Dr. Robinson Joel M	M.E, Ph.D.	Associate Professor
3	Mr. K.P. Senthil Kumar	B.E, M.E, (Ph.D)	Associate Professor
4	Mrs. S. Sathyakala	B.E, M.E, (Ph.D)	Associate Professor
5	Mrs. Devi R	B.E, M.E, (Ph.D)	Associate Professor
6	Mrs. Balammal V	B.E, M.E, (Ph.D)	Associate Professor
7	Mrs. D. Soundaravalli	B.E, M.E, (Ph.D)	Associate Professor
8	Mrs. Uma R	B.E, M.E, (Ph.D)	Assistant Professor

Programme Outcomes(POs)

PO1

Engineering Knowledge

Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

PO2

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.

PO3

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.

PO4

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.

PO5

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.

PO6

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.

PO7

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.

PO8

Ethics

Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO9

Individual and Team Work

Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO10

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.

PO11

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.

PO12

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 Objectives (PSOs)

PSO1

Apply AI concepts to solve current issues, and combine technical expertise with cutting-edge resources and tools to meet changing AI requirements.

PSO2

Build a solid foundation for data science and artificial intelligence research, entrepreneurship, and innovation.

Program Educational Objectives (PEOs)

PEO1

Utilize their proficiencies in the fundamental knowledge of basic sciences, mathematics, Artificial Intelligence, data science and statistics to build systems that require management and analysis of large volumes of data.

PEO2

Advance their technical skills to pursue pioneering research in the field of AI and Data Science and create disruptive and sustainable solutions for the welfare of ecosystems.

PEO3

Think logically, pursue lifelong learning and collaborate with an ethical attitude in a multidisciplinary team.

PEO4

Design and model AI based solutions to critical problem domains in the real world.

PEO5

Exhibit innovative thoughts and creative ideas for effective contribution towards economy building.

Academic Calendar

Academic Time Table

Award of Degree & Division

Third Year/V- Sem

S.No	Name of the Student	CGPA	Rank	Award
1	Sheeba C	9.2	I	Memento & Cash Reward
2	Indris P	8.9	II	Memento
3	Padmavathi K	8.7	III	Memento

Second Year/III- Sem

S.No	Name of the Student	CGPA	Rank	Award
1	Deva Dharshini U	8.9	I	Memento & Cash Reward
2	Kumaravel N	8.5	II	Memento
3	Sakthipandi	8.4	III	Memento

Syllabus

Regulation 2021

Infrastructure Facilities

Fully air conditioned labs

High specification systems

High speed WIFI

Smart Classrooms

Well ventilated environment

Purified Drinking water

Department Library

The department library is the greatest arsenal having manuals, 1500 books, project reports, mini project reports, research papers, and lectures materials. The digital resource including various professional societies enriches the students towards e-learning via various MOOC courses (NPTEL, Coursera) and inspires them to explore and achieve.

Workshop & Conferences

Analysis Of Variance (ANOVA) For Statistics And Data Science

Awards/Achievements

Faculty Members

Dr G Suresh, Published a book titled “Machine Learning and Applications” under Dipti Press Pvt Ltd Publications

Mrs D Soundaravalli, Completed NPTEL Course titled “Python For Data Science” with Elite Certification

Students

Prashanth M, Jerome Joshua E, Abilash R, Nishok S, Mohan Babu R, Bharath U, Mohammed Sheik from III AI&DS Participated in Technoxian 7.0- a robotics competition held in Noida and won the 2nd Prize

Jayanth E & Kumaran M from III AI&DS won 1st Prize in Break The Query event held under a national level technical symposium Cognit’23

Beusling P S, Kumaran M from III AI&DS Completed NPTEL Course titled “Python For Data Science” with Elite Certification

Ambigai J from III AI&DS completed NPTEL Course titled “Big Data Computing” with Elite Certification

Internships/Industrial Visits

Industrial Visit to RETECH Solutions

Academic Year (2023-24)

Industrial Visit to National Small Industries Corporation (NSIC)

Academic Year (2022-23)

MOUs

Signed MOU with “Edureka Learning center” for providing seminars and conducting workshops.

Signed MOU with “Skillsort Technical Solutions PVT Ltd , Chennai” for providing placements.

Signed MOU with “V3 Tech Seri Business Partner Of HPE” for providing placements

Signed MOU with “PUMO Techovation India PVT Ltd” for providing placements.

Signed MOU with “CareerLabs Technologies private limited Bangalore” for providing seminars and conducting workshops.

Research & Development

Faculty Members

Dr G Suresh, Published a paper titled “Elliptic curve cryptography based key management and flexible authentication scheme for 5G wireless networks”

Dr G Suresh, Published a paper titled “Pelican Whale Optimization Enabled Deep Learning Framework for Video Steganography Using Arnold Transform-Based Embedding ”

Students

III year students Prasanna Kumar S, Beusling P S, Kumaran M &,Jayanth E presented a paper entitled "Custom Chatbot for Colleges Using Neural Networks" in “International Conference on innovation Challenges in Engineering and Technology (ICICET'23)”

III year students Kishore R, Nishok S, Bharath U & Prashanth M presented a paper entitled "Voice Assisted Secure Home Automation Using AI " in “International Conference on Innovation and Challenges in Engineering and Technology (ICICET'23)”

III year students Bharath U, David Ephraim S, Surya I, Jayanth E & Kumaran M presented a paper entitled "Study of Advancement in teaching methodology using AI" in “International Conference on Digital Archieving and Presentation on Cultural Heritage of India, organized by Department of EEE, AMET University”

About the Department

Vision Vision

To provide an intellectual learning environment with research and industry interaction in order to improve creativity in the field of eminent data science and AI.

Vision Mission

To impart quality and value based education and contribute towards the innovation of computing expert systems, data science to raise the satisfaction level of all stakeholders.
To provide better data science education, research, and industrial collaboration for students to experience content-based learning.
To develop students into morally upright professionals who would uplift both society and the individual.

Alumni

Events

Admission Enquiry

Faculty List

S.No	Name of the Faculty Member	Qualification	Designation
1	Dr. G. Suresh	M.Tech., Ph.D.	Professor and Head
2	Dr. Robinson Joel M	M.E, Ph.D.	Associate Professor
3	Mr. K.P. Senthil Kumar	B.E, M.E, (Ph.D)	Associate Professor
4	Mrs. S. Sathyakala	B.E, M.E, (Ph.D)	Associate Professor
5	Mrs. Devi R	B.E, M.E, (Ph.D)	Associate Professor
6	Mrs. Balammal V	B.E, M.E, (Ph.D)	Associate Professor
7	Mrs. D. Soundaravalli	B.E, M.E, (Ph.D)	Associate Professor
8	Mrs. Uma R	B.E, M.E, (Ph.D)	Assistant Professor

Programme Outcomes(POs)

PO1

Engineering Knowledge

Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

PO2

Problem Analysis

PO3

Design/development of Solutions

PO4

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.

PO5

Modern Tool usage

PO6

The Engineer and Society

PO7

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.

PO8

Ethics

Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO9

Individual and Team Work

Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO10

Communication

PO11

Project Management and Finance

PO12

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 Objectives (PSOs)

PSO1

Apply AI concepts to solve current issues, and combine technical expertise with cutting-edge resources and tools to meet changing AI requirements.

PSO2

Build a solid foundation for data science and artificial intelligence research, entrepreneurship, and innovation.

Program Educational Objectives (PEOs)

PEO1

PEO2

Advance their technical skills to pursue pioneering research in the field of AI and Data Science and create disruptive and sustainable solutions for the welfare of ecosystems.

PEO3

Think logically, pursue lifelong learning and collaborate with an ethical attitude in a multidisciplinary team.

PEO4

Design and model AI based solutions to critical problem domains in the real world.

PEO5

Exhibit innovative thoughts and creative ideas for effective contribution towards economy building.

Academic Calendar

Academic Time Table