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.
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. |
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 |
FACULTY LIST
Mr. A. Ranjeeth
Ms. P. Divya
P.manju Bala
S.ARUNAKUMARI