DEPARTMENT OF ARTIFICIAL INTELLIGENCE & DATA SCIENCE

About the Department

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.

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.

Program Educational Objectives (PEO) & Program Specific Outcomes (PSO)

PEO

  • 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.
  • 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.
  • Think logically, pursue lifelong learning and collaborate with an ethical attitude in a multidisciplinary team.
  • Design and model AI based solutions to critical problem domains in the real world.
  • Exhibit innovative thoughts and creative ideas for effective contribution towards economy building.

PSO

  • Evolve AI based efficient domain specific processes for effective decision making in several domains such as business and governance domains.
  • Arrive at actionable Foresight, Insight, hindsight from data for solving business and engineering problems.
  • 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.
  • 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.
  • Able to carry out fundamental research to cater the critical needs of the society through cutting edge technologies of AI.

PROGRAMME OUT COMES (PO)
PO 1 - Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO 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.
PO 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.
PO 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.
PO 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.
PO 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.
PO 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.
PO 8 - Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO 9 - Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO 10 - 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.
PO 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.
PO 12 - Life-long learning: Recognise the need for, and have the preparation and ability to engage in independent and lifelong learning in the broadest context of technological change.

Faculty

null

A.BARVEEN

Designation Head of the Department
Joining Date 25.06.2009
Qualification M.E., Ph.D.,
Nature of association Regular
Experience (in Years) 13 Years 6 Months
Email id barveen.a@miet.edu
null

SENTHILNATHAN.S

Designation Assistant Professor
Joining Date 11.05.2023
Qualification M.E., M.B.A.,
Nature of association Regular
Experience (in Years) 14 Years
Email id senthilnathan.s@miet.edu
null

K.UDHAYA KUMAR

Designation Assistant Professor
Joining Date 26.12.2023
Qualification M.Tech.,
Nature of association Regular
Experience (in Years) 4 Years 3 Months
Email id udhayakumar.k@miet.edu

Curriculum Details

Value Added Courses

2023-2024

  • RDBMS

Innovative Teaching

  • 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.

Laboratory Details

Artificial Intelligence Laboratory / Python

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.

Database Design and Management Laboratory / My SQL / ArgoUML

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.

Event Organised

  • Guest Lecture: “Artificial Intelligence and Machine Learning using R Programming” on 26.03.2024

    Topic:Artificial Intelligence and Machine Learning using R Programming”        Date: 27.11.2023 / Monday, Time:- 11.30 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
    H M M M H M M

    H

     

  • 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
    H M M M H M M

    H

     

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

Contact us

Prof. A. Barveen
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