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.

VISION

To empower students of Artifial Intelligence And Data Science 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 eve -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)

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.

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)

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.

COURSE OUTCOMES (COs)

Contents..

Membership in Professional Bodies

CSI STUDENT CHAPTER

ISTE

Objectives

To enhance professional ideals & standards

To improve instructional methods & practices & administrative usages.

To cultivate fraternal spirit amongst the teachers, administrators, industrialista & professionals
To bring about effective linkage between technical institutions industry & society
To arrange, institute & award appropriate fellowships, prizes, scholarships & stipends in furthering the objectives of the ISTE

Activities

Summer/Winter schools for engineering teachers & practicing engineers

Curriculum development &updating

Preperation of teacher-manuals & other instructional resource materials
Special short term industrial exposure programmes for teachers organised by industries in their premises
Seminars/workshops/conferences on topics of relevance of technical education Computer education programmes
Project review & evaluation
Preparation of directories on technical education facilities/expertise
Publication of a bi-monthly ISTE Newsletter
Publication of a quarterly Indian journal of Technical Education
Publication of ISTE Handbook
Publication of learning materials in the area of Electronics & Computers.
Publication of various monograms

Curriculum Association Activities

Our Department Association has organized several guest lecturers with eminent personalities fromindustryandinstitution,seminars on current scenarios & workshop for recent trends in IT with hands on session.ProgrammingContest,paperpresentationcontest,Multimedia Contest and Innovative Project Exhibition are conducted every year for students under student association .

RFT, Infosys Campus Connect Foundation Programme, LAMP Course, Oracle Java Certification courses, International Certification on Cloud Infrastructure and Services are organized in association with reputed industries in each semester for the benefits of the students.

Sl No	Dates	Name of the activity
1	31.08.17	Data Banalytics And Cloud In S/W Industry
2	19.07.16	An Introduction To Red Hat Linux
3	28.07.16	Internet Of Things ,Trends And Challenges In Standardization
4	07.08.16	Advanced Dot Net Application
5	16.08.17	An Introduction To Android Application

Thrust Areas

Network Security
Compiler design
Grid And Cloud Computing
Mobile computing

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.