Artificial intelligence and Machine Learning (UG)

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

Machine Learning 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 comprehend, understand and analyse Computer Science Engineering, problems related to real life can be better resolved by artificial intelligence and machine learning.
PEO 2				To promote collaborative learning and the spirit of teamwork through multidisciplinary AI-based projects and diverse professional ethics.
PEO 3				To embrace lifelong learning to meet the ever-changing developments in Artificial Intelligence and Machine Learning.

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.Tech. Artificial Intelligence and Machine Learning students will have the following abilities.

A				Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
B				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.
C				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.
D				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.
E				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 limitation.
F				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.
G				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.
H				Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
I				Individual and teamwork: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
J				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.
K				Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply the set to one’s own work, as a member and leader in a team, to manage projects and in multi-disciplinary environments.
L				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

PSO 1				Apply the fundamental knowledge in analysis, design, and development of human cognition, Artificial Intelligence, Machine Learning, and data engineering in terms of real-world problems to meet future challenges.
PSO 2				Develop competence in analytical, logical & programming skills related to optimization techniques, pattern analysis, and speech recognition for efficient design of computer-based systems of varying complexity.
PSO 3				Develop computational knowledge and project development skills using innovative tools and techniques to solve problems in the areas related to Deep Learning, Machine learning, and Artificial Intelligence.

Activities

S.No	Activity	Post on

FACULTY LIST

	ASSOCIATE PROFESSOR	DEGREE
	Mrs. S. Usharani	M.E.(Ph.D)
	Mr. N. Kumar	M.Tech.
	Mr. R. Parthiban	M.E.
	ASSISTANT PROFESSOR	DEGREE
	Mrs. S. Jayalakshmi	M.E
	Ms. D. Shanmugapriya	M.E.
	Mrs. S. Chanthini	M.E
	Mrs. N. Manvizhi	M.E