The Department of Artificial Intelligence and Data Science (AI&DS) was established in the year 2022 which mainly focuses on computation, analysis of algorithms, programming languages, program design, software engineering, computer hardware, computer networks and problem-solving skills. The department offers an U.G. Degree programme, B.Tech-AI&DS with a sanctioned intake of 60 students. The Department has excellent infrastructure in terms of laboratories, classrooms, seminar hall, etc. The laboratories are interconnected through a well-designed seamless network with internet facility to facilitate the students access to web resources. This helps the students in meeting the demands of the regular curriculum and latest technology needs. With the co-operation and involvement of the dedicated team of well-qualified faculty members, the department constantly strives to improve its academic standards. Our students involve in developing the solutions for real time industrial problems and participate in national level and international level competitions and brought laurels to the department. The curriculum of this programme is designed to introduce the students to data-oriented skills. The tasks performed by the engineers of this discipline are reflecting on new developments or changes in technology, according to the preferences and practices of the employers.
Student Achievements
SI.NO
NAME OF THE STUDENT
YEAR
ORGANIZED BY INSTITUTIONS / INDUSTRY
DATE & VENUE
PRIZES WON
1
Thanveerul Irfan.V
III
K. Ramakrishnan College of Engineering and Technology, Trichy
24.04.2024
Protech
I Prize
2
Shree Ganesh P
II
M.A.M College of Engineering and Technology, Trichy
27.03.2024
Paper Presentation
I Prize
3
Shree Ganesh P
II
K. Ramakrishnan College of Engineering and Technology, Trichy
01.03.2024
Connections
II Prize
4
Athul Krishna U
II
Saranathan College of Engineering, Trichy
26.10.2023 & 28.10.2023
Cricket
II Prize
5
Santhiya R
II
Saranathan College of Engineering, Trichy
26.10.2023 & 28.10.2023
Cricket
II Prize
VISION & MISSION
Vision
To Achieve excellent standards of quality-education by using the latest tools, nurturing collaborative culture and disseminating customer-oriented innovations to relevant areas of academia and industry towards serving the greater cause of society.
Mission
To develop professionals who are skilled in the area of Artificial Intelligence and Data Science.
To impart quality and value-based education and contribute towards the innovation of computing, expert system, Data Science to raise satisfaction level of all stakeholders.
To apply new advancements in high performance computing hardware and software in the works undertaken.
Equip the students with high quality education and research in emerging technology.
To inculate the analytical and logical skills in the field of Artificial Intelligence and Data Science.
Board of Study members
S.No.
Name of the Members
Designation
Position
1
Dr.I.Shahanaz Begum
Professor& Dean /CSE,
M.I.E.T. Engineering College, Tiruchirapalli
Professor/CSE
Department of Computer Science and Engineering, Thiagarajar College of Engineering, Madurai
University Nominee
5
Dr.S.Nickolas
Professor/CSE
Department of Computer Applications,
National Institute of Technology, Tiruchirapalli
Subject Expert
6
Dr.S.Nagarajan
Associate Professor/CSE,
Department of Computer Science and Engineering, Government College of Engineering - Srirangam, Tiruchirapalli
Subject Expert
7
Ms.A.K.Ayesha Shereen
Capgemini Technology Services Pvt. Ltd, Chennai
Industry Expert
8
Mr.M.Mohamed Abdullah
Adella Software & Services, Trichy
Alumni
All Faculty members of Artificial Intelligence and Data Science Department
Minutes of Meeting
Program Educational Objectives (PEO) & Program Specific Outcomes (PSO)
PEO
Apply foundational knowledge in science, mathematics, AI, data science and statistics to build intelligent, data-driven systems and solutions.
Enhance technical and research skills to develop innovative, sustainable AI solutions for real-world challenges and ecosystem welfare.
Demonstrate logical thinking, ethical values and teamwork while contributing creatively to multidisciplinary projects, economic development and lifelong learning.
PSO
Apply AI and data analytics including data visualization and knowledge engineering to develop domain-specific solutions, support decision-making and manage complex projects in business, governance and engineering.
Conduct fundamental research using advanced AI technologies to generate insights and solve critical societal challenges.
PROGRAMME OUTCOMES (PO)
PO 1 - Engineering knowledge: Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems.
PO 2 - Problem analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)
PO 3 - Design/development of solutions: Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required. (WK5)
PO 4 - Conduct investigations of complex problems: Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions. (WK8).
PO 5 - Engineering tool usage: Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems. (WK2 and WK6)
PO 6 - The Engineer and The World: Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment. (WK1, WK5, and WK7).
PO 7 - Ethics:Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)
PO 8 - Individual and Collaborative Team work: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
PO 9 - Communication:Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences.
PO 10 - Project Management and Finance:Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.
PO 11 - Life-Long Learning: Recognize the need for, and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change. (WK8)
Knowledge and Attitude Profile (WK)
WK 1 - A systematic, theory-based understanding of the natural sciences applicable to the discipline and awareness of relevant social sciences.
WK 2 - Conceptually-based mathematics, numerical analysis, data analysis, statistics and formal aspects of computer and information science to support detailed analysis and modelling applicable to the discipline.
WK 3 - A systematic, theory-based formulation of engineering fundamentals required in the engineering discipline.
WK 4 - Engineering specialist knowledge that provides theoretical frameworks and bodies of knowledge for the accepted practice areas in the engineering discipline; much is at the forefront of the discipline.
WK 5 - Knowledge, including efficient resource use, environmental impacts, whole-life cost, re-use of resources, net zero carbon, and similar concepts, that supports engineering design and operations in a practice area.
WK 6 - Knowledge of engineering practice (technology) in the practice areas in the engineering discipline.
WK 7 - Knowledge of the role of engineering in society and identified issues in engineering practice in the discipline, such as the professional responsibility of an engineer to public safety and sustainable development.
WK 8 - Engagement with selected knowledge in the current research literature of the discipline, awareness of the power of critical thinking and creative approaches to evaluate emerging issues.
WK 9 - Ethics, inclusive behavior and conduct. Knowledge of professional ethics, responsibilities, and norms of engineering practice. Awareness of the need for diversity by reason of ethnicity, gender, age, physical ability etc. with mutual understanding and respect, and of inclusive attitudes.
Google Classroom – A free collaborative learning tool has been implemented for faculty and students. Faculty can create an online classroom and invite students to join the class then create and distribute the assignments, PPTs, Video Lectures, Lecture Notes. Within the Google Classroom, students and faculty can have interactions about the assignments and clarify their doubts in subjects through online.
Smart Class Room – Leverage the advanced technology which provides tools and other contents for the students’ learning using latest media presentations.
Inquiry Based instructions – Encouraging students to ask questions and investigate their own ideas that helps in improving their problem-solving skills.
Role Play – The role playing approach will help students to understand how the concepts will be relevant to their day to day activities.
Think Pair Share – Students are divided into two groups. One group thinks and raise questions and another group will find the answers.
Peer to Peer Learning – Students are separated as a pair and make them to discuss about the learned topic with each other.
Intel Core i7, Asus Motherboard, Crucial 16GB DDR4 RAM, LEXAR 512GB SSD Hard Disk, Samsung 22″ LED Monitor, Dell USB Keyboard, Dell Optical Mouse, Sony Projector.
Intel Core i7, Asus Motherboard, Crucial 16GB DDR4 RAM, LEXAR 512GB SSD Hard Disk, Samsung 22″ LED Monitor, Dell USB Keyboard, Dell Optical Mouse, Sony Projector.
One Day Guest Lecture: “Building a Successful Career in AI Technology” on 25.08.2025
Topic: “Building a Successful Career in AI Technology”
Venue: T & P Seminar Hall
Target Audience: IV Year AI&DS
Resource person: Dr. Vinay Raj,
Assistant Professor,
Department of Computer Application,
National Institute of Technology (NIT),
Tiruchirappalli.
Objective of Program:
To Provide an overview of key AI concepts and technologies, such as machine learning, deep learning, natural language processing, and computer vision.
Create opportunities for attendees to network with AI professionals, experts, and companies hiring for AI roles.
Topics Covered
Technical Skills Development, Specialized AI Domains, Career Pathways in AI.
Outcomes
Students gained a clear understanding of the various career opportunities in Artificial Intelligence, including roles such as Machine Learning Engineer, Data Scientist, NLP Engineer, and AI Researcher.
PO & PSO Mapping
PO1
PO2
PO3
PO4
PO5
PO6
PO7
PO8
PO9
PO10
PO11
PO12
PSO1
PSO2
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One Day Workshop: “Data Analytics Using Power Bi and Tableau” on 21.03.2025
Topic: “Data Analytics Using Power Bi and Tableau”
Venue: ‘C’ Block Computer Lab
Target Audience: III Year AI&DS
Resource person: Mr.K.Muthu Karuppan,
AI Trainer,
Big Learn,
Tiruchirappalli. Mr.G.Balaji,
Data analyst Trainer,
Big Learn,
Tiruchirappalli.
Objective of Program:
To transform raw data into actionable insights and facilitate data-driven decision-making.
To improve the flow of analysis and make data more accessible to people through visualization.
Topics Covered
Foundational concepts, data connection and transformation, data modeling, data visualization and reporting techniques.
Outcomes
Students can learn about the Power Bi and Tableau, how to place the companies, what abilities are required to place those companies, and what engineers are expected to do by companies.
PO & PSO Mapping
PO1
PO2
PO3
PO4
PO5
PO6
PO7
PO8
PO9
PO10
PO11
PO12
PSO1
PSO2
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Professional Guidance: “Navigating your path to FAANG and Beyond” on 15.11.2024
Topic: “Navigating your path to FAANG and Beyond"
Venue: ‘C’ Block Seminar Hall
Target Audience: II & III Year IT, AI&DS
Resource person: Mr. S. Amrutam Sunil
Software Development Engineer,
Amazon,
Chennai.
Objective of Program:
To devise intervention strategies for developing, engaging, rewarding and retaining talented personnel.
To apply models of career counselling that are appropriate for use in an organizational set-up.
Topics Covered
FAANG, Transitioning from College to Industry Learning & Success.
Outcomes
Students can learn about the FAANG, how to place the companies, what abilities are required to place those companies, and what engineers are expected to do by FAANG companies.
PO & PSO Mapping
PO1
PO2
PO3
PO4
PO5
PO6
PO7
PO8
PO9
PO10
PO11
PO12
PSO1
PSO2
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Workshop: “Full Stack Development” on 23.10.2024
Topic: “Full Stack Development"
Venue: B’ Block Seminar Hall
Target Audience: III Year IT, AI&DS
Resource person: Ms. V. Swetha
Full Stack Developer, ,
Big Learn,,
Tiruchirappalli.
Objective of Program:
To make the students to learn & understanding the concept of full stack development.
To equip students with comprehensive skills in full stack development
By providing hands-on experience with front-end and back-end
technologies.
Topics Covered
Full Stack Web Development, Web Application using HTML
Outcomes
The students are able to implement full stack development process.
PO & PSO Mapping
PO1
PO2
PO3
PO4
PO5
PO6
PO7
PO8
PO9
PO10
PO11
PO12
PSO1
PSO2
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Guest Lecture: “Artificial Intelligence and Machine Learning using R Programming” on 26.03.2024
Topic: “Artificial Intelligence and Machine Learning using R Programming
Date: 26.03.2024 / Tuesday, Time:- 10.00 am.
Venue: ‘B’ Block Seminar Hall
Target Audience: II year, AI&DS students
Resource person: Dr. D. Senthilkumar
Assistant Professor, Department of Computer Science and Engineering,
Anna University-BIT Campus,
Tiruchirappalli.
Objective of Program:
To make the students to understand the Machine Learning process through R Programming.
To make the students to get knowledge on emerging AI techniques.
Topics Covered
Artificial Intelligence, Machine Learning, R Programming, Explainable AI
Outcomes
The students are able to implement Machine learning algorithms using R programming
The students understood the emerging AI techniques
PO & PSO Mapping
PO1
PO2
PO3
PO4
PO5
PO6
PO7
PO8
PO9
PO10
PO11
PO12
PSO1
PSO2
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Guest Lecture: “Recent Trends in Computing Techniques” on 27.11.2023
Topic: “Recent Trends in Computing Techniques”
Date: 27.11.2023 / Monday, Time:- 11.30 am.
Venue: ‘C’ Block Seminar Hall
Target Audience: II year, AI&DS students
Resource person: Dr.M.Thirunavukkarasan
Associate Professor, School of Computer Science and Engineering,
VIT-Vellore.
Objective of Program:
To make the students to understand the computer application trends to predict where the computer technology heading the future.
To indicate and introduce new markets or open up new merchandise or new methods that could give potential lead to online competition.
Topics Covered:
Recent trends like Cloud computing, Internet of Things, 5G, Cyber security etc.
Outcomes
The students gained their knowledge about various recent trends in Computing.
The students understood therecent job opportunities in private Sectors.
PO & PSO Mapping
PO1
PO2
PO3
PO4
PO5
PO6
PO7
PO8
PO9
PO10
PO11
PO12
PSO1
PSO2
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Industry Interaction
Memorandum of Understanding (MOU) Signed
The Department of Artificial Intelligence and Data Science has signed an MOU with
Ozone Cyber Security, Ernakulam Kerala
Orbit Controls and Services, Chennai
Industrial visit
Zop Tech Web Development Company, Kodaikanal
Spectrum Soft Tech Solutions Pvt., Ltd., Kochi
Contact Us
Prof. K. Dasarathi Shohi
Head of the Department
Department of Artificial Intelligence & Data Science
M.I.E.T. Engineering College,
Gundur, Trichy-07.
Mail ID: ai_ds.hod@miet.edu
