AI & DS - M.A.M. School of Engineering

Department of Artificial Intelligence and Data Science

Bachelor of Technology (B.Tech) in Artificial Intelligence and Data Science is a four-year full-time undergraduate programme offered at M.A.M. School of Engineering, Trichy, recognized by All India Council for Technical Education (AICTE) and affiliated by the Anna University, Chennai.Aim of Artificial Intelligence and Data Science (AI&DS) is to tackle complex real-world problems(web search, speech recognition, and machine translation) that span across various practices of engineering with rigorous mathematical tools. The objective of this course is to present an overview of the principles and practices of AI to address such complex real-world problems. The course is designed to develop a basic understanding of problem solving, knowledge representation, reasoning and learning methods of AI.

This department recognizes the immense potential of the students and inculcates in them the habit of innovative thinking and problem solving capability. The faculty members have professional membership in CSI and ISTE,ISSE,IEI.

Teaching is the profession that teaches all the other professions goes an adage.

It also promotes active industry-institute collaboration by identifying areas of interest and taking part in sponsored research projects. The department offers undergraduate degree programmes.

About Courses

The Artificial Intelligence and Data Science (AI&DS) programme enables the students to acquaint themselves with the latest developments in the field of computational technologies and also to learn innovative approaches in programming subjects.

The department offers undergraduate degree programmes. Undergraduate graduate programme incepted during 2022, the Department has been recognized as a Centre for Research, by Anna University.This department recognizes the immense potential of the students and inculcates in them the habit of innovative thinking and problem solving capability. The department is also a pioneer in developing the positive attitude to instill the self-confidence in our students.

Faculty

Name of the Faculty	Qualification	Designation	Area of Specialization
Dr Brindha J	P.hD.,	Professor	CSE
Mrs.I.Vinnarasi Tharania	M.E.,	Assistant Professor	CSE
Mrs.C.Chitra	M.E.,	Assistant Professor	CSE
Mrs.M.Bairoja	M.E.,	Assistant Professor	CSE
Mrs.A.Jenitha Princy	M.E.,	Assistant Professor	CSE
Mr.Abdul Kadher S	M.E.,	Assistant Professor	CSE

VISION

To empower students of AI & DS Department to be technologically adept, innovative, self-motivated and responsible global citizens possessing human values and enable them to contribute in industrial development innovation, high quality technical education and research with the ever-changing world.

MISSION

For a challenging professional career and nurture their entrepreneurship ability by grooming their leadership skills and innovative ability, thereby enabling them to serve the engineering profession and society. To accomplish higher studies by providing conducive, teaching - learning, research environment. .

PROGRAM EDUCATIONAL OBJECTIVES (PEOs)

Apply their technical competence in computer science to solve real world problems, with technical and people leadership.

Conduct cutting edge research and develop solutions on problems of social relevance.

Work in a business environment, exhibiting team skills, work ethics, adaptability and lifelong learning.

PROGRAM OUTCOMES (POs)

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 Teamwork

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

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.

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.

PROGRAM SPECIFIC OUTCOMES (PSOs)

Exhibit design and programming skills to build and automate business solutions using cutting edge technologies.

Strong theoretical foundation leading to excellence and excitement towards research, to provide elegant solutions to complex problems.

Ability to work effectively with various engineering fields as a team to design, build and develop system applications.

COURSE OUTCOMES (COs)

MEMBERSHIP IN PROFESSIONAL BODIES

CSI STUDENT CHAPTER

CONTACT

Details of Laboratories

Sl No	Name of the Laboratory	Location
1	PETER NORTON LAB	MB - 003
2	CHARLES BABAGE LAB	MB - 107
3	SHIVA AAYADURAI LAB	MB - 110
4	MAX NEWMAN LAB	MB - 203
5	RICHARD STALLMAN LAB	MB - 204
6	CRAIG LARMAN	MB - 205

Research Centre

Research and Development Laboratory was established in the academic year 2010. The department offers qualitative training and scope for more research. The department provides state-of-the-art computing facilities to the students. It also promotes active industry-institute collaboration by identifying areas of interest and taking part in sponsored research projects.

The department has organized IEEE International conference and received funds from AICTE, DRDO, CSIR, DIT and Anna University Chennai for organizing National level Conferences, Seminars, Workshops, Faculty Development Programmes and Staff Development Programme.

Development Laboratory

DEPARTMENT ACTIVITIES

PLACEMENT

Placement Partners