ABOUT THE DEPARTMENT

The Department of Artificial Intelligence and Data Science at Meenakshi College of Engineering was established in the year 2023, it offers undergraduate program (B.Tech Artificial Intelligence and Data Science) with an intake of 60 students. An exceptional department dedicated to equipping students with advanced knowledge in Artificial Intelligence, Data Science, Machine Learning, Deep Learning, and more. The curriculum is designed to provide students with the foundation to acquire the skills for intelligent data analysis, which is crucial in various real-world applications.

Vision

To be a center of academic excellence with emphasis on in-depth technical knowledge for creating a value-based sustainable society.

Mission

  • Develop and practice skills to meet the demands of the corporate world.
  • Create an ecosystem of academic excellence through the best possible teaching learning
  • Groom professionals with high ethical values and ability solve real-life problems.
  • Foster research aptitude through project-based learning.

PROGRAM EDUCATIONAL OBJECTIVES (PEOs)

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

PROGRAM OUTCOMES (POs)​

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

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: 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.

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 (PSOs)

  1. Evolve AI based efficient domain specific processes for effective decision making in several domains such as business and governance domains.
  2. Arrive at actionable Foresight, Insight, hindsight from data for solving business and engineering problems
  3. 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
  4. 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.

COURSE OUTCOMES

S.No

Name

Qualification

Designation

1

MRS. V. SUNANTHINI

B.E.,M.E.,(Ph.D)

HOD/ Assistant Professor

2

MRS.B.LAKSHMI

B.E.,M.E., (Ph.D)

Assistant professor

3

MRS.M.DIVYA

B.E.,M.E., (Ph.D)

Assistant professor

Lab Facilities

FACULTY JOURNALS

Name  Of Faculty

Pubilcations

Mrs.V.Sunanthini

Published  paper  on “A pneumatic robot arm for sorting of objects with chromatic sensor module Materials Today”: Proceedings on January 2021.

Mrs.V.Sunanthini

Published paper on “A pneumatic robot arm for sorting of objects with chromatic sensor module Materials Today”: Proceedings on January 2021.

Mrs.Divya.M

Published paper an article” Preserving Integrity of Foresenic Evidence Using Blockchain Technology” International Journal  of Novel Research and Development(IJNRD) Volume 4, Issue 9 ISSN :2456-4184 April 2024,

Books

Mrs.V.Sunanthini                     

Published Book entitled “Computer Networks ’ –Scientific International Publishing Home  Publication in the year 2023.

ISBN 9789357574365