Artificial intelligence and Data Science (UG)

BOARD OF STUDIES

S.No	Name	Designation	Position	Category
1	Dr.R.Thendral	Assistant Professor, Department of Information Technology	Chairman	Head of the Department
2	Dr.P.Geetha	Professor, Department of Computer Science and Engineering CEG Campus, Anna University, Chennai – 600025.	ANNA UNIVERSITY NOMINEE	Expert nominated by the Vice-Chancellor
3	Dr.S.P.Santharaja	Professor, School of Information Technology and Engineering (SITE), Vellore Institute of Technology (VIT), Vellore.	ACADEMIC COUNCIL NOMINEE	Subject experts from Outside the parent University to be nominated by the Academic Council
4	Dr.P.S.NithyaDarshini	Professor, School of Computer Engineering, Vellore Institute of Technology (VIT), Vellore, Chennai – 600 127.	ACADEMIC COUNCIL NOMINEE	Subject experts from Outside the parent University to be nominated by the Academic Council
5	Mr.S.Venkat Narayanan	Senior Vice President, Infosys Compaz, Singapore	INDUSTRY EXPERT	One Industry / Corporate / Allied area Representative relating to placement
6	Mr.U.Prabu,	Assistant Professor, Department of Computer Science and Engineering,Velagapudi Ramakrishna Siddhartha Engineering College (Autonomous)Kanuru, Vijayawada, Andhra Pradesh - 520 007.	ALUMNI	Post Graduate Meritorious Alumni nominated by the principal

COMPUTER PROFESSIONAL's ASSOCIATION

The Computer Professional's Association is Self-Financed activity for the students of Department of Computer Science & Engineering to promote themselves by conducting Seminars, Project Expo,Guest Lectures and National Level Technical Symposiums every semester and also various competitions. The Association of "COMPASS" was created to surf the knowledge of the students and to make them well-trained engineers and qualified pillars of our country.

Innovative Teaching

CLICK HERE TO VIEW – SUMMARY OF INNOVATIONS BY FACULTY IN TEACHING AND LEARNING

Multimodal Information Laboratory

Training and Placements.

A strong partnership with industry will be a solid foundation for a successful career. IFET has strong links with many firms and organizations in the private and public sectors. New knowledge skills and insights into work can be developed by students in conjunction with employers in the business and industry sectors.

LIST OF STUDENTS PLACED

2019-2020	Click Here
2018-2019	Click Here
2017-2018	Click Here
2016-2017	Click Here
2016-2017	Cllick Here
2015-2016	Cllick Here

BOARD OF STUDIES

S.No	Name	Designation	Position	Category
1	Dr. S. Matlida	Professor,Department of Computer Science and Engineering	Chairman	Head of the Department
2	Dr.S.Swamynathan	Professor,Department of Information Science and Technology,CEG Campus, Anna University, Chennai	Member	Expert nominated by the Vice-Chancellor
3	Dr.S.Margret Anouncia	Professor,School of Computer Science and Engineering,Vellore Institute of Technology.	Member	Two subject experts from Outside the parent University to be nominated by the Academic Council
4	Dr.A.Kannan	School of Computer Science and Engineering,VIT University,Vellore.	Member	Two subject experts from Outside the parent University to be nominated by the Academic Council
5	Mr.Balamurugan.S.P	Founder, GUVI Geek Network Private Limited.	Member	One Industry /Corporate / Allied area Representative relating to placement
6	Ms.R.Maivizhi	Research Scholar, Anna University.	Member	Post graduate Meritorious alumni nominated by the principal

PROGRAM EDUCATIONAL OBJECTIVES

PEO 1				To provide graduates with the ability to develop intelligent systems that require the management and analysis of huge volumes of data using an essential understanding of basic sciences, probability, artificial intelligence, data science, and statistics.
PEO 2				To nurture graduates with the technical skills to undertake pioneering research in Artificial Intelligence and Data Science and develop innovative solutions for ecological well-being.
PEO 3				To empower graduates to think rationally, pursue lifelong learning, and collaborate in a multidisciplinary team with an ethical perspective.

PROGRAM OUTCOMES

POs describe what students are expected to know or be able to do by the time of graduation from the program. At the time of their graduation, the B.E. Computer Science and Engineering students will have the following abilities.

A				Apply knowledge of mathematics, science, engineering fundamentals and computer science engineering specialization to the conceptualization of engineering models.
B				Identify, formulate, research literature and solve complex engineering problems reaching substantiated conclusions using first principles of mathematics and computer science engineering.
C				Design solutions for complex engineering problems and design systems, components or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations.
D				Conduct investigations of complex problems including design of experiments, analysis and interpretation of data, and synthesis of information to provide valid conclusions.
E				Create, select and apply appropriate techniques, resources, and modern engineering tools, including prediction and modeling, to complex engineering activities, with an understanding of the limitations.
F				Function effectively as an individual, and as member or leader in diverse teams, and in multidisciplinary settings.
G				Communicate effectively on complex engineering activities with the engineering community and with the 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.
H				Demonstrate understanding of the societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to engineering practice.
I				Understand and commit to professional ethics and responsibilities and norms of engineering practice.
J				Understand the impact of engineering solutions in a societal context and demonstrate knowledge of and need for sustainable development.
K				Demonstrate a knowledge and understanding of management and business practices, such as risk and change management, and understand their limitations.
L				Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technologies.

PROGRAM SPECIFIC OUTCOMES

PSO 1				Understand, analyse and develop essential proficiency in the areas related to data science and artificial intelligence in terms of underlying statistical and computational principles and apply the knowledge to solve practical problems.
PSO 2				Implement Artificial Intelligence and data science techniques such as search algorithms, neural networks, machine learning and data analytics for solving a problem and designing novel algorithms for successful career and entrepreneurship.
PSO 3				Apply the theoretical and practical aspects of Data Science to manage and solve complex societal problems.

Activities

S.No	Activity	Post on

FACULTY LIST

	ASSOCIATE PROFESSOR	DEGREE
	Dr. T. Ananthkumar	Ph.D.
	Mrs. P. Manjubala	M.E.(Ph.D)
	ASSISTANT PROFESSOR	DEGREE
	Mrs. S. Arunakumari	M.E.
	Mr. A. Ranjeeth	M.Tech.
	Mrs. P. Divya	M.E
	Mrs. Karthiga	M.Tech
	Mrs. S. Sudha	M.Tech.
	Dr. K. Sathiyabama	Ph.D