Artificial Intelligence and Data Science

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Introduction

The Department of Artificial Intelligence and Data Science, established in 2020, is dedicated to shaping the future of intelligent systems and data-driven technologies. Our department focuses on cutting-edge research, innovation, and industry-oriented education in AI, machine learning, big data analytics, and related fields.

With a team of highly qualified faculty and state-of-the-art facilities, we aim to empower students with the knowledge and skills required to solve real-world challenges using AI and data science. Our curriculum integrates theoretical foundations with hands-on experience through labs, industry collaborations, and research projects.

We are committed to fostering a culture of innovation, ethical AI practices, and interdisciplinary learning, preparing students for successful careers in academia, research, and industry.

Vision

To be a Centre of Artificial Intelligence and Data Science by imparting quality education, promoting research and innovation with global relevance.

Mission

  • To impart holistic education with niche technologies for the enrichment of knowledge and skills through updated curriculum and inspired learning.
  • To empower valued based AI education to the students for developing intelligent systems and innovative products to address the societal problems with ethical value.
  • To work in close liaison with industry to achieve socio-economic development.

Program Educational Objectives (PEO’S)

  • PEO-1: Our Graduates are competent in building intelligent machines, software, or applications with a cutting-edge combination of machine learning, analytics and visualisation technologies to identify new opportunities.
  • PEO-2: Our Graduates adapt the new technologies and develop the solutions to real world problems with ethical practices to enhance their own stature to contribute society.
  • PEO-3: Our Graduates thrive to continuing education for fulfilling their lifelong goals and satisfaction and successful professionals in industry, government, academia, research and consultancy.

Program Specific Outcomes (PSO’S)

  • PSO1: Apply the fundamental knowledge to develop intelligent systems using computational principles, methods and systems for extracting knowledge from data to identify, formulate and solve real time problems and societal issues for the sustainable development.
  • PSO2: Enrich their abilities to qualify for Employment, Higher studies and Research in Artificial Intelligence and Data science with ethical values.

Program Outcomes (PO’S)

  • Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  • Individual and team work: Function effectively as an individual and as a member or leader in diverse teams, and in multidisciplinary settings.
  • Communication: 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.
  • 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.
  • 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

Faculty Details

S.No Name of the Faculty Qualification (With Specilisation) Designation
1 Gayathri J B.E, M.E, (Ph.D) Assistant Professor
2 Jeeva A B.Sc., M.C.A, M.E, (Ph.D) Assistant Professor
3 Sundaram D B.E, M.Tech Assistant Professor
4 Vinopriya K B.E, M.E Assistant Professor
5 Praveena M B.E, M.E Assistant Professor
6 Ramya B B.E, M.E Assistant Professor
7 Velvizhi L B.Sc., M.C.A, M.E Assistant Professor
8 Sinthiya A B.E, M.E Assistant Professor
9 Aarthi P B.E, M.Tech Assistant Professor
10 Praveen K B.E, M.E Assistant Professor
11 Ramya V B.E, M.E Assistant Professor
12 Natarasurasa M B.Tech, M.E Assistant Professor
13 Kalaivani D B.E, M.E Assistant Professor
14 Sreeraj G B.E, M.E Assistant Professor
15 Savitha N B.E, M.E Assistant Professor
16 Kalaiyarasan S B.E, M.E Assistant Professor
17 Kasivishvanathan S B.E, M.E Assistant Professor
18 Nethra Devi K B.E, M.E, (Ph.D) Assistant Professor

Board of Studies (BoS) – Members Details

S.No Category Members
1 Chairperson (1 Member)
Head of the Department concerned
Dr.R.Umamaheswari
Head of the Department/CSE
2 All Faculties
Faculty members of the Department
Faculty Members of the Department
3 Subject Experts (2 Members)
From outside the parent University
Nominated by the Academic Council
Dr.P.Kuppusamy
Associate Professor Grade II,
School of Computer Science and Engineering,
VIT – AP University, Andhra Pradesh
Cell: 9843016837
Email: drpkscse@gmail.com

Dr.N.Jaisankar
Professor,
School of Computer Science and Engineering,
VIT, Vellore – 632 014
Cell: 9443099717
Email: njaisankar@vit.ac.in
4 University Nominee (1 Member)
Nominated by the Vice-Chancellor
Dr.B.Vinothkumar
Professor,
Department of Information Technology,
PSG College of Technology, Peelamedu, Coimbatore – 641 004
Cell: +91 95007 21416
Email: bvk.it@psgtech.ac.in
5 Representative from industry/corporate sector/allied areas (1 Member)
Nominated by the Principal
Ms.Sivajothi Velayudham
Quality Leader,
Emergere Technologies LLC, Pelamedu, Coimbatore
Cell: 8870544668
Email: jothihcl@gmail.com
6 College Alumni (1 Member)
Nominated by the Principal
Mr.S.Loganathan
Senior Consultant,
HCL Technologies, Chennai
Cell: 9940409845
Email: logumca2011@gmail.com
7 Experts (1 Industrial Expert + 1 Academic Expert) Dr.B.Ezhilavan
CEO and Managing Director,
VEI Technologies Private Ltd, Chennai
Cell: 9003785766
Email: info@vei.technologies.com

Dr.K.Sakthivel
Professor,
Computer Science and Engineering,
K.S. Rangasamy College of Technology, Thiruchengode – 637 215
Cell: 8842166425
Email: k_sakthivel72@yahoo.com

Laboratory Facilities

S.NO Course Code Practical
1 23GE125 Basic Computing Laboratory
2 23GE221 Programming in C Laboratory
3 23GE321 Problem Solving and Python Programming Laboratory
4 23AD321 Data Structures and Algorithm Laboratory
5 23AD421 Artificial Intelligence and Machine Learning Laboratory
6 23AD422 Database Design and Management Laboratory
7 23AD423 Data Science and Analytics Laboratory
8 23AD521 Deep Learning Laboratory
9 23AD522 Data and Information Security Laboratory
10 23AD621 Mobile Applications Development Laboratory
11 23AD622 Data Modeling and Business Intelligence Laboratory
12 23AD721 Advanced AI and Robotics Laboratory

Research and Development

Description Count
Scholars 4
Book Publications Nil
Journal 01
Patent 3

MoU Signed

S.NO Name of the Institution/Industry/Corporate House Month and Year of signing MoU Duration
1 MoU with NoobTron FC Pvt. Ltd., Chennai. 13.02.2023 5 Years
2 MoU with Live wire, Namakkal. 22.06.2023 5 Years
3 Neuraai Solutions Private Limited 13.12.2023 3 Years

Centre of Excellence

As a Centre of Excellence in Information Technology, we bridge the gap between academia and industry. Through close collaboration with our industry partners, we provide students with opportunities to work on real-world projects and gain invaluable experience. Our commitment to sustainable energy solutions drives our research and education, contributing to a greener future.

Gnanamani College of Technology (Autonomous), Namakkal, proudly collaborates with leading industry partners to enhance innovation, research, and skill development. This MoU aims to bridge the gap between academia and industry, providing students with hands-on experience, expert mentorship, and cutting-edge technological insights.

  1. Precision Infomatic (M) Pvt. Ltd. – IT Infrastructure & Solutions
  2. SAT Connections – Networking & Communication Technologies
  3. Datareveal IT Consulting Private Limited – Data Analytics & Cyber security
Prize Winning Project
Prize Winning Project

(Precision Infomatic (M) Pvt. Ltd / SAT Connections / Datareveal IT Consulting Private Limited)

PLACEMENT RECORDS

Batch Total Strength Placed Student Count Percentage
2020-2024 31 16 51.61

Alumini Details
Distinguished Placed Students

S.No Batch Name Designation Company Name
1 2018 - 2022 Vasanth Kumar S Associate Engineer Enoah iSolution Private Limited
2 2018 - 2022 Karthickraja Software Engineer Jilaba Software Service Private Limited
3 2018 - 2022 G Janarthanan Full Stack Software Developer eNoah iSolution Pvt Ltd, Chennai
4 2018 - 2022 P Gokul SAP Consultant Infosys
5 2022 - 2024 Nandhakishore InfoSec PLINTRON Mobility Services
6 2022 - 2024 Ajay L InfoSec PLINTRON Mobility Services

Alumni Details

S.No Batch Name Designation Company Name
1 2020-2024 BALASURYA S Product Analyst Plintron Global Services, Chennai.
2 2020-2024 JOSENA REEJU B Assistant System Engineer Tata Consultancy Services, Kochin.

Professional Societies



Department Activities

S.No Academic Year Sem Type of the Program Name of the Program Date Total Students Participated Whether the program is organized by / Professional Body (Name)/MOU Industry(name)/General
1 2024-2025 ODD Poster Presentation Poster Presentation of Ideas 19.11.2024, 20.11.2024, & 21.11.2024 250 Institution Innovation Council (IIC) and Entrepreneurship Development Cell (EDC)
2 2024-2025 ODD National Level Technical Symposium Gnan Whizkid-2k24 25.10.2024 175 General
3 2024-2025 ODD Seminar Tech Driven Startups & Entrepreneurship 27.08.2024 256 Institution Innovation Council (IIC), Entrepreneurship Development Cell (EDC) and Institution of Engineers (IEI)
4 2024-2025 ODD Webinar Innovative Practices and Skill Enhancement for Students 24.08.2024 84 Alumni Talk Series
5 2023-2024 EVEN Innovative Ideas Mentoring Event on Innovative Idea Presentation 26.02.2024 & 27.02.2024 82 Professional Body
6 2023-2024 EVEN Guest Lecture Intellectual Property Rights in Engineering Life, Patent Filling Procedure and IP Management for Startup 02.02.2024 65 Professional Body
7 2023-2024 EVEN Innovative Ideas Mentoring Event on Innovative Idea Presentation 28.05.2024 150 Professional Body
8 2023-2024 EVEN Innovative Ideas Market Analysis and Opportunity Identification for Entrepreneurs 28.05.2024 150 Professional Body

Faculty and Students Achievements

S.NO ACADEMIC YEAR STUDENTS PARTICIPATION COUNT PRIZE WINNERS
1 2024-2025 129 2

Internship Details

S.NO ACADEMIC YEAR STUDENTS INTERNSHIP- COUNT
1 2024-2025 120

Value added courses Details

S.No Name of the value-added courses Academic year Number of students enrolled during the year
1 Website development using java script 2023-2024 30

Faculty Achievements

S.No ACADEMIC YEAR FACULTY NAME ACHIEVEMENTS
1 2024-2025 Mrs. J. Gayathri ELITE In NPTEL
2 2023-2024 Mr. G. Sivakumar ELITE SILVER IN NPTEL
3 2023-2024 Mr. A. Jeeva ELITE SILVER IN NPTEL

Department Library

The Artificial Intelligence and Data Science Department Library has a collection of textbooks with hundreds of titles on a variety of topics. Library also possesses journals, magazines, project and seminar reports, lab manuals and question banks and CDs of e-journals and e-books. The collection is strong in all aspects with special strengths in programming basics. Software development, Computer architecture and Organization, Operating systems, networking and Database administrations and internet technologies.

Particulars Numbers
Total No. of Titles 95
Total No. of Volumes 133
Total No. of e-Journals 24
Total No. Printed Journals 2

Industrial Visit

The department of Artificial Intelligence and Data Science final year students went to industrial visit to mysuru.The company name was “LEEPRA TECHNOLOGIES PVT LTD”.

Prize Winning Project

Alpha Ace Academy Pvt Ltd, Mysore

Prize Winning Project

Industrial visit to company, C-DAC in Trivandrum on (27/3/2024) Centre for Development of Advanced Computing (CDAC), Thiruvananthapuram, Kerala

Prize Winning Project

SMEC Technologies, Info park Campus, Kochi, Kerala.

Prize Winning Project

Curriculum UG-R2017

SEMESTER I

HS8151Communicative English
MA8151Engineering Mathematics - I
PH8151Engineering Physics
CY8151Engineering Chemistry
GE8151Problem Solving and Python Programming
GE8152Engineering Graphics
GE8161Problem Solving and Python Programming Laboratory Laboratory
BS8161Physics and Chemistry Laboratory

SEMESTER II

SEMESTER III

SEMESTER IV

SEMESTER V

SEMESTER VI

SEMESTER VII

SEMESTER VIII

Curriculum UG-R2021

SEMESTER I

IP3151Induction Programme
HS3151Professional English - I
MA3151Matrices and Calculus
PH3151Engineering Physics
CY3151Engineering Chemistry
GE3151Problem Solving and Python Programming
GE3152Scientific Thoughts in Tamil
GE3171Problem Solving and Python Programming Laboratory
BS3171Physics and Chemistry Laboratory
GE3172English Laboratory

SEMESTER II

SEMESTER III

SEMESTER IV

SEMESTER V

SEMESTER VI

SEMESTER VII

SEMESTER VIII

MANAGEMENT ELECTIVE

MANDATORY COURSES I

MANDATORY COURSES II

STUDENTS DETAILS(2020-2024)


STUDENTS DETAILS(2021-2025)


Teaching Learning Practice


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Laboratory Facilities

1

Data Science Lab

2

Case Tools Lab

3

Operating System lab

4

Database Management Lab

5

Data Analytics Lab

6

Artificial Intelligence Lab

7

Deep Learning Lab

8

Computer Networks Lab

9

Machine Learning Lab

LIBRARY DETAILS

Department Library

S.No. Category Cumulative acquisition as on date
1 No of book titles 85
2 No of book volumes 108

VALUE ADDED COURSES

ACADEMIC YEAR 2019 – 2020

R Tool,Tableau,Tensor flow and Jupyter

  • In order to get exposure in data analytics, Machine Learning and AI. The world's most popular data science platform.

Python Programming

  • To help mastering the students in recent technologies Python programming is inculcated to the students for improving coding skills.

Hadoop

  • To setup Hadoop clusters and handling huge volume and variety of data through Hadoop ecosystem.

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