Velan Nagar, P.V.Vaithiyalingam Road, Pallavaram, Chennai – 600 117 Ph.: 044-2266 2501 / 02 / 03, Fax : 044-2266 2513 E.mail : [email protected] Website : www.velsuniv.ac.in SELF-ASSESSMENT REPORT (SAR)
For Accreditation of Undergraduate Engineering Programme (Tier-I) B.E., Computer Science and Engineering
Submitted to
NBCC Place, 4th Floor East Tower, Bhisham Pitamah Marg, Pragati Vihar New Delhi 110003 Ph.: +91(11)24360620-22, 24360654 Fax: +91(11) 24360682 E-mail: [email protected] April’2019 B.E., Computer Science & Engg. SELF ASSESSMENT REPORT 2018-2019
SAR CONTENTS
Serial Code & Link to the Item Page No. Item
PART A Institutional Information 1 – 7
PART B Criteria Summary
Program Level Criteria
1 Vision, Mission and Program Educational Objectives 8 -14
2 Program Curriculum and Teaching – Learning Processes 15 – 49
3 Course Outcomes and Program Outcomes 50 - 91
4 Students’ Performance 92 – 108
5 Faculty Information and Contributions 109 – 154
6 Facilities and Technical Support 155 – 159
7 Continuous Improvement 160 – 165
Institute Level Criteria
8 First Year Academics 166 – 179
9 Student Support Systems 180 – 198
10 Governance, Institutional Support and Financial Resources 199 – 313
PART C Declaration 314
DEPT. OF COMPUTER VELS INSTITUTE OF SCIENCE, TECHNOLOGY SCIENCE & ENGINEERING AND ADVANCED STUDIES (VISTAS) B.E., Computer Science & Engg. SELF ASSESSMENT REPORT 2018-2019
PART A : INSTITUTIONAL INFORMATION
1. Name and Address of the Institution: Vels Institute of Science, Technology & Advanced Studies (VISTAS) PV Vaithiyalingam Road, Velan Nagar Pallavaram, Chennai – 600117, Tamilnadu.
2. Name and Address of the Affiliating University : Vels Institute of Science, Technology & Advanced Studies (VISTAS), PV Vaithiyalingam Road, Velan Nagar, Pallavaram, Chennai – 600117, Tamilnadu.
3. Year of establishment of the Institution: 2008
4. Type of the Institution:
Institute of National Importance
University
Deemed University √
Autonomous
Any other (Please specify)
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5. Ownership Status:
Central Government
State Government
Government Aided
Self - financing
Trust
Society
Section 25 Company
Any Other (Please specify)
6. Other Academic Institutions of the Trust/Society/Company etc., if any:
Name of the Year of Programs of Study Location Institution(s) Establishment NIL
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7. Details of all the programs being offered by the institution under consideration:
Increase / Year of Year Accreditatio S. Program Name of the Decrease Increase AICTE of Intake n No. Name Department in / Approval Start Status* intake, Decrease if any UG: - NBA B.E. Applying 1 B.E. Mechanical 2009-10 120 Nil Nil for First Engineering Time
UG:
3628130411 Accredited B.E. Computer - by NAAC 2 B.E. Science and 2008-09 120 Nil Nil
19/1 ‘A’ Grade Engineering F.No. Southern /2018 F.No.
PG: M.E. Computer 3 M.E 2012-13 18 Nil Nil Integrated Manufacturing
PG: M.E. Computer 4 M.E 2010-11 18 Nil Nil Science and Engineering
UG: 3628130411
- B.E. Civil 5 B.E. 2009-10 60 Nil Nil
Engineering 19/1
-
PG: Accredited M.E. by NAAC Construction ‘A’ Grade 6 M.E 2011-12 18 Nil Nil Engineering and Management
UG: Southern /2018 F.No. B.E. 7 B.E. Automobile 2012-13 30 Nil Nil Engineering
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Increase / Year of Year Accreditatio S. Program Name of the Decrease Increase AICTE of Intake n No. Name Department in / Approval Start Status* intake, Decrease if any PG: M.E. 8 M.E 2013-14 18 Nil Nil Automobile Engineering UG: B.E. Electrical and 9 B.E. 2009-10 30 Nil Nil Electronics Engineering
UG:
B.E. Electrical
3628130411 and - 10 B.E. 2008-09 60 Nil Nil Communicatio
19/1 n Engineering -
Accredited UG: by NAAC B.Tech. 11 B.Tech. 2015-16 60 Nil Nil ‘A’ Grade Biotechnology
UG: B.E. 12 B.E. BioMedical 2015-16 30 Nil Nil Southern /2018 F.No. Engineering
UG: B.Tech. 13 B.Tech. Information 2016-17 30 Nil Nil Technology
Table A.7
8. Programs to be considered for Accreditation vide this application
S. No. Program Name 1 Under Graduate B.E. Computer Science & Engineering
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9. Total number of employees:
A. Regular Employees (Faculty and Staff):
CAY CAYm1 CAYm2 Items Min Max Min Max Min Max
M 93 93 94 94 63 63 Faculty in Engineering F 49 49 48 48 39 39
Faculty in Maths, Science M 5 5 10 10 9 9 &Humanities teaching in engineering Programs F 13 13 12 12 8 8
M 16 16 15 15 17 17 Non-teaching staff F 12 12 8 8 7 7
Note: Minimum 75% should be Regular/Full Time faculty and the remaining shall be Contractual Faculty asper AICTE norms and standards. The contractual faculty (doing away with the terminology of visiting/adjunct faculty, whatsoever) who have taught for 2 consecutive semesters in the corresponding academic year on full time basis shall be considered for the purpose of calculation in the Student Faculty Ratio.
CAY – Current Academic Year CAYm1- Current Academic Year minus1= Current Assessment Year CAYm2 - Current Academic Year minus2=Current Assessment Year minus 1
B. Contractual Staff Employees (Faculty and Staff): (Not covered in Table A): CAY CAYm1 CAYm2 Items Min Max Min Max Min Max M Faculty in Engineering F Faculty in Maths, Science & M Humanities teaching in F Not Applicable engineering Programs M Non-teaching staff F
Table A.9b
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10. Total number of Engineering Students:
Item CAY CAYm1 CAYm2
Total No. of Boys 362 342 459
Total No. of Girls 95 91 118
Total No. of Students 457 433 577
Table A.10Total number of Engineering Students
(Instruction: The data may be categorized in tabular form separately for undergraduate, postgraduate engineering, other program, if applicable)
Note: In case the institution is running programs other than engineering programs, a separate tablegiving similar details is to be included.
11. Vision of the Institution:
To make the Institute an epitome of Excellence in higher education by effectively providing high quality education and rigorous training to students in multiple streams of choice with ample scope for all round development to make them excel in their profession for betterment of the society.
12. Mission of the Institution:
M1. Effectively imparting knowledge and inculcating innovative thinking. M2. Facilitating skill enhancement through add-on courses and hands-on training. M3. Doing original, socially relevant, high quality research. M4. Facilitating appropriate co-curricular, extracurricular and extension activities. M5. Instilling the spirit of integrity, equity, professional ethics and social harmony.
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13. Contact Information of the Head of the Institution and NBA coordinator, if designated:
Name: Dr. A.R. Veeramani Designation: Registrar Mobile No: 9962506245 Email id: [email protected]
NBA coordinator, if designated
Name: Dr. S.Arun Designation: Professor, Department of Computer Science & Engineering Mobile No: 9962506209 Email id: [email protected]
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CRITERION - 1 Vision, Mission and Program Educational Objectives 50
1.1. State the Vision and Mission of the Department and Institute (5) INSTITUTION VISION To make the Institute an epitome of Excellence in higher education by effectively providing high quality education and rigorous training to students in multiple streams of choice with ample scope for all round development to make them excel in their profession for betterment of the society. INSTITUTION MISSION Effectively imparting knowledge and inculcating innovative thinking. Facilitating skill enhancement through add-on courses and hands-on training. Doing original, socially relevant, high quality research. Facilitating appropriate co-curricular, extracurricular and extension activities. Instilling the spirit of integrity, equity, professional ethics and social harmony.
DEPARTMENT VISION To develop a knowledge hub for Computer Science Engineers and Technocrats in application of their competence for the betterment of the Individual, Industry and Society.
DEPARTMENT MISSION M1. To align the teaching learning process by ICT tools so as to provide a strong conceptual foundation. M2. To enrich with the advancements of Science and Technology through Seminars, Guest lectures, Workshops, Symposia and Industrial Visits. M3. To attain overall development through Research, Consultancy and Collaboration. M4. To nurture the students to be industry ready by enhancing their employability skills and entrepreneurial skills. M5. To inculcate innovation and creativity through practically viable Internships and Project works. M6. To provide an environment to exhibit their talents, hobbies and interests. M7. To create research oriented mindset and focus in fulfilling growing demands of the society through mentoring and lifelong learning.
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1.2. State the Program Educational Objectives (PEOs) (5).
PEO 1. To design, analyze, innovate and synthesize information in the field of Computer Science and Engineering relating to Industrial applications and Research
PEO 2. To become Entrepreneurs or Employees of Reputed Organizations or Pursue Higher Education. PEO 3. To exhibit leadership capability, endeavoring Social and Economical commitment and a mindset to inculcate community service and to conserve the Environment. PEO 4. To accomplish any tasks with ethical values and commitment to meet the Social needs.
PEO 5. To work in a Multidisciplinary environment by providing solutions to real time problems.
1.3. Indicate where the Vision, Mission and PEOs are published and disseminated among stakeholders (15) Adequacy in respect of publication & dissemination
Vision, Mission and PEOs are displayed in HoD’s Room, Faculty Cabins, Department
Library, Laboratories, Classrooms, Attendance & Assessment Record, Department Notice Boards and other major locations.
Vision, Mission and PEOs are published in the Institution website (http://velsuniv.ac.in/) and Department web page (http://velsuniv.ac.in/computer-science-engineering.asp). It is
also disseminated through Email and social networks.
Process of dissemination among stakeholders
The statements of Vision, Mission and PEOS are printed in the Academic calendar and Newsletters. For the benefit of parents, the Vision, Mission and PEOs are translated in Tamil and the same is disseminated.
Dissemination of Vision, Mission and PEOs
Vision, Mission and PEOs are disseminated among stakeholders during Admission process, by conducting Student Awareness Programs, Student Induction Programs, Parent Teacher meetings, etc. It is also disseminated during Alumni meets and Board of Studies (BOS) meetings.
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The program offered by the department follow these:
Internal Stakeholder External Stakeholder
•Board of Management (BOM) - Coordinate •Parents – Ambassadors for providing the activities of a program in order to achieve constructive suggestions for the smooth defined objectives. Approves the mission and functioning of college. strategic vision of the department. •Alumni - Brand Ambassadors carrying the •Academic Council – Exercises general mission forward. supervision and guidance over the academic work of the Institution in carrying forward the •Professional Bodies – CSI, IEEE, ISTE - objectives. defines and sets standards for excellence in education. •Board of Studies (BOS) - Assists the Department to meet the Program •Industry Experts– IBM, iNurture, Calibsoft, effectiveness. Einnel Technologies, Redhat- utilizing the students - products of the program. •Internal Quality Assurance Cell (IQAC) - Examines the quality assurance process, under •Academic Peers – NIT, IIT, TIER I which our services and operations are Institutions etc., - suggests ways and means of evaluated. delivering quality education.
•Faculty Members- Act as channels for mission to come true.
•Students – Adapt the vision, mission and PEO for professional development.
1.4. State the process for defining the Vision and Mission of the Department, and PEOs of the program (15) The process for defining Vision and Mission of the department was discussed in the department level and it was established through a consultative process involving the stakeholders of the department, the future scope of the department and the societal requirements as shown in Figure 1.1. For formulating the vision and mission of the department, the following steps were followed:
Step 1: Vision and Mission of the Institution are taken as basis Step 2: Views are taken from stakeholders of the department such as students, faculty members, parents, Employers and alumni. Step 3: The views about the Vision and Mission of the Department are formulated by the team of faculty members of the department. Step 4: The Vision and Mission are analyzed and reviewed to check the consistency with the Vision and Mission of the Department at the University level by NBA Quality Cell. Step 5: Finally the Board of Management approve the Vision and Mission of the Department. DEPT. OF COMPUTER VELS INSTITUTE OF SCIENCE, TECHNOLOGY 10 SCIENCE & ENGINEERING AND ADVANCED STUDIES (VISTAS)
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Institution Vision & Mission
Alumni Academi Membe cs Peers rs
Brain Industr y Storming Experts Student Session s Parent s
BOS
Satisfactory No
Yes
IQAC
Satisfactory No
Yes
BOM
Satisfactory No
Yes
Publish Department Vision and Mission
Review after every Five Years
Figure 1.1 Process Defining Department Vision and Mission of the Department
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PEO Framing Process:
The Program Educational Objectives are framed by the Department Advisory board after a careful consideration of feed backs received from the internal and external stake holders. The objective of the program is to produce globally competent Computer Science Engineers possessing all round skills. This objective is divided into five subdivisions in such a way to enhancethe required skills of the graduates. They are as follows: Fundamentals, Core Competence, Logical and Analytical Reasoning, Communication Skill and Continual Learning. The advisory board frames PEOs in-line with the above said requirement. Subsequently the alignment of the framed PEO is verified with the Vision Mission of the Department. Finally accepted version of PEO will be dissemination through all regular modes.
Graduate Attributes Internal External Brainstorming Stake holders Session to frame PEOs Department Vision and Mission
Forming PSOs in Evaluate and Improve PEOs & PSOs alignment with POs & PEOs
Validation of PEOs &PSOs by Mapping of Cos Evaluate and Advisory Board with Pos& PSOs improve CO
By Teaching Learning Process & Assessment
Validati on PEOs Publish & Display
Upgradation every 3 years
Fig. 1.2. Process for defining the PEO’s of the Department
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1.5. Establish consistency of PEOs with Mission of the Department (10)
Mission of the PEO1 PEO2 PEO3 PEO4 PEO5 Department / PEO M1 3 1 2 2 2 M2 3 2 2 2 2 M3 3 3 3 3 3 M4 2 3 2 2 3 M5 3 2 1 3 2 M6 2 1 2 3 2 M7. 2 1 1 2 2
1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)
Justification of mapping PEOs with Mission : Listed below are the factors that are involved in the attainment of the PEOs. Curriculum and Syllabi Lesson Plan Course File Assessments Feedback
Curriculum and Syllabi: The various courses under each program were selected in accordance with the PSOs of the program. The courses, both Regular and Electives were mapped along with the attainment of the PSO and accordingly distributed among the various semesters of the program. The Syllabi for the courses are designed in line with the principles of Outcome Based Education and Prime Objective of attainment of the PSOs.
Lesson Plan: A good curriculum and syllabi is effective only by a well-planned teaching Learning Process. In order to aid this, all faculty members prepare a lesson plan well before the commencement of the classes. This includes the theory and lab courses. It involves not only the contents of the syllabi but focus is given to content beyond syllabus. This lesson plan is duly signed by the head of the department and discussed in the class committee meeting. DEPT. OF COMPUTER VELS INSTITUTE OF SCIENCE, TECHNOLOGY 13 SCIENCE & ENGINEERING AND ADVANCED STUDIES (VISTAS)
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Course File: It is a practice to maintain a course file for each theory course. This keeps track of all the activities carried out in the class room during the course delivery. This includes the time table, lesson plan, record of content delivery, assessment component details, and sample evaluated answer scripts, marks of the Continuous Assessments Tests and the performance analysis sheet and remedial actions taken, if any. The Continuous Assessment Test marks statement provides a way for the course instructor to keep track of the students who have not performed well and it also enables to monitor their progress in the next assessment. This course file is duly monitored by the Head of the Department,Dean - Engineering & Dean - Academic courses and it is maintained in the Department Library.Thereby it serves as a reference for the instructor who handles the courses.
Assessments: The students are evaluated on the basis ofthree Continuous Assessment Tests, Model Examination, Assignments and Semester End Examinations. Based on these criteria’s, the attainment of Course Outcome is derived. The assessment marks are informed to the students after every test and are entered in the log book of the course instructor. It is also regularlyentered in the ERP, which enables the parents to keep track of their wards progress.
Academic Audit The process of Academic Audit intends to monitor and enhance the quality of technical education through proper guidelines for both teaching faculty and students. The department of CSE has a regular practice of conducting academic audit once a year by External Expert to ensure academic accountability.
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CRITERION - 2 Program Curriculum and Teaching – Learning Processes 100
2.1. Program Curriculum (30)
2.1.1. The process for designing the program curriculum (10)
Vels Institute of Science Technology and Advanced Studies (VISTAS) is a Deemed to be University and accredited by NAAC ‘A’ Grade. The B.E. Computer Science and Engineering program curriculum is framedin accordance with AICTE& UGC norms. Department of Computer Science and Engineering follows a perspective modelof discussion forum which preambles the high-level constitution of internal and external stakeholders for the introduction, innovation, and revision of the syllabi. The syllabus is framed with extensive emphasis on Employability Skills, Entrepreneurial Skills and Life Long Learning. The Feedback on the curriculum is collected from various stakeholders. The Faculty Members, Academic peers, Industry Experts, Students and Alumni forms the constitution of Board of Studies (BOS). The feedback from the members of BOS is envisaged in the design of Curriculum. The amendment passed by BOS is sent for approval to Academic Council, a statutory body constituted by the Institute. The Academic Council passes a resolution to modify or accept the amendment passed by BOS and finally it is approved by the Board of Management (BoM). The CSE Curriculum comprises of the components as shown in Figure 2.1
Discipline Specific Core Courses Elective Courses 61% 20% Choice Based Credit System Ability Generic Elective Enhancement Courses Courses 10% 9%
Figure 2.1 Components of CSE Curriculum
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The Figure 2.2 depicts the structure of Curriculum Development
Fig: 2.2. Structure of Curriculum Development
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2.1.2. Structure of the Curriculum (5)
BE - COMPUTER SCIENCE AND ENGINEERING REGULATION 2015 Total Number of Credits : 195
SEMESTER 1
Lectu Tutoria Practic Category Code Course Credits re l al AECC 15GBE201 Technical English 3 0 0 3 Core 15GBE001 Mathematics I 3 1 0 3 Core 15GBE002 Engineering Physics 3 1 0 3 Core 15GBE003 Fundamentals of Computing 3 1 0 3 Core 15GBE004 Engineering Graphics 2 0 3 4 Engineering Practices 0 0 3 2 Core 15GBE005 Laboratory Engineering Physics 0 0 3 2 Core 15GBE006 Laboratory Computer Practices 0 0 3 2 Core 15GBE007 Laboratory Total 14 3 12 22
SEMESTER 2
Tutori Practic Category Code Course Lecture Credits al al AECC 15GBE202 Communication Skills 3 0 0 3 Core 15GBE008 Mathematics II 3 1 0 3 Core 15GBE009 Engineering Chemistry 3 1 0 3 Core 15GBE010 Material Science 3 0 0 3 Electric Circuits and 3 0 0 3 Core 15ECS021 Electronic Devices Object Oriented Core 15ECS022 3 1 0 3 Programming Engineering Chemistry Core 15GBE011 0 0 3 2 Laboratory AECC 15GBE203 Language Laboratory 0 0 3 2 Object Oriented 0 0 3 2 Core 15ECS023 Programming Laboratory Total 18 3 9 24
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SEMESTER 3
Lectu Tutoria Practic Category Code Course Credits re l al Environmental Science and 3 0 0 3 AECC 15GBE204 Engineering Core 15GBE012 Mathematics III 3 1 0 3 Core 15ECS031 Data Structures 3 1 0 3 DSE 15ECS___ Discipline Specific Elective I 3 0 0 3 Discipline Specific Elective 3 0 0 3 DSE 15ECS___ II GE 15ECS___ Generic Elective I 3 0 0 3
SEC 15ECS___ Skill Enhancement Elective I 2 0 0 2 Core 15ECS032 Data Structures Laboratory 0 0 3 2 Microprocessor and 0 0 3 2 Core 15ECS033 Microcontrollers Laboratory Total 20 2 6 24
SEMESTER 4
Lectu Tutoria Practic Category Code Course Credits re l al 15GBE013 Probability and Queuing 3 1 0 3 Core Theory 15ECS041 Database Management 3 1 0 3 Core Systems Core 15ECS042 Operating Systems 3 0 0 3 15ECS___ Discipline Specific Elective 3 0 0 3 DSE III 15ECS___ Discipline Specific Elective 3 0 0 3 DSE IV GE 15ECS___ Generic Elective II 3 0 0 3 15ECS___ Skill Enhancement Elective 2 0 0 2 SEC II 15ECS043 Database 0 0 3 2 Core ManagementLaboratory 15ECS044 Operating Systems 0 0 3 2 Core Laboratory Core 15ECS045 Inplant Training 1 0 0 0 2 Total 20 2 6 26
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SEMESTER 5
Tutoria Practic Category Code Course Lecture Credits l al Core 15GBE017 Discrete Mathematics 3 1 0 3 Core 15ECS051 Computer Networks 3 1 0 3
Core 15ECS052 Software Engineering 3 0 0 3 Discipline Specific 3 0 0 3 DSE 15ECS___ Elective V Discipline Specific 3 0 0 3 DSE 15ECS___ Elective VI GE 15ECS___ Generic Elective III 3 0 0 3
Skill Enhancement 2 0 0 2 SEC 15ECS___ Elective III Computer Networks 0 0 3 2 Core 15ECS053 Laboratory Java Programming 0 0 3 2 Core 15ECS054 Laboratory
Core 15ECS055 Inplant Training II 0 0 0 2
Total 20 2 6 26
SEMESTER 6
Tutori Practic Category Code Course Lecture Credits al al Core 15ECS061 Internet Programming 3 0 0 3 Object Oriented 3 0 0 3 Core 15ECS062 Analysis and Design Principles of Compiler 3 1 0 3 Core 15ECS063 Design Discipline Specific 3 0 0 3 DSE 15ECS___ Elective VII Discipline Specific 3 0 0 3 DSE 15ECS___ Elective VIII GE 15ECS___ Generic Elective IV 3 0 0 3 Skill Enhancement 2 0 0 2 SEC 15ECS___ Elective IV
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Object Oriented 0 0 3 2 Core 15ECS064 Analysis and Design Laboratory Internet Programming 0 0 3 2 Core 15ECS065 Laboratory Core 15ECS066 Inplant Training III 0 0 0 2 Total 20 1 6 26
SEMESTER 7
Tutori Practic Category Code Course Lecture Credits al al Core 15ECS071 Computer Graphics 3 0 0 3 Core 15ECS072 Software Testing 3 0 0 3 Core 15ECS073 .Net Environment 3 0 0 3 Discipline Specific 3 0 0 3 DSE 15ECS___ Elective IX Discipline Specific 3 0 0 3 DSE 15ECS___ Elective X GE 15ECS___ Generic Elective V 3 0 0 3 Skill Enhancement 2 0 0 2 SEC 15ECS___ Elective V Computer Graphics 0 0 3 2 Core 15ECS074 Laboratory Open Source & .NET 0 0 3 2 Core 15ECS075 Laboratory Core 15ECS076 Mini Project & Seminar 0 0 3 2 Total 20 0 9 26
SEMESTER 8
Tutori Practic Category Code Course Lecture Credits al al Discipline Specific 3 0 0 3 DSE 15ECS___ Elective XI Discipline Specific 3 0 0 3 DSE 15ECS___ Elective XII GE 15ECS___ Generic Elective VI 3 0 0 3
Core 15ECS081 Project Work 0 0 21 12
Total 9 0 21 21
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List of Discipline Specific Elective Courses
Code No Course Hours / Week Credits Lecture Tutorial Practical 15ECS101 Digital Principles and System 3 0 0 3 Design 15ECS102 Design and Analysis of 3 0 0 3 Algorithms 15ECS103 Microprocessors and 3 0 0 3 Microcontrollers 15ECS104 Multi-core Programming 3 0 0 3 15ECS105 System Software 3 0 0 3 15ECS106 Computer Organization and 3 0 0 3 Architecture 15ECS107 Artificial Intelligence 3 0 0 3 15ECS108 Programming Paradigms 3 0 0 3 15ECS109 Cryptography and Network 3 0 0 3 Security 15ECS110 Theory of Computation 3 0 0 3 15ECS111 Soft Computing 3 0 0 3 15ECS112 Advanced 3 0 0 3 Operating Systems 15ECS113 UNIX Internals 3 0 0 3 15ECS114 User Interface Design 3 0 0 3 15ECS115 Distributed Systems 3 0 0 3 15ECS116 Grid Computing 3 0 0 3 15ECS117 Cloud Computing 3 0 0 3 15ECS118 Mobile & Pervasive Computing 3 0 0 3 15ECS119 Data Warehousing and Data 3 0 0 3 Mining 15ECS120 Digital Image Processing 3 0 0 3 15ECS121 Advanced Java Programming 3 0 0 3 15ECS122 TCP/IP Design and 3 0 0 3 Implementation 15ECS123 Software Project Management 3 0 0 3 15ECS124 Software Quality Assurance 3 0 0 3 15ECS125 Information Security 3 0 0 3
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List of Generic Elective Courses
Code No Course Hours / Week Credits Lecture Tutorial Practical 15ECS151 Analog and Digital 3 0 0 3 Communication 15ECS152 Control Systems 3 0 0 3 15ECS153 Digital Signal Processing 3 0 0 3 15ECS154 High Speed Networks 3 0 0 3 15ECS155 Robotics 3 0 0 3 15ECS156 Embedded Systems 3 0 0 3 15ECS157 Principles of Management & 3 0 0 3 Professional Ethics 15ECS158 Fundamentals of Nano science 3 0 0 3 15ECS159 Intellectual Property Rights 3 0 0 3 15ECS160 Indian Constitution and Society 3 0 0 3
List of Skill Enhancement Elective Courses Code No Course Hours / Week Credits Lecture Tutorial Practical 15GPD251 Personality Development I 2 0 0 2 15GPD252 Personality Development II 2 0 0 2 15GPD253 Personality Development III 2 0 0 2 15GPD254 Personality Development IV 2 0 0 2 15NSS255 NSS – I 2 0 0 2 15NSS256 NSS – II 2 0 0 2 15NSS257 NSS – III 2 0 0 2 15NSS258 NSS – IV 2 0 0 2 15NSS259 NSS – V 2 0 0 2 15NSS260 NSS – VI 2 0 0 2
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2.1.3. State the components of the curriculum (5)
Curriculum Content Total number of Total number of Course Component (% of total number contact hours Credits of credits of the program )
Basic Sciences 14 57 28 Engineering Sciences 7 22 14 Humanities and Social Sciences 4 18 8 Program Core 32 132 62 Program Electives 20 36 39 Open Electives 9 18 18 Project(s) 2 12 12 Internships/Seminars 2 4 4 Any other (Please specify) Skill Development 5 18 10 Total number of Credits 195
Table B.2.1.3
2.1.4. State the process used to identify extent of compliance of the curriculum for attaining the Program Outcomes and Program Specific Outcomes as mentioned in Annexure I (10)
Program curriculum and syllabus is approved by Board of Studies and the assessment of the curriculum and syllabus is done by internal and external members. Feedback from Students, Parents, Recruiters, Industry, and Alumni are taken for indirect assessment. Course mapping is performed for each assessment with POs and PSOs. From the direct and indirect assessment POs and PSOs are calculated.
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Fig. 2.2. Process for Attaining PO and PSO’s
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2.2. Teaching-Learning Processes (70)
Suggestions from Teaching Learning Academic Calendar Industry Experts Class Notes Tutorial Lesson Plan Subject Allocation Suggestions Assignment from Alumni Time Table Question Bank Lab Manual University Syllabus
Collaborative ContentDelivery Learning Guest Lecture Webinar Internship Industry Project Internal Assessment Industrial Visit
Identifying Weak Identifying Bright Course Attainment Students Students
Remedial Action Motivational Action
End Semester Examination
Achieved
No
Yes
Process Completed
Fig. 2.3 Process for Teaching – Learning Processes
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2.2.1. Describe Processes followed to improve quality of Teaching & Learning (15)
A. Academic Calendar The academic calendar for the university is prepared in the chronological order by a committee chair. This envisages the planned execution of proper completion syllabus, time table for conducting the internal continuous assessment tests, assignments, industrial visits, guest lectures, special lectures, workshops, symposiums, professional society activities and extracurricular activities in the Department.
B. Use of various instructional methods and pedagogical initiatives
Members of faculty in the department prepare Coursehandouts containing teaching materials and question bank comprising previous question papers. The following facilities are used in teaching learning process
Smart Class Room with ICT Facilities Video Conferencing Facility in order to have a live interaction with industrial experts and faculty members from other Universities. Online videos by the subject experts. Lecture Capturing System (LCS) Live Lecture Videos using SwayamPrabha, a satellite channel
C. Methodologies to support weak students and encourage bright students
Bright and Weak students are identified based on their performance in the CAT assessments. To improve the performance of weak students’ special coaching classes were conducted and counseling sessions are carried out. The students are encouraged to present the technical papers in seminars, conferences and publish their papers in journals. They are also encouraged to become university rank holder and also to write competitive exams for pursuing higher studies. To inculcate the self-learning process, students are made to be members in professional societies. Even the weak students can uplift his morale towards learning by participating in the different events conducted by the professional bodies.
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HOD
Course Class Faculty Advisor
Academic Performance Analysis
Weak Students Bright Students
Supporting Activities Motivational Activities
Counseling Simplified Notes Fees Concession Self Learning Interaction with Peer to Peer Merit Industry Projects Parents Learning Certificates Vels Seed grant Value Added Projects Courses
Fig.2.4. Guidelines to identify weak & bright students and supporting activities
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D. Quality of teaching and Conduct of experiments
Conducive learning ambience in the classrooms is maintained through comfort seating arrangements, good ventilation with proper lighting. Smart classrooms are utilized to improve the teaching learning process. All lab manuals are prepared well before the commencement of the semester as prescribed by the University. Each class is divided into two groups and the two groups are sent to two separate laboratories; in further they are divided into small groups, not more than four students based on the type of course. Each laboratory course has a set of Programs to execute. The Student has to design and develop algorithm, program and implement them. The results are then verified by the Course Instructor to ensure the correctness of the program.
. E. Continuous assessment in the laboratory
The students record the output in their observation after implementing the relevant program. The Course Instructor evaluates the students by Observation and Oral Examination for each program. Based on that practical outcome, the weaker students are identified and individual attention is provided. Model Lab Exam: A model lab exam of 3 hours duration is conducted after the completion all programs to assess the ability of a student performance. University Examination: The end semester practical examination is conducted for 3 hour duration.
F. Mini Project Students were given Mini project in various application areas of their interest and thus acquire the necessary confidence to carry out main project in the final year. In this practical course, each group consisting of three/four members is expected to design and develop practical solutions to Industry specific problems and research areas. At the end of the seventh semester, the students will select the topics for the mini project and a review will be conducted by the department for the topic acceptance. The review panel consists of two to three faculty members from different areas of
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interest. After the acceptance of the topic, each batch will be assigned a guide based on their area of interest. The mini project work done by the group is evaluated based on various reviews and daily performance. The evaluation of the Mini project goes through four phases: zeroth, first, second and final review. The evaluation is based upon the following factors: 20% - Demonstration of mini project 50% - Practical test connected with mini project 20% - Viva voce 10% - Project report Process for assessing the quality of Mini Projects - The Mini project evaluation committee will analyze the societal relevance of the project and make sure that the work is environment friendly, ensures safety, follows ethics and is cost effective. The projects are classified into different areas and their relevance to PO’s and PSO’s are identified to ensure its quality. A students’ ability to comprehend, write effective reports and design documentation is assessed by evaluating the report.
G. Student feedback of teaching learning process and action taken
A team of senior faculty members and class teacher conduct the class committee meeting after a month of commencement of every semester, minimum of two class committee meetings are conducted in every semester. In the class committee meeting, the student’s representatives freely express the opinion about the course and subject handling faculty members will not be in the committee. If the students feel any inconvenience of the subjects and the faculty members, the Head of the Department will take the necessary corrective measures. The feedback forms will be filled by the students for each course collected thorough online by Internal Quality Assurance Cell (IQAC) at the end of every semester. The IQAC will consolidate and review the feedback through the senior professors, the faculties those who earned excellent feedback are appreciated and the faculty who hadn’t performed good, are given opportunities to improve themselves.
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2.2.2. Quality of end semester examination, internal semester question papers, assignments and evaluation (15)
A. Process for internal semester question paper setting and evaluation and effective process implementation. Three continuous assessment tests are conducted by Department exam cell as per the schedule prescribed in the academic calendar in every semester and a model examination also conducted after completion of syllabus. Faculty members are instructed to use blooms taxonomy to prepare the question papers in such a way to cover the prescribed syllabus and ensure the relevant course outcomes. The quality of the question paper is ensured by the Head of the Department/ Senior faculty members submitted by the faculty members and any question paper needs upgradation is instructed to revise the question paper.
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Ensure the Syllabus Completion
Preparation Continuous Assessment Test Question paper
Mapping of CO with PO
Verified by Scrutiny Committee
Evaluation of Assessment
Result Analysis
Interact with faculty Communicate to Parents
Counselling the students
Figure B.2.2.2 (a): Process for Internal Semester Question Paper setting and evaluation and effective process implementation
B. Process to ensure questions from outcomes/ learning levels perspective The Scrutiny Committee will assess the quality and relevance of the question papers based on its syllabus coverage. The distribution of mark allocation for the prescribed syllabus and the course outcomes of the Continuous Assessment Test are evaluated by the respective course instructor according to university norms.
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The questions in the question paper are mapped with the course outcomes and it will be evaluated by the Scrutiny Committee, Sample Table is given below,
Academic 2015-16 Semester: V Year Subject Artificial Intelligence Subject Code: Name Assessment Type CAT-I Mapping of questions with COs Question No. CO1 CO2 CO3 CO4 CO5 Part A 1 √ 2 √ 3 √ 4 √ 5 √ 6 √ 7 √ 8 √ 9 √ 10 √ Part B 11 √ 12 √ 13 √ 14 √
Academic 2015-16 Semester: V Year Subject Artificial Intelligence Subject Code: Name Assessment Type CAT-II Mapping of questions with COs Question CO1 CO2 CO3 CO4 CO5 No. Part A 1 √ 2 √ 3 √ 4 √ 5 √ 6 √ 7 √ 8 √ 9 √ 10 √ Part B 11 √ 12 √ 13 √
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14 √
Academic 2015-16 Semester: V Year Subject Artificial Intelligence Subject Code: Name Assessment Type CAT-III Mapping of questions with COs Question No. CO1 CO2 CO3 CO4 CO5 Part A 1 √ 2 √ 3 √ 4 √ 5 √ 6 √ 7 √ 8 √ 9 √ 10 √ Part B 11 √ 12 √ 13 √ 14 √
D. Quality of Assignment and its relevance to COs Assignments are given to the students to achieve the outcomes of the courses to promote the self-learning. The assignments are used to assess the application-oriented knowledge gained by the students in the relevant course. The evaluations of the assignments are based on the basic concepts, coverage of the courses and the way the student present it.
ASSESSMENT PROCESS FOR CO ATTAINMENT
Internal Assesments, Model,Assignment (40% Weightage) CO Assesment
End Semester Examination
(60% Weightage)
Course Outcome is evaluated based on the performance of student’s in internal assessments and in end semester examination of a course. Internal assessments contribute 40% and university assessment contributes 60% to the total attainment of a CO.
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CO Assessment Tools: The various assessment tools used to evaluate COs and the frequency with which the assessment processes are carried out are listed in table1 Table 1 Direct Assessment Tools DIRECT ASSESSMENT TOOLS
Course Type Assessment Tools Minimum Frequency
Internal Test Three per course
Theory Assignments Twice per course
University Exam Once per course
weekly Performance Every lab session
Practical Model Lab Exam Once per course
University Exam Once per course
Weekly Performance & Mini Project Every lab session Evaluation Mini Project University Exam Once per course
Seminar Presentation Once per course
Zeroth Review Once per course Phase I Evaluation by Guide Continuous evaluation
Project First Review Once per course
Phase II Second Review Once per course
Evaluation by Guide Continuous evaluation
Viva Voce End semester Examination Once per program
Quality/Relevance of Assessment Process: Internal Tests: Internal tests serve to encourage students to keep up with course content covered in class. The questions in internal tests are framed in such a way that it should satisfy Bloom’s Taxonomy, wherein each question is mapped to the appropriate course outcome of the respective course, which is evaluated based on the set attainment levels by the department. To ensure the quality of internal tests, the question paper is verified by the scrutiny committee. Assignments: Assignments are qualitative performance assessment tools designed to assess students’ knowledge of engineering practices, framework and problem solving. Students are assigned course-related work to be completed outside of contact hours, and their submissions
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are graded on the basis of work quality and originality. A minimum of 2 assignments are given per course and each assignment is evaluated for 10 marks. End semester Examination: These end-semester examinations are of 3-hour duration and cover the entire syllabus of the course. It would generally satisfy all course outcomes for a particular course. The CO’s are valuated based on the set attainment levels. The end semester examination question paper is set by the external academic subject experts. Evaluations: After each Continuous Assessment Test, each course handling faculty member evaluates the answer scripts after completion of the examination. They prepare reports to analyze the learning level of the students to attain the COs and POs.
2.2.3. Quality of student projects (20)
A. Identification of Projects and allocation methodology to faculty members The project work has two phases, in first phase the students are encouraged to identify the project based on their interest The students also encouraged to choose industrial problems based on the previous inplant training of the concerned industries. The guides are allocated based on their specialization or interest by the project coordinator and Head of the Department. During the first phase (Identification of Project), students collect the literature (previous work related to the area), consolidate the work plan and budget by continuous evaluation thorough the reviews. Similarly, the industrial projects are also planned and scheduled. In the second phase, students complete their project work and submit the project report as per the first phase plan, it could be evaluated by the reviews in proper intervals, at least three reviews must be attended by the student. The good quality projects works are encouraged to present in the conferences and to publish in peer reviewed journals.
B. Types and relevance of the projects and their contribution towards attainment of POs Based upon the functional area of the projects, they are categorized as follows: Application oriented Product and process development Solution to the industrial specific problems Design and Development of software Verification and validation of software
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After categorizing the projects, they will be mapped with POs and PSOs and the attainments are assessed based on the following:
Depth in fundamentals Clarity in problem analysis Methodology adopted Modern tool usage Impact on societal needs as useful products/processes Future scope of the work Novelty of work Team work Presentation and documentation Cost effectiveness and project management Employability
C. Process for monitoring and evaluation To monitor the progress and evaluate the project, several reviews are conducted as given below:
Based on the presentation and the discussion made Zeroth during the review, the title of the project is tentatively review fixed. Subsequently the guides of the projects were allocated. Problem Identification based on the literature, similarly First the industrial problems also identified based on the review problems faced by industries. Methodologies were identified to solve the problem and Second the responsibility of each individual team member to review accomplish the project is fixed. The detailed plan and methodology of the project is Phase finalized. The budget and duration of the project is I final presented and to be finalized.
Internal assessment mark of the project is awarded based on the evaluated scores obtained from reviews. End semester Examination mark is based on the evaluation in the final review (Viva-voce) by both internal and external examiners.
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D. Process to assess individual and team performance
The performance of the individual team member of the project is assessed at the time of presentation in reviews by considering the following criterions:
Communication Confidence in the project work Attainment of individual scope of work Overall contribution for the project accomplishment
The performance of the project team is assessed by considering the following criterions:
Knowledge of the other member contribution towards the project Coordination in consolidating work Time management
E. Quality of completed projects/ working prototypes The quality of the project evaluated based on the conversion possibility of the ideas synthesized in the course of project based on the real outcome.
F. Evidences of papers published/ awards received by projects The students are encouraged to publish their innovative works in the national and international conferences, Journals etc.
2.2.4. Initiatives related to industry interaction The Department of Computer Science and Engineering has taken various Initiatives to strengthen the Industry – Institute Interaction.This enhances the students initiatives in curriculum beyond syllabus. The following measures adopted to enhance the industry interaction: Internship in Software Industry
. Workshop for Students by Industrial Experts
. Guest Lecture and Seminars by Industrial Experts
. Hands on Training in latest Technology
. Value Added Courses . Industry Supported Laboratories . Industry Involvement in the Program Design and Curriculum Development
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Date Initiative Resource Person Implementation Impact Analysis Details Academic Year: 2018 – 2019
30-Jan-19 Workshop on Mr.Guruprakash Analysed the Students were able to Program Founder & CEO, Programming paricipate in Technical Coding Xobin Technologies Concepts. Script writing Pvt Ltd
16-Nov-18 MoU With Mirrar Innovation Student Internship Students were able to do Mirrar Technologies Pvt. Programme. mini project based on Innovation Ltd the internship Technologies Pvt. Ltd 9-Oct-18 Open source Mr.Ranjith, Students Students were able to awareness Director, implemented the work on Opensource camp Vectra Technologies programs in open platform Pvt.Ltd source Technology
9-Oct-18 Guest Lecture Mr.HajaMohideen , Acquired Exposure on on Cyber President and CEO , Knowledge on CyberSecurity helped Security in IoT Rocheston LLC , Cyber Security students to do Final New York Year Projects
28-Sep-18 MoU with Rocheston Press Facilitated to Students developed IOT Rocheston Private Limited develop IOT for operations in their final Press Private smart home year project Limited operations 12-Sep-18 Seminar on Ms.Shanmugapriya Students worked on Students did a Project Node.JS Executive, samples of Node.js for College Website Wisen IT Solutions, Programs Chennai
29-Aug-18 Workshop on Raajesh Understands the Helps students for Linux Subramanian, role of System placement in System Administration Senior Delivery admin Administrator Jobs Manager, Virtuza Polaris Ltd. 10-Aug-18 MoU with Mr.MaheshKumar Consultancy Students were given CalibsoftTecno CalibSoft Services Oppurtunity to Test the logies Technologies Internship Software. Programme 24-Jul-18 Workshop on Mr.S.Sharma, Exposure on Helps students for Fundamentals Artificial DataManagement placement in Storage of Storage Intelligence and Techniques Management Jobs Management Storage Director, Agentz.ai 18-Jul-18 Workshop on Mr.Pradeep, Demonstration of Student underwent MobileApp LetZConnect, Intranet and Internship in Chennai Internet App for LetZConnect connecting Students & Faculty members
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Date Initiative Resource Person Implementation Impact Analysis Details
Academic Year: 2017 – 2018 27-Jun-18 MoU with Mr.PradeepVijayaku Student Developed Motivated several GBoom mar the User Interface students to do Mobile Software Pvt. CEO, GBoom for the Mobile app app Ltd Software 5-Apr- 2018 Plenary Dr.K.Balaraman, The Conference Students acquired 6-Apr- 2018 Session by Director General, paved way to knwledge from Industry Industry NIWE understand the Experts which was Experts Dr.M.Balasubraman latest Trends & utilised in Developing yamDirector Technology Projects Research, Madras Diabetes Research Foundation 20-Mar-18 MoU with Red Red Hat India Pvt. Certification course Students completed Hat India Pvt. Ltd Provided for project on Unix Ltd Students
20-Mar-18 Seminar on Mr.KarpooraSundar Students learned to Helped students to Selenium Selenium & use the Selenium execute Testcases and Testing Tool Advanced Java Tool for Testing Testing Trainer 26-Feb-18 Hands on Ms.Mary Theresa Students Students gained training Rani participated in the knowledge on Python “PYTHON" Territory Delivery Hands-on Workshop related to their Head NIIT Limited which was Industry Curriculum Oriented and Practical Scenarios 21-Feb-2018 Seminar on Ms.Ananthee Stundents Students were exposed Digital Group Leader underwent a on Current Digital transformation NIIT Limited Brainstorming Transformations session on Digital Initiatives 1-Feb-18 Seminar on Mr.RajGregriyaIndia Students were Students gained Cloud Bizforsale,Chennai explained knowledge on Cloud Computing theDeployment of Computing related to Cloud technology their Curriculum for the software owned by IndiaBiZForSale Dec '17 - Feb Intrernship Hasura Underwent a project Implemented in Final '18 with Industry Technologies Pvt. with SDLC Year Project Ltd. 21-Dec-2017 Intrernship SANSBOUND Students benefited Helped in creating Final 23-Dec-2017 with Industry Solution Pvt. Ltd. by Undersatnding year Projects in Network Chennai the Network Domain Technologies 21-Sep-2017 Workshop on Mr.SureshVidyanath Students Students were able to do 22-Sep-2017 Python an, CEO, Grafware implemented a compartive study with Programming International, different different programming Chennai Casestudies Languages
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26-Jul-17 Seminar on Mr.Yuvaraj, Discussion on the Created Innovative ideas Recent Trends Senior Trainer latest trend in Cloud to write Papers on Cloud in Cloud Power IT Services Technology Technollgy Computing
19-Jul-17 Mou with Bioneemtec India Research Provided datasets and Bioneemtec Private Ltd. Collaboration Concepts for research India Private Ltd. Date Initiative Resource Person Implementation Impact Analysis Details Academic Year: 2016 – 2017 22-Mar-17 EinNel EinNel Technologies Research Projects, Students were involved Technologies Student Internship for data collection Programme. process in AI Research lab for driver hypo vigilance project 9-Mar-2017 Plenary Dr.P.Sivakumar, Acquired the Acquired the concept of 10-Mar-2017 Session by Director,CVRDE, concept of Funded Applied for Funded Industry Avadi, Projects provided projects in CVRDE Experts by Government Dr.S.Venugopal, Bodies IGCAR, Mr.SantoshGopynad han, Director Product Management, The Advisory Board Company, Mr.Krishnan, Scientist, IGCAR, Kalpakkam.
1-Mar-17 Workshop on Ms.PonmalarKathire Students build their Students were able to do Android App san, own app a mini project in their Development EyeOpen Curriculum Technologies 15-Feb-17 Demonstration T.Prashanth, NTU Initialization of Participated in on ROBOTICS and Mr.Mahesh Robotic Club Innovative Contest on Kumar, Calibsoft Mobile Robots 31-Jan-17 Guest Lecture R.Sophia Rani, Contemplate on Students were able to on Current Senior Technical Current Participate in Technologies Specialist, Revature, Technologies Competitions with Chennai Innovative Ideas
28-Nov-16 National National Institue of Implemented Students were able to Institue of Wind Students Final Year acquire Domain Wind Energy(NIWE) Project Knowledge which is Energy(NIWE) very much needed in the Industry 5-Oct-16 Guest Lecture Dr.G.Giridhar Acquired the Acquired the concept of on Impact of Deputy Director concept of Funded Funded Projects Renewable General, NIWE Projects provided provided by energy in by Government Government Bodies Social sector Bodies and Smart City Development
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26-Sep-16 Seminar on Mr.G.Sathyamoorthy Understand the This aided the students Expectations of , Background of IT for attending palcement IT industry HR Manager, Industry Interview HCL Technologies
30-Jul-16 Workshop on Ms.GayathriMagie, Students obtained Facilitated the students Internet of Business the Basic Concepts to relate the Concepts Things Development of Internet of Things and Scenarios to NPTEL Executive, IBM Online Course
Date Initiative Resource Person Implementation Impact Analysis Details Academic Year: 2015 – 2016 1-Mar-16 Workshop on Mr.Ramachandran Students Installed Built Final Year Projects BigData 361o minds Hadoop and worked Able to relate to their Analytics on HIVE Curriculum
8-Feb-16 Seminar on Mr.Dhandayuthapan Students developed Students were able to do Android – i, mobile app comparative study on Mobile Iframes different mobilt Application Technologies Technology Development 3-Sep-15 Seminar on Zion Infotech Understand the Applied in final year Digital Chennai concept of Digital student project Marketing and Marketing and Search Engine Search Engine optimization Optimisation Technique 20-Jul-15 Guest Lecture Mr.ManojKombissan Students Installed Built Final Year Projects on Bigdata , Hadoop and worked Able to relate to their Hadoop Co founder & COO, on HIVE Curriculum TalhuntNextgen Education Pvt Ltd, Chennai
2.2.5. Initiatives related to industry internship/summer training (10)
CSE students go on industrial visits to IBM and other places on a regular manner as a part of their curriculum. Students are encouraged to take internship for which the University renders support so as to appraise their knowledge. All the students who go for such internships exhibit enhanced skills, to do related project and invariably find employment in similar industries.
Initiatives The inplant training coordinator encourages to undergo in-plant training or internship, during their pre-final year vacation period. This enables the students
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To gain hands-on experience in implementing whatever they have learnt in their curriculum. To train themselves on the state of the art equipment’s and standards used by the industries. To present themselves as complete professionals, when they go for placements.
Arranging for In-plant training / Internship
Students will choose a domain that they come across in their academia and find the industries available on that particular domain in the industries under MoU and in the internshala web link. Students will then approach the department for getting approval. The institute will issue the necessary documents like a Bonafide certificate and request letter to the concerned industry. After the consent of the industry, the students will attend the training program in the respective industries.
Impact Analysis of Industrial Training
Industry exposure in terms of latest trends in the software industry and their culture. International training/internship paves way for opportunities of higher education in abroad.
Student Internship:
(2018-2019)
Duration Of Sl.No. Name of the Student Class Institution/Industry Training 1 Akshaya.B IV SANSBOUND Solution Pvt. Ltd. 21.08.2018 – 26.08.2018 2 Sowmiya.B IV SANSBOUND Solution Pvt. Ltd. 21.08.2018 – 26.08.2018 3 Lavanya.V IV SANSBOUND Solution Pvt. Ltd. 21.08.2018 – 26.08.2018 4 Maheshwaran.P IV SANSBOUND Solution Pvt. Ltd. 21.08.2018 – 26.08.2018 5 Faizkhan IV SANSBOUND Solution Pvt. Ltd. 21.08.2018 – 26.08.2018 6 Hemanathan IV SANSBOUND Solution Pvt. Ltd. 21.08.2018 – 26.08.2018 7 Palani.A IV SANSBOUND Solution Pvt. Ltd. 21.08.2018 – 26.08.2018
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(2017-2018)
Duration Of Sl.No. Name of the Student Class Institution/Industry Training 1 Vignesh MT IV SANSBOUND Solution Pvt. Ltd. 21.12.2017 - 23.12.2017 2 Karthick K IV SANSBOUND Solution Pvt. Ltd. 21.12.2017 - 23.12.2017 3 Sivaguru P IV SANSBOUND Solution Pvt. Ltd. 21.12.2017 - 23.12.2017 4 Sathish Kumar V IV SANSBOUND Solution Pvt. Ltd. 21.12.2017 - 23.12.2017 5 Magesh Kumar S IV SANSBOUND Solution Pvt. Ltd. 21.12.2017 - 23.12.2017 6 Vignesh Raj G IV SANSBOUND Solution Pvt. Ltd. 21.12.2017 - 23.12.2017 7 Sijo S IV SANSBOUND Solution Pvt. Ltd. 21.12.2017 - 23.12.2017 8 ShahulHameedBadursha IV SANSBOUND Solution Pvt. Ltd. 21.12.2017 - 23.12.2017 9 Santhosh Kumar K IV SANSBOUND Solution Pvt. Ltd. 21.12.2017 - 23.12.2017 10 Boopalan S IV SANSBOUND Solution Pvt. Ltd. 21.12.2017 - 23.12.2017 11 Ashutosh Kumar Panda II Hasura Technologies Pvt. Ltd. Dec '17 - Feb '18
12 MonciArulraj IV NLC India Limited 16.07.2018 & 21.07.2018 13 Lavanya V IV NLC India Limited 16.07.2018 & 21.07.2018 14 Faiz Khan IV SANSBOUND Solution Pvt. Ltd. 21.08.2018 - 26.08.2018 15 Hemanathan K IV SANSBOUND Solution Pvt. Ltd. 21.08.2018 - 26.08.2018 16 Lavanya V IV SANSBOUND Solution Pvt. Ltd. 21.08.2018 - 26.08.2018 17 Maheshwaran P IV SANSBOUND Solution Pvt. Ltd. 21.08.2018 - 26.08.2018
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18 Sowmiya B IV SANSBOUND Solution Pvt. Ltd. 21.08.2018 - 26.08.2018 19 Akshaya B IV SANSBOUND Solution Pvt. Ltd. 21.08.2018 - 26.08.2018 20 Palani A IV SANSBOUND Solution Pvt. Ltd. 21.08.2018 - 26.08.2018 21 A. Abdul Basith IV UNIQ TECHNOLOGIES 12.12.2017 - 16.12.2017 22 AbhishekKaushik IV INDUSTRIAL SOLUTIONS 26.07.2017 - 30.07.2017 23 M.Arun Raj IV AARKMANY MEDIA PVT.LTD. 18.12.2017 - 30.12.2017 24 G.Ayishwarya Lakshmi IV UNIQ TECHNOLOGIES 11.12.2017 - 15.12.2017 25 V.Buvanesh IV INFOGRO TECHNOLOGIES 11.12.2017 - 22.12.2017 26 R.Jayapriya IV INFOGRO TECHNOLOGIES 11.12.2017 - 22.12.2017 27 P.KiranBalaji IV AARKMANY MEDIA PVT.LTD. 18.12.2017 - 30.12.2017 28 K.Kavinilavu IV INFOGRO TECHNOLOGIES 11.12.2017 - 22.12.2017 29 S.Mathiollee IV UNIQ TECHNOLOGIES 11.12.2017 - 13.12.2017 30 S.Meenakshi IV UNIQ TECHNOLOGIES 11.12.2017 - 13.12.2017 31 R.Shanmugasundari IV AARKMANY MEDIA PVT.LTD. 18.12.2017 - 30.12.2017 32 J.Sharanya IV SMART MEGH 13.12.2017 - 21.12.2017 33 ShayeliBiswas IV NATIONAL INFORMATICS 11.12.2017 - CENTRE 29.12.2017
34 R.Soundarya IV UNIQ TECHNOLOGIES 11.12.2017 - 13.12.2017 35 T.Elanchezhiyan IV INFOGRO TECHNOLOGIES 11.12.2017 - 22.12.2017 36 V.Abinesh IV INFOGRO TECHNOLOGIES 11.12.2017 - 22.12.2017
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37 S.Hariharan IV AARKMANY MEDIA PVT.LTD. 18.12.2017 - 30.12.2017 38 P.Karthikeyan IV AARKMANY MEDIA PVT.LTD. 18.12.2017 - 30.12.2017 39 K.Kirthika IV UNIQ TECHNOLOGIES 11.12.2017 - 15.12.2017 40 K.S.Archana IV INFOGRO TECHNOLOGIES 11.12.2017 - 22.12.2017 41 Maria Sarah Stella Thomos IV UNIQ TECHNOLOGIES 11.12.2017 - 15.12.2017
42 Vignesh Mt IV SANSBOUND SOLUTION PVT. 21.12.2017 - LTD. 23.12.2017
43 Karthick K IV SANSBOUND SOLUTION PVT. 21.12.2017 - LTD. 23.12.2017
44 Sivaguru P IV SANSBOUND SOLUTION PVT. 21.12.2017 - LTD. 23.12.2017
45 Sathish Kumar V IV SANSBOUND SOLUTION PVT. 21.12.2017 - LTD. 23.12.2017
46 Magesh Kumar S IV SANSBOUND SOLUTION PVT. 21.12.2017 - LTD. 23.12.2017
47 Vignesh Raj G IV SANSBOUND SOLUTION PVT. 21.12.2017 - LTD. 23.12.2017
48 Sijo S IV SANSBOUND SOLUTION PVT. 21.12.2017 - LTD. 23.12.2017
49 ShahulHameedBadursha IV SANSBOUND SOLUTION PVT. 21.12.2017 - LTD. 23.12.2017
50 Santhosh Kumar K IV SANSBOUND SOLUTION PVT. 21.12.2017 - LTD. 23.12.2017
51 Boopalan S IV SANSBOUND SOLUTION PVT. 21.12.2017 - LTD. 23.12.2017
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52 AlapthiDeeraj Gupta IV HARESYN INFOTECH 27.5.2017 - 27.6.2017 53 Kowsalya IV CHAIN.SYS 23.5.2017 - 9.6.202017 54 N.MohamedSuhali IV HEWLETT PACKARD 10.6.2017 - ENTERPRISE 28.6.2017
55 S. Magesh Kumar IV HEWLETT PACKARD 10.6.2017 - ENTERPRISE 28.6.2017
56 B. Nirmal Kumar IV BSNL 19.6.2017 - 23.6.2017 57 N.Harishprasanna IV BSNL 19.6.2017 - 23.6.2017 58 V.Vivek IV BSNL 19.6.2017 - 23.6.2017 59 E. Mohammed Irfan IV KAASHIV INFOTECH 14.6.2017 - 18.6.2017 60 K.Haresh IV KAASHIV INFOTECH 14.6.2017 - 18.6.2017 61 A. YasarAnees IV KAASHIV INFOTECH 14.6.2017 - 18.6.2017 62 A.Santosh Kumar IV KAASHIV INFOTECH 14.6.2017 - 18.6.2017 63 M.Sathish Kumar IV KAASHIV INFOTECH 14.6.2017 - 18.6.2017 64 U.Jayshiree IV HEXAWARE TECHNOLOGIES 22.5.2017 - 23.6.2017 65 V.Vigneshwar IV HEXAWARE TECHNOLOGIES 22.5.2017 - 23.6.18 66 DanduPrithviRaju IV HEXAWARE TECHNOLOGIES 22.5.2017 - 23.6.18 67 S.Sowmya IV HEXAWARE TECHNOLOGIES 22.5.2017 - 23.6.18 68 G.Antony Raj IV NEYES TECHNOLOGIES 27.6.2017 - 1.7.2017 69 Billa Ram Manohar Naidu IV CODE BIND TECHNOLGIES 28.5.2017 - 1.6.2017
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70 K.Dhivya IV KAASHIV INFOTECH 19.6.2017 - 23.6.2017 71 T.Gokula Krishnan IV CODE BIND TECHNOLGIES 30.5.2017 - 3.6.2017 72 S.Gowtham IV AUJAS NETWORK PVT LTD 22.5.2017 - 24.5.2017 73 M.Jayasurya IV CODE BIND TECHNOLGIES 23.5.2017 - 27.5.2017 74 Manoj Kumar Satheesh IV KAASHIV INFOTECH 19.5.2017 - 23.5.2017 75 L.MohanaAiswarya IV CODE BIND TECHNOLOGIES 2017.5.2017 - 21.5.2017 76 R. Nandhini IV CODE BIND TECHNOLOGIES 2017.5.2017 - 21.5.2017 77 K.Periyasamy IV CODE BIND TECHNOLOGIES 30.5.2017 - 3.6.2017 78 J.Poornima IV UNIQ TECHNOLOGIES 15.5.2017 - 19.5.2017 79 Rajiv Praseeth IV CODE BIND TECHNOLOGIES 30.5.2017 - 3.6.2017 80 T.Ramesh IV CODE BIND TECHNOLOGIES 30.5.2017 - 3.6.2017 81 S.Santhosh Kumar IV CODE BIND TECHNOLOGIES 30.5.2017 - 3.6.2017 82 G.Saraswathi IV INFOGRO TECHNOLOGIES 29.5.2017 - 31.5.2017 83 J.Yamunadevi IV INFOGRO TECHNOLOGIES 29.5.2017 - 31.5.2017 84 SyedaSamreenFathima IV UNIQ TECHNOLOGIES 15.5.2017 - 19.5.2017
(2016-2017)
Sl.No. Name of the Student Class Institution/Industry Duration of Training
1 Rajendrani Bose IV UNIVERSITY OF TEXAS 01.06.2016 To 30.06.2016 AT DALLAS 2 AashishMinj IV UNIVERSITY OF TEXAS 01.06.2016 To 30.06.2016 AT DALLAS
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(2015-2016)
Sl.No. Name of the Student Class Institution/Industry Duration of Training
1 Mohamed Aasif III BSNL,Maraimalai 06.07.2015 To 10.07.2015 Nagar, Chennai-209 2 M.Adhithiyan III BSNL,Maraimalai 06.07.2015 To 10.07.2015 Nagar, Chennai 3 S.V.Dineshsamy III BSNL,Maraimalai 06.07.2015 To 10.07.2015 Nagar, Chennai 4 R.Rohith III BSNL,Maraimalai 06.07.2015 To 10.07.2015 Nagar, Chennai 5 Abhinand V Krishnan II BSNL,Maraimalai 04.03.2016 Nagar, Chennai 6 AkshayaSubhasri R S II BSNL,Maraimalai 04.03.2016 Nagar, Chennai 7 Anupriya T II BSNL,Maraimalai 04.03.2016 Nagar, Chennai 8 Bhavadharani K II BSNL,Maraimalai 04.03.2016 Nagar, Chennai 9 Bhavani M II BSNL,Maraimalai 04.03.2016 Nagar, Chennai 10 Boopalan.S II BSNL,Maraimalai 04.03.2016 Nagar, Chennai 11 Devansh Sharma II BSNL,Maraimalai 04.03.2016 Nagar, Chennai 12 GorrapatiNarendra Prasad II BSNL,Maraimalai 04.03.2016 Nagar, Chennai 13 Guduri Raja II BSNL,Maraimalai 04.03.2016 VenkataNareshBabu Nagar, Chennai 14 HanifarSangeetha II BSNL,Maraimalai 04.03.2016 Nagar, Chennai 15 Hemapriya T II BSNL,Maraimalai 04.03.2016 Nagar, Chennai 16 Iswarya N II BSNL,Maraimalai 04.03.2016 Nagar, Chennai 17 IyengarVenkatKannan II BSNL,Maraimalai 04.03.2016 Nagar, Chennai 18 KamireddyPavani II BSNL,Maraimalai 04.03.2016 Nagar, Chennai 19 Kiruthika S II BSNL,Maraimalai 04.03.2016 Nagar, Chennai 20 Kousalya K II BSNL,Maraimalai 04.03.2016 Nagar, Chennai 21 Malarvizhi J II BSNL,Maraimalai 04.03.2016 Nagar, Chennai 22 Mohana Krishnan S II BSNL,Maraimalai 04.03.2016 Nagar, Chennai 23 Mohanapriya R II BSNL,Maraimalai 04.03.2016 Nagar, Chennai 24 Poongodi T II BSNL,Maraimalai 04.03.2016 Nagar, Chennai 25 Ranganayaki M II BSNL,Maraimalai 04.03.2016 Nagar, Chennai 26 Ranjith P II BSNL,Maraimalai 04.03.2016 Nagar, Chennai DEPT. OF COMPUTER VELS INSTITUTE OF SCIENCE, TECHNOLOGY 48 SCIENCE & ENGINEERING AND ADVANCED STUDIES (VISTAS)
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27 SanisettyVenkatasaiMouli II BSNL,Maraimalai 04.03.2016 Nagar, Chennai 28 Saurav Kumar Singh II BSNL,Maraimalai 04.03.2016 Nagar, Chennai 29 SauravRawat II BSNL,Maraimalai 04.03.2016 Nagar, Chennai 30 ShanazBanu A II BSNL,Maraimalai 04.03.2016 Nagar, Chennai 31 Thulasi Devi M II BSNL,Maraimalai 04.03.2016 Nagar, Chennai 32 Rohith Reddy II BSNL,Maraimalai 04.03.2016 Nagar, Chennai 33 ChetiveeraPavan Chand II BSNL,Maraimalai 04.03.2016 Nagar, Chennai 34 VureVenkataSai Kumar II BSNL,Maraimalai 04.03.2016 Nagar, Chennai 35 Gokulnath III BSNL,Maraimalai 01.03.2016 To 05.03.2016 Nagar, Chennai 36 Vimalnath III BSNL,Maraimalai 01.03.2016 To 05.03.2016 Nagar, Chennai 37 Rakesh Reddy III BSNL,Maraimalai 01.03.2016 To 05.03.2016 Nagar, Chennai 38 Isaac Prabakhar III BSNL,Maraimalai 01.03.2016 To 05.03.2016 Nagar, Chennai 39 D.Ajeeth Kumar III BSNL,Maraimalai 01.03.2016 To 05.03.2016 Nagar, Chennai 40 M.Ajeeth Kumar III BSNL,Maraimalai 01.03.2016 To 05.03.2016 Nagar, Chennai 41 Amrith III BSNL,Maraimalai 01.03.2016 To 05.03.2016 Nagar, Chennai 42 Chandra Kumar III BSNL,Maraimalai 01.03.2016 To 05.03.2016 Nagar, Chennai 43 ReeganPaulraj III BSNL,Maraimalai 01.03.2016 To 05.03.2016 Nagar, Chennai 44 AnandSuhas III BSNL,Maraimalai 01.03.2016 To 05.03.2016 Nagar, Chennai 45 VidhyaSagar III BSNL,Maraimalai 01.03.2016 To 05.03.2016 Nagar, Chennai
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CRITERION - 3 Course Outcomes and Program Outcomes 175
3.1 Establish the correlation between the courses and the Program Outcomes (POs) & Program Specific Outcomes(25)
(A) PROGRAM OUTCOMES (POs) 1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems. 2. Problem analyses: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences. 3. 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. 4. 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. 5. 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. 6. 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. 7. 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. 8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice. 9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings. 10. 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, DEPT. OF COMPUTER VELS INSTITUTE OF SCIENCE, TECHNOLOGY 50 SCIENCE & ENGINEERING AND ADVANCED STUDIES (VISTAS)
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and give and receive clear instructions. 11. 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. 12. 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.
B. Program Specific Outcomes (PSOs) 1. The Computer Science and Engineering graduates are able to analyze, design, develop, test and apply management principles, mathematical foundations in the development of computational solutions, make them expert in designing the computer software and hardware.
2. Develop their skills to solve problems in the broad area of programming concepts and appraise environmental and social issues with ethics and manage different projects in inter-disciplinary field.
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3.1. Establish the correlation between the courses and the Program Outcomes (POs) & Program Specific Outcomes (25)
REGULATION 2015
CO.No SEM Subject Name C104 I Fundamentals of Computing C206 II Object Oriented Programming C303 III Data structures C402 IV Database management Systems C503 V Software Engineering C602 VI Object Oriented Analysis and Design C703 VII .Net Framework C801 VIII Software project mangement
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Fundamentals of Computing CO NO Statement PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 P10 PO11 PO12 PSO 1 PSO 2 C104.1 Summarize the concept of generation of 3 2 1 1 2 ------2 1 Computers and their Architecture
C104.2 Explain the limitations of algorithm, 1 2 3 3 3 ------2 2 2 flowchart, pseudocode and the features of application software packages
C104.3 Develop C programs using various control - 1 2 2 2 ------2 2 instructions and operator precedence. C104.4 Apply C programming Constructs to handle 3 2 1 1 2 ------2 3 string manipulations, array and functions for various applications.
C104.5 Analyze the difference in memory allocation 2 3 2 2 2 ------1 1 1 while using structure and union in C programming. C104 2.3 2 1.8 1.8 2.2 ------1.8 1.8
Object Oriented Programming CO NO Statement PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 P10 PO11 PO12 PSO 1 PSO 2 C206.1 Summarize the basic concepts of object - - 2 ------3 3 oriented programming C206.2 Exprement with constructors & destructors, - - 2 2 2 ------3 3 using operator overloading,
C206.3 Solve C++ programs using functions & - 2 1 1 1 ------2 1 exception handling
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C206.4 Classify dynamic memory allocation, - - 3 3 ------2 2 inheritance and polymorphism C206.5 Solve programs using file operations, string - 1 2 - 2 ------3 3 characteristics, elaborate and classes
C206 - 1.5 2 2 1.6 ------2.6 2.4
Data structures CO NO Statement PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 P10 PO11 PO12 PSO 1 PSO 2 C303.1 Interpret the knowledge of basic data 1 2 3 3 3 ------2 2 structures for creation, insertion, deletion and Searching of ordered or unordered data.
C303.2 Construct a Binary search tree and perform 3 2 1 1 1 ------2 1 various tree traversals. C303.3 Examine the functions of AVL Trees. 2 3 2 2 2 ------1 1
C303.4 Evaluate the operations like searching, - 1 2 2 2 ------3 3 insertion, deletion, traversing mechanism of various Hash function.
C303.5 Formulate graph traversals using Prim’s and - 1 2 2 2 ------3 3 Kruskal's algorithm.
C303 2 1.8 2 2 2 ------2.2 2
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Database management Systems CO NO Statement PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 P10 PO11 PO12 PSO 1 PSO 2 C402.1 Identify the purpose and need of database 3 2 1 1 1 1 ------1 1 management system and compare it with conventional systems
C402.2 Explain various SQL queries such as DDL & 1 2 3 3 2 3 - - 2 2 2 2 2 2 DML statements, Joins, Aggregate functions, Views and sub queries
C402.3 Compare and distinguish all the five normal 2 3 2 2 2 2 - 2 1 1 1 1 1 1 forms in Database management system C402.4 Explain the concept of transaction 1 2 3 3 2 3 - 3 2 2 2 2 2 2 management and database security C402.5 Discuss various data storage and querying - 1 2 2 1 2 - 2 3 3 3 3 3 3 techniques like RAID, B tree and B+ tree , query processing , static and dynamic hashing C402 1.8 2 2.2 2.2 1.6 2.2 - 2.3 2 2 2 2 1.8 1.8
Software Engineering CO NO Statement PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 P10 PO11 PO12 PSO 1 PSO 2 C503.1 Develop current theories, models and - 1 2 2 1 2 - 2 3 3 3 3 3 3 techniques that provides the basics for Software Process Models C503.2 Examine the Software Engineering life cycle 1 2 3 3 2 3 1 3 2 2 2 2 1 1 by demonstrating competence in communication, planning, analysis, design and deployment
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C503.3 Propose Analysis Model and Validate the - 1 2 2 1 2 - 2 3 3 3 3 3 3 Requirements C503.4 Analyze Design Engineering and it’s process 2 3 2 2 2 2 2 2 1 1 1 1 1 1 C503.5 Build, Debug and Test the requirements in 3 2 1 1 1 1 3 1 - - - - 3 3 the Software Process C503 2 1.8 2 2 1.4 2 2 2 2.3 2.3 2.25 2.25 2.2 2.2
Object Oriented Analysis and Design CO NO Statement PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 P10 PO11 PO12 PSO 1 PSO 2 C602.1 Design the Software Development Process - 1 - 2 2 - - - - - 3 - 3 3
C602.2 Analyze the object oriented design - 2 2 - - - 1 - - - - 2 2 2 methodologies C602.3 Make use of Attributes and Methods in use - - 1 - 2 1 ------case driven approach C602.4 Design axioms in object oriented system - 1 2 2 2 2 - - - - - 3 3 3 development C602.5 Apply test Cases, test Plan and Myer’s - 1 - 1 - 1 3 ------Debugging Principles
C602 - 1.5 1.7 1.7 2 1.3 1.3 - - - 3 2.5 1.6 1.6
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.Net Framework C.No Statement PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 P10 PO11 PO12 PSO 1 PSO 2 C703.1 Examine the .Net framework Architecture and 3 ------2 2 basic concepts of C# C703.2 Construct object oriented features such as - - 2 2 1 - - - 3 - - 3 3 3 classes, inheritance, interfaces and polymorphism C703.3 Develop Windows based applications using the - - 2 2 1 - - - 3 - - 3 3 3 .NET Framework, C#, and ADO.NET C703.4 Design and Develop Web based applications - - 2 2 1 - - - 3 - - 3 3 3 using the ASP.NET controls and IIS Server C703.5 Analyse the concept of assemblies and reflection - - 2 2 1 - - - 3 - - 3 1 1 C703 3 - 2 2 1 - - - 3 - - 3 2 2
Software Project Management CO NO Statement PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 P10 PO11 PO12 PSO 1 PSO 2 C801.1 Demonstrate the various project management 1 - - 3 - - - - 2 2 2 2 2 2 principles C801.2 Assess the project evaluation techniques based 1 2 3 3 - - - - 2 2 2 2 2 2 on cost and risk C801.3 Elaborate the Sequencing and Scheduling - 2 2 2 - - - - 3 3 3 3 3 3 Activities & Hazards C801.4 Examine the Stages In Contract Placement - - 2 2 2 - - - 1 1 1 1 1 1 C801.5 Choose the appropriate development 1 2 3 3 3 3 - 3 2 2 2 2 2 2 methodology and to assess risks in project management C801 1 2 2.2 2.3 2 3 - 3 2 2 2 2 2 2
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COURSE WISE ATTAINMENT
PO PO PSO PSO CO.No SEM Subject Name PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 11 12 1 2 C104 I Fundamentals of computing 2.25 2 1.8 1.8 2.2 ------1.8 1.8 C206 II Object Oriented Programming - 1.5 2 2 1.6 ------2.6 2.4 C303 III Data structures 2 1.8 2 2 2 ------2.2 2 C402 IV Database management Systems 1.75 2 2.2 2.2 1.6 2.2 - 2.33 2 2 2 2 1.8 1.8 C503 V Software Engineering 2 1.8 2 2 1.4 2 2 2 2.25 2.25 2.25 2.25 2.2 2.2 C602 VI Object Oriented Analysis and - 1.5 1.67 1.67 2 1.33 1.33 - - - 3 2.5 1.6 1.6 Design C703 VII .Net Framework 3 - 2 2 1 - - - 3 - - 3 2 2 C801 VIII Software project mangement 1 2 2.2 2.3 2 3 - 3 2 2 2 2 2 2
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3.2. Attainment of Course Outcomes (50) 3.2.1. Describe the assessment processes used to gather the data upon which the evaluation of Course Outcome is based (10)
Assessment processes Direct Assessment methods Assessment Process Evaluation Theory During the class students will be given test without previous announcements. Surprise Tests The topics handled in the previous class or a problem relating to the topic handled will give as questions and the maximum marks allotted to that may be 25 marks for duration of 30-45 minutes. The Department will conduct three continuous assessment tests, scheduled in accordance with the college calendar of events. The teaching of at least 1.5 to 2 units would be completed before each test. The three continuous assessment tests will be conducted for 50 marks for the duration of 1.30 Hrs. Continuous Assessment The Course Coordinator will prepare the Question papers for the Tests respective course and will be submitted to Internal Assessment coordinator well in advance. Internal Assessment coordinator will scrutinize the question paper. The assessment process considers the marks scored in 3Continous Assessment Tests and Model exam.
Model examination will be conducted for 100 marks and the duration Model Exam of 3 Hrs. To evaluate student’s practical knowledge with their programming level capabilities, everyday evaluation is done. Model exam will be conducted after completion of the syllabus coverage Experiments for 100 marks for duration of 3 Hrs. The evaluation of courses done by the laboratory In-Charge(s) based on predefined metrics. Internal Assessment Marks in each practical paper would be awarded Laboratory Evaluation for the maximum of 40 marks. The model practical test and Semester end practical test will be conducted by the respective staff in charges. Based on the laboratory reports, practical test and the performance of the students, the Internal assessment marks shall be awarded on the following parameters: Divided into six components Practical Observation: 10 marks, Record work: 10 marks and Model practical exam: 10 marks Attendance: 10 Marks. Controller of examinations will schedule and execute the Semester End Examinations for each semester which would be the metric for End Semester assessing whether the COs are attained or not. Examination Examinations are focused on attainment of course outcomes using a descriptive exam.
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Students will be divided into groups; in each group will have a Maximum of 4 students. Every group will be mentored by a faculty. Three reviews will be conducted and the students will be reviewed by a panel of Project coordinator and internal project guide. Project Batches are selected to the internal guides based on the area of interest and research work carried by the faculties. Project Viva voce is conducted by the panel of external examiners deputed controller of examination by the University. Final Year Projects External examiners will examine the students and awarded the marks to the students and submitted to university. The Project coordinator and internal project guide encourage the students to publish in national/ international conference and scopus indexed journal. For Project evaluation, assessment process considers the marks scored in Review 0, Review1, Review2, Review3 and proportionately alloted to 100 marks. Others Minimum of 2 Assignment topics in each subject will be given to students. The assignments and class tests are considered as the qualitative Assignments assessment tool designed to assess student performance. Knowledge of engineering practices, framework, and problem solving are communicated well to acknowledge the mission of studies. Protocols developed to assess student knowledge with respect to the learning outcomes associated with the syllabus framed. Student will present a topic of their interest for the seminar session. Seminars Seminar topic shall be selected from the emerging technical areas. Discipline metrics are considered to assess the aptitude of the student Aptitude of the Student by the faculty. Based on the performances of the student in class activities and test results marks will be awarded by the respective subject handling faculty. Additionally for assessment process , Assignment are given to the Faculty Assessment students to induce self-learning, analyzing the learning level for theory courses and for practical courses ,level of completion of exercises are examined through the completion of record.
To develop the analytical capacity and confidence in delivering the view points of every individual student who communicate with others, this Group discussion type of performance assessment is carried out in every semester for the
second and third year students. This test is focused in attaining the program outcomes.
For university examination, all assessments of a course will be done on marks basis. However, for the purpose of reporting the performance of a candidate, letter grades, each carrying certain number of points , will be awarded as per the range of total marks (out of 100) obtained by the candidate in each subject as detailed below.
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The statement of marks for UG, Professional courses will be issued to the students on par with international standard incorporating Grade Point Average (GPA) and Cumulative Grade Point Average (CGPA). Revaluation of answer scripts for the current semester is permissible for all UG, Professional Courses. Students can apply for revaluation in the prescribed format within 10 days from the date of publication of results .photocopy of the answer paper will be given by the university. A special supplementary examination will be conducted during the month of July/August for the final semester students who have failed in not more than two subjects so as to enable the students to qualify for the course to get their degrees.
Grade Points and its Description
Marks Range Grade Points Letter Grade Description
90 - 100 10 O Outstanding
82 – 89 9 A+ Excellent
75 – 81 8 A Very Good
67 – 74 7 B+ Good
60 – 66 6 B Above Average
50 – 59 5 C Average
40 - 49 4 D Pass
0 - 39 0 RA Reappear
CO Attainment
Theory Laboratory Project
Lab Lab Project Project Course Course Performance Performance Performance Performance Evaluation Evaluation (60%) (40%) (60%) (40%) (50%) (50%) (University) (Internal) (University) (Internal) (Internal) (University)
Fig. B.3.2.1a Flowchart for attainment of Course Outcomes
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Measuring tools
Theory Course Performance – University Assessment
The University Examination is conducted for 100 Marks with 3 hours duration. All the COs are distributed evenly as shown in Table B.3.2.1a
Table B.3.2.1a Distribution of COs for University Theory Exam Assessment CO1 CO2 CO3 CO4 CO5 Type
University theory Exam
Theory Course Performance – Internal Assessment Internal Assessment performance is calculated based on the marks scored by the student in in three Continuous Assessment Tests, Model and Assignment. Assignment is given for each subject and is evaluated for 10 marks. The attainment of COs is distributed as shown in Table B.3.2.1b.
Table B.3.2.1b Distribution of COs (Theory) Assessment CO1 CO2 CO3 CO4 CO5 Type
CAT-I
CAT-II
CAT -III
Model
Assignment
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The overall Percentage Distribution for assessing COs based on Internal assessment tests for theory subjects is shown in Table B.3.2.1c. Table: B.3.2.1c Distribution of Assessment Methods (Theory) Assessment CAT –I CAT –II CAT –III Model Assignment Type
Distribution
Laboratory Course Assessment Lab Performance – University Assessment The University Examination is conducted for 100 Marks with 3 hours duration. The entire COs is distributed evenly as shown in Table B.3.2.1d. Table B.3.2.1d Distribution of COs for Laboratory University Exam Assessment CO1 CO2 CO3 CO4 CO5 Type
University Lab Exam
Lab Performance – Internal Assessment Test The Lab experiments address the COs of the respective Lab courses. During the Laboratory session, all the experiments are practically done using various equipments and software to enrich their knowledge in various domains. The students maintain the observation and record notebook for each Laboratory course which reflects their work during the laboratory session and verified by the respective subject handling staff. Lab assessment is carried out based on the marks scored by the student in the laboratory. Cycle – I, II and Model are conducted during each semester which carries 100 marks and addresses the entire COs. The COs is distributed as shown in Table B.3.2.1e.
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Table B.3.2.1e Distribution of COs (Laboratory) Assessment CO1 CO2 CO3 CO4 CO5 Type
Cycle-I
Cycle-II
Model
Record
The distribution of COs for Laboratory Internal Assessment Test is given in the Table B.3.2.1f, Table B.3.2.1f Distribution of Assessment methods (Laboratory) Assessment Type Cycle-I Cycle-II Model Record
Distribution
PROJECT EVALUATION
Project Evaluation – University Assessment University conducts a viva-voce examination for the students. The projects are evaluated by the External Examiners based on presentation and viva-voce.
Table B.3.2.1g Distribution of COs for Project University Exam Assessment CO1 CO2 CO3 CO4 CO5 Type
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Project University Exam
Project Evaluation – Internal Assessment Project work carried out by the student is evaluated by Project Guide along with project review committee. Students interact with the project guide periodically and the progress of the project in four reviews (Review 0, Review 1, Review 2, and Review 3) is evaluated. Table: B.3.2.1h Distribution of COs (Project Work) Assessment CO1 CO2 CO3 CO4 CO5 Type
Review 1
Review 2
Review 3
The overall percentage distribution for assessing COs based on assessment type for project work is shown in Table B.3.2.1i
Table: B.3.2.1i Distribution of Assessment methods (Project Work) Assessment Review 1 Review 2 Review 3 Type
Distribution
3.2.2 Record the attainment of Course Outcome of all courses with respect to set attainment levels (40)
The attainment of Course outcome is evaluated under two categories – University Assessment and Internal Assessment.
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Course Attainment calculation for Theory and Laboratory Weightage given to Internal Assessment = 40% Weightage given to External Assessment = 60% Final marks for all COs = (Internal Assessment in COs)*0.4 + (External Assessment in COs)*0.6 Course Attainment calculation for Project Weightage given to Internal Assessment = 40% Weightage given to External Assessment = 60% Final marks for all COs = (Internal Assessment in COs)*0.4 + (External Assessment in COs)*0.6 Attainment level for University Examination and Internal assessment Attainment Level for Internal Assessment Exam Range of Marks Attainment Level 35-40 3 25-34 2 16-24 1
Attainment Level for External Assessment Exam Range of Marks Attainment Level 45-60 3 36-45 2 24-35 1
15CBCE62-OBJECT ORIENTED ANALYSIS AND DESIGN Internal Attainment External Attainment Total Marks Level Marks Level 1 15602101 AADIT NARENDAR 29 2 30 1 59 2 15602102 AAKASH S TIWARI 30 2 24 1 54 3 15602103 ABDUL BASITH A 28 2 40 2 68 4 15602104 ABHISHEK KAUSHIK 23 1 25 1 48 5 15602105 ABINESH.V 26 2 25 1 51 6 15602106 AKHIL APPANNA K 30 2 24 1 54 7 15602107 AKSHAYA B 29 2 49 3 78 8 15602108 ALEX DANIEL S 26 2 31 1 57 9 15602109 ALISHA GUPTA 32 2 33 1 65
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10 15602110 ARAVIND SEKAR.S 19 1 31 1 50 11 15602111 ARCHANA.K.S 34 2 44 2 78 AYISHWARYA 12 15602112 30 2 39 2 69 LAKSUMI.G 13 15602113 BUVANESH.V 29 2 30 1 59 14 15602115 ELANCHEZHIYAN T 29 2 28 1 57 15 15602116 FAIZ KHAN 23 1 30 1 53 16 15602117 HARIHARAN S 29 2 36 1 65 17 15602118 HARI PRASAD K 31 2 31 1 62 18 15602119 HARISH.R 26 2 26 1 52 19 15602120 HEMANATHAN.K 27 2 38 2 65 20 15602121 JAYA PRIYA.R 27 2 44 2 71 21 15602122 JEROME DOMINIC.J 28 2 35 1 63 22 15602123 KARTHIKEYAN.P 25 1 29 1 54 23 15602124 KAVI NILAVU.K 31 2 40 2 71 24 15602125 KIRTHIKA DEVANAND 20 1 28 1 48 25 15602126 KIRTHIKA .K 31 2 39 2 70 26 15602127 LAVANYA . V 27 2 34 1 61 27 15602128 LOKESH.H 28 2 25 1 53 MARIA SARAH 28 15602129 34 2 35 1 69 STELLA THOMAS 29 15602130 MATHIOLLEE S 34 2 34 1 68 30 15602131 MEENAKSHI.S 30 2 48 2 78 31 15602132 MIR MOHAMED TAQI 21 1 16 1 37 32 15602133 MONCI ARULRAJ 26 2 44 2 70 33 15602134 MONISHA.S 37 3 47 2 84 34 15602135 MUDDULA SAI KIRAN 27 2 29 1 56 35 15602136 NAVEEN S 24 1 29 1 53 36 15602137 NISHANTH.E 28 2 32 1 60 37 15602138 PALANI A 19 1 31 1 50 POTLURI JYOTHI 38 15602139 32 2 33 1 65 SWAROOP 39 15602140 PRIYARAAJAN.GC.S 27 2 10 1 37 Average 1.82 1.3
Attainment 1.51
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3.3. Attainment of Program Outcomes and Program Specific Outcomes (75)
3.3.1 Describe the assessment tools and processes used for measuring the attainment of each of the program outcomes and program specific outcomes PO & PSO Assessment Methodology and Tools (Indirect Assessment)
Events Assessment Tool Assessment Frequency Students End Feedback to improve the teaching- Once at the end of a semester Semester Feedback learning process after the syllabus completion Students Exit Survey Feedback, interviews and group Once after the course discussion for the betterment of the completion department Parents Feedback Feedback to improve student Annually performance and conduct Alumni Survey Feedback for the improvement of Annually infrastructure, library, placement activities, industry-academic interaction Recruiter Survey Expectations and the requirements to Annually bridge the industry-academic gap
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3.3.2. Provide results of evaluation of each PO & PSO (65)
(The attainment levels by direct (student performance) and indirect (surveys) are to be presented through Program level Course- PO&PSO matrices as indicated).
PO Attainment YEAR 2018-19
Sl.No Course Name PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12 PSO1 PS02
1 15NSS255-NSS – I 1.55 2.13 1.94 1.94 1.94 - - 1.55 0.97 0.97 0.97 0.97 - -
2 15CBCE71-COMPUTER GRAPHICS 0.8 1.1 0.8 0.8 0.73 ------0.46 1.4 1.4 3 15CBCE72-SOFTWARE TESTING 1.88 1.23 1.84 1.8 2.05 - - 1.47 2.25 - 2.25 2.25 4.92 4.92
4 15CBCE73-.NET ENVIRONMENT 1.71 - 1.14 1.14 0.57 - - - 1.71 - - 1.71 1.14 1.14 15PBCE73-MINI PROJECT AND 5 SEMINAR 2.28 1.21 1.06 1.06 1.52 ------2.28 3 3 15DBCE71-GENETIC ALGORITHMS AND MACHINE 6 LEARNING 0.8 1.1 0.8 0.8 0.73 ------0.46 1.4 1.4
15DBCE72-CRYPTOGRAPHY AND 7 NETWORK SECURITY 0.99 1.24 1.24 1.24 1.24 1.33 0.99 1.33 0.8 0.8 0.8 0.8 1.88 1.88 15DBCE73-BIG DATA 8 PROGRAMMING 0.67 1.34 1.47 1.54 2.01 - 2.01 1.34 1.34 1.34 1.34 1.34 1.34 1.34 9 15GBCE71-E – LEARNING 1.71 - 1.14 1.14 0.57 - - - 1.71 - - 1.71 3 3 15CBCE51-DISCRETE ------1 1 10 MATHEMATICS 0.98 0.91 0.98 0.98 0.98
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15CBCE52- 1 COMPUTER 11 NETWORKS 1.15 2.07 2.31 1.92 1.77 1.15 0.77 1.92 1.54 1.54 1.92 1.54 3 15CBCE53- SOFTWARE 12 ENGINEERING 1.14 1.02 1.14 1.14 0.79 1.14 1.14 1.14 1.28 1.28 1.28 1.28 1.71 1.71 15DBCE51------PROGRAMMING 13 PARADIGMS 1.1 1.21 1.1 1.1 1.43 0.77 2.14 2.14 15DBCE52- - - - ARTIFICIAL 14 INTELLIGENCE 0.96 0.96 1.1 1.1 1.1 1.15 1.15 1.15 1.15 3 3 15DBCE53- SOFTWARE DEFINED 15 NETWORKS 1.03 1.01 0.86 0.86 1.01 0.86 1.03 0.86 0.82 0.82 0.82 0.82 1.41 1.41 15SUPD51-Pesonality 16 Development III 1.55 2.13 1.94 1.94 1.94 - - 1.55 0.97 0.97 0.97 0.97 1 1 15CBCE32- ENVIRONMENTAL SCIENCE AND 17 ENGINEERING 1.87 1.2 0.67 0.67 1.2 ------1 1 15CBCE31- 18 MATHEMATICS - III 0.26 0.24 0.26 0.26 0.26 ------0.32 0.32 15CBCE35-DATA 19 STRUCTURES 0.7 0.63 0.7 0.7 0.7 ------1.89 1.89 15CBCE36-DESIGN AND ANALYSIS OF 20 ALGORITHMS 0.51 0.76 0.64 0.64 0.64 ------0.49 0.98 0.98 15CBCE34- MICROPROCESSORS AND 21 MICROCONTROLLERS 0.26 0.26 1.14 0.61 ------1 1 15SUPD31- PERSONALITY 22 DEVELOPMENT – I 1.55 2.13 1.94 1.94 1.94 - - 1.55 0.97 0.97 0.97 0.97 1 1 - - - 15GBCE31-DIGITAL 23 PRINCIPLES AND 0.96 0.96 1.1 1.1 1.1 1.15 1.15 1.15 1.15 1 1
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SYSTEM DESIGN
18CBCE11- 24 CHEMISTRY 0.59 0.46 0.23 0.23 0.46 0.23 0.59 0.23 ------18CBCE12- MATHEMATICS - I (CALCULUS AND 25 LINEAR ALGEBRA) 0.26 0.24 0.26 0.26 0.26 ------0.32 0.32 18CBCE13- PROGRAMMING FOR 26 PROBLEM SOLVING 1.28 1.14 1.02 1.02 1.25 ------1.36 1.36 DIRECT ATTAINMENT AVERAGE 1.10 1.11 1.11 1.07 1.13 0.94 1.09 1.29 1.28 1.10 1.24 1.17 0.84 0.84
YEAR 2017-18
Sl.No Course Name PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12 PSO1 PS02
15GBE001- 1 .79 .79 .85 .85 .85 ------2 1 MATHEMATICS-I
15GBE002- 2 ENGINEERING 1 0.6 1 1 1 0.2 ------2 1 PHYSICS
15GBE003- FUNDAMENTALS OF 3 0.92 0.82 0.73 0.73 0.9 ------2 1 COMPUTING (Theory - Internal)
15GBE004- ENGINEERING 4 1.18 0.61 0.66 0.66 ------2 1 GRAPHICS (Theory - Internal)
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15GBE201 – 5 1 0.86 0.62 0.62 0.86 0.62 1.36 0.62 - - - 0.62 2 1 TECHNICAL ENGLISH
15GBE006- PRACTICAL - 6 ENGINEERING 0.56 1.12 0.56 0.56 0.56 1.68 ------2 1 PHYSICS (Practical - Internal)
15GBE007- 7 COMPUTER PRACTICS 0.87 1.2 1.6 1.6 1.6 1.6 1.6 1.6 1.6 - - - 2 1 LAB
15GBE201- 8 - - - - 0.98 1.08 1.14 1.08 1.3 1.3 1.3 1.3 2 1 TECHNICAL ENGLISH
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II SEMESTER
Sl.No Course Name PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12 PSO1 PS02
15ECS021-ELECTRIC CIRCUITS AND 1 0.49 0.49 0.49 0.49 0.86 0.49 2 1 ELECTRONIC DEVICES (Theory - Internal)
15ECS022-OBJECT ORIENTED 2 0.69 0.92 0.92 0.73 2 1 PROGRAMMING (Theory - Internal)
15ECS023-Practical - OBJECT ORIENTED 3 0.86 0.54 0.67 0.67 1.08 2 1 PROGRAMMING (Practical - Internal)
15GBE008- 4 MATHEMATICS - II .79 .79 .85 .85 .85 ------2 1 (Theory - Internal)
15GBE009-ENGINEERING 5 CHEMISTRY (Theory - 1.14 0.88 0.44 0.44 0.88 0.44 1.14 0.44 2 1 Internal)
15GBE010-MATERIAL 6 SCIENCE (Theory - 0.88 0.54 0.88 0.88 0.88 0.2 2 1 Internal)
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15GBE011-PRACTICAL - ENGINEERING 7 1.56 1.42 0.92 0.92 1.42 0.92 1.56 0.92 2 1 CHEMISTRY (Practical - Internal)
15GBE202- 8 COMMUNICATION SKILLS 1.3 0.91 0.26 0.26 1.43 0.26 2 1 (Theory - Internal)
15GBE203-PRACTICAL - 9 LANGUAGE LABORATORY 1.22 0.85 0.24 0.24 1.34 0.24 0.67 2 1 (Practical - Internal)
15CBCE31- 10 MATHEMATICS - III 1.04 0.96 1.04 1.04 1.04 2 1 (Theory - Internal)
15CBCE32- ENVIRONMENTAL 11 SCIENCE AND 1.26 0.81 0.45 0.45 0.81 2 1 ENGINEERING (Theory - Internal)
15CBCE33-ANALOG AND DIGITAL 12 0.8 1.2 0.8 0.8 1.2 0.8 0.8 2 1 COMMUNICATION (Theory - Internal)
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15CBCE34- MICROPROCESSORS AND 13 0.23 0.23 1.01 0.546 2 1 MICROCONTROLLERS (Theory - Internal)
15CBCE35-DATA 14 STRUCTURES (Theory - 1 0.9 1 1 1 2 1 Internal)
15CBCE36-DESIGN AND ANALYSIS OF 15 59 0.88 0.74 0.74 0.74 2 1 ALGORITHMS (Theory - Internal)
15PBCE31-PRACTICAL - 16 DATA STRUCTURES 1.4 1.28 1.02 1.15 1.15 2 1 (Practical - Internal)
15PBCE32-PRACTICAL - MICROPROCESSOR AND 17 0.93 1.09 1.24 2 1 MICROCONTROLLERS (Practical - Internal)
15SUPD31-PERSONALITY 18 DEVELOPMENT - I 0.87 1.27 1.27 1.27 1.82 1.27 2.19 2.19 2.19 2.19 2 1 (Practical - Internal)
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15CBCE41-PROBABILITY AND 19 QUEUING THEORY (Theory - 1.14 1.05 1.14 1.14 1.14 2 1 Internal)
15CBCE42-DATABASE 20 MANAGEMENT SYSTEMS 0.82 0.9 1.03 1.03 0.75 1.03 1.09 0.94 0.94 0.94 0.94 2 1 (Theory - Internal)
15CBCE43-OPERATING 21 1.06 1.37 1.06 1.06 0.84 2 1 SYSTEMS (Theory - Internal)
15DBCE41-COMPUTER ORGANIZATION AND 22 0.9 0.99 1.08 1.215 1.26 0.9 0.9 0.63 2 1 ARCHITECTURE (Theory - Internal)
15DBCE42-Theory OF 23 COMPUTATION (Theory - 0.8 0.8 0.8 1 0.6 0.6 2 1 Internal)
15GBCE41-INTELLECTUAL 24 PROPERTY RIGHTS (Theory - 0.43 0.77 0.86 0.86 0.86 0.86 0.86 0.86 0.64 0.75 0.64 0.86 2 1 Internal)
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15PBCE41-PRACTICAL - 25 DATABASE MANAGEMENT 1.8 1.29 1.29 1.29 1.29 1.29 1.8 1.29 1.8 1.8 1.8 1.8 2 1 (Practical - Internal)
15PBCE42-PRACTICAL - 26 OPERATING SYSTEMS (Practical 0.93 1.08 0.93 0.93 1.24 1.09 0.93 2 1 - Internal)
15SUPD41-PERSONALITY 27 DEVELOPMENT - II (Practical - 1.75 1.18 1.05 1.05 1.32 0.87 1.5 1.18 1.53 1.53 1.53 2 1 Internal)
15CBCE51-DISCRETE 28 MATHEMATICS (Theory - 1.48 1.36 1.48 1.48 1.48 2 1 Internal)
15CBCE52-COMPUTER 29 0.66 1.18 1.32 1.1 1.01 0.66 0.44 1.1 0.88 0.88 1.1 0.88 2 1 NETWORKS (Theory - Internal)
15CBCE53-SOFTWARE 30 ENGINEERING (Theory - 0.94 0.84 0.94 0.94 0.65 0.94 0.94 0.94 1.05 1.05 1.05 1.05 2 1 Internal)
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15DBCE51-PROGRAMMING 31 0.8 0.88 0.8 0.8 1.04 0.56 2 1 PARADIGMS(Theory - Internal)
15DBCE52-ARTIFICIAL 32 INTELLIGENCE (Theory - 1.18 1.18 1.3 1.3 1.3 1.41 1.41 1.41 1.41 2 1 Internal)
15DBCE53-SOFTWARE DEFINED 33 1.18 1.16 0.98 0.98 1.16 0.98 1.18 0.98 0.94 0.94 0.94 0.94 2 1 NETWORKS (Theory - Internal)
15GBCE51-TOTAL QUALITY 34 MANAGEMENT(Theory - 2 1 Internal)
15PBCE51-PRACTICAL - 35 COMPUTER NETWORKS 2.19 1.46 1.02 1.02 1.24 1.67 0.87 2 1 (Practical - Internal)
15PBCE52-PRACTICAL - JAVA 36 PROGRAMMING (Practical - 2.6 1.12 0.9 0.9 1.4 2.1 2 1 Internal)
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15PBCE53-PRACTICAL - 37 INTRODUCTION TO INTERNET 1.81 1.56 1.4 1.4 1.4 1.4 1.81 1.4 1.56 1.56 1.56 1.56 2 1 OF THINGS (Practical - Internal)
15SUPD51-PERSONALITY 38 DEVELOPMENT - III (Practical - 1.75 1.18 1.05 1.05 1.32 0.87 1.5 1.18 1.53 1.53 1.53 2 1 Internal)
15CBCE61-INTERNET 39 PROGRAMMING(Theory - 1.15 0.92 0.8 0.5 2 1 Internal)
15CBCE62-OBJECT ORIENTED 40 ANALYSIS AND DESIGN(Theory - 0.76 0.85 0.85 1.02 0.67 0.67 1.53 1.2 2 1 Internal)
15CBCE63-PRINCIPLES OF 41 COMPILER DESIGN(Theory - 0.78 0.86 0.86 1.04 0.69 1.56 1.3 2 1 Internal)
15DBCE61-MOBILE AND 42 PERVASIVE COMPUTING(Theory 1.18 1.16 0.98 0.98 1.08 1.16 1.18 1.16 0.94 0.94 0.94 0.94 2 1 - Internal)
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15DBCE62-SOFT 43 1.08 1.08 1.24 1.24 1,24 1.29 1.29 1.29 2 1 COMPUTING(Theory - Internal)
15DBCE63-USER INTERFACE 44 1.71 1.14 1.14 0.8 1.14 1.42 1.14 1.28 2 1 DESIGN(Theory - Internal)
15GBCE61-PRINCIPLES OF MANAGEMENT AND 45 0.54 0.54 0.7 1.08 0.81 0.81 1.62 2 1 PROFESSIONAL ETHICS(Theory - Internal)
15PBCE61-PRACTICAL - OBJECT 46 ORIENTED ANALYSIS AND 1.2 1.64 1.47 1.47 1.64 1.12 1.12 2.46 2 1 DESIGN(Practical - Internal)
15PBCE62-PRACTICAL - INTERNET 47 1.15 1.29 1.15 1.15 1.5 2 1 PROGRAMMING(Practical - Internal)
15PBCE63-INPLANT 48 2 1 TRAINING(Practical - Internal)
15SUPD61-PERSONALITY 49 DEVELOPMENT - IV(Practical - 1.58 1.46 1.83 1.34 1.22 2 1 Internal)
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14CBCE71-WEB 50 TECHNOLOGY (Theory - 1.53 - 1.02 1.02 0.51 - - - 1.53 - - 1.53 1.02 1.02 Internal)
14CBCE72-COMPUTER 51 GRAPHICS (Theory - 1 1.34 0.98 0.98 0.89 0.56 0.56 0.56 Internal)
14CBCE73-DIGITAL 52 IMAGE PROCESSING 0.98 0.98 1.12 1.12 1.12 - - - 1.17 1.17 1.17 1 1 (Theory - Internal)
14CBCE74- .NET 53 ENVIRONMENT (Theory 1.14 - 0.76 0.76 0.38 - - - 1.14 - - 1.14 0.76 0.76 - Internal)
14EBCE10-DATA WAREHOUSING AND 54 1.37 1.76 0.88 0.88 0.77 0.88 1.37 1.1 0.91 0.91 0.91 0.91 0.91 0.91 DATA MINING (Theory - Internal)
14EBCE16-SOFTWARE 55 TESTING (Theory - 0.82 0.54 0.81 0.79 0.9 - - 0.64 0.99 - 0.99 0.99 1 1 Internal)
14PBCE71-PRACTICAL - 56 COMPUTER GRAPHICS 1 1.13 1 1 1 0.88 0.88 (Practical - Internal)
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14PBCE72-PRACTICAL - 57 OPEN SOURCE 0.9 - 0.9 0.9 0.9 - - - 1.8 - - 1.2 0.45 0.45 (Practical - Internal)
14EBCE13-SOFTWARE PROJECT 58 0.46 0.92 1.01 1.05 0.92 1.38 - 1.38 0.92 0.92 0.92 0.92 2 2 MANAGEMENT (Theory - Internal)
14EBCE17- INFORMATION 59 0.45 1.14 1.48 1.48 1.42 1.42 - - 1.25 - 1.14 1.25 1.14 - SECURITY (Theory - Internal)
14RBCE81-PROJECT 60 WORK (Practical - 1.23 1.08 0.95 0.95 0.95 0.81 0.81 0.81 0.81 0.81 0.81 Internal)
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YEAR 2016-17
Sl.No Course Name PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12 PSO1 PS02
15GBE001- 1 0.76 0.7 0.76 0.76 0.76 2 1 MATHEMATICS-I 15GBE002- 2 ENGINEERING 1 0.6 1 1 1 0.2 2 1 PHYSICS 15GBE003- FUNDAMENTALS OF 3 0.92 0.82 0.73 0.73 0.9 2 1 COMPUTING (Theory - Internal) 15GBE004- ENGINEERING 4 1.18 0.61 0.66 0.66 2 1 GRAPHICS (Theory - Internal) 15GBE005-PRACTICAL - ENGINEERING 5 1.48 0.86 0.62 0.62 0.86 0.62 1.36 0.62 0.62 2 1 PRACTICES (Practical - Internal) 15GBE006-PRACTICAL - ENGINEERING 6 0.56 1.12 0.56 0.56 0.56 1.68 2 1 PHYSICS (Practical - Internal) 15GBE007- 7 COMPUTER PRACTICS 0.87 1.2 1.6 1.6 1.6 1.6 1.6 1.6 1.6 2 1 LAB 15GBE201- 8 0.98 1.08 1.14 1.08 1.3 1.3 1.3 1.3 2 1 TECHNICAL ENGLISH
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II SEMESTER
Sl.No Course Name PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12 PSO1 PS02
15ECS021-ELECTRIC CIRCUITS AND 1 0.49 0.49 0.49 0.49 0.86 0.49 2 1 ELECTRONIC DEVICES (Theory - Internal) 15ECS022-OBJECT ORIENTED 2 0.69 0.92 0.92 0.73 2 1 PROGRAMMING (Theory - Internal) 15ECS023-Practical - OBJECT ORIENTED 3 0.86 0.54 0.67 0.67 1.08 2 1 PROGRAMMING (Practical - Internal) 15GBE008- 4 MATHEMATICS - II 0.76 0.7 0.76 0.76 0.76 2 1 (Theory - Internal) 15GBE009-ENGINEERING 5 CHEMISTRY (Theory - 1.14 0.88 0.44 0.44 0.88 0.44 1.14 0.44 2 1 Internal) 15GBE010-MATERIAL 6 SCIENCE (Theory - 0.88 0.54 0.88 0.88 0.88 0.2 2 1 Internal) 15GBE011-PRACTICAL - ENGINEERING 7 1.56 1.42 0.92 0.92 1.42 0.92 1.56 0.92 2 1 CHEMISTRY (Practical - Internal) 15GBE202- 8 COMMUNICATION SKILLS 1.3 0.91 0.26 0.26 1.43 0.26 2 1 (Theory - Internal)
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15GBE203-PRACTICAL - 9 LANGUAGE LABORATORY 1.22 0.85 0.24 0.24 1.34 0.24 0.67 2 1 (Practical - Internal)
III SEMESTER
Sl.No Course Name PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12 PSO1 PS02
15CBCE31- 1 MATHEMATICS - III 1.17 1.08 1.17 1.17 1.17 2 1 (Theory - Internal) 15CBCE32- ENVIRONMENTAL 2 SCIENCE AND 1.092 0.702 0.39 0.39 0.7 2 1 ENGINEERING (Theory - Internal) 15CBCE33-ANALOG AND DIGITAL 3 0.8 1.2 0.8 0.8 1.2 0.8 0.8 2 1 COMMUNICATION (Theory - Internal) 15CBCE34- MICROPROCESSORS AND 4 0.42 0.42 1.84 0.99 2 1 MICROCONTROLLERS (Theory - Internal) 15CBCE35-DATA 5 STRUCTURES (Theory - 0.78 0.7 0.78 0.78 0.78 2 1 Internal) 15CBCE36-DESIGN AND ANALYSIS OF 6 59 0.88 0.74 0.74 0.74 2 1 ALGORITHMS (Theory - Internal) 15PBCE31-PRACTICAL - 7 DATA STRUCTURES 1.4 1.28 1.02 1.15 1.15 2 1 (Practical - Internal)
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15PBCE32-PRACTICAL - MICROPROCESSOR AND 8 0.852 0.99 1.13 2 1 MICROCONTROLLERS (Practical - Internal) 15SUPD31-PERSONALITY 9 DEVELOPMENT - I 0.79 1.15 1.15 1.15 1.65 1.15 1.98 1.98 1.98 1.98 2 1 (Practical - Internal)
IV SEMESTER
Sl.No Course Name PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12 PSO1 PS02
15CBCE41-PROBABILITY 1 AND QUEUING THEORY 1.19 1.1 1.19 1.19 1.19 2 1 (Theory - Internal) 15CBCE42-DATABASE 2 MANAGEMENT SYSTEMS 0.75 0.85 0.94 0.94 0.68 0.94 0.99 0.85 0.85 0.85 0.85 2 1 (Theory - Internal) 15CBCE43-OPERATING 3 SYSTEMS (Theory - 1.04 1.35 1.04 1.04 0.83 0.52 2 1 Internal) 15DBCE41-COMPUTER ORGANIZATION AND 4 1.11 1.21 1.32 1.48 1.54 1.1 1.1 0.77 2 1 ARCHITECTURE (Theory - Internal) 15DBCE42-Theory OF 5 COMPUTATION (Theory - 0.92 0.92 0.92 1.15 0.69 0.69 2 1 Internal) 15GBCE41- INTELLECTUAL 6 0.43 0.77 0.86 0.86 0.86 0.86 0.86 0.86 0.64 0.75 0.64 0.86 2 1 PROPERTY RIGHTS (Theory - Internal) 15PBCE41-PRACTICAL - DATABASE 7 1.71 1.22 1.22 1.22 1.22 1.22 1.7 1.2 1.7 1.7 1.7 1.7 2 2 MANAGEMENT (Practical - Internal)
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15PBCE42-PRACTICAL - 8 OPERATING SYSTEMS 1.03 1.2 1.03 1.03 1.38 1.2 1.03 1 1 (Practical - Internal) 15SUPD41-PERSONALITY 9 DEVELOPMENT - II 1.88 1.27 1.13 1.13 1.42 0.94 1.7 1.27 1.65 1.65 1.65 1 1 (Practical - Internal)
V SEMESTER
Sl.No Course Name PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12 PSO1 PS02 12XUPD51-PERSONALITY 1 DEVELOPMENT - III ------1.34 1.2 1.5 1.1 1 1 1 (Practical - Internal) 14CBCE51-DISCRETE 2 MATHEMATICS (Theory - 0.79 0.79 0.85 0.85 0.85 ------2 1 Internal) 14CBCE52-COMPUTER ORGANIZATION AND 3 0.98 1.07 1.17 1.32 1.37 0.98 - - - 0.98 - 0.68 0.68 0.98 ARCHITECTURE (Theory - Internal) 14CBCE53-COMPUTER 4 NETWORKING (Theory - 0.73 1.3 1.47 1.2 1.12 0.73 0.49 1.22 0.98 0.98 1.22 0.98 0.88 1 Internal) 14CBCE54-ARTIFICIAL 5 INTELLIGENCE (Theory - 1.06 1.06 1.21 1.21 - - - 1.27 1.27 1.27 1.27 1.06 1.06 Internal) 14CBCE55-SOFTWARE 6 ENGINEERING (Theory - 1.06 0.95 1.06 1.06 0.74 1.06 1.06 1.06 0.75 0.75 0.75 0.75 1 1 Internal) 14CBCE56- PROGRAMMING 7 1.06 1.16 2 1.06 1.37 ------0.74 0.68 0.68 PARADIGMS (Theory - Internal) 14PBCE51-PRACTICAL - 8 COMPUTER 1.5 1 0.7 0.7 0.85 0.85 1.15 - - - - 0.6 0.6 0.6 NETWORKING (Practical -
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Internal)
14PBCE52-PRACTICAL - 9 JAVA PROGRAMMING 1.62 0.86 0.78 0.7 1.12 ------1.68 1.68 1.68 (Practical - Internal)
VI SEMESTER
Sl.No Course Name PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12 PSO1 PS02 12XUPD61-PERSONALITY 1 DEVELOPMENT - IV ------0.69 0.62 0.78 0.57 0.52 1 1 (Practical - Internal) 14CBCE61-PRINCIPLES 2 OF MANAGEMENT - 0.48 0.48 0.62 0.96 0.48 1.44 0.72 0.72 - 0.86 - 2 1 (Theory - Internal) 14CBCE62-INTERNET 3 PROGRAMMING (Theory - 1.3 0.04 0.91 0.62 0.72 0.72 Internal) 14CBCE63-COMPILER 4 DESIGN (Theory - 0.12 0.44 0.57 0.76 0.95 0.95 Internal) 14CBCE64-OBJECT ORIENTED ANALYSIS AND 5 - 0.7 0.78 0.78 0.94 0.62 0.62 - - - 1.41 1.17 0.75 0.75 DESIGN (Theory - Internal) 14CBCE65- CRYPTOGRAPHY AND 6 0.83 1.04 1.04 1.04 1.04 1.12 0.83 1.12 0.67 0.67 0.67 0.67 2 1 NETWORK SECURITY (Theory - Internal) 14EBCE05-USER 7 INTERFACE DESIGN 1.44 0.96 0.96 - 0.72 - 0.96 1.2 0.96 - 1.08 - 0.86 0.86 (Theory - Internal) 14PBCE61-PRACTICAL - OBJECT ORIENTED 8 0.78 1.04 0.93 0.93 1.04 0.78 0.78 - - - 1.56 - 0.62 1.17 ANALYSIS AND DESIGN (Practical - Internal)
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14PBCE62-PRACTICAL - INTERNET 9 1 1.13 1.03 1 1 1.26 1.26 PROGRAMMING (Practical - Internal)
VII SEMESTER
Sl.No Course Name PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12 PSO1 PS02 09CBCE71-Engineering Economics & Financial 1 1.75 1.18 1.05 1.05 1.32 0.87 1.5 1.18 1.53 1.53 1.53 1 1 Accounting (Theory - Internal) 09CBCE72-Computer 2 Graphics (Theory - 1 1.34 0.98 0.98 0.89 0.56 0.56 0.56 Internal) 09CBCE73-Mobile and 3 pervasive Computing 1.18 1.16 0.98 0.98 1.08 1.16 1.18 1.16 0.94 0.94 0.94 0.94 (Theory - Internal) 1 1 09CBCE74-Digital Signal 4 processing (Theory - 0.98 0.98 1.12 1.12 1.12 - - - 1.17 1.17 1.17 2 1 Internal) 09EBCE7B-Data 5 Warehousing and Data 1.37 1.76 0.88 0.88 0.77 0.88 1.37 1.1 0.91 0.91 0.91 0.91 0.91 0.91 Mining (Theory - Internal) 09EBCE7I-C # and .NET 6 Framework (Theory - 1.14 - 0.76 0.76 0.38 - - - 1.14 - - 1.14 0.76 0.76 Internal)
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VIII SEMESTER
Sl.No Course Name PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12 PSO1 PS02 09EBCE8J-Professional 1 Ethics in Engineering 0.54 0.54 0.7 1.08 0.81 0.81 1.62 (Theory - Internal) 1 1 09EBCE8O-Software 2 project Management 0.46 0.92 1.01 1.05 0.92 1.38 - 1.38 0.92 0.92 0.92 0.92 2 1 (Theory - Internal)
INDIRECT ATTAINMENT
INDIRECT ATTAINMENT TABLE FOR 2018 - 2019 PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12 PS01 PSO2 1 Student end 2.3 2.4 2.1 2 2.1 2.2 2.5 2.1 2.2 2.1 2.4 2.2 2.4 2.5 semester survey 2 Student Exit 1.9 1.8 1.8 1.6 1.8 2.1 1.7 1.5 1.7 1.8 1.9 1.8 1.8 1.8 survey 3 Parent feed back 1.9 1.8 1.9 1.9 1.5 1.9 1.8 1.7 1.5 1.8 1.5 1.6 2.1 2.1 4 Alumni Feedback 2.1 2.1 1.9 1.8 1.9 1.9 1.7 2.2 2.1 2.4 1.9 2.1 2.2 2.2 5 Recruiter survey 1.7 1.8 2.1 2 2.1 1.9 2.1 1.7 1.8 2.1 1.7 2.1 2.2 2.1 6 Average PO 1.98 1.98 1.96 1.86 1.88 2 1.96 1.84 1.86 2.04 1.88 1.96 2.14 2.14 Attainment( Indirect Assessment) 7 20 % of PO 0.40 0.40 0.39 0.37 0.38 0.40 0.39 0.37 0.37 0.41 0.38 0.39 0.43 0.43 Attainment
INDIRECT ATTAINMENT TABLE FOR 2017 - 2018 Sl.No Assessment Tool PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12 PS01 PSO2
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1 Student end 2.2 2.3 2.1 2 2.1 2.2 2.5 2.1 2.2 2.1 2.4 2.2 2.4 2.5 semester survey 2 Student Exit 1.9 1.8 1.6 1.6 1.8 1.6 1.7 1.5 1.4 1.5 1.6 1.6 1.6 1.8 survey 3 Parent feed back 1.9 1.8 1.7 1.9 1.5 1.9 1.6 1.6 1.5 1.8 1.5 1.6 2.1 1.9 4 Alumni Feedback 2.1 2.1 1.9 1.8 1.9 1.9 1.7 2.2 2.1 2.4 1.9 2.1 2.2 2.2 5 Recruiter survey 1.7 1.8 1.9 1.9 1.9 1.9 2.1 1.7 1.8 2.1 1.7 2.1 2.2 2.1 6 Average PO 1.96 1.96 1.84 1.84 1.84 1.9 1.92 1.82 1.8 1.98 1.82 1.92 2.1 2.1 Attainment( Indirect Assessment) 7 20 % of PO 0.39 0.39 0.37 0.37 0.37 0.38 0.38 0.36 0.36 0.40 0.36 0.38 0.42 0.42 Attainment
INDIRECT ATTAINMENT TABLE FOR 2016 - 2017 Sl.No Assessment Tool PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12 PS01 PSO2 1 Student end 2.1 2.2 2.1 1.9 2.1 2.2 1.8 2.1 2.2 2.1 2.4 2.2 2.4 2.5 semester survey 2 Student Exit 1.8 1.7 1.5 1.6 1.7 1.5 1.6 1.6 1.4 1.6 1.5 1.6 1.6 1.7 survey 3 Parent feed back 1.9 1.8 1.7 1.9 1.8 1.9 1.6 1.6 1.5 1.8 1.5 1.6 1.9 2.1 4 Alumni Feedback 2.1 2.1 1.9 1.8 1.9 1.9 1.7 2.2 2.1 2.4 1.9 2.1 2.2 2.2 5 Recruiter survey 1.8 1.7 1.9 1.9 1.9 1.8 2.1 1.7 1.8 2.1 1.7 1.6 2.2 2.1 6 Average PO 1.94 1.9 1.82 1.82 1.88 1.86 1.76 1.84 1.8 2 1.8 1.82 2.06 2.12 Attainment ( Indirect Assessment) 7 20 % of PO 0.39 0.38 0.36 0.36 0.38 0.37 0.35 0.37 0.36 0.40 0.36 0.36 0.41 0.42 Attainment
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CRITERION - 4 Students’ Performance 100
Item 2018- 2017- 2016- 19 18 17
Sanctioned intake of the program (N) 120 120 120
Total number of students admitted in first year minus number of students migrated to other programs/institutions plus no. 106 85 91 of students migrated to this program (N1)
Number of students admitted in 2nd year in the same batch via - 3 8 lateral entry (N2)
Separate division students, if applicable (N3) - - -
Total number of students admitted in the Program(N1 + N2 + N3) 106 88 99
Table B.4a
Number of students who have successfully graduated without backlogs in any semester/year of study N1 + N2 + N3 (Without Backlog means no compartment or failures in any Year of entry (As defined semester/year of study) above) I III II Year IV Year Year Year
2018-19 106
2017-18 88(85+3) 12
2016-17 99(91+8) 17 12
2015-16 74(70+4) 10 11 11
2014-15 49(46+3) 9 7 6 6
2013-14 69(63+6) 10 8 7 7
2012-13 103(95+8) 7 6 7 6
Table B.4b
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.
Number of students who have successfully graduated (Students with backlog in N1 + N2 + N3 stipulated period of study) Year of entry (As defined above) III IV I Year II Year Year Year
2018-19 112 21 2017-18 88(85+3) 36 38 2016-17 99(91+8) 20 25 23 2015-16 74(70+4) 16 15 23 30 2014-15 49(46+3) 11 16 25 42 2013-14 69(63+6) 2 23 45 43 2012-13 103(95+8) 3
Table B.4c
4.1 ENROLEMENT RATIO (20) :
Enrolment Ratio= N1/N
Academic Year Marks N1/N
2018-2019 20
2017-2018 16
2016-2017 18
Average 18
Table B.4.1
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4.2 Success Rate in the stipulated period of the program (20)
4.2.1. Success rate without backlogs in any semester/year of study (15)
SI= (Number of students who have graduated from the program without backlog)/ (Number of students admitted in the first year of that batch and admitted in 2nd year via lateral entry and separate division, if applicable)
Average SI = Mean of Success Index (SI) for past three batches
Success rate without backlogs in any year of study = 15 × Average SI
Last Year of Last Year of Last Year of Graduate minus Item Graduate Graduate minus 1 2 2014-18 2013-17 2012-16 Number of students admitted in the corresponding First Year + admitted in 44 61 96 2nd year via lateral entry and separate division, if applicable
Number of students who have graduated without backlogs in the 5 4 4 stipulated period Success Index (SI) 5/44=0.11 4/61=0.07 4/96=0.04 Average SI (0.11+0.07+0.04)/3= 0.07
4.2.2. Success rate with backlog in stipulated period of study (5)
Last Year of Last Year of Last Year of Graduate minus Item Graduate Graduate minus 2 1 2014-18 2012-16 2013-17 Number of students admitted in the corresponding First Year + admitted in 44 61 96 2nd year via lateral entry and separate division, if applicable Number of students who have graduated with backlogs in the stipulated 35 54 74 period Success Index (SI) 0.79 0.88 0.77 Average SI 2.44/3=0.81
Success rate of students who successfully graduated= 5*0.81=4.05
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4.3 Academic Performance in Second Year
Academic Performance 2017-18 2016-17 2015-16
Mean of CGPA or Mean Percentage of all successful 7.46 7.17 6.88 students (X)
total no. of successful students (Y) 12 9 7 Total no. of students appeared in the examination (Z) 97 67 46 API = x* (Y/Z) 0.922 0.96 1.04
Average API = (AP1 + AP2 + AP3)/3 0.97 Academic Performance Level = 1.5 X Average API = 1.45
4.4 Placement, Higher Studies and Entrepreneurship (30) Assessment Points = 30 × average placement 4.4a. Provide the placement data in the below mentioned format with the name of the program and the assessment year:
Item 2017-18 2016-17 2015-16 Total No. of Final Year Students (N) 44 61 96 No. of students placed in companies or Government Sector 29 31 41 (x) No. of students admitted to higher studies with valid qualifying scores (GATE or equivalent State or National 2 7 6 Level Tests, GRE, GMAT etc.) (y)
No. of students turned entrepreneur in 8 10 18 engineering/technology (z) x + y + z = 39 48 65 Placement Index : (x + y + z )/N 0.89 0.79 0.68
Average placement= (P1 + P2 + P3)/3 0.78
Assessment Points = 30 × 0.78 = 23.4
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B.E. Computer Science and Engineering 2016-2017
Name of Name of the student Appointment letter S.No. Enrollment no. the placed reference no. with date Employer
13602121 AMAZON 27.03.2017 1 IYERSREESUDHA
REGAN PAULRAJ 13602501 DUCEN 06.09.2016 2
ROHITH R 13602145 DUCEN 06.09.2016 3
SWETHA N 13602158 DUCEN 06.09.2016 4
VIVEKMINJ 13602166 DUCEN 06.09.2016 5
13602502 GODB TECH 11.01.2017 6 GOKULNATH.U
13602132 GODB TECH 11.01.2017 7 MERCY SABATHIN.R
13602111 IDBI FEDERAL 13.03.2017 8 CHANDRA KUMAR M
13602112 IDBI FEDERAL 13.03.2017 9 DHANVEERAHAMED. A
13602115 IDBI FEDERAL 13.03.2017 10 GAYATHRI. K
13602131 IDBI FEDERAL 13.03.2017 11 MANIGANDAN.V.P
13602139 IDBI FEDERAL 13.03.2017 12 RAJENDRANI BOSE
13602153 IDBI FEDERAL 13.03.2017 13 SOLOMON DAVID
13602168 REVATURE 22.09.2016 14 AASHISHMINJ K
13602102 REVATURE 22.09.2016 15 AFRIN BANU Y
13602104 REVATURE 22.09.2016 16 AJITH KUMAR D
13602105 REVATURE 22.09.2016 17 AMRITHPARTHASARATHY
13602106 REVATURE 22.09.2016 18 ANAND KUMAR
13602107 REVATURE 22.09.2016 19 ANANDSUHASCHANDEKAR
13602108 REVATURE 22.09.2016 20 ANUPRIYA T
HARINI 13602117 REVATURE 22.09.2016 21
KRITHIKA 13602128 REVATURE 22.09.2016 22
SARANYA K 13602149 REVATURE 22.09.2016 23
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SIVASANKARI 13602152 REVATURE 22.09.2016 24 VALLURU PAVAN 13602160 REVATURE 22.09.2016 25 SRIVATSAV
13602161 REVATURE 22.09.2016 26 VASUDHARINI G
13602163 REVATURE 22.09.2016 27 VIDHYASAGAR B
VIJAYALAKSHMI 13602164 REVATURE 22.09.2016 28
13602101 SAVVYSOFT 09.02.2017 29 ADHITHIYAN M
13602109 SAVVYSOFT 09.02.2017 30 ARAVINDAN T
13602140 SAVVYSOFT 09.02.2017 31 RAKESH REDDY D
B.E. Computer Science and Engineering 2015-2016
Name of Name of the student Appointment letter S.No. Enrollment no. the placed reference no. with date Employer 12602117 15.02.2016 1 GAURAV KUMAR CSS CORP PVT LTD 12602128 15.02.2016 2 HEMANTHKRISHNA.J CSS CORP PVT LTD 12602163 15.02.2016 3 PREETHIJOSH.A CSS CORP PVT LTD 12602218 15.02.2016 4 SWETHA.K CSS CORP PVT LTD 12602147 24.02.2016 5 MIRRAAMRITHA.B DUCEN-IT SOLUTION 12602153 24.02.2016 6 NARASHIMMAN.S DUCEN-IT SOLUTION 12602159 24.02.2016 7 PRAKASH.R DUCEN-IT SOLUTION 12602175 24.02.2016 8 SALMAN KHAN DUCEN-IT SOLUTION 12602215 24.02.2016 9 SUGACINI.B DUCEN-IT SOLUTION 12602501 GLOBAL SOFT SOLUTION S/W PVT 04.03.2016 10 ASHOK KUMAR.A LTD 12602108 GLOBAL SOFT SOLUTION S/W PVT 04.03.2016 11 DEEPIKA LTD 12602110 GLOBAL SOFT SOLUTION S/W PVT 04.03.2016 12 DHANASEKAR LTD 12602116 GLOBAL SOFT SOLUTION S/W PVT 04.03.2016 13 GANESH LTD
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12602144 GLOBAL SOFT SOLUTION S/W PVT 04.03.2016 14 MADHAN LTD 12602145 GLOBAL SOFT SOLUTION S/W PVT 04.03.2016 15 MANIKANDA PRABHU LTD 12602158 GLOBAL SOFT SOLUTION S/W PVT 04.03.2016 16 PRABHAKARAN LTD 12602209 GLOBAL SOFT SOLUTION S/W PVT 04.03.2016 17 SINDHU BHARATHI.C.G LTD 12602219 GLOBAL SOFT SOLUTION S/W PVT 04.03.2016 18 TAMILARASU.E LTD 12602224 GLOBAL SOFT SOLUTION S/W PVT 04.03.2016 19 VENGALRAO.Y LTD 12602234 GLOBAL SOFT SOLUTION S/W PVT 04.03.2016 20 YUVARANI.S LTD 12602101 GLOBAL SOFT ABINANDH SOLUTION S/W PVT 04.03.2016 21 LTD 12602102 GLOBAL SOFT ALEX SOLUTION S/W PVT 04.03.2016 22 LTD 12602104 GLOBAL SOFT ASHWIN SOLUTION S/W PVT 04.03.2016 23 LTD 12602107 GLOBAL SOFT DEEPA SOLUTION S/W PVT 04.03.2016 24 LTD 12602109 GLOBAL SOFT DEVARAJ SOLUTION S/W PVT 04.03.2016 25 LTD 12602113 HTC GLOBAL 21.03.2016 26 DILIP KUMAR TIWRI SOLUTIONS 12602123 HTC GLOBAL 21.03.2016 27 GUNISETTY SOLUTIONS 12602127 HTC GLOBAL 21.03.2016 28 HEMANTH SOLUTIONS 12602155 HTC GLOBAL 21.03.2016 29 NASEERALI SOLUTIONS 12602173 HTC GLOBAL 21.03.2016 30 REEGAN.J SOLUTIONS 12602222 HTC GLOBAL 21.03.2016 31 VAIKUNTH.R SOLUTIONS 12602226 HTC GLOBAL 21.03.2016 32 VENNILA.K SOLUTIONS 12602227 HTC GLOBAL 21.03.2016 33 VIGNESH.B SOLUTIONS 12602112 DHIVAKAR HTC GLOBAL 21.03.2016 34 SOLUTIONS 12602114 DINESH HTC GLOBAL 21.03.2016 35 SOLUTIONS 12602115 DIVYA HTC GLOBAL 21.03.2016 36 SOLUTIONS
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12602118 GAYATHRI HTC GLOBAL 21.03.2016 37 SOLUTIONS 12602120 GNANARAJ HTC GLOBAL 21.03.2016 38 SOLUTIONS 12602121 GOPALA KRISHNAN HTC GLOBAL 21.03.2016 39 SOLUTIONS
4.5. Professional Activities (20)
4.5.1. Professional societies/chapters and organizing engineering events (5)
Professional Societies
INSTITUTIONAL MEMBERSHIP Computer Society of India
Computer Society of India is the first and largest body of computer professionals in India.Under this society, Guest Lecture and conferences was conducted
NAME OF THE DATE DETAILS OF THE EVENT NAME OF THE CHIEF GUEST CHAPTER 27 Jan Guest Lecture- CSI Mr.Shankar Ramasamy 2014 Inaguration Consultant Computer Society of India 9 & 10 International Conference on Dr.P.Sivakumar, Director,CVRDE, Avadi, Mar Knowledge Discovery and Dr.Jaak Truu,& Dr.Marika Truu, University of 2017 Computational Intelligence Tartu ICKDCI 2017 Dr.S.Venugopal, IGCAR, Mr.Santosh Gopynadhan, Director Product CSI Management, The Advisory Board Company,
Mr.Krishnan, Scientist, IGCAR, Kalpakkam. 8 Jan All about time complexity of Dr.Jeyakesavan, University of Texas, Dallas,USA 2016 Algorithm International Conference on Dr.K.Balaraman, Director General, NIWE 5 & 6 Current Trends in Data Dr.Kenneth Sundaraj, Faculty of ECE, Universiti Apr Science and Virtualization Teknikal Melaka, Malaysia 2018 Dr.M.BalasubramanyamDirector Research, Madras Diabetes Research Foundation
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4.5.2. Publication of technical magazines, newsletters, etc. (5)
S.No Name of the News letter Volume Issue Year 1. I 1 2016 2. II 2 2016 3. VISTAS CSE TALK I 3 2017 4. II 4 2017 5. I 5 2018 6 II 6 2018
4.5.3 Participation in inter-institute events by students of the program of study (10)
(The Department shall provide a table indicating those publications, which received awards in the events/conferences organized by other institutes)
Co-curricular activities and Extra-curricular activities: (2018-2019) Student Prize/Partici S.No Date Event Title Event Place Name pation S.R.Rudus National Conference on Vel Tech Rangarajan Participation h 29.03.2019- Emerging Computing Dr.Sagunthala R&D 1 Sudarsha 30.03.2019 Technologies and Institute of Science and n Applications Technology Participation 02.03.2019- Workshop on Cyber Azure Skynet Solutions 2 N.Yuvaraj 03.03.2019 Security Pvt. Ltd., Hyderabad
First Prize Euphoria’19 – Capture the PSG College of Arts & 3 S.Sairam 02.03.2019 Frame Science, Coimbatore.
Second Prize KPR Institute of 02.03.2019 - MEETUP 3.0 - 4 S.Sairam Engineering and 03.03.2019 Photography Technology, Coimbatore.
First Prize KPR Institute of 02.03.2019 - 5 S.Sairam MEETUP 3.0 - Dance Engineering and 03.03.2019 Technology, Coimbatore.
Participation International Conference St.Peter’s Institute of R.Soundar 27.02.2019- 6 on Cognitive Computing Higher Education and ya 28.02.2019 and BigData Analytics Research
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Participation International Conference St.Peter’s Institute of Mohana 27.02.2019- 7 on Cognitive Computing Higher Education and Priyanka 28.02.2019 and BigData Analytics Research
Participation International Conference St.Peter’s Institute of 27.02.2019- 8 K.Kirthika on Cognitive Computing Higher Education and 28.02.2019 and BigData Analytics Research
Cash Prize Short Term Training SRM Institute of Science 05.02.2019 - 9 V.Shreyas Program on Deep Learning and Technology, 09.02.2019 and its Applications Kattankulathur-603203
Participation International Conference
Srinivasal on New Trends in 10 22.12.2018 International Scientific u Bolla Engineering, Science and Research Organization Management Vishakapattinam, India International Conference Participation Phani on New Trends in International Scientific 11 22.12.2018 Kumar Engineering, Science and Research Organization Management Vishakapattinam, India Participated L.Naveen 26.07.2018- Indigram Labs Foundation, 12 Healthon’18 Jones 27.07.2018 New Delhi, India
Participated 26.07.2018- Indigram Labs Foundation, 13 Meenal Healthon’18 27.07.2018 New Delhi, India
Participated 26.07.2018- Indigram Labs Foundation, 14 Asuthosh Healthon’18 27.07.2018 New Delhi, India
(2017-2018)
Student Prize/ S.No Date Event Title Event Place Name Participation
31.01.2018 - 1 Bhavani IBM - Block Chain Anna University,Guindy Participation 03.02.2018
B. Generix 2018 -Certificate 2 26.02.2018 R.M.D Engineering College First Prize Akshaya of Merit
Mir Cambridge Certification Achievement 3 Mohamme 23.01.2018 Java Level 2 Qualification Authority Award d Taqi H. Mohamme 26.01.2018 - 11th Senior State Fistball Tamilnadu Fistball 4 Runners d Sayeed 28.01.2018 Championship Association Khan Lodi
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H. Mohamme 12.01.2018- 1st Senior State Fistball Tamilnadu Fistball 5 Winners d Sayeed 14.01.2018 Championship Association Khan Lodi Hanifer 31.01.2018 - 6 IBM - Block Chain Anna University,Guindy Participation Sangeetha 03.02.2018 Manoj 31.01.2018 - 7 IBM - Block Chain Anna University,Guindy Participation Kumar 03.02.2018 31.01.2018 - 8 Keshav IBM - Block Chain Anna University,Guindy Participation 03.02.2018 Shivendra 08.03.2018 - National Level Hackathon J.N.N Institute of 9 Participation Katiyar 09.03.2018 Programme Engineering Seed the Future-Save the Chennai Institute of 10 Faiz Khan 02.03.2018 Participation Farmers Technology Mohamme Seed the Future-Save the Chennai Institute of 11 d Sayeed 02.03.2018 Participation Farmers Technology Khan Mohamme Seed the Future-Save the Chennai Institute of 12 d Sayeed 02.03.2018 Participation Farmers Technology Khan R.Mohame 13 02.03.2018 Prayatna'18 MIT, Anna University Participation d Ibrahim International Conference Aadit 18.05.2018 - on Emerging Trends in Siam University, Bangkok, 14 Participation Narendar 19.05.2018 Engineering Research Thailand (ICETER’ 18) International Conference M.Trishira 18.05.2018 - on Emerging Trends in Siam University, Bangkok, 15 Participation j 19.05.2018 Engineering Research Thailand (ICETER’ 18) International Conference 18.05.2018 - on Emerging Trends in Siam University, Bangkok, 16 A.Saranya Participation 19.05.2018 Engineering Research Thailand (ICETER’ 18) International Conference K 18.05.2018 - on Emerging Trends in Siam University, Bangkok, 17 Participation Sudhakar 19.05.2018 Engineering Research Thailand (ICETER’ 18) International Conference A.Arockia 18.05.2018 - on Emerging Trends in Siam University, Bangkok, 18 Participation Ranjini 19.05.2018 Engineering Research Thailand (ICETER’ 18) International Conference 18.05.2018 - on Emerging Trends in Siam University, Bangkok, 19 Ajanya P Participation 19.05.2018 Engineering Research Thailand (ICETER’ 18) International Conference 18.05.2018 - on Emerging Trends in Siam University, Bangkok, 20 Abiramy.R Participation 19.05.2018 Engineering Research Thailand (ICETER’ 18) International Conference Banushri. 18.05.2018 - on Emerging Trends in Siam University, Bangkok, 21 Participation A 19.05.2018 Engineering Research Thailand (ICETER’ 18) Ashutosh December Distinguished Fellow Hasura Technologies Pvt. Achievement 22 Kumar 2017 - Award / Certificate of Ltd Award Panda Febraury Achivement
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2018 Santhosh 23 03.12.2017 Wipro Chennai Marathon Marina, Chennai Participation Shady Mir Cambridge Certification Achievement 24 Mohamme 17.12.2017 Java Level 1 Qualification Authority Award d Taqi A.Swetha Sri Sai Ram Institute of 25 09.08.2017 Coding & Debugging Participation Sai Technology, Chennai. P.Kusum Sri Sai Ram Institute of 26 09.08.2017 Google It & Debugging Participation Kumari Technology, Chennai. T.Santhos Paper Presentation & Sri Sai Ram Institute of 27 09.08.2017 Participation h Surprise Event Technology, Chennai. Paper Presentation & Sri Sai Ram Institute of 28 T.Vignesh 09.08.2017 Participation Surprise Event Technology, Chennai.
Google It & Sri Sai Ram Institute of 29 S.Suresh 09.08.2017 Participation Debugging Technology, Chennai.
Sai Google It & Sri Sai Ram Institute of 30 09.08.2017 Participation Paviratha Debugging Technology, Chennai.
Web Designing & Sri Sai Ram Institute of 31 E.Yogaraj 09.08.2017 Participation Surprise Event Technology, Chennai.
R.G.Ajay Web Designing & Sri Sai Ram Institute of 32 09.08.2017 Participation Barath Surprise Event Technology, Chennai.
Shrishti Google It & Sri Sai Ram Institute of 33 09.08.2017 Participation Dubey Debugging Technology, Chennai.
Santhosh 34 03.12.2017 Wipro Chennai Marathon Marina, Chennai Shady Participation
(2016-2017) S.N Student Prize/ Duration Event Title Event Place o Name Participation IEEE International Conference on Technical Adhiparasakthi Dhanveer 10.04.2017- 1 Advancements in Engineering College, Participation Ahamed 11.04.2017 Computers and Melmaruvathur Communication IEEE International Conference on Technical Adhiparasakthi Basith 10.04.2017- 2 Advancements in Engineering College, Participation Ahamed 11.04.2017 Computers and Melmaruvathur Communication IEEE International Conference on Technical Adhiparasakthi Mohame 10.04.2017- 3 Advancements in Engineering College, Participation d Aasif 11.04.2017 Computers and Melmaruvathur Communication IEEE International Adhiparasakthi S.Sivasan 10.04.2017- 4 Conference on Technical Engineering College, Participation kari 11.04.2017 Advancements in Melmaruvathur DEPT. OF COMPUTER VELS INSTITUTE OF SCIENCE, TECHNOLOGY 103 SCIENCE & ENGINEERING AND ADVANCED STUDIES (VISTAS)
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Computers and Communication IEEE International , Conference on Technical Adhiparasakthi 10.04.2017- 5 K.Sarany Advancements in Engineering College, Participation 11.04.2017 a Computers and Melmaruvathur Communication IEEE International Conference on Technical Adhiparasakthi 10.04.2017- 6 M.Suruthi Advancements in Engineering College, Participation 11.04.2017 Computers and Melmaruvathur Communication IEEE International Conference on Technical Adhiparasakthi VV.Shan 10.04.2017- 7 Advancements in Engineering College, Participation mathi 11.04.2017 Computers and Melmaruvathur Communication IEEE International Conference on Technical Adhiparasakthi Anand 10.04.2017- 8 Advancements in Engineering College, Participation suhas 11.04.2017 Computers and Melmaruvathur Communication IEEE International Adhiparasakthi Conference on Technical vimalnat 10.04.2017- Engineering 9 Advancements in Participation h 11.04.2017 10Colleg11e, Computers and Melmaruvathur Communication IEEE International Conference on Technical Adhiparasakthi Mohmme 10.04.2017- 10 Advancements in Engineering College, Participation d Ishath 11.04.2017 Computers and Melmaruvathur Communication IEEE International Conference on Technical Adhiparasakthi 10.04.2017- 11 T.Arthy Advancements in Engineering College, Participation 11.04.2017 Computers and Melmaruvathur Communication IEEE International Iyer Conference on Technical Adhiparasakthi 10.04.2017- 12 Sreesudh Advancements in Engineering College, Participation 11.04.2017 a Computers and Melmaruvathur Communication IEEE International Conference on Technical Adhiparasakthi G.Vasudh 10.04.2017- 13 Advancements in Engineering College, Participation arini 11.04.2017 Computers and Melmaruvathur Communication
Rajendra 01.06.2016- University of texas at 14 Internship Program Participation ni Bose 30.06.2016 Dallas, USA
Aashish 01.06.2016- University of texas at 15 Internship Program Participation Minj 30.06.2016 Dallas, USA
Soloman 15.09.2016 - 16 National Symposium VIT, Chennai. Participation David 17.09.2016
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Gokulnat 15.09.2016 - 17 National Symposium VIT, Chennai. Participation h.U 17.09.2016
IEEE International Conference on Technical Adhiparasakthi G. 20.10.2016- 18 Advancements in Engineering College, Participation Jayanthi 21.10.2016 Computers and Melmaruvathur Communication IEEE International Conference on Technical Adhiparasakthi G. 20.10.2016- 19 Advancements in Engineering College, Participation Krithika 21.10.2016 Computers and Melmaruvathur Communication
(2015 - 2016) Student Prize/Participa S.No Duration Event Title Event Place Name tion International conference on Jaya Engineering College 1 Prakash. M 07.05.2016 Advances in Emerging Participation Chennai Technology (ICAET 2016)
International conference on Jaya Engineering College 2 Nasar A 07.05.2016 Advances in Emerging Participation Chennai Technology (ICAET 2016)
International conference on Jaya Engineering College 3 Dinesh K 07.05.2016 Advances in Emerging Participation Chennai Technology (ICAET 2016)
International conference on Jaya Engineering College 4 Ganesh R 07.05.2016 Advances in Emerging Participation Chennai Technology (ICAET 2016)
IEEE International Conference 10.03.2016- Saveetha School of 5 PriyaMishra on Human Computer Participation 11.03.2016 Engineering Interactions (ICHCI'16)
IEEE International Conference 10.03.2016- Saveetha School of 6 J.Dhivya on Human Computer Participation 11.03.2016 Engineering Interactions (ICHCI'16)
A.R.Rahama National symposium- 7 16.09.2015 PERI Institute of Technology I n mathathon
National symposium- 8 M.Ragavan 16.09.2015 PERI Institute of Technology I mathathon R.Prithivi National symposium- 9 16.09.2015 PERI Institute of Technology I raj mathathon Siva National symposium- 10 16.09.2015 PERI Institute of Technology I Sundaram mathathon St.Joseph’s College of 11 M.Ragavan 08.09.2015 National symposium-Ping a Pic III Engineering M.Noorul 12 15.09.2015 National symposium-Quiz PERI Institute of Technology Participated Ameen
13 S.Janani 15.09.2015 National symposium-Quiz PERI Institute of Technology Participated
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14 V.Deepika 15.09.2015 National symposium-Quiz PERI Institute of Technology Participated
15 E.Kayalvizhi 15.09.2015 National symposium-Quiz PERI Institute of Technology Participated
14.09.2015 - Saveetha Engineering 16 E.Kayalvizhi Drestein’15 -Dubsmash Participated 16.09.2015 College 14.09.2015 - Saveetha Engineering 17 E.Kayalvizhi Drestein’15 – Clue Linker Participated 16.09.2015 College 14.09.2015 - Saveetha Engineering 18 E.Kayalvizhi Drestein’15 –Alma Fiesta Participated 16.09.2015 College 14.09.2015 - Saveetha Engineering 19 V.Deepika Drestein’15 -Dubsmash Participated 16.09.2015 College 14.09.2015 - Saveetha Engineering 20 S.Janani Drestein’15 – Clue Linker Participated 16.09.2015 College 14.09.2015 - Saveetha Engineering 21 S.Janani Drestein’15 –Alma Fiesta Participated 16.09.2015 College 14.09.2015 - Saveetha Engineering 22 S.Janani Drestein’15 -Dubsmash Participated 16.09.2015 College M.Noorul 14.09.2015 - Saveetha Engineering 23 Drestein’15 – Clue Linker Participated Ameen 16.09.2015 College M.Noorul 14.09.2015 - Saveetha Engineering 24 Drestein’15 –Alma Fiesta Participated Ameen 16.09.2015 College M.Noorul 14.09.2015 - Saveetha Engineering 25 Drestein’15 -Dubsmash Participated Ameen 16.09.2015 College
C.H.Pawan National Level Program Saveetha Engineering 26 11.05.2015 Participated Chand on”Java Web service” College
Y.Y.Sai National Level Program Saveetha Engineering 27 11.05.2015 Participated Kumar on”Java Web service” College
National Level Program Saveetha Engineering 28 P.Ranjith 11.05.2015 Participated on”Java Web service” College
S.R.Rohith National Level Program Saveetha Engineering 29 11.05.2015 Participated Ready on”Java Web service” College
M.K.Ashwin National Symposium- SSN college of 30 01.09.2015 Participated kumar Paradigm Engineering
M.Salman National Symposium- SSN college of 31 01.09.2015 Participated khan Paradigm Engineering
National Symposium- SSN college of 32 A.R.Rahman 01.09.2015 Participated Paradigm Engineering
R.Praveen National Symposium- SSN college of 33 01.09.2015 Participated raj Paradigm Engineering
E.Tamilaras National Symposium- SSN college of 34 01.09.2015 Participated u Paradigm Engineering
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Sri Venkateswara 35 M.Ragavan 03.09.2015 National Symposium College of Participated Engineering
Sri Venkateswara 36 A.R.Rahman 03.09.2015 National Symposium College of Participated Engineering
Sri Venkateswara M.Salman 37 03.09.2015 National Symposium College of Participated khan Engineering
Sri Venkateswara M.K.Ashwin 38 03.09.2015 National Symposium College of Participated kumar Engineering
Sri Venkateswara 39 S.Vimal 03.09.2015 National Symposium College of Participated Engineering
Sri Venkateswara 40 Prithiviraj 03.09.2015 National Symposium College of Participated Engineering
Siva National Symposium- 41 16.09.2015 PERI Institute of Technology First Prize Sundaram mathathon
A.R. National Symposium- 42 16.09.2015 PERI Institute of Technology First Prize Rahaman mathathon
National Symposium- Ping a 43 M.Ragavan 16.09.2015 PERI Institute of Technology Third Prize pic
Dhanalakshmi National Symposium- 44 R.Deepa 27.08.2015 College of Participated Debugging Engineering
Dhanalakshmi National Symposium- 45 Devaraj 27.08.2015 College of Participated Debugging Engineering
Dhanalakshmi G.Manikand National Symposium- 46 27.08.2015 College of Participated a Prabu Debugging Engineering
Dhanalakshmi National Symposium- 47 A.Abhinath 27.08.2015 College of Participated Debugging Engineering
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Dhanalakshmi A.Kumarave National Symposium- 48 27.08.2015 College of Participated l Debugging Engineering
Dhanalakshmi National Symposium- 49 S.Vimal 27.08.2015 College of Participated Debugging Engineering
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Faculty Information and Contributions CRITERION - 5 200
Academic Year: 2018 – 2019 Academic Qualification Research
Name of the
S.No
Faculty Member
Paper Paper
Faculty Receiving Ph.D. Ph.D. Receiving Faculty the Assessment during Years
Ph.D. Guidance Ph.D.
Specialization (Y/N)Date Associated Currently Currently case of Leaving is(“No”) Associated the of Name Association(Regular/Contract)
Research Research Publications
Department
Degree(Highest degree) Degree(Highest University Passing(Highest Year of Qualification) the Institution with Association Designation as which Designated Date on Professor Professor/Associate the Institution Joining Date of
Sathyabama Embedded 1 Dr. P. Swaminathan Ph.D 2009 Y Professor 02-05-2016 02-05-2016 CSE NO Y Regular University Systems 4 -
Universiti Associate Artificial 2 Dr.S.Arun Ph.D Malaysia 2013 Y 27-01-2014 27-01-2014 CSE NO Y Regular Professor Intelligence 7 8 Perlis
M.E., Vels Assistant Image 3 Ms.K.Kalaivani 2012 Y 01-05-2012 31-07-2009 CSE 9 NO Y Regular (Ph.D) university Professor Processing -
8
Karpagam Associate Computer 4 Dr. N. Kumar Ph.D 2015 Y 05-10-2015 05-10-2015 CSE 21 NO Y Regular University Professor Networks 8
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Bharath Institute of Higher Artificial 5 Dr. R.Anandan Ph.D 2015 Y Professor 05-09-2018 1-7-2016 CSE NO Y Regular Education Intelligence 24 8 and Research
Noorul Associate Cloud 6 Dr.R.A. Karthika Ph.D Islam 2015 Y 01-09-2017 1-7-2016 CSE 10 8 NO Y Regular Professor Computing University
M.E., Vels Assistant Computer 7 Ms. A.Saritha 2012 Y 15-07-2009 15-07-2009 CSE 2 - NO Y Regular (Ph.D) university Professor Networks
M.E., Anna Assistant Image 8 Ms.K.S. Archana 2010 Y 28-06-2010 28-06-2010 CSE 2 NO Y Regular (Ph.D) University Professor Processing -
M.E., Anna Assistant Image 9 Ms.M.Latha 2011 Y 27-06-2011 27-06-2011 CSE 2 - NO Y Regular (Ph.D) University Professor Processing
Wireless M.E., Anna Assistant 10 Ms.S.Sridevi 2011 Y 27-06-2011 27-06-2011 CSE Sensor 3 - NO Y Regular (Ph.D) University Professor Networks
M.E., Annamalai Assistant Image 11 Mr.A.Sajeevram 2011 Y 27-06-2011 27-06-2011 CSE 4 - NO Y Regular (Ph.D) University Professor Processing
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M.E., Vels Assistant 12 Ms.K.UlagaPriya 2014 Y 02-01-2012 02-01-2012 CSE Data Analytics 4 - NO Y Regular (Ph.D) university Professor
M.E., St. Peters Assistant 13 Mr.C.Swaraj Paul 2011 Y 21-06-2012 21-06-2012 CSE Data Mining 1 - NO Y Regular (Ph.D) University Professor
M.E., Anna Assistant Bio 14 Mr.J. Senthil Kumar M.B.A., 2011 Y 25-06-2012 25-06-2012 CSE 2 - NO Y Regular University Professor informatics (Ph.D)
M.E., Anna Assistant Cloud 15 Ms.P.Sheela Gowr 2010 Y 06-08-2012 06-08-2012 CSE 2 - NO Y Regular (Ph.D) University Professor Computing
M.Tech Bs. Abdul Mr. Shaik Javed Assistant Big Data 16 ., Rahman 2011 Y 26-06=2012 26-06=2012 CSE 2 - NO Y Regular Parvez Professor Analytics (Ph.D) University
Vinayaka M.E., Assistant Vehicular 17 Ms.G.Bindu Mission 2011 Y 02-02-2015 02-02-2015 CSE 2 - NO Y Regular (Ph.D) Professor Networks University
M.E., Anna Assistant Social Network 18 Ms.U.V.Anbazhagu 2011 Y 20-07-2015 20-07-2015 CSE 7 - NO Y Regular (Ph.D) University Professor Mining
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M.E., Anna Assistant Big Data 19 Mr.A.Manikandan 2012 Y 17-02-2017 07-07-2015 CSE 1 - NO Y Regular (Ph.D) University Professor Analytics
M.E., Anna Assistant Soft 20 Mr.R.Balakrishna 2013 Y 17-02-2017 20-01-2014 CSE 9 - NO Y Regular (Ph.D) University Professor Computing
Avinashiling M.E., Assistant 21 Mrs. K.M. Monica am 2014 Y 01-07-2017 01-07-2017 CSE Data Mining 2 - NO Y Regular (Ph.D) Professor University
M.E., Anna Assistant Computer 22 Mrs. Geofrin Shirly.s 2011 Y 30-12-2010 30-12-2010 CSE 2 - NO Y Regular (Ph.D) University Professor Networks
Mrs.Parvathavarthi M.E., Anna Assistant Computer 23 2013 Y 15-11-2013 15-11-2013 CSE 3 - NO Y Regular ni (Ph.D) University Professor Networks
M.E., SRM Assistant Cloud 24 Mrs.Banushri.A 2008 Y 04-08-2016 04-08-2016 CSE 5 - NO Y (Ph.D) University Professor Computing Regular
M.E., Anna Assistant Big Data 25 Mr. Thirumal 2011 Y 28-06-2018 28-06-2018 CSE 6 - NO Y Regular (Ph.D) University Professor Analytics
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Academic year 2017-2018
Academic
Qualification Research
Name of the S.No
Faculty Member
Receiving Ph.D. Ph.D. Receiving
Faculty Faculty the Assessment during Years
Ph.D. Guidance Ph.D.
Specialization Associated Currently case Leaving of (Y/N)Date is(“No”) Associated Currently the of Name Association(Regular/Contract)
Department
Degree(Highest degree) Degree(Highest University Passing(Highest Year of Qualification) the Institution with Association Designation as which Designated Date on Professor Professor/Associate the Institution Joining Date of Paper Research Publications
Sathyabama Embedded 1 Dr. P. Swaminathan Ph.D 2009 Y Professor 02-05-2016 02-05-2016 CSE 5 - NO Y Regular University Systems
Universiti Associate Artificial 2 Dr.S.Arun Ph.D Malaysia 2013 Y 27-01-2014 27-01-2014 CSE 6 8 NO Y Regular Professor Intelligence Perlis
M.E., Vels Assistant Image 3 Ms.K.Kalaivani 2012 Y 01-05-2012 31-07-2009 CSE 8 NO Y Regular (Ph.D) university Professor Processing -
8 Karpagam Associate Computer 4 Dr. N. Kumar Ph.D 2015 Y 05-10-2015 05-10-2015 CSE 4 8 NO Y Regular University Professor Networks
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8 Bharath
Institute of
Higher Artificial 5 Dr. R.Anandan Ph.D 2015 Y Professor 05-09-2018 1-7-2016 CSE 8 8 NO Y Regular Education Intelligence
and
Research
Noorul Associate Cloud 6 Dr.R.A. Karthika Ph.D Islam 2015 Y 01-09-2017 1-7-2016 CSE 6 6 NO Y Regular Professor Computing University
M.E., Vels Assistant Computer 7 Ms. A.Saritha 2012 Y 15-07-2009 15-07-2009 CSE 5 NO Y Regular (Ph.D) university Professor Networks -
M.E., Anna Assistant Image 8 Ms.K.S. Archana 2010 Y 28-06-2010 28-06-2010 CSE 9 NO Y Regular (Ph.D) University Professor Processing -
M.E., Anna Assistant Image 9 Ms.M.Latha 2011 Y 27-06-2011 27-06-2011 CSE 4 - NO Y Regular (Ph.D) University Professor Processing
Wireless M.E., Anna Assistant 10 Ms.S.Sridevi 2011 Y 27-06-2011 27-06-2011 CSE Sensor 3 - NO Y Regular (Ph.D) University Professor Networks
M.E., Annamalai Assistant Image 11 Mr.A.Sajeevram 2011 Y 27-06-2011 27-06-2011 CSE 4 - NO Y Regular (Ph.D) University Professor Processing
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M.E., Vels Assistant 12 Ms.K.UlagaPriya 2014 Y 02-01-2012 02-01-2012 CSE Data Analytics 4 - NO Y Regular (Ph.D) university Professor
M.E., St. Peters Assistant 13 Mr.C.Swaraj Paul 2011 Y 21-06-2012 21-06-2012 CSE Data Mining 5 - NO Y Regular (Ph.D) University Professor
M.E., Anna Assistant Bio 14 Mr.J. Senthil Kumar M.B.A., 2011 Y 25-06-2012 25-06-2012 CSE 3 - NO Y Regular University Professor informatics (Ph.D)
M.E., Anna Assistant Cloud 15 Ms.P.Sheela Gowr 2010 Y 06-08-2012 06-08-2012 CSE 7 - NO Y Regular (Ph.D) University Professor Computing
M.Tech Bs. Abdul Mr. Shaik Javed Assistant Big Data 16 ., Rahman 2011 Y 26-06=2012 26-06=2012 CSE 6 - NO Y Regular Parvez Professor Analytics (Ph.D) University
Vinayaka M.E., Assistant Vehicular 17 Ms.G.Bindu Mission 2011 Y 02-02-2015 02-02-2015 CSE 3 - NO Y Regular (Ph.D) Professor Networks University
M.E., Anna Assistant Social Network 18 Ms.U.V.Anbazhagu 2011 Y 20-07-2015 20-07-2015 CSE 5 - NO Y Regular (Ph.D) University Professor Mining
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M.E., Anna Assistant Big Data 19 Mr.A.Manikandan 2012 Y 17-02-2017 07-07-2015 CSE 1 - NO Y Regular (Ph.D) University Professor Analytics
M.E., Anna Assistant Soft 20 Mr.R.Balakrishna 2013 Y 17-02-2017 20-01-2014 CSE 5 - NO Y Regular (Ph.D) University Professor Computing
Avinashiling M.E., Assistant 21 Mrs. K.M. Monica am 2014 Y 01-07-2017 01-07-2017 CSE Data Mining 4 - NO Y Regular (Ph.D) Professor University
M.E., Anna Assistant Computer 22 Mrs. Geofrin Shirly.s 2011 Y 30-12-2010 30-12-2010 CSE 3 - NO Y Regular (Ph.D) University Professor Networks
Mrs.Parvathavarthi M.E., Anna Assistant Computer 23 2013 Y 15-11-2013 15-11-2013 CSE - - NO Y Regular ni (Ph.D) University Professor Networks
M.E., SRM Assistant Cloud 24 Mrs.Banushri.A 2008 Y 04-08-2016 04-08-2016 CSE 7 - NO Y (Ph.D) University Professor Computing Regular
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Academic year 2016-2017
Academic Qualification Research
Name of the
S.No Faculty Member
Faculty Receiving Ph.D. Ph.D. Receiving Faculty the Assessment during Years
Ph.D. Guidance Ph.D.
Specialization (Y/N)Date Associated Currently Currently case of Leaving is(“No”) Associated the of Name Association(Regular/Contract)
Department
Degree(Highest degree) Degree(Highest University Passing(Highest Year of Qualification) the Institution with Association Designation as which Designated Date on Professor Professor/Associate the Institution Joining Date of Publications Paper Research
Sathyabama Embedded 1 Dr. P. Swaminathan Ph.D 2009 Y Professor 02-05-2016 02-05-2016 CSE 10 3 NO Y Regular University Systems
8 Universiti Associate Artificial 2 Dr.S.Arun Ph.D Malaysia 2013 Y 27-01-2014 27-01-2014 CSE 6 8 NO Y Regular Professor Intelligence Perlis
M.E., Vels Assistant Image 3 Ms.K.Kalaivani 2012 Y 01-05-2012 31-07-2009 CSE 7 - NO Y Regular (Ph.D) university Professor Processing
Karpagam Associate Computer 4 Dr. N. Kumar Ph.D 2015 Y 05-10-2015 05-10-2015 CSE 8 7 NO Y Regular University Professor Networks
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Bharath Institute of Artificial 5 Dr. R.Anandan Ph.D Higher 2015 Y Professor 05-09-2018 1-7-2016 CSE 9 6 NO Y Regular Intelligence Education and Research
Noorul Islam Associate Cloud 6 Dr.R.A. Karthika Ph.D 2015 Y 01-09-2017 1-7-2016 CSE - NO Y Regular University Professor Computing 3
M.E., Vels Assistant Computer 7 Ms. A.Saritha 2012 Y 15-07-2009 15-07-2009 CSE 1 - NO Y Regular (Ph.D) university Professor Networks
M.E., Anna Assistant Image 8 Ms.K.S. Archana 2010 Y 28-06-2010 28-06-2010 CSE 1 - NO Y Regular (Ph.D) University Professor Processing
M.E., Anna Assistant Image 9 Ms.M.Latha 2011 Y 27-06-2011 27-06-2011 CSE 1 NO Y Regular (Ph.D) University Professor Processing -
- Wireless M.E., Anna Assistant 10 Ms.S.Sridevi 2011 Y 27-06-2011 27-06-2011 CSE Sensor 2 - NO Y Regular (Ph.D) University Professor Networks
-
M.E., Annamalai Assistant Image 11 Mr.A.Sajeevram 2011 Y 27-06-2011 27-06-2011 CSE 1 - NO Y Regular (Ph.D) University Professor Processing
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-
M.E., Vels Assistant 12 Ms.K.UlagaPriya 2014 Y 02-01-2012 02-01-2012 CSE Data Analytics 4 - NO Y Regular (Ph.D) university Professor
M.E., St. Peters Assistant 13 Mr.C.Swaraj Paul 2011 Y 21-06-2012 21-06-2012 CSE Data Mining 1 - NO Y Regular (Ph.D) University Professor
- M.E., Anna Assistant Bio 14 Mr.J. Senthil Kumar M.B.A., 2011 Y 25-06-2012 25-06-2012 CSE 2 - NO Y Regular University Professor informatics (Ph.D)
-
M.E., Anna Assistant Cloud 15 Ms.P.Sheela Gowr 2010 Y 06-08-2012 06-08-2012 CSE 1 - NO Y Regular (Ph.D) University Professor Computing
-
M.Tech Bs. Abdul Mr. Shaik Javed Assistant Big Data 16 ., Rahman 2011 Y 26-06=2012 26-06=2012 CSE 1 - NO Y Regular Parvez Professor Analytics (Ph.D) University
-
Vinayaka M.E., Assistant Vehicular 17 Ms.G.Bindu Mission 2011 Y 02-02-2015 02-02-2015 CSE 1 - NO Y Regular (Ph.D) Professor Networks University
-
M.E., Anna Assistant Social Network 18 Ms.U.V.Anbazhagu 2011 Y 20-7-2015 20-7-2015 CSE 1 - NO Y Regular (Ph.D) University Professor Mining
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M.E., Anna Assistant Big Data 19 Mr.A.Manikandan 2012 Y 17-02-2017 07-07-2015 CSE 3 - NO Y Regular (Ph.D) University Professor Analytics
-
M.E., Anna Assistant Soft 20 Mr.R.Balakrishna 2013 Y 17-02-2017 20-01-2014 CSE 2 - NO Y Regular (Ph.D) University Professor Computing
-
M.E., Avinashilinga Assistant 21 Mrs. K.M. Monica 2014 Y 01-07-2017 01-07-2017 CSE Data Mining 1 - NO Y Regular (Ph.D) m University Professor
M.E., Anna Assistant Computer 22 Mrs. Geofrin Shirly.s 2011 Y 30-12-2010 30-12-2010 CSE 2 - NO Y Regular (Ph.D) University Professor Networks
Mrs.Parvathavarthi M.E., Anna Assistant Computer 23 2013 Y 15-11-2013 15-11-2013 CSE - - NO Y Regular ni (Ph.D) University Professor Networks
M.E., SRM Assistant Cloud 24 Mrs.Banushri.A 2008 Y 04-08-2016 04-08-2016 CSE - - NO Y (Ph.D) University Professor Computing Regular
Table 5
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5.1. Student-Faculty Ratio (SFR) (20)
No. of UG Programs in the Department (n): 02 No. of PG Programs in the Department (m): 01
B.E (CSE) No. of Students in UG 2nd Year= 91 No. of Students in UG 3rd Year= 106 No. of Students in UG 4th Year= 83 B.Tech (IT) No. of Students in UG 2nd Year= 34 No. of Students in UG 3rd Year= 37 M.E (CSE) No. of Students in PG 1st Year= 9 No. of Students in PG 2nd Year= 18
No. of Students = Sanctioned Intake + Actual admitted lateral entry students S=Number of Students in the Department = UG1+UG2+UG3+PG1+PG2 F = Total Number of Faculty Members in the Department (excluding first year faculty)
Student Faculty Ratio (SFR) = S / F
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CAY CAYm1 CAYm2 Year (2018-2019) (2017-2018) (2016-2017) B.E(CSE) u1.1(No. of Students in UG 2nd Year) 97 97 76 u1.2(No. of Students in UG 3rd Year) 106 76 44 u1.3(No. of Students in UG 4th Year) 83 44 61 UG1(u1.1+u1.2+u1.3) 286 217 181 B.Tech(IT) u2.1(No. of Students in UG 2nd Year) 34 33 - u2.2(No. of Students in UG 3rd Year) 37 37 45 UG2 (u1.1+u1.2) 71 70 45 M.E(CSE) p1.1 9 9 11 p1.2 18 9 9 PG1(p1.1+ p1.2) 27 18 20 Total No. of Students in the 384 305 246 Department (S)(UG1+UG2+PG1) No. of Faculty in the 22 21 21 Department (F) Student Faculty Ratio (SFR)(SFR=S/F) 17.45 14.52 11.71 Average SFR 14.56 SFR=(SFR1+SFR2+SFR3)/3 Table 5.1
5.1.1. Provide the information about the regular and contractual faculty as per the format mentioned below:
Total number of regular faculty Total number of contractual in the department faculty in the department CAY (2018 - 2019) 25 - CAYm1(2017-2018) 24 - CAYm2(2016-2017) 24 -
Table 5.1.1
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5.2. Faculty Cadre Proportion (20)
The reference Faculty cadre proportion is 1(F1):2(F2):6(F3)
F1: Number of Professors required = 1/9 x Number of Faculty required to comply with 20:1 Student-Faculty ratio based on no. of students (N) as per 5.1
F2: Number of Associate Professors required = 2/9 x Number of Faculty required to comply with 20:1 Student-Faculty ratio based on no. of students (N) as per 5.1
F3: Number of Assistant Professors required = 6/9 x Number of Faculty required to comply with 20:1 Student-Faculty ratio based on no. of students (N) as per 5.1 Professors Associate Professors Assistant Professors
Year Required F1 Available Required F2 Available Required F3 Available
CAY (2018 - 2019) 3 2 6 3 17 20
CAYm1 (2017-2018) 3 1 6 4 17 19
CAYm2 (2016-2017) 3 1 6 4 17 19
Average RF1=3 AF1=1.33 RF2=6 AF2=3.66 RF3=17 AF3=19.33 Numbers
Table B.5.2
Cadre Ratio Marks = ((AF1/RF1) + (AF2 x 0.6/RF2) + (AF3 x 0.4/RF3)) x 10 = ((1.33/3) + (3.66 x 0.6/6) + (19.33/17)) x 10 = ((0.44) + (0.36) + (1.13)) x 10 =19.3
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5.3. Faculty Qualification (20) FQ = 2.0 x [(10X +4Y)/F)] where x is no. of regular faculty with Ph.D., Y is no. of regular faculty with M. Tech., F is no. of regular faculty required to comply 20:1 Faculty Student ratio (no. of faculty and no. of students required are to be calculated as per 5.1)
X Y F FQ = 2.0 x [(10X +4Y)/F)]
CAY (2018-2019) 5 20 25 10.4
CAYm1 (2017-2018) 5 19 24 10.08
CAYm2 (2016-2017) 5 19 24 10.08
Average Assessment 10.18
Table 5.3.
5.4. Faculty Retention (10) No. of regular faculty members in
CAYm2(2016-2017)=24 CAYm1(2017-2018)=24 CAY(2018-2019)=25
5.5. Faculty competencies in correlation to Program Specific Criteria (10)
Specialization
Name of the Faculty Degree(Highest No. of S. No Designation Specialization Member degree) Publications Embedded Systems, 1 Dr. P. Swaminathan Ph.D., Professor Operating Systems, 19 Digital Electronics. Transportation Safety, Driver Assistance System, Artificial Intelligence, Associate 2 Dr.S.Arun Ph.D Biomedical Signal 19 Professor and Image Processing, Cloud Computing and 'Big Data Analytics
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Data Mining & Warehousing, Big Data M.E., Assistant 3 Ms.K.Kalaivani Analytics, Image 24 (Ph.D) Professor Processing
Computer Network, Mobile Ad hoc Networks, Wireless Sensor Networks, Associate Network 4 Dr. N. Kumar Ph.D 33 Professor Security, Cloud Computing, Data Mining and Image Processing
Artificial Intelligence, Mainframes, Data Mining & 5 Dr.R.Anandan Ph.D Professor Warehousing, Mobile 41 Computing, Big Data Analytics, Image Processing Associate Cloud Computing, 6 Dr.R.A. Karthika Ph.D 16 Professor Networking, IoT Computer Networks, M.E., Assistant Mobile Adhoc Network 7 Ms.A.Saritha 8 (Ph.D) Professor and Software Engineering Image Processing, Assistant 8 Ms.K.S. Archana M.E., (Ph.D) Computer Network , 12 Professor Cloud Computing Image Processing, Assistant 9 Ms.M.Latha M.E., (Ph.D) Computer Network and 7 Professor Software Engineering Wireless Sensor Assistant Networks, Compiler 10 Ms.S.Sridevi M.E., (Ph.D) 8 Professor Design and Computer Network Medical Image Assistant 11 Mr.A.Sajeevram M.E., (Ph.D) Processing, Software 9 Professor Engineering, Data Analytics, Assistant 12 Ms.K.UlagaPriya M.E., (Ph.D) Machine Learning and 12 Professor Software Engineering Data Mining, Data Assistant 13 Mr.C.Swaraj Paul M.E., (Ph.D) Structures and Cloud 7 Professor Computing M.E., M.B.A., Assistant Bio informatics, Image 14 Mr.J. Senthil Kumar 7 (Ph.D) Professor Processing 15 Ms.P.SheelaGowr M.E., Assistant Cloud Computing, 10
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(Ph.D) Professor Image Processing Assistant Big Data Analytics, 16 Mr.ShaikJavedParvez M.Tech., (Ph.D) 9 Professor Cloud computing Assistant Vehicular Networks, 17 Ms.G.Bindu M.E., (Ph.D) 6 Professor Data Structures Social Network Mining, Big Data Analytics, M.E., Assistant 18 Ms.U.V.Anbazhagu Data Mining & 13 (Ph.D) Professor Warehousing,, Computer Networks M.E., Assistant Big Data Analytics, 19 Mr.A.Manikandan 5 (Ph.D) Professor Cloud Computing M.E., Assistant Soft Computing, Image 20 Mr.R.Balakrishna 16 (Ph.D) Professor processing M.E., Assistant Data Mining, Big Data 21 Mrs. K.M. Monica 7 (Ph.D) Professor Analytics, M.E., Assistant Computer Networks, 22 Mrs.GeofrinShirly.s 7 (Ph.D) Professor Big data M.E., Assistant Computer Networks, 23 Mrs.Parvathavarthini 3 (Ph.D) Professor Software Engineering M.E., Assistant Cloud Computing 24 Mrs.Banushri.A 12 (Ph.D) Professor ,Computer Network M.E., Assistant Big Data Analytics, 25 Mr.Thirumal 6 (Ph.D) Professor Cloud Computing
Research Publications
Journal Publication Details
Journal Publications Year Total Scopus Google Scholar 2018-2019 61 47 108
2017-2018 45 2 47
2016-2017 9 13 22
Total 115 62 177
Course Developments
Notes of lesson PPT Slides EduTech Relevant MOOC Course Developing Video Lectures Publishing books by department faculty
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5.6. Innovations by the Faculty in Teaching and Learning (20)
Mode of teaching in this institute is not only limited to traditional chalk and talk methods but also an amalgamation of modern technology.
• All the MOOC open courses, MHRD’S, Swayam, NPTEL, UGC-INFONET Digital Library Consortium and NDL are available under VISTAS Knowledge Resource Centre for Student Centric Teaching-Learning Process. • The process of teaching extended to the social networking sites where teachers and students interact over the instructions taught in the class rooms. • VISTAS is a Wifi enabled campus to avail all the e resources of the central library from the class room itself. • VISTAS is equipped with Video Conferencing Facility in order to have a live interaction with industrial experts and faculties members from other universities. • NPTEL video Lectures are available in the Department where the students can access to Learning materials at any time. • The students are also exposed to online EDUSAT courses by the subject experts. • The course materials are distributed among the students by the subject faculty well in advance of the commencement of class. • Faculties share the study materials among students via email, websites etc. • Students are encouraged to access various forms of e-materials for their self development. • Quick access to the learning material like hosting of the PPTs and course material on website and MOODLE are used to help educators easily create quality online courses helps students to learn the concepts at their convenient time. Using Moodle we can maintain and share all the course files, video lessons, gate questions, text books and reference books online for all subjects of the semester. At the same time the student’s performance can be evaluated in laboratory subjects using Moodle. • Guest Lectures are conducted by inviting eminent persons from Industry and Academics • Alumni students are invited for technical talk and interact with the students. • Conduct of remedial /backlog classes and special classes for slow learners so as to improve the learning skills of the student.
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• Use of modern teaching aids like LCD projectors, lecture capturing system (LCS), Wireless Keyboard and mouse, Wireless Presenter, USB wireless pen mouse, Wi- Fi enabled laptops are usually employed in classrooms and other student learning environments. • Lecture Capture system is an automated audio-video recording solution for class room lectures. • Students can post questions anytime through discussion forum. • Arranging live Webinars by foreign and eminent professors. Displaying videos which effectively communicate working of actual engineering solutions. • We have uploaded training methods, teaching aids, tools, PPT presentation, case studies and manuals in our Intranet portal facility website which can develop the student’s and leads to self learning. • Smart Class room facilities are provided to students for the better understanding of concepts. • The mentor motivates their respective Group and ensures each and every member of the group excels both in academics and placement. • Student Seminars and workshops are conducted which improves their communication and learning skills. • The biggest resource of self learning is out institute library where it houses numerous books by eminent national and international authors on a variety of topics • The library also subscribes to a host of online and printed journals which are also made readily available to the students.
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5.7. Faculty as participants in Faculty development/ training activities /STTPs (15)
Name of the Faculty Max. 5 per Faculty CAYm2 CAYm1 CAY (2016-17) (2017-18) (2018-19) Dr.S.Arun 5 5 3 Dr.N.Kumar 5 5 3 Dr. R. Anandan 5 5 3 Dr. R. A. Karthika 5 5 3 Ms.K.Kalaivani 5 5 3 Ms.A.Saritha 5 5 3 Ms. K. S. Archana 5 5 3 Ms. M. Latha 5 5 3 Mr. A. Sajeev Ram 5 5 3 Ms. S. Sridevi 5 5 3 Ms. K. Ulagapriya 5 5 5 Mr. J. Senthil Kumar 5 5 5 Mr. C. Swaraj Paul 5 5 3 Mr. Shaik Javed Parvez 5 5 3 Ms. P. Sheela Gowr 5 5 3 Ms. S. Geofrin Shirly 5 5 NA Mr. R. Balakrishna 5 5 - Ms. G. Bindu 5 5 3 Mr. A. Manikandan 5 5 3 Ms. U.V. Anbazhagu 5 5 3 Ms. K.M. Monica NA 3 3 Mr.S.Thirumal NA NA - SUM 100 103 61 RF 24 24 25 Assessment=3 x (sum/0.5 RF) 25 24.72 14.64 Average assessment over last three years 21.45
5.8. Research and Development 5.8.1. Academic Research (20 Marks)
Number of quality publications in refereed/SCI Journals, citations, Books/Book Chapters etc. (15 Marks)
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Books/Book Chapter:
ISBN/ISSN Affiliating Title of the Name of Year of number of Institute at book/chapters Author Name the publication the the time of published publisher proceeding publication
Vels institute of Science, ENAS Software 978-93-86- Technology and Dr.R.Anandan 2018 Publication, Engineering 891-03-7 Advanced Bangalore Studies (VISTAS) Vels institute of Science, Born fring Advanced Java 978-93-87- Technology and Dr.R.Anandan 2018 Publication, Programming 862-42-5 Advanced Coimbatore Studies (VISTAS) Vels institute of Regression and Science, Dr.R.Anandan Akinik Classification in 978-93- Technology and and 2018 Punlication, Machine 5335-124-3 Advanced Mrs.K.Kalaivani New Delhi Learning Studies (VISTAS)
Journal Publication Details
Journal Publications Year Google Scholar Total Scopus Indexed Indexed 2018-2019 61 47 108
2017-2018 45 2 47 2016-2017 9 13 22
Total 115 62 177
2016- 2017 Journals - Scopus Indexed
1. K.Kalaivani, Y.AsnathVictyPhamila, Analysis of Image Fusion Techniques based on Quality Assessment Metrics, Indian Journal of Science and Technology, 0974 -6846, Vol. 9, Issue 31, 2016
2. Vinodh P Vijayan, N.Kumar, Extending Connectivity And Coverage Using Robot Initiated K Nearest Dynamic Search For WSN Communication, International Journal of Control Theory and Applications, 0974-5572, 09(41), 1171-1177, 2016.
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3. Spatio Temporal Correlated Buffered Data Aggregation For Maximizing Lifetime And Energy Saving In WSN, Biju Paul and N. Kumar, International Journal of Control Theory and Applications, 0974-5572, 09(41), 1179-1185, 2016.
4. Varghese S. Chooralil and N. Kumar, A Pattern Tree User Queries Based Key Frame Extraction And Sentimental Divergence Classification, International Journal of Control Theory and Applications, 0974-5572, 09(41), 1199-1208, 2016.
5. Varghese S. Chooralil and N. Kumar , Continuous Point Wise Key Information Extraction For Semantic Data Analysis, International Journal of Control Theory and Applications, 0974-5572 , 09(41), 1187-1198, 2016.
6. Rajkamal.R, N.Kumar, C. Swaraj Paul, Automatic Real Time Observer Based Calibration of Surround System, Indian Journal of Science and Technology, 0974-6846, 9(32), 1-5, 2016.
7. Vinodh P Vijayan, N.Kumar, Coverage and Lifetime Optimization of WSN using Evolutionary Algorithms and Collision Free nearest Neighbour Assertion, Pertanika Journal of Science and Technology, 0128-7680, 24(2),371 – 379, 2016.
8. Biju Paul, N.Kumar, Data Gathering Protocol for Reducing Energy Utilization in Wireless Sensor Network, Pertanika Journal of Science and Technology, 0128-7680, 24(2), 381 – 392, 2016
9. Sajeev Ram. A, Smart Grid of Big Data Information Management on Secure Cloud Computing Framework, International Journal of Research in Engineering Technology, 2455-1341, Volume - 1, Issue- 3, 2016
Other Indexed
1. A.Jainap Binth Kathoon, K.S.Archana , Efficient Resource Allocation For Device-To- Device Using Time Division Algorithm, International Journal of Advances in Electronics and Computer Science, 2393-2835, Volume 3(2), 2016. 2. Sreelatha Chakkapalli, Shaik Javed Parvez, Shortest-Path: Dynamic and Extensible Indicator for Geographical Search on Road Networks, International Journal of Latest Trends in Engineering and Technology (IJLTET), 2278-621X, Vol. 6 Issue 4, 2016 3. M. Latha, R. Surya, Brain Tumour Detection Using Neural Network Classifier and k- Means Clustering Algorithm for Classification and Segmentation, International Journal of Computing Algorithm (IJCOA), 2278-2397, Vol. 5 Issue 1, Page(s): 37- 40, 2016 4. A.Manikandan, Face session timeout internet secure services, International Journal of Recent Research in Science Engineering and Technology, 2278-7798, 2 (Issue no 4), 2016
5. Dhivya.j,Saritha.A, A System for detecting network intruders in real time, International Journal Of Computer Science And Engineering, 2348-8387, 2016 6. Senthil Kumar.J, Archana.M, Neighborhood Cell Scanning in Network with Small Cells for
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Handover Purpose, International Journal of Engineering Trends and Technology (IJETT) , ISSN:2231-5381, Volume-33, Number-4, 205-207, March 2016 7. Pushpaleela.S , Sheela Gowr P, Towards Bug Triage with Software Data Reduction Technique, International Journal of Science, Engineering and Technology Research, 2278-7798, Volume 5(4), 2016 8. Prakash. M, Nasar A, Dinesh K, Ganesh R, Sheela Gowr P, Publicly Verifiable Remote Data Integrity, International journal of Emerging Technology in Computer Science and Electronics (IJETCSE), 0976-1353, Volume 22(2), 2016 9. S.Sridevi, S.Narasimman, R.Ashwinmuthiya, C.Gopalakrishnana , H.Prabhakaran, Efficient P2p File Sharing In Mobile Ad Hoc Networks(Manet) Using File Replication, International Journal Of Recent Trends In Engineering & Research (IJRTER), 2455- 1457,2(4), 424-430, 2016 10. Ashwini.R, S.Sridevi, Effective Sampling Selection Strategy with Reduced Effort Implied, In Tuning Large Scale Deduplication, International Journal of Computer Science and Network, 2277-54205, 5(3), 523-525, 2016 11. Jayalakshmi Kanagasabapathy, C. Swaraj Paul, Secure and Trusted Information Brokering In Cloud Computing, International Journal of Scientific Research in Science and Technology(IJSRST), 2395-6011, Volume 2 Issue 2, 2016 12. PriyaMishra,K.Ulaga Priya, K.Kalaivani and A.Saritha , Efficient image stenography with image Quality Control, International Journal of Engineering Trends and Technology, Vol 34 , 2016 13. Yamini Meduru,U.V.Anbazhagu, Dynamic Recovery over Large Scale Graph-Structured Data with Subgraphs, International Research Journal of Engineering and Technology, ISSN: 2395 -0056, [Volume 03], [Issue 04],[PP 640-643], 2016
2017-2018
Journals - Scopus Indexed
1. Mandal, S., Santhi, B., Sridhar, S., Vinolia, K., Swaminathan, P, A novel approach for fault detection and classification of the thermocouple sensor in Nuclear Power Plant using Singular Value Decomposition and Symbolic Dynamic Filter, Annals of Nuclear Energy, Mar’2017, Vol.103, pp.440-453, SCOPUS 2. Rajkumar, K., Swaminathan, P., Optimized energy aware scheduling to minimize makespan in distributed systems, Biomedical Research (India), 2017, Vol.28, Issue.7, pp.2877-2883 (SCOPUS). 3. Kuppusamy, A., Ramaswamy, V., Swaminathan.P, An application of Two-Key Dependent Permutation for audio encryption, ARPN Journal of Engineering and Applied Sciences, Vol.12, Issue.9, pp.2824-2837, May’2017, SCOPUS. 4. P.Swaminathan, Nuclear Power Plants thermocouple sensor fault detection and classification using Deep Learning and Generalized likelihood ratio test, IEEE Transactions on Nuclear Science, Volume 64, Issue 6, Pages 1526-1534, June 2017, SCOPUS & WOS 5. P.Swaminathan, Nuclear Power Plant sensor fault detection using singular value decomposition method, Sadhana (Journal from Indian Academy of Sciences), 27th July, 2017 DOI: 10.1007/s 12046-017-0700-2, SCOPUS & WOS 6. ShyamapadaMandal, B.Santhi, S.Sridhar, K.Vinolia, P.Swaminathan, Sensor fault detection in Nuclear Power Plant using statistical methods ,Nuclear Engineering and Design, Volume 324, 1 December 2017, Pages 103-110
7. SPA Claret, MG Alex, R Yamini, A Sahayadhas, Reliability Metrics in Component Based Methods for a Distributed System, , ARPN Journal of Engineering and Applied Sciences,
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Vol. 12, No. 8, 2445-2449, 2017.
8. A Arockia Ranjini, S Arun, A Comparison Study of Various Virtual Machine Consolidation Algorithms in Cloud Datacenter, ARPN Journal of Engineering and Applied Sciences, Vol. 12, No. 1, January 2017, 125-129
9. G. Jayanthi, G. Krithika, R. Anandan, Swaraj Paul C, A User friendly Fingerprint Cryptosystem Based on Manifold Fuzzy Vaults, Journal of Advanced Research in Dynamical and Control Systems, 1943-023X, 05-Special Issue , 183-191, 2017
10. R. Anandan, Kumar Narayanan,C. Swaraj Paul, An Analysis Of Content Delivery Using Pervasive Computing For Delay Sensitive Networks, Journal of Advanced Research in Dynamical and Control Systems, 1943-023X, 04-Special Issue , 95-100, 2017
11. R. Anandan and Joyce Ck. Mani, An Approach To Efficiently Disseminate Flooding Audiovisual Traffic In Urban Vehicular Network, Journal of Advanced Research in Dynamical and Control Systems, 1943-023X, 04-Special Issue ,145-149, 2017
12. Padmasheela Keshvan, R. Anandan and Balakrishna R, Segmentation Of Pancreatic Tumor Using Region Based Active Contour, Journal of Advanced Research in Dynamical and Control Systems, 1943-023X, 04-Special Issue, 294-298, 2017
13. Devnash Sharma, Saurav Rawat, R. Anandan,Sridevi, New Generation Secured and Smart Wallet made using Advanced Technology, Journal of Advanced Research in Dynamical and Control Systems, 1943-023X, 04-Special Issue, 85-88, 2017
14. G.N. Balaji, Arunkumar Gopu, E. Rajesh Kumar, R. Anandan, Detection and Diagnosis of Diaphyseal Femur Fracture, Journal of Advanced Research in Dynamical and Control Systems, 1943-023X, 04-Special Issue, 299-303, 2017
15. Gayathri.K, Afrin Banu.Y, Harini.L, Kumar.N, Face Recognition Based on Biometrics for New Born Babies, Journal of Advanced Research in Dynamical and Control Systems, 1943-023X, 04-Special Issue , 321-330, 2017.
16. Vaishnavi.R, Kumar.N, Swarajpaul.C, Structural Data De-Anonymization with Contributory Broadcast Encryption, Journal of Advanced Research in Dynamical and Control Systems, 1943-023X, 04-Special Issue, 126-128, 2017.
17. Kumar Narayanan, R.Anandan, Performance Analysis of Efficient Path Maintenance Scheme Routing Protocol in MANET, Journal of Advanced Research in Dynamical and Control Systems, 1943-023X, 04-Special Issue , 170-180, 2017.
18. Priya.K, Archana K.S , Sheela Gowr P, M.Latha ,Anbazhagu U.V , Voice Communication Encoded With Intelligent Smoothner,Journal of Advanced Research in Dynamical and Control Systems (JARDCS), 1943-023x, Spl.Issue (04 ), 2017. 19. Tejaswi K.P, Archana K.S , Sheela Gowr P, Rajendrani Bose , Srimathy C , A Comparison Study Of Big Data Management On Multi-Site Cloud Data Centres, Journal of Advanced Research in Dynamical and Control Systems (JARDCS) ,1943-023x, Spl.Issue (04 ) 20. R.Balakrishna, A.Sajeev Ram, A.Manikandan, Effective Resource Allocation for Green
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Computing, Journal of Advanced Research in Dynamical and Control Systems, 1943- 023X, 04-Special Issue, 321-330, 2017.
21. R.A.Karthika, P.Sriramya, S. Kalaiarasi, Energy Efficient Method to Manage the Servers and Load Balancing in Cloud, Journal of Advanced Research in Dynamical and Control Systems, 1943-023X, Vol. 9, No. 5, pp. 120-124, 2017
22. M.Suganya, R.A.Karthika, Emergency Support System for Human Safety through Smartphone, Journal of Advanced Research in Dynamical and Control Systems, 1943- 023X, 04-Special Issue, pp. 113-120, 2017.
23. A.Banushri, R.A.Karthika, A Survey on Data Security using File Hierarchy Attribute- Based Encryption in Cloud Computing Environment, Journal of Advanced Research in Dynamical and Control Systems, 1943-023X, 04-Special Issue, pp. 144-149, 2017
24. Shaik Javed Parvez, Senthil Kumar Janahan, Dr.S.Arun, Dr. R. Anandan, Business Intelligence and decision support using Distinct MapReduce with Access Patterns (DMRAP) in Big Data analytics, Journal of Advanced Research in Dynamical and Control Systems (JARDCS),1943-023x, Spl. Issue (04 ), 2017 25. Senthil Kumar Janahan, Shaik Javed Parvez, Dr.S.Arun, Dr. R. Anandan, A Predictive Analysis of Signatures Using Soft Computing Techniques, Journal of Advanced Research in Dynamical and Control Systems (JARDCS), 1943-023x, Spl. Issue (04 ), 2017
26. Vengal Rao, M. Latha, K.S. Archana, P. Sheela Gowr and U.V. Anbazhagu , A Secure Remote Mobile Voting System Using QR Code, Journal of Advanced Research in Dynamical and Control Systems, 1943-023X Pg 66-71, 2017 27. D. Ajith Kumar, M. Latha, Solomon David and V. Rubaraj, Card Less ATM Machine Interaction Using QR Code, Journal of Advanced Research in Dynamical and Control Systems, 1943-023X, Pg 139-143, 2017 28. A.Manikandan,A.Sajeev Ram,R.Balakrishnan, Video Conceal Using Flash Digital Visual, Journal of Advanced Research in Dynamical and Control Systems (JARDCS),1943-023x, Spl. Issue (04 ), 2017
29. Sajeev Ram. A, R. Balakrishna , Big Data Information Management on Secure Cloud Computing Framework Using Smart Grid, Journal of Advanced Research in Dynamical and Control, 1943-023X, 04-Special Issue , 170-180, 2017 30. J. Hemanth Krishna, A. Saritha, K. Kalaivani and K. Ulagapriya , Integration of Crime: Complaint Reporting and Effective Data Sharing in Remote Cloud Storage with Multi User Access, Journal of Advanced Research in Dynamical and Control systems, 1943- 023X, 04-Special Issue , 170-180, 2017
31. Senthil Kumar Janahan, B. Kathiravan, Shaik Javed Parvez, Secure Distributed Deduplication Systems with Improved Reliability, Journal of Advanced Research in Dynamical and Control Systems (JARDCS), 1943-023x, Spl. Issue (04 ), 2017
32. S. Praveena.,P. Sheela Gowr.,M. Latha., K.S. Archana ,U.V. Anbazhagu, Controlling Of Electrical Devices Using Mobility And Web Connectivity, Journal of Advanced Research in Dynamical and Control Systems (JARDCS) , 1943-023x, Spl.Issue (04 ), 2017 33. S.Sridevi, C.S.Shylaja, R.Balakrishna, A.Sajeev Ram, Analysis Of Distributed Energy Efficient Clone Recognition In WSN, Journal of Advanced Research in Dynamical and
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Control Systems (JARDCS), 1943-023x, Spl. Issue (04 ), 2017 34. Fernandez raj D, Gunasekaran G, Swaraj Paul C, Anandan R, Query Builder with Horizontal Aggregations in Data Mining for Big Data Analysis, Journal of Advanced Research in Dynamical and Control Systems (JARDCS), 19843-023X, Vol (09 ), 2017
35. Fernandez raj D, Gunasekaran G, Swaraj Paul C, Anandan R, Laconic Platform of Sensor Analytics in Big Data, Journal of Advanced Research in Dynamical and Control Systems (JARDCS), 19843-023X, Vol (09 ), 2017 36. Ulaga Priya K, Kalaivani K, Saritha A, Ontology Based Augmented Semantic Content Extraction in Videos, International Journal of Pure and Applied Mathematics (IJPAM), Issue 12, Vol 114, 2017 37. G. Bindu, R.N Dheepak Anand,R.Sakthi Vel,B.Vidhya Sagar, “Electricity Unit Calculator- Individual Electrical Appliances Unit Calculator”, Journal of Advanced Research in Dynamical and Control Systems (JARDCS), Spl. Issue (04), June 2017 38. AnanthaPriya V, Kalaivani K, Ulagapriya K, Efficient Retrieval by Dynamic Subgraph Matching in a Huge Graph Database, ARPN Journal of Engineering and Applied Sciences, 1819-6608, Vol.12, Issue 1, 2017
39. Sangeetha M, Kalaivani K, UlagaPriya K, Saritha A, Mobile Application For Virtual Sports Environment, Journal of Advanced Research in Dynamical and Control Systems (JARDCS), 1943-023x, Spl. Issue 4, 2017
40. Kalaivani K, AsnathVictyPhamila Y, Pixel levelFusion of Multi Temporal Landsat Images using Discrete Wavelet Transformfor Detecting Changes, Journal of Advanced Research in Dynamical and Control Systems (JARDCS), 1943-023x, Vol. 9, 2017
41. Sameema Benazir M, Kalaivani K, Ulagapriya K, Drug Prescription via Personalized Query System, Journal of Advanced Research in Dynamical and Control Systems (JARDCS), 1943-023x, Vol. 9, 2017
42. N.Mounika, K.Kalaivani, Y.AsnathVictyPhamila, Enhanced Data Hiding using Least Significant Bitmasking technique for Image Steganography, Journal of Advanced Research in Dynamical and Control Systems (JARDCS), 1943-023x, Vol. 9, 2017
43. U.V.Anbazhagu, Gokulnath, Regan Paulraj, Manigandan, M.latha, Smartphone –Based Human Fall Detection System, Journal of Advanced Research in Dynamical and Control Systems (JARDCS) , 1943-023x Vol. 9, No. 6, 2017 44. U.V. Anbazhagu, Dr.U.V. Arivazhagu, A Novel Approach of Cluster based Secured Replacement Policy in P2P Network, Journal of Advanced Research in Dynamical and Control Systems (JARDCS), ISSN 1943-023X, Vol. 9, No. 6, pp40-46, 2017 45. S.R. Vimalesh, S. Geofrin Shirly, S. Sridevi,Energy Efficiency for Detection of Clones in Wireless Sensor Networks, Journal of Advanced Research in Dynamical and Control Systems (JARDCS), ISSN 1943-023X, Spl. Issue (15), 2017 UGC Indexed 1. K.Monica and Dr.R.Parvathi , Survey on Social Network Community Detection and Ranking, International Journal of Control Theory and Its Applications , 0974-5572, Vol- 10, 2017 2. Swaraj Paul. C, Gunasekaran and Kumar.N, An enhanced high performance quadrank metasearch engine, International Journal of Control Theory and Applications, 0974- 5572, 10(12), 2017, pp. 19-25
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2018-2019 Journals - Scopus Indexed
1. K. Srinivasa Reddy, R. Anandan, K. Kalaivani, P. Swaminathan, A Comprehensive Survey on Content Based Image Retrieval System and its Application in Medical Domain, International Journal of Engineering and Technology(UAE), 2227-524X, Vol 7, No 2.21 Special Issue 21, 2018. 2. Saini Jacob Soman, P Swaminathan, R Anandan, K Kalaivani, A comparative review of the challenges encountered in sentiment analysis of Indian Regional Language Tweets vs English Language Tweets, International Journal of Engineering and Technology(UAE), 2227-524X, Vol 7, No 2.21 Special Issue 21, 2018 3. M Bhavani, V Hanifar Sangeetha, K Kalaivani, K Ulagapriya, A Saritha, change Detection Algorithm for Multi-Temporal Satellite Images: A Review, International Journal of Engineering and Technology(UAE), 2227-524X, Vol 7, No 2.21 Special Issue 21, 2018 4. S Swetha, R Anandan, K Kalaivani, An Investigation of Micro Aerial Vehicles (µAV), International Journal of Engineering and Technology(UAE), 2227-524X, Vol 7, No 2.21 Special Issue 21, 2018 5. R Anandan, S Phani Kumar, K Kalaivani, P Swaminathan, A SURVEY ON BIG DATA ANALYTICS FOR ENHANCED SECURITY ON CLOUD, International Journal of Engineering and Technology(UAE), 2227-524X, Vol 7, No 2.21 Special Issue 21, 2018 6. R Anandan, Srikanth Bhyrapuneni, K Kalaivani, P Swaminathan, A SURVEY ON BIG DATA ANALYTICS WITH DEEP LEARNING IN TEXT USING MACHINE LEARNING MECHANISMS, International Journal of Engineering and Technology(UAE), 2227-524X Vol 7, No 2.21 Special Issue 21, 2018 7. Devansh Sharma, R Anandan, A Manikandan, Kumar Narayanan, C Swaraj Paul, BUILDING MICROSERVICE FOR USER ENGAGEMENT, International Journal of Engineering and Technology(UAE), 2227-524X, Vol 7, No 2.21 Special Issue 21, 2018 8. S Sivakumar, Kumar Narayanan, Swaraj Paul Chinnaraju, Senthil Kumar Janahan, MINING OF HIGH DIMENSIONAL DATA USING ENHANCED CLUSTERING APPROACH, International Journal of Engineering and Technology(UAE), 2227-524X, Vol 7, No 2.21 Special Issue 21, 2018 9. Kumar Narayanan, R Anandan, Swaraj Paul Chinnaraju, A Manikandan, A Novel Technique for Detecting the Misbehavior Nodes in Wireless Ad Hoc Networks, International Journal of Engineering and Technology(UAE), 2227-524X, Vol 7, No 2.21 Special Issue 21, 2018 10. V V. Saikumar, M S.R. Rohith Reddy, Kumar Narayanan, C Swaraj Paul, R Anandan, Enhancement of the Data Fusion and Sensor Selection in Cloud Computing, International Journal of Engineering and Technology(UAE), 2227-524X, Vol 7, No 2.21 Special Issue 21, 2018 11. S V. Gayetri Devi, C Nalini, N Kumar, An Efficient Software Verification using Multi- Layered Software Verification Tool, International Journal of Engineering and Technology(UAE), 2227-524X, Vol 7, No 2.21 Special Issue 21, 2018 12. R.A. Karthika, Shaik Rahamtula, Yalavarthi Anusha, Internet of Things for Industrial
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Monitoring and Control Applications, International Journal of Engineering and Technology(UAE), 2227-524X, Vol 7, No 2.21 Special Issue 21, 2018 13. G Anitha, R A. Karthika, G Bindu, G V. Sriramakrishnan, Modified Classic Apriori Algorithm for Association Rule Mining, International Journal of Engineering and Technology(UAE), 2227-524X, Vol 7, No 2.21 Special Issue 21, 2018 14. T Hemapriya, K S. Archana, T Anupriya, Comparison of preprocessing techniques for coin recognition using image processing methods, International Journal of Engineering and Technology(UAE), 2227-524X, Vol 7, No 2.21 Special Issue 21, 2018 15. K S. Archana, Arun Sahayadhas, COMPARISON OF VARIOUS FILTERS FOR NOISE REMOVAL IN PADDY LEAF IMAGES, International Journal of Engineering and Technology(UAE), 2227-524X, Vol 7, No 2.21 Special Issue 21, 2018 16. K Kousalya, Shaik Javed Parvez, Effective Processing of Unstructured Data using Python in Hadoop Map Reduce, International Journal of Engineering and Technology(UAE), 2227-524X, Vol 7, No 2.21 Special Issue 21, 2018 17. Shaik Javed Parvez, H M. Moyeenudin, S Arun, R Anandan, Senthil Kumar Janahan, Digital marketing in Hotel Industry, International Journal of Engineering and Technology(UAE), 2227-524X, Vol 7, No 2.21 Special Issue 21, 2018 18. A Manikandan, R Anandan, TRAFFIC ACCIDENT MONITORING SYSTEM USING DEEP LEARNING, International Journal of Engineering and Technology(UAE), 2227-524X, Vol 7, No 2.21 Special Issue 21, 2018 19. Sajeev Ram, Shylaja , Arun Sahayadhas, Computer Aided Diagnosis of Lung Nodules using Content Based Image Retrieval in CT Images, International Journal of Engineering and Technology(UAE), 2227-524X, Vol 7, No 2.21 Special Issue 21, 2018 20. Swaraj Paul Chinnaraju, G Gunasekaran, N Kumar, R Anandan, Transformation from Legacy Storage to Software Defined Storage – A Review, International Journal of Engineering and Technology(UAE), 2227-524X, Vol 7, No 2.21 Special Issue 21, 2018 21. S. Boopalan, G. Narendra Prasad, C. Swaraj Paul, Kumar Narayanan, R. Anandan, Fire Fighting Robot with Vision Camera and Gas Sensors, International Journal of Engineering and Technology(UAE), 2227-524X, Vol 7, No 2.21 Special Issue 21, 2018 22. Senthil Kumar Janahan, M.R.M. Veeramanickam, S. Arun, Kumar Narayanan, R. Anandan, Shaik Javed Parvez, IoT based Smart Traffic Signal Monitoring System using Vehicles Counts, International Journal of Engineering and Technology(UAE), 2227-524X, Vol 7, No 2.21 Special Issue 21, 2018 23. R Balakrishna, R Anandan, A Sajeev Ram, Erroneous Message Discovery with Data Acquisition and Secret Communication in Cellular Networks, International Journal of Engineering and Technology(UAE), 2227-524X, Vol 7, No 2.21 Special Issue 21, 2018 24. P Gopala Varma, R Balakrishna, A Sajeev Ram, A Manikandan, Incognito-Authentication for Preserving Information on Cloud with Distributed Approach Control, International Journal of Engineering and Technology(UAE), 2227-524X, Vol 7, No 2.21 Special Issue 21, 2018 25. Saritha Arumugam, N Kumar, An Overview of Various Ad Hoc Routing Protocols in Manet, International Journal of Engineering and Technology(UAE), 2227-524X, Vol 7, No 2.21 Special Issue 21, 2018 26. S Kiruthika, N Iswarya, A Sartiha, K Kalaivani, K Ulaga Priya, INTERFERENCE-BASED TOPOLOGY CONTROL ALGORITHM FOR NOISE REMOVAL AND DELAY-CONSTRAINED MOBILE AD HOC NETWORKS USING CLUSTERING TECHNOLOGY, International Journal of Engineering and Technology(UAE), 2227-524X, Vol 7, No 2.21 Special Issue 21, 2018
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27. G Bindu, R.A. Karthika, S Sridevi, A STUDY ON RELIABILITY OF MANETS USING TRUST MANAGEMENT SYSTEM, International Journal of Engineering and Technology(UAE), 2227-524X, Vol 7, No 2.21 Special Issue 21, 2018 28. K.M. Monica, R. Parvathi, CORRELATION ANALYSIS OF COMMUNITY DETECTION IN SOCIAL NETWORK OF BIG DATA METHODICAL USING SET THEOREM, International Journal of Engineering and Technology(UAE), 2227-524X, Vol 7, No 2.21 Special Issue 21, 2018 29. K Ulaga Priya, S Pushpa, K Kalaivani, A Sartiha, Exploratory analysis on prediction of Loan Privilege for customers using Random Forest, International Journal of Engineering and Technology(UAE), 2227-524X, Vol 7, No 2.21 Special Issue 21, 2018 30. M. Latha, S. Arun, Performance comparison of various denoising filters for brain MRI images, International Journal of Engineering and Technology(UAE), 2227-524X, Vol 7, No 2.21 Special Issue 21, 2018 31. M Latha, U V. Anbazhagu, An Effective Approach for Video Condensation by Ribbon Carving, International Journal of Engineering and Technology(UAE), 2227-524X, Vol 7, No 2.21 Special Issue 21, 2018
32. P Sheela Gowr, N Kumar, Cloud Computing Security: A Survey, International Journal of Engineering and Technology(UAE), 2227-524X, Vol 7, No 2.21 Special Issue 21, 2018 33. Ranjith, P Sheela Gowr, K S. Archana, Sai Mouli, SYNERGETIC RESEARCH RESPONSE CLASSIFIERS FOR MULTIPLE DOMAINS, International Journal of Engineering and Technology(UAE), 2227-524X, Vol 7, No 2.21 Special Issue 21, 2018 34. Murugadass ., P Sheela Gowr, M Latha, U V. Anbazhagu, IOT Connected Predictive Vehicle Systems, International Journal of Engineering and Technology(UAE), 2227- 524X, Vol 7, No 2.21 Special Issue 21, 2018 35. Geofrin Shirly, N Kumar, A SURVEY ON ENERGY EFFICIENCY IN MOBILE AD HOC NETWORKS, International Journal of Engineering and Technology(UAE), 2227-524X, Vol 7, No 2.21 Special Issue 21, 2018 36. T Karthik Krishnan, S Sridevi, G Bindu, R Anandan, Comparison and Detail Study Of Attacks And Detection Methods For Wireless Sensor Network, International Journal of Engineering and Technology(UAE), 2227-524X, Vol 7, No 2.21 Special Issue 21, 2018 37. U V. Anbazhagu, P Maheshwaran, K S. Archana, Sheela Gowr, A STUDY ON COMPETENCE AND ENRICHMENT OF VIRTUALIZATION IN CLOUD COMPUTING, International Journal of Engineering and Technology(UAE), 2227-524X, Vol 7, No 2.21 Special Issue 21, 2018 38. U V. Anbazhagu, R Balakrishna, A Sajeev Ram, M Latha, Web Image Re-Ranking using Query Specific in Cloud Computing, International Journal of Engineering and Technology(UAE), 2227-524X, Vol 7, No 2.21 Special Issue 21, 2018 39. S. Mohana Krishnan1, Saurav Rawat , M. Surender, R. Balakrishna, R. Anandan, Implementing an Energy Calculator in a Mobile Based Application for Solar Potential Measurement, International Journal of Engineering and Technology(UAE), 2227-524X, Vol 7, No 3.6 Special Issue 6, 2018 40. J. Priya and R. Anandan, Systematic Approach -Big Data Analytics in Healthcare, International Journal of Pure and Applied Mathematics, ISSN: 1314-3395, Volume 119 No. 16, 2018. 41. M. Sivasankari and R. Anandan, Variants of Swarm Optimization Techniques, International Journal of Pure and Applied Mathematics, ISSN: 1314-3395, Volume 119
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No. 16, 2018. 42. R.A.Karthika, D.Anitha and Shatadeep Banerjee Riva, A Comparative Analysis of Algorithms for Authentication and Encryption in Wireless Sensor Networks, International Journal of Pure and Applied Mathematics, ISSN: 1314-3395, Volume 119 No. 16, 2018. 43. R. A. Karthika, R.S.Karthiga, G.Bindu and Preetha Pandu, A Qualitative Analysis On Ethical Artificial Intelligence,International Journal of Pure and Applied Mathematics, ISSN: 1314-3395, Volume 119 No. 16, 2018. 44. R.A. Karthika, K. Dhinakaran, D. Poorvaja, A.V. Shanbaga Priya, Cloud Based Medical Image Data Analytics in Healthcare Management, International Journal of Engineering and Technology(UAE), 2227-524X, Vol 7, No 3.27, Special Issue 27, 2018. 45. A. Banushri, R.A. Karthika, Analysis of Risks and Security Requirements in Public Cloud, International Journal of Engineering and Technology (UAE), 2227-524X, Vol 7, No 3.27, Special Issue 27, 2018. 46. Pavani, U.V. Anbazhagu, Bhavadharani, M. Latha, J. Senthil, Opinion Mining Embedding with Applications to Opinions, International Journal of Engineering and Technology(UAE), 2227-524X, Vol 7, No 3.27, Special Issue 27, 2018. 47. M. Maheswari, R.A. Karthika, Anuska Chatterjee, Implementation Methodology of ECC to Overcome Side Channel Attacks, International Journal of Engineering and Technology(UAE), 2227-524X, Vol 7, No 3.27, Special Issue 27, 2018. 48. K.S. Archana, Arun Sahayadhas, Automatic Rice Leaf Disease Segmentation Using Image Processing Techniques, International Journal of Engineering and Technology(UAE), 2227-524X, Vol 7, No 3.27, Special Issue 27, 2018. 49. R.S. Akshaya Subhasri, M. Ranganayaki, K. Ulaga Priya, K. Kalaivani, A. Sartiha, A Survey on Secure and Verifiable Access Control Scheme for Enormous Information Storage In Clouds, International Journal of Engineering and Technology(UAE), 2227-524X, Vol 7, No 3.27, Special Issue 27, 2018. 50. K.M. Monica, G. Bindu, S. Sridevi, Survey on Image Dimensionality Reduction Using Deep Learning Techniques, International Journal of Engineering and Technology(UAE), 2227- 524X, Vol 7, No 3.27, Special Issue 27, 2018. 51. Praywin Moses Dass Alex, Akash Ravikumar, Jerritta Selvaraj, Arun Sahayadhas, Research on Human Activity Identification Based on Image Processing and Artificial Intelligence, International Journal of Engineering and Technology(UAE), 2227-524X, Vol 7, No 3.27, Special Issue 27, 2018. 52. Sreenivasulu Bolla, R. Anandan, Contemporary Review on Technologies and Methods for Converting Unstructured Data to Structured Data, International Journal of Engineering and Technology(UAE), 2227-524X, Vol 7, No 3.25, Special Issue 25, 2018. 53. Kalaivani K,and Asnath Victy Phamila Y, Modified Wiener Filter for Restoring Landsat Images in Remote Sensing Applications, Pertanika Journal of Science & Technology (JST), ISSN: 0128-7680, 26 (3): 1005 - 1018 (2018). 54. Sajeev Ram, Shylaja and Arun Sahayadhas, Automated Lung Nodule Detection Using Feed Forward Neural Network for CT Images, International Journal of Pure and Applied Mathematics, ISSN: 1314-3395, Volume 119 No. 18, 2018. 55. Shaik Rahamtula and R.A. Karthika, An Efficient Realization of FIR Filter Architecture for Higher Lengths, International Journal of Pure and Applied Mathematics, ISSN: 1314- 3395, Volume 119 No. 18, 2018. 56. R. Balakrishna and R. Anandan, Soft Computing Analysis for Detection of Pancreatic
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Cancer Using MATLAB, International Journal of Pure and Applied Mathematics, ISSN: 1314-3395, Volume 119 No. 18, 2018. 57. S. Sijo, G.Vignesh Raj, S. Sridevi and S. Geofrin Shirly, Detection of Malicious Node Using Optimization Techniques, International Journal of Pure and Applied Mathematics, ISSN: 1314-3395, Volume 119 No. 18, 2018. 58. G. Bindu, S. Sridevi and Chetiveera Pavan Chand, Novel Technique for Finding Anonymity in CRN with Effective Resource Utilization and Secured Routing, International Journal of Pure and Applied Mathematics, ISSN: 1314-3395, Volume 119 No. 18, 2018. 59. A. Manikandan, R. Anandan and N. Kumar, Efficient Travel Route Aware Representative Using Social Networks, International Journal of Pure and Applied Mathematics, ISSN: 1314-3395, Volume 119 No. 18, 2018. 60. R Balakrishna, R Anandan, Early Diagnosis of Chronic and Acute Pancreatitis using Modern Soft Computing Techniques, International Journal of Recent Technology and Engineering (IJRTE),ISSN: 2277-3878, Volume-7 Issue-4S2, December 2018.
UGC Indexed
1. K. Srinivasa Reddy P. Swaminathan, R. Anandan, K. Kalaivani, A Review on Relevance Feedback in CBIR, International Journal of Research in Advent Technology,E-ISSN: 2321-9637, Vol.6, No.6, June 2018. (UGC Recognized) 2. Ribin Jones S.B, N. Kumar, Swaraj S Paul, Health Monitoring Wearable Glove, International Journal of Research in Advent Technology,E-ISSN: 2321-9637, Vol.6, No.9, September 2018. (UGC Recognized) 3. Ribin Jones S.B, N. Kumar, Swaraj S Paul, IoT Application in Irrigation, International Journal of Research in Advent Technology,E-ISSN: 2321-9637, Vol.6, No.9, September 2018. (UGC Recognized)
4. R. S. Karthiga, U. V. Anbazhagu, J. Senthilkumar, Secured Data Processing over Encrypted Cloud by Ranked Multi Keyword Search, International Journal of Management, Technology And Engineering, ISSN: 2249-7455, VOL-8, ISSUE-12, December 2018. (UGC Recognized) 5. B.Joshna,K.S. Archana, Arun Sahayadhas ,A.Saritha, Identification and detection of Maize leaf disease using advanced machine vision technology, International Journal of Management, Technology And Engineering, ISSN: 2249-7455, VOL-8, ISSUE-12, December 2018. (UGC Recognized) 6. Ajanya P , R.Balakrishna , A.Sajeev Ram , Analysis of Alleviating the Artifacts and Enhancement of Underwater Images, International Journal of Management, Technology And Engineering, ISSN: 2249-7455, VOL-8, ISSUE-12, December 2018. (UGC Recognized) 7. G.Bindu,S.Sridevi,Dr.R.A.Karthika, Authentication for security in Vehicular Ad-Hoc Network using Cognitive Radio Technology, International Journal of Management, Technology And Engineering, ISSN: 2249-7455, VOL-8, ISSUE-12, December 2018. (UGC Recognized) 8. Kumar Narayanan, Anandan.R, Swaraj Paul Chinnaraju, Analysis of Effective Novel Approach for Reducing Load Demand for Real Time Applications Using Wireless Communication, International Journal of Management, Technology And Engineering,
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ISSN: 2249-7455, VOL-8, ISSUE-12, December 2018. (UGC Recognized) 9. A.Banushri, Dr.R.A.Karthika, Secure Data Sharing in Cloud Computing based on Advanced SDBAES with Key Management Technique, International Journal of Management, Technology and Engineering, ISSN: 2249-7455, VOL-8, ISSUE-12, December 2018. (UGC Recognized) 10. A. Afiya, Shaik Javed Parvez, Dr.S.Arun, Study of Effective Mining of Unstructured Twitter Data, International Journal of Management, Technology and Engineering, ISSN: 2249-7455, VOL-8, ISSUE-12, December 2018. (UGC Recognized) 11. Pavithra, K Kalaivani, K UlagaPriya, A Review of Image Classification Techniques Based on Performance Metrics, International Journal of Management, Technology and Engineering, ISSN: 2249-7455, VOL-8, ISSUE-12, December 2018. (UGC Recognized) 12. Latha.M, Vennila.K, Packet–dropping with energy restraint using ideal dos attack scheduling, International Journal of Management, Technology and Engineering, ISSN: 2249-7455, VOL-8, ISSUE-12, December 2018. (UGC Recognized) 13. A.Manikandan, S.Thirumal, Dr.R.Anandan, Internet Using Biometrics Secure Services, International Journal of Management, Technology and Engineering, ISSN: 2249-7455, VOL-8, ISSUE-12, December 2018. (UGC Recognized) 14. Monica K.M, Kalyana Chakravathy P.R, Sajeevram A, Assessment on the Rural Roads Activity in Agriculture Productivity with a Case study, International Journal of Management, Technology and Engineering, ISSN: 2249-7455, VOL-8, ISSUE-12, December 2018. (UGC Recognized) 15. Punithavalli V, P.Sheela Gowr, M.Latha, Light Weight Trust Computing for Cloud Service Provider, International Journal of Management, Technology and Engineering, ISSN: 2249-7455, VOL-8, ISSUE-12, December 2018. (UGC Recognized) 16. Sajeev Ram Arumugam, Shylaja C S, CAD System for Early Stroke Detection and Classification, International Journal of Management, Technology and Engineering, ISSN: 2249-7455, VOL-8, ISSUE-12, December 2018. (UGC Recognized) 17. Shanmuga sundari, A.Saritha, K.S Archana, Advance search engine using skyline analysis in database system, International Journal of Management, Technology and Engineering, ISSN: 2249-7455, VOL-8, ISSUE-12, December 2018. (UGC Recognized) 18. Senthil Kumar Janahan, Gajanan P.Arsalwad, Veeramanickam, Arun Sahayaraj, Graphical Representation of Real-Time System Design Elements with Notational Specifications, International Journal of Management, Technology and Engineering, ISSN: 2249-7455, VOL-8, ISSUE-12, December 2018. (UGC Recognized) 19. B.G.Rhamya, S.Sridevi, Manikandan , Merge Trust Based Misuse Detection Approach for Wireless Sensor Network, International Journal of Management, Technology and Engineering, ISSN: 2249-7455, VOL-8, ISSUE-12, December 2018. (UGC Recognized) 20. S.Thirumal, A.Manikandan, Dr.D.venkatasubramanian, Real Time Security Compliance Monitoring In Big Data Environment, International Journal of Management, Technology and Engineering, ISSN: 2249-7455, VOL-8, ISSUE-12, December 2018. (UGC Recognized) 21. K.UlagaPriya, K.Kalaivani, A.Saritha, Machine Learning Concepts and its Applications, International Journal of Management, Technology and Engineering, ISSN: 2249-7455, VOL-8, ISSUE-12, December 2018. (UGC Recognized) 22. Kumar Narayanan, Anandan.R, Swaraj Paul Chinnaraju, Analysis Of Energy Efficient Routing Scheme With EE-OLSR Energy Protocol In Mobile Ad Hoc Network, Journal of Computational Information Systems, ISSN: 1553-9105, Volume 14 - Issue 6, December 2018. (UGC Recognized) 23. Kumar Narayanan, Swaraj Paul Chinnaraju, Anandan R, Vinodh P Vijayan, Enhancement Of Network Lifetime And Coverage Of Robotic Sensors In Wireless Networks, Journal of Computational Information Systems, ISSN: 1553-9105, Volume 14 - Issue 6, December 2018. (UGC Recognized) 24. Swaraj Paul Chinnaraju, Kumar Narayanan, Anandan R, Varghese S Chooralil, Semantic Web Query Optimization Using Tree-Based Data Analysis, Journal of Computational
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Information Systems, ISSN: 1553-9105, Volume 14 - Issue 6, December 2018. (UGC Recognized) 25. Swaraj Paul Chinnaraju , Kumar Narayanan, Anandan R, A Study On Black Hat Seo Technique – Spamdexing, Journal of Computational Information Systems, ISSN: 1553- 9105, Volume 14 - Issue 6, December 2018. (UGC Recognized) 26. A.Banushri, Dr.R.A.Karthika, Security Issues In Infrastructure As A Facility Of Cloud, Journal of Computational Information Systems, ISSN: 1553-9105, Volume 14 - Issue 6, December 2018. (UGC Recognized) 27. G.Bindu, K.M.Monica, S.Sridevi, An Analysis Of Cognitive Radio Spectrum Sensing For Network Security In Vehicular Ad Hoc Network, Journal of Computational Information Systems, ISSN: 1553-9105, Volume 14 - Issue 6, December 2018. (UGC Recognized) 28. S.Sridevi, G.Bindu, K.M.Monica, Improving Security With Multiple Keys In Nearest Neighbor Query Processing, Journal of Computational Information Systems, ISSN: 1553- 9105, Volume 14 - Issue 6, December 2018. (UGC Recognized) 29. B.Joshna, K.S. Archana, A.Saritha, Kalman And Camshift Algorithm For Tracking Fast Moving Object Through Image Processing, Journal of Computational Information Systems, ISSN: 1553-9105, Volume 14 - Issue 6, December 2018. (UGC Recognized) 30. A.saritha, D.vinod, A Framework And Assessment Of Information Security In The Product Design Centre, Journal of Computational Information Systems, ISSN: 1553- 9105, Volume 14 - Issue 6, December 2018. (UGC Recognized) 31. Sajeev Ram Arumugam, Shylaja C S, An Evaluation On Image Segmentation Techniques On Medical Image Processing, Journal of Computational Information Systems, ISSN: 1553-9105, Volume 14 - Issue 6, December 2018. (UGC Recognized) 32. R.Balakrishna, A. Sajeev Ram, Feature Based Encryption Of E-Healthcare System Using Clinical Report Engineering In Cloud Computing, Journal of Computational Information Systems, ISSN: 1553-9105, Volume 14 - Issue 6, December 2018. (UGC Recognized) 33. S.Thirumal, A.Manikandan, Dr.R.Anandan, Identification Of Effective Sub-Word Unit For Speech Recognition In Tamil, Journal of Computational Information Systems, ISSN: 1553-9105, Volume 14 - Issue 6, December 2018. (UGC Recognized) 34. Dr.R.Anandan, A.Manikandan S.Thirumal, Environmental Waste Management Using Electronic Grid, Journal of Computational Information Systems, ISSN: 1553-9105, Volume 14 - Issue 6, December 2018. (UGC Recognized) 35. Dr.R.Anandan, A.Manikandan S.Thirumal, Predictive Analysis Of Diseases Using Nadi By Artificial Intelligence Techniques, Journal of Computational Information Systems, ISSN: 1553-9105, Volume 14 - Issue 6, December 2018. (UGC Recognized) 36. A.Manikandan, Dr.R.Anandan, S.Thirumal, VPN In Nemo For Real Time Applications, Journal of Computational Information Systems, ISSN: 1553-9105, Volume 14 - Issue 6, December 2018. (UGC Recognized) 37. H.M.Moyeenudin, ShaikJaveedParvez, Anandan.R, Application Of RFID Technology For Food Safety, Journal of Computational Information Systems, ISSN: 1553-9105, Volume 14 - Issue 6, December 2018. (UGC Recognized) 38. Shaik Javed Parvez, Arun S, Anandan R, Moyeenudin H M, A Study On Geographical Search And Road Network Using Progressive Indicator For Finding Shortest Path, Journal of Computational Information Systems, ISSN: 1553-9105, Volume 14 - Issue 6, December 2018. (UGC Recognized) 39. Monica K.M, Bindu G, Sridevi, Three Dimensional Modernization Using Stereo Images, Journal of Computational Information Systems, ISSN: 1553-9105, Volume 14 - Issue 6, December 2018. (UGC Recognized) 40. Senthil Kumar Janahan, R. S. Karthiga, Secured Data Processing Over Encrypted Cloud By Ranked Multi Keyword Search, Journal of Computational Information Systems, ISSN: 1553-9105, Volume 14 - Issue 6, December 2018. (UGC Recognized)
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41. P.L.Meenal, P.Sheela Gowr, Safe Travel Assurance For Visually Impaired Using Voice Assistance, Journal of Computational Information Systems, ISSN: 1553-9105, Volume 14 - Issue 6, December 2018. (UGC Recognized) 42. Latha.M, Anupriya, Automatically Detecting Oral Cancer Status, Journal of Computational Information Systems, ISSN: 1553-9105, Volume 14 - Issue 6, December 2018. (UGC Recognized) 43. K.UlagaPriya, K.Kalaivani, Categorical Data Analysis Using R In Machine Learning, Journal of Computational Information Systems, ISSN: 1553-9105, Volume 14 - Issue 6, December 2018. (UGC Recognized) 44. U. V. Anbazhagu, Maheshwaran.P,Arunraj, 3d Ball Using Unity Engine, Journal of Computational Information Systems, ISSN: 1553-9105, Volume 14 - Issue 6, December 2018. (UGC Recognized) 45. Moyeenudin and Anandan.R, PLC Programming for HACCP in Food Processing Unit, International Journal of Research in Advent Technology, ISSN NO: 2321- 9637, Volume 6, Issue 12, December 2018. (UGC Recognized)
Journals - Scopus Indexed
1. S.Sridevi, R. Anandan , AORA-A Novel Optimized Intrusion Detection System for Identification of the Black Hole Attacks in Wireless Sensor Networks, International Journal of Recent Technology and Engineering(IJRTE), ISSN: 2277-3878, Vol.7, Issue ,5S2,2019.
UGC Indexed Journals
1. H.M.Moyeenudin, Manivel.K, John Williams, Anandan.R , A STUDY ON EFFICACY OF HERBS IN TREATING COPD NATURALLY, Journal of Emerging Technologies and Innovative Research (JETIR), Vol 6(2), Feb 2019, ISSN-2349-5162, Pg.377 – 381. (UGC Recognized) 2. H.M. Moyeenudin, Manivel. K, John Williams, Anandan. R, The challenges of demand and safety towards sustainable growth on exporting food products , Indian Journal of Economics and Development, Vol 7(2), Feb 2019, Print ISSN : 2320-9828, Online ISSN : 2320-9836. (UGC Recognized)
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PhD Guided/awarded during the assessment period while working in the institute (5 Marks)
Ph.D Awarded Mode Area / Broad Date of Sl. Name of the (FT/PT field of Guide Details Registrati Awarded Date No Candidate ) Research on Dr.N.Kumar Energy Associate Conserved Professor, Data Department of Aggregation 1 Mr.Biju Paul P.T CSE, 30.08.2013 18.12.2017 Scheme for School of Wireless Engineering, Sensor Vels University, Network Chennai-600 117 Dr.N.Kumar Associate Professor, Semantic Department of Mr.Varghese Data Analysis 2 P.T CSE, 30.08.2013 14.02.2018 S.Chooralil and School of Optimization Engineering, Vels University, Chennai-600 117 Dr.N.Kumar Improving Associate Network Professor, Lifetime and Department of Mr.Vinodh Coverage of 3 P.T CSE, 30.08.2013 12.02.2018 P.Vijayan Robotic School of Sensors in Engineering, Wireless Vels University, Networks Chennai-600 117 Dr.K.L.Shanmug An Intelligent anathan Multi Agent Professor and Model Based Ms.A.Carrmel Head, 4 P.T on Cloud 16.03.2012 28.06.2018 Prabha Dept. of CSE, computing for RMK Engg. Resource College, Virtualization Chennai- 601 206
Dr.S.Saravana Kumar, Professor, Dynamic Department of 5 Mr.S.Karthik P.T reconfigurabl 05.03.2014 16-07-2018 CSE Panimalar e architecture Institure of Technology, Chennai
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Dr.S.Saravana Secure and Kumar, safety trends Professor, updated in Ms.K.Priydarsin Department of 6 P.T performance 19.03.2014 19.07.2018 i CSE Panimalar computing Institure of using cloud Technology, computing Chennai Energy - Dr.S.P.Rajagopal Aware an Resource Professor Allocation Emeritus, Heuristics for School of Mr.N.Kalyana 7 P.T Efficient Computing 05.09.2013 29.10.2018 Sundaram management Science and of Data Engineering, Centres for Dr.M.G.R.Universi Cloud ty, Chennai - Computing 600095 Monitoring the Dr.S.Saravana processing Kumar, Implementati Professor, Mr.S.Sathish on of Department of 8 P.T 03.03.2014 10.12.2018 Raja Successive CSE Panimalar Cryptography Institure of Analysis for Technology, symmetric Chennai System An Efficient Dr.T.Nalini, Dynamic Professor & Head Secret Key in Department of Virtual Computer Mr.R.G.Suresh Machine Science & 9 P.T 29.08.2013 27.12.2018 Kumar Using With Engineering KBR Agent for Bharath Secure File University Sharing in Chennai - 600 Hybrid Cloud 073. Dr.T.Nalini, An Efficient Professor & Head Re-encrypted Department of Cryptosystem Computer to protect Science & 10 Ms.S.Kalaivany P.T data security 29.08.2013 01.02.2019 Engineering and Bharath confidentialit University y in Cloud Chennai - 600 Storage 073.
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An Effective Dr.S.Arun Energy and Associate Performance Professor, management Department of Ms.A.Arockia 11 F.T of Cloud Data CSE, 06.03.2014 04.02.2019 Ranjini Centers Using School of Virtual Engineering, Machine VISTAS, Consolidation Chennai-600 117
Pursuing Ph.D Scholars – Part time
Area / Date of Sl. Name of the Mode Broad field Guide Details Registrati Status No Candidate (FT/PT) of Research on Dr.N.Kumar Associate Professor, Department of Cloud Pursuing 1. Ms.Sheela Gowr P.T CSE, 27.10.2016 Computing School of Engineering, VISTAS, Chennai-600 117 Dr.N.Kumar Associate Professor, Mobile Department of Pursuing 2. Ms.Saritha P.T Adhoc CSE, 27.10.2016
Networks School of Engineering, VISTAS, Chennai-600 117 Dr.N.Kumar Associate Professor, Mobile Department of 3. Ms.Resmi.G.Nair P.T Adhoc CSE, 27.10.2016 Pursuing Networks School of Engineering, VISTAS, Chennai-600 117 Dr.R.A.Karthika Associate Professor, Department of Image 4. Mr.Kottam Sudhakar P.T CSE, 27.10.2016 Pursuing Processing School of Engineering, VISTAS, Chennai-600 117
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Dr.S.Arun Associate Professor, User Department of 5. Ms.Hannah Nithya P.T Interface CSE, 13.04.2017 Pursuing Design School of Engineering, VISTAS, Chennai-600 117 Dr.R.Anandan Professor, Department of
Big data CSE, 6. Ms.Anbazhagu P.T 13.04.2017 Pursuing Analytics School of
Engineering, VISTAS, Chennai-600 117 Dr.R.A.Karthika Associate Professor, Department of Virtualizatio 7. Ms.Banushri.A P.T CSE, 17.04.2017 Pursuing n School of Engineering, VISTAS, Chennai-600 117 Dr.P.Swaminathan Professor, Social Department of Network CSE, 8. Mr.Sani Jacob Soman P.T 17.04.2017 Pursuing Mining and School of Analysis Engineering, VISTAS, Chennai-600 117 Dr.P.Swaminathan Professor, Department of Mr.Sindhe Phani Cloud CSE, 9. P.T 17.04.2017 Pursuing Kumar Computing School of Engineering, VISTAS, Chennai-600 117 Dr.P.Swaminathan Professor, Department of Mr.SriKanth Big data CSE, 10. P.T 17.04.2017 Pursuing Bhyrapuneni Analytics School of Engineering, VISTAS, Chennai-600 117
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Dr.N.Kumar Associate Professor, Mobile Ad Department of 11. Mrs.Sangeetha.Y P.T hoc CSE, 31.08.2017 Pursuing Networks School of Engineering, VISTAS, Chennai-600 117 Dr.R.A.Karthika Associate Professor, Wireless Department of 12. Ms.D.Anitha P.T Sensor CSE, 31.08.2017 Pursuing Networks School of Engineering, VISTAS, Chennai-600 117 Dr.R.A.Karthika Associate Professor, Department of Internet of 13. Ms.M.Maheswari P.T CSE, 05.09.2017 Pursuing Things (IoT) School of Engineering, VISTAS, Chennai-600 117 Dr.R.A.Karthika Associate Professor Wireless Department of 14. Ms.Yohapriya.N P.T Sensor CSE, 05.09.2017 Pursuing Networks School of Engineering, VISTAS, Chennai-600 117 Dr.R.Anandan Professor, Department of Big Data CSE, 15. Mr.Sreenivasulu Bolla P.T 31.08.2017 Pursuing Analysis School of Engineering, VISTAS, Chennai-600 117 Dr.R.Anandan Professor, Department of Robots using CSE, 16. Ms.A.Saranya P.T Machine 05.09.2017 Pursuing School of Algorithm Engineering, VISTAS, Chennai-600 117
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Dr.R.Anandan Professor, Department of CSE, 17. Mr.A.Manikandan P.T Big Data 05.09.2017 Pursuing School of Engineering, VISTAS, Chennai-600 117 Dr.R.Anandan Professor, Department of Artificial CSE, 18. Ms.M.Sivasankari P.T 05.09.2017 Pursuing Intelligence School of Engineering, VISTAS, Chennai-600 117 Dr.R.Anandan Professor, Department of CSE, 19. Ms.J.Priya P.T Data Mining 05.09.2017 Pursuing School of Engineering, VISTAS, Chennai-600 117
Efficient Dr.N.Kumar method of Associate predicting Professor, storage Department of device 20. Mr.RM.Manikandan P.T CSE, 28.02.2018 Pursuing failure in School of datacenter Engineering, using VISTAS, Machine Chennai-600 117 Learning Techniques Dr.N.Kumar Associate Professor, Department of Cloud 21. Mr.Ribin Jones.SB P.T CSE, 14.03.2018 Pursuing Computing School of Engineering, VISTAS, Chennai-600 117
Dr.E.N.Ganesh Professor, Big Data Dean, School of 22. Mr. Praveen.S P.T 15.03.2018 Pursuing Analytics Engineering, VISTAS, Chennai-600 117
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Dr.E.N.Ganesh Big Data Professor, Analytics in Dean, School of 23. Mr.Sudharsan. R P.T 16.03.2018 Pursuing Telecommun Engineering, ication VISTAS, Chennai-600 117
Dr.R.A.Karthika Associate Agile Professor, Management Department of 24. Ms.Janani Varun P.T In Data CSE, 10.08.2018 Pursuing Warehousin School of g Projects Engineering, VISTAS, Chennai-600 117 Dr.R.A.Karthika Associate Professor, Security on Department of Internet of 25. Ms.Rohini.S Hanchate P.T CSE, 10.08.2018 Pursuing Things in 5G School of Network Engineering, VISTAS, Chennai-600 117 Implementat Dr.N.Kumar ion of Associate Artificial Professor, Intelligent Department of UAV with 26. Mr.Krishna Raj.R P.T CSE, 10.08.2018 Pursuing Sensor School of Network for Engineering, societal VISTAS, applications Chennai-600 117
Active Queue Dr.R.A.Karthika Technic To Associate Enhance The Professor, Performance Department of 27. Ms.Keerthipatti kumar P.T Of CSE, 10.08.2018 Pursuing Congestion School of Control Engineering, Using Time VISTAS, Queue Chennai-600 117 Theory
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Pursuing Ph.D Scholars – Full time
Area / Sl. Name of the Mode Broad Date of Guide Details Status No Candidate (FT/PT) field of Registration Research Dr.S.Arun, Associate Professor, Driver Department of Assistance, CSE, 1. Ms.Suganya F.T 13.04.2017 Pursuing Artificial School of Intelligence Engineering, VISTAS, Chennai-600 117
Dr.E.N.Ganesh Internet of Professor, Things and Dean, School of 2. Mrs. J. Bettyjane F.T Big Data for Engineering, 26.02.2018 Pursuing Cluster VISTAS, Data Chennai-600 117
5.8.2 Sponsored Research (20 Marks)
Funded research Projects from outside:
Durati Date of Funding Amount S.NO Project Title on of Date of Start Completi Agency in Rs. Project on Development of an intelligent Hybrid Driver 1 Hypo vigilance System ( DST -SERB 2507390 3 Years 09-21-2016 ongoing ECR/2015/000449, 4/3/2016)
Study, Design and Combat Development of Perforated Vehicles Armour System for AVF Research & 2 1656939 3 Years 27-09-2018 ongoing Applications ( Development CVRDE/19CR0004/MBT/1 Establishmen 8-19/LP, 27/09/2017) t (CVRDE)
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Funded research Projects from Inside:
S.NO Research Title Date of Date of Duration of Financial Remarks Sponsoring Start Completion Project Outlay Agency
1 Robosect 11-02-2016 02-11-2017 1 Year 200000 Completed Vels Seed Grant, VISTAS 2 Safelet 11-02-2016 02-11-2017 1 Year 200000 Completed Vels Seed Grant, VISTAS 3 Navigation and 11-02-2016 02-11-2017 1 Year 200000 Completed Vels Seed Grant, its advance VISTAS with AI 4 Pulse 01-02-2018 03-07-2018 6 Months 30000 Completed Vels Seed Grant, Monitoring VISTAS Wearable Glove 5 Smart 1/2/2018 03-07-2018 6 Months 40000 Completed Vels Seed Grant, Irrigation VISTAS System Using IOT
5.7.3 Development Activities (15 Marks)
A. Product Development - NIL
B. Research laboratories
Name of the Collaborative Sl.No Research Research Activities Faculty In charge Industry Laboratory It comprises a multidisciplinary group of researchers conducting Artificial 1 theoretical, experimental, - Dr.S.Arun Intelligence Lab and applied investigations of intelligent systems, machine perception and robotics. In this lab Researchers will learn the major features and IBM Cloud functions of self- service 2 IBM Dr.R.A.Karthika Computing Lab provisioning of virtual servers and software using IBM
C. Instructional materials
PPT Video Lectures Laboratory Manuals Faculty Notes of lesson
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D. Working models/charts/monograms etc. - NIL
5.8.4. Consultancy (from Industry) (20)
Project Title Duration Funding Agency Amount in Rs. E-Content Jan 2019 to June 150000 Ecorys India Private Limited Development 2019
5.9. Faculty Performance Appraisal and Development System (FPADS) (10)
The Institution has introduced Self-Appraisal report for teaching and non-teaching faculty members which are required to be submitted at the end of each academic year for both the teaching and non teaching faculty members.
Performance Appraisal for teaching Faculty members:
Institute has a very transparent self appraisal system. The appraisal system covers all the aspects of academic, administrative and research activities of the staff. The factors for appraisal are listed below:
Teaching Assignment Mentoring & Guidance Journal Publication Conference Publication Research Project Award / Honors / Recognition Professional Membership Administration Support Services Organizing Events Accreditation Activities Consultancy In addition to the above, faculty are rated by students through an online feedback system.
The attributes covered for theory courses are:
Punctuality Sincerity Subject Knowledge Lecture Preparation Communication & Presentation Skills Coverage of Syllabus as per Schedule Standard of Test Questions Interaction & Approachability Helping for Clarification of Doubts Overall Rating of the Teacher
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Performance appraisal for Non –Teaching faculty
VISTAS recognizes the key role played by the non teaching staff in underpinning the functioning of the system and has developed a self appraisal system so that non teaching staff show involvement, take responsibility and are held accountable. The components of assessment are listed below:
Job Knowledge Relating to Students and faculty Dependability Adaptability Punctuality Integrity
5.10. Visiting/Adjunct/Emeritus Faculty etc. (10)
Sl. Name of the Designation Qualification University Teaching No. Teachers Emeritus / Adjunct / Experience visiting /Guest Faculty 1 Dr.Kenneth Visiting Professor M.E.,Ph.D Universiti 20 Sundaraj Teknikal Malaysia Melaka (UTeM)
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(80) Criterion - 6 FACILITIES AND TECHNICAL SUPPORT
6.1 ADEQUATE AND WELL-EQUIPPED LABORATORIES, AND TECHNICAL MANPOWER (40)
No. of Weekly Stude Utilizatio Technical manpower support Name of nts n Status S. the Per Name of the Important (all the N Laborator Setup Equipment Courses o Name y (batc for which of the Design h the lab is Techni Qualification ation Size) Utilized) cal Staff Acer Veriton M200 - M110 (Intel Core i3 – 6100 CPU @ 3.70GHz) HP Elite 7100 (Intel Core i3 @ 3.20GHz) HP Desktop i5 5th gen (4300) (Intel Core i5 @ 2.90GHz) Operating Mr.S.M System Asus i-Ball Desktop i3 1 Systems 30 30 Hrs ohan Admini DECE (4160) Laboratory Raj strator (Intel Core i3 @ 3.60GHz) Acer Power Series (Intel Core 2 Duo [email protected]) HP Compaq Desktop (Intel® [email protected] GHz) HP Laser Jet 600 M601 HP Scan Jet G4010 HP Desktop (3090) (Intel Core 2 Duo @ 2.93GHz) Communica Netwo Acer Power Series Mr.R.So tion & rk 2 30 (Intel Core 2 Duo @2.80 30 Hrs rna B.Tech CSE Graphics Engine GHz) Kumar Laboratory er HP Elite i3 (7100) (Intel Core i3 @ 3.20GHz) Acer Veriton M200- H110 Computer (Intel Core i5 – 6100 System Mr.E.Da 3 Networks 30 CPU @ 3.70GHz) 30 Hrs Engine B.E. CSE., MBA vid Laboratory HP System (3090) er (Intel Core 2 Duo@ 2.93 GHz)
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Database HP System (3090) System Manageme Mr.E.Da 4 30 (Intel Core 2 Duo@ 2.93 30 Hrs Engine B.E. CSE., MBA nt vid GHz) er Laboratory
Data HP System (3090) Techni Mr.A.Ka 5 Structures 30 (Intel Core 2 Duo@ 2.93 30 Hrs cal M.E. CSE rthik Laboratory GHz) Assist
Netwo Cloud HP System i5 (4300) Mr.R.So rk 6 Computing 30 (Intel Core i5 @ 30 Hrs rnakum B.Tech CSE Engine Laboratory 2.90GHz) ar er
6.2. Laboratories: Maintenance and overall ambiance (10)
ROOM DESCRIPTION FACILITIES (Class Room Number) ENB206
ENB207 All the doors and windows in the rooms are located to allow maximum daylight and provide good cross ventilation. ENB212 All windows in the rooms are covered by curtains ENB213 All the doors are sufficiently wide and available in adequate numbers, to
ENB214 evacuate people inside in case of emergency The buildings are designed by professional architects, who give utmost care ENB215 in providing academic ambiance in all the rooms. ENB216
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Additional facilities created for the students: Areas in which Reasons for students are S No Facility Name Details creating facilities expected to utilize Self-learning / Courses specified Seminars / Bandwidth 100 in Curriculum, LCS Internet Facility Presentations / 1 Mbps and Black board Solve assignments, LMS documentation
Courses specified Technical videos To enhance student 2 Live video lecture in Curriculum by experts knowledge
Review the recorded lectures and henceforth To record lectures IP cameras and provide access to Lecture Capturing System handled in the 3 server students such that classrooms they can refer to
the class anytime and anywhere
To improve problem Conducted for solving skills for the Subjects opted by 4 Tutorial Classes analytical courses students students
Program Specific To provide Courses specified Department text books and additional support 5 in Curriculum Library reference for
books students Access to IEEE Courses specified Digital Library 6 IEEE Xplore Xplore in Curriculum
To enhance the Surveillance Cameras IP cameras security of the Security purpose 7 department
To ensure that the differently abled For differently abled Lifts/Ramp/wash rooms/ For regular usage students access 8 students the campus hassle
free
Maintenance: Do’s and Don’ts and Safety measures rules are displayed in each laboratory. Well trained Staffs are available for maintenance of systems and software. Systems are serviced frequently and, on damage or malfunctions the parts are replaced immediately.
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All necessary software for the smooth conducting of the lab are installed in respective labs
Ambience: Department is well equipped with necessary equipments which caters to all UG & PG courses as per curriculum requirements. Conditions of chairs are in good condition. Chairs are provided for individual students in Labs. Department has experienced faculty to educate them in their subject. All the labs are conducted and evaluated every week. Laboratory manual are distributed to students. Sufficient number of windows is available for ventilation and natural light and every lab has one exit. Lighting system is very effective, along with the natural light in every corner of the rooms. Each Lab is equipped with white board. Internet facility is available in all the department labs. Lab has been equipped with all updated software for the students to carry out their mini and major project work without any hurdles. A/C s is provided to maintain ambient temperature.
6.3. Safety Measures in Laboratories
Sl.No Name of the Laboratory Safety Measures
General Rules of Conduct in Laboratories are 1. Operating System Laboratory displayed. Communication & Graphics First aid box are kept in the laboratory in case of 2. Lab emergency. Computer Networks Fire Extinguisher is available in the Laboratory in 3. Laboratory case of fire emergency. Database Management Well trained technical supporting staff. 4. Systems Laboratory Students must wear Lab Coat in Laboratories. Students must remove their foot wears and keep in 5. Data Structures Laboratory the shoe racks which are placed outside in the
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Laboratories. The student must check the computer unit and its peripherals attached before using it. The student must immediately inform the instructor if there’s any defect, error or damage observed at the 6. Cloud Computing Laboratory computer (hardware/software). Periodical servicing of the lab equipments. Students must shutdown personal computer properly to avoid system failure. Maintain a clean and organized laboratory, Avoiding the use of cell phones.
6.4 Project Laboratory
Utilization in S.No. Name of the Facilities Utilization Hours 1. Turbo C 3.2, Boss Linux, 2. Ubuntu Linux Java SE Development Kit 3. Microsoft Visual Studio , UG students PG students 4. My Eclipse, Net beans IDE 8.0 Research 30 Apache Tomcat ,Python 3.7, 5. Scholars Code Blocks Faculty Microsoft Office professional 2007 , members 6. Adobe Reader XI / DC, Star UML 2.8.0 7. My SQL, MS SQL Server 2008 8. MATLAB R2018b
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CRITERION - 7 Continuous Improvement 75
7.1 Actions taken based on the results of evaluation of each of the POs & PSOs (30)
Identify the areas of weaknesses in the program based on the analysis of evaluation of POs & PSOs attainment levels. Measures identified and implemented to improve POs & PSOs attainment levels for the assessment years. Actions to be written as per table in 1.
Examples of analysis and proposed action
Sample 1- In 2015-16 regulation, the students were only learning the basics of Python, PHP, Perl, Shell scripting with .Net in Open Source Laboratory during their 7th semester. Action taken - A comprehensive theory and laboratory course on Python programming is introduced to enhance their skill set.
Sample 2 - In a course on TOC (Theory of Computation) theory, student performance has been consistently low with respect to some COs. Analysis of answer scripts and discussions with the students revealed that this could be attributed to a weaker course on complex solutions. Action taken- revision of the course syllabus was carried out.
Sample 3 - In a course that had group projects it was determined that the expectations from this course about PO3 (like: “to meet the specifications with consideration for the public health and safety, and the cultural, societal, and environmental considerations”) were not realized as there were no discussions about these aspects while planning and execution of the project. Action taken- Project planning, monitoring and evaluation included in rubrics related to these aspects.
POs Attainment Levels and Actions for improvement – CAY (2018-19) Target Attainment POs Observation Level Level PO1: Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems Target achieved PO1 1.65 1.09 Enhancement in the ability to solve and analyse the numerical Action: Subsequent coaching classes were conducted beyond the regular planned classes.
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Bridge courses were conducted before the semester beginning for 1st year subjects PO2: 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 Target achieved PO2 1.6 1.01 Experimental analysis of the assigned problems. Action: Incorporation of more numerical problems during their regular lectures. PO3: 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. Target achieved PO3 1.65 1.10 Able to innovative prototypes Action : Conducted workshop on Data Science and Importance of R Programming on 16 Aug 2018 by Sonia Raveendran, & Logeshwaran.M Business Analyst Trainer LIVEWIRE, Chennai. This facilitated students to work on public health projects in prediction of diseases at incipient stages. Conducted workshop on Cloud Computing and IoT on 3 Oct 2018 by Mr.HajaMohideen , President and CEO , Rocheston LLC , New York. This motivated students to work on smart India, swatch Bharath projects. PO4: 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 Target achieved PO4 1.65 1.07 Extend the ability to experimentally analyze the problems through relevant software’s Action : Conducted expert talk on Cyber Security in IoT by Mr.HajaMohideen , President and CEO , Rocheston LLC , New York on 3 Oct 2018. This motivated students to enhance their ability in finding cyber security solutions to complex problems Conducted expert talk onScope of CSE in competitive IT industry by Raajesh Subramanian, Senior Delivery Manager, Virtuza Polaris Ltd on 24 Aug 2018. PO5: Modern tool usage: Create, select, and apply appropriate techniques, resources, and
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modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations. Target achieved PO5 1.70 1.12 Usage of additional software’s, latest testing tool Action: Conducted expert talk on Data Mining by Dr.LathaParthiban, Associate Professor, Department of CSE, Pondicherry University on 10 Jul 2018. It helped the students to get familiar in modern data mining tools. Conducted workshop onLetZConnect Intranet and Internet App for connecting Students & Faculty members by Mr.Pradeep, LetZConnect, Chennai on 18 July 2018. It focused on developing android and iOS app. PO6: 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. Target achieved PO6 1.5 0.94 Investigation of problems faced by society were addressed Action: Conducted expert talk on Digital Transformation on Devops by Ms.R.Shobana, Technical Head, NIIT, Anna Nagar, Chennai on 9 Oct 2018 PO7: 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 Target marginally missed Projects related to economical and PO7 1.60 1.08 environmental contexts were planned for final year Action: Conducted a workshop on Safety Riding by Amit Kadam Safety Riding-South RO Honda Motors on 4 Jul 2018 PO8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice. Target marginally missed PO8 1.85 1.29 Planned Expert lecture on professional ethics and managerial skills
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Action: A skill development program on Life Skills for Engineers is introduced in the curriculum. PO9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings. Target achieved 1.28 PO9 1.80 Ability to co-ordinate and team management
through conduction of projects. Action: Projects pertaining to the latest problems were analysed with frequent interactions from industrial experts and to distribute the work within the team towards its execution of through academic projects P10: 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 Target achieved PO10 1.65 1.09 Ability to present and convey the latest engineering trends Action: Projects pertaining to the latest problems were analysed with frequent interactions from industrial experts and to distribute the work within the team towards its execution of through academic projects. P11: 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. Target marginally missed Planned expert PO11 1.80 1.23 lectures on topics related to project management & finance Action: Conducted Workshopon Fundamentals of Storage Management by Mr.S.Sharma, Artificial Intelligence and Storage Director, Agentz.ai on 24 July 2018 Conducted Expert talk on Node.JS by Ms.Shanmugapriya Executive, Wisen IT Solutions, Chennai on 12 Sep 2018 P12: 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.
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Target achieved Significant improvement in PO12 1.80 1.17 number of students clearing competitive examinations Action: Conducted Expert talk on Sameera Shah, Red Hat Certified Instructor & Technical Consultant, Vectra Technosoft Pvt Ltd on 27 July 2018 Conducted Open source Awareness camp on Mr.Ranjith, Director, Vectra Technologies Pvt.Ltd on 9 Oct 2018
7.2. Academic Audit and actions taken thereof during the period of Assessment (15)
The academic audit is held by External Academic Auditor every Academic year based on questionnaire containing 52 indicators which intends to monitor and enhance the quality of technical education for both teaching faculty and students. This report gives the overall view about the Academic related information and activities which were carried out during the academic year.
The Audit Report covers
Programme and Course Details Faculty and Student Details Diversity of Students Research thrust areas as recognized by major funding agencies Publications Consultancy Student Projects Teaching methodology adopted Awards and Recognition ClassRoom and Lab Details Seminars and Conferences SWOT Analysis Future plans of the Department
Based on the review by External Academic Auditor, the review comments will be given and the action taken report by the department will be submitted to IQAC
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7.3. Improvement in Placement, Higher Studies and Entrepreneurship (10)
Item 2014-2018 2013-2017 2012-2016
Total No. of Final Year Students 44 61 96 (N)
No. of students placed in companies or Government Sector 29 31 41 (x)
No. of students admitted to higher studies with valid qualifying scores (GATE or equivalent State 2 7 6 or National Level Tests, GRE, GMAT etc.) (y)
No. of students turned entrepreneur in 8 10 18 engineering/technology (z)
7.4. Improvement in the quality of students admitted to the program (20) CAY CAYm1 CAYm2 Item (2018- (2017- (2016- 2019) 2018) 2017) National Level Entrance No. of Students admitted - - - Examination (Name of the Opening Score/Rank - - - Entrance Examination) Closing Score/Rank - - - State/Institute/Level Entrance No. of Students admitted 112 85 92 Examination/Others Opening Score/Rank 190 182 185 (Name of the Entrance Closing Score/Rank 100 80 75 Examination) Name of the Entrance No. of Students admitted - 12 27 Examination for Lateral Entry or Opening Score/Rank - 180 185 lateral entry details Closing Score/Rank 100 100 Average CBSE/Any other Board Result of admitted students 76 84 71 (Physics, Chemistry & Mathematics) Table B.7.4.
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CRITERION - 8 First Year Academics 50
8.1. First Year Student-Faculty Ratio (FYSFR) (5) Data for first year courses to calculate the FYSFR:
Number of Number of Faculty Students *Assessment = (5 ×20)/ Year members(considering FYSFR (approved FYSFR (Limited to Max. 5) Fractional load) intake strength) 2018-2019 120 6 20 5 2017-2018 120 10 12 5 2016-2017 120 10 12 5 Average 120 8.67 14.67 5
Table 8.1
8.2. Qualification of Faculty Teaching First Year Common Courses (5)
Assessment of qualification = (5x +3y)/RF, x= Number of Regular Faculty with Ph.D., y = Number of Regular Faculty with Post-graduate qualification RF= Number of faculty members required as per SFR of 20:1, Faculty definition as defined in 5.1 Assessment of faculty Year x Y RF qualification (5x + 3y)/RF
2018-2019 4 2 6 4.3
2017-2018 3 7 10 3.6
2016-2017 3 7 10 3.6
Average Assessment 3.8
Table 8.2
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8.3. First Year Academic Performance (10)
Academic Performance (2017-2018) (2016-2017) (2015-2016) Mean of CGPA or Mean Percentage 6.81 6.66 5.69 of all successful students (X)
Total no. of successful students (Y) 23 37 20 Total no. of students appeared in the 85 91 examination (Z) 70
API = x* (Y/Z) 1.84 2.7 1.62 Average API = (AP1 + AP2+AP3 )/3 2.05
Successful students are those who are permitted to proceed to the second year.
8.4. Attainment of Course Outcomes of first year courses (10)
8.4.1.Describe the assessment processes used together the data upon which the evaluation of Course Outcomes of first year is done(5) For assessing the attainment of the Course Outcomes (COs), a course 15GBE202 of I Semester Communication skills has been taken as a sample in Table 8.4.1 (a). To assess the COs attainment through internal assessment, the attributes used are CAT1, CAT2, CAT3, Model and Assignment and for assessing the University examination, University Mark alone is used.
Assessment Process Evaluation Theory Three continuous assessment tests will be conducted. The test will be conducted for 50 Continuous Assessment Tests marks for the duration of 1.30 Hrs covering 5 units. The last assessment will be a model exam for 100 marks for duration of 3 Hrs. End Semester Examination Will be conducted as per University schedule Laboratory Lab model exam will be conducted after Model Exam completion of all the experiments for 100 marks for a duration of 3 Hrs End Semester Examination Will be conducted as per University schedule Others
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Minimum of 2 Assignment topics per subject will Assignments be given to students The entire class will be divided into three batches where each batch will have 20 to 23 students. A faculty will be allotted for each batch. Every week Tutorials an hour will be conducted for tutorials wherein the faculty will make the students solve more problems. Course Feedback from Student Once in a semester
8.4.2. Record the attainment of Course Outcomes of all first year courses (5)
The set attainment value is fixed based on the performance of students in the university Examination of previous years. Once the set attainment level is reached, the set attainment value is increased for the successive academic years.
Attainment Level 1 (slight): 40% of students scoring more than set attainment level in the final examination.
Attainment Level 2 (moderate): 50% of students scoring more than set attainment level in the final examination.
Attainment Level 3 (substantial): 60 % of students scoring more than set attainment level in the final examination.
**Attainment is measured in terms of actual percentage of students getting set percentage of Marks.
Academic Year (2017-2018)
University Internal
Expe % Attainme Expected % crossing Attainment Total cted crossing nt level target% the level Course attainment targe the target% level t% target%
Semester
15GBE201 100 75 3 3 Technical 100 100 3 English
15GBE001 31 100 40 1 1 Mathematics 1 100 I
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15GBE002 98 100 75 3 3 Engineering 100 3 Physics
15GBE003
Fundamental 100 82 3 100 70 3 3 I s of Computing
15GBE004 Engineering 100 66 3 100 55 2 2 Graphics
15GBE005 Engineering 100 95 3 100 85 3 3 Practices Laboratory 15GBE006 Engineering 100 100 3 100 90 3 3 Physics Laboratory
15GBE007 Computer 100 100 3 100 95 3 3 Practices Laboratory
15GBE202 Communicati 100 100 3 100 90 3 3 on Skills
15GBE008 Mathematics 100 54 2 100 50 2 2 II
15GBE009
Engineering 100 50 2 100 52 2 2
Chemistry
15GBE010 Material 100 93 3 100 85 3 3 Science
15ECS021 Electric II Circuits and 100 49 1 100 55 2 1 Electronic Devices
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15ECS022 Object Oriented 100 69 3 100 68 3 3 Programmin g
15GBE011 Engineering 100 100 3 100 95 3 3 Chemistry Laboratory
15GBE203 Language 100 100 3 100 90 3 3 Laboratory
15ECS023 Object Oriented 100 100 3 100 85 3 3 Programmin g Laboratory
Academic Year (2016-2017)
University Internal
%cro Expe ssing Course cted Attainme Expected %crossing the Attainment Total the attainment
Semester targe nt level target% target% level targe t% level t%
15GBE201 Technical 97 100 75 3 3 English 100 3
15GBE001
Mathematics 24 100 40 1 1 1 I 100
15GBE002 Engineering 100 53 2 100 70 3 2 Physics
I 15GBE003 Fundamental 100 83 3 100 70 3 3 s of Computing
15GBE004 100 65 3 100 55 2 2 Engineering Graphics 100 100 3 100 85 3 3
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15GBE005 Engineering Practices Laboratory
15GBE006 Engineering 100 100 3 100 90 3 3 Physics Laboratory
15GBE007 Computer 100 95 3 100 95 3 3 Practices Laboratory
15GBE202 100 100 3 100 90 3 3 Communicat ion Skills 15GBE008 Mathematics 100 61 3 100 50 2 2 II
15GBE009 Engineering 100 76 3 100 52 2 2 Chemistry
15GBE010 Material 100 73 3 100 85 3 3 Science
15ECS021 II Electric Circuits and 100 71 3 100 55 2 2 Electronic Devices
15ECS022 Object Oriented 100 90 3 100 68 3 3 Programmin g
15GBE011 100 100 3 100 95 3 3 Engineering Chemistry
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Laboratory
15GBE203 Language 100 99 3 100 90 3 3 Laboratory
15ECS023 Object Oriented 100 97 3 100 85 3 3 Programmin g Laboratory
Academic Year (2015-2016)
University Internal
Expect %crossi % Total Course ed ng Attainmen xpected crossing Attainment attainment Semester target the t level target% the level level % target% target%
15GBE201 100 100 100 75 3 3 Technical 3 English
15GBE001 100 49.3 100 40 1 1 Mathematics 1 I
15GBE002 100 35 100 75 3 2 Engineering 1 Physics
15GBE003
100 87 3 100 70 3 3 Fundamenta I ls of Computing 15GBE004 Engineering 100 60.3 3 100 55 2 2 Graphics 15GBE005 Engineering 100 100 3 100 85 3 3 Practices Laboratory 15GBE006 Engineering 100 91 3 100 90 3 3 Physics Laboratory
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15GBE007 Computer 100 82.1 3 100 95 3 3 Practices Laboratory
15GBE202 Communicat 100 100 3 100 90 3 3 ion Skills
15GBE008 Mathematics 100 66 3 100 50 2 2 II
15GBE009 Engineering 100 72 3 100 52 2 2 Chemistry 15GBE010 Material 100 55 2 100 85 3 2 Science 15ECS021 Electric Circuits and 100 50 2 100 55 2 2 II Electronic Devices 15ECS022 Object Oriented 100 73 3 100 68 3 3 Programmin g 15GBE011 Engineering 100 100 3 100 95 3 3 Chemistry Laboratory 15GBE203 Language 100 100 3 100 90 3 3 Laboratory 15ECS023 Object Oriented 100 85 3 100 85 3 3 Programmin g Laboratory
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8.5. Attainment of Program Outcomes from first year courses (20)
8.5.1. Indicate results of evaluation of each relevant PO and/or PSO if applicable (10) PO Attainment: Mention first year details from table 8.5.1 CO –PO Mapping With Correlation Level (CL): (2017-2018)
Table 8.5.1: CO-PO Mapping for Communication Skill
Course PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12
C01 ------2 -- 2 1 3 1 --
C02 ------2 -- 2 1 3 1 --
C03 ------2 -- 2 1 3 1 --
C04 ------2 -- 2 1 3 1 --
C05 ------2 -- 2 1 3 1 --
Direct ------2 -- 2 1 3 1 -- Attainment*
Table B.8.5.1 Table 8.5.1: Course Mapping with PO
Course Course Title P01 P02 P03 P04 P05 P06 P07 P08 P09 P10 P11 P12 Code 18CBECE11 Chemistry 3 3 2 3 2 2 2 1 - - - - Mathematics – I 18CBECE12 (Calculus & 2.5 3 2 1 1 1 1.5 2 - 2 1 2 Linear Algebra) Programming 18CBECE13 for Problem 2 3 3 2 3 3 2 1 - - Solving 18PBECE11 Chemistry Lab 2 3 3 3 2 2 2 - - - - 1 Programming 18PBECE12 for problem 1 2 3 3 3 3 1 - - - - - solving Lab Workshop/Man - 18PBECE13 ufacturing 2 3 3 2 3 3 2 1 - - Practices
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18CBCE21 English 1.5 2 3 1 - 1.5 - 2.5 1.5 2 3 - Physics 18CBCE22 (Semiconductor 2.8 1.8 2.8 2.8 2.8 2.8 2 2 2 - - - Physics) Mathematics – II 18CBCE23 (Probability and 3 3 3 2 3 2 3 - - - - - Statistics) Basic Electrical 18CBCE24 2 2 2 2 3 3 2 2 1 - - Engineering Engineering 18CBCE25 Graphics & 2.6 1.6 2 1.6 1.2 1.4 1.4 1 - 1 1 2 Design 18PBCE21 Physics Lab 3 2 3 2 2 2 2 1 - - - 2 Electrical 18PBCE22 2.5 2 3 3 2 2 2 2 - - - - Engineering Lab 18PBCE23 English Lab 3 - - 2 - 1.7 1.5 2 3 2.4 - 2.4
Average 2.35 2.41 2.67 2.17 2.33 2.17 1.87 1.59 1.87 1.85 1.66 1.88
Round-off 2 2 3 2 2 2 2 2 2 2 2 2
Course Course Title P01 P02 P03 P04 P05 P06 P07 P08 P09 PO PO PO Code 10 11 12 Technical 15GBE201 2.66 2.66 2.66 English - - - - 2 2.2 2.33 2.2 2.66 15GBE001 Mathematics–I 2.3 1.6 1.8 1.8 ------2.7 2.7 Engineerin 2.2 2 1.67 1.67 2 1.67 - - - - - 2 15GBE002 g Physics Fundamentals 15GBE003 of Computing 2 1.8 1.6 1.6 2.2 - - - 2.33 - 2 2.3 Engineerin 15GBE004 g Graphics 2.7 1.4 1.5 1.5 - - - - - 3 3 3 Engineerin
g Practices 2.4 1.4 1 1 1.4 1 2.2 15GBE005 Laboratory 1 - - - 1 Engineering 15GBE006 PhysicsLab 2 1 - - 1 - 2 - 1 - 1 1 Computer
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Practice 15GBE007 Laboratory 2.3 1.2 1.66 1.66 1.2 1.6 - - - - 2 2 Communicatio
15GBE202 n 0.2 ------1 -- 1 2 3 2 3 Skills 15GBE008 Mathematics 1.5 1.4 3 3 ------2.3 2.3 – II Engineering ------15GBE009 Chemistry 2 2.2 2 2 2.4 Material - - - - 15GBE010 Science 2.2 2 2 2.2 2 2.2 2.2 2.2 Electric Circuits 15ECS021 and Electronic 2 2 2 3 2 3 3 - - - - 1 Devices Object Oriented 15ECS022 3 2 2.4 1.3 3 2.2 2 - - 2 1.4 1.7 Programming Engineering 15GBE011 Chemistry 3 3 2 1 2 1 2 2 - - - 2 Laboratory Language 15GBE203 3 - - 2 - 1.7 1.5 2 3 2.4 - 2.4 Laboratory Object Oriented 15ECS023 Programming 2.6 2 2.2 1.3 2.5 2 2 - - 2 1.4 1.7 Laboratory
Average 2.21 1.78 1.91 1.78 1.97 1.73 2.11 1.64 2.19 2.51 2.06 2.06
Round-off 2 2 2 2 2 2 2 2 2 3 2 2
8.5.2. Actions taken based on the results of evaluation of relevant POs (5)
POs & PSOs Attainment Levels and Actions for improvement – CAY only
Target POs Attainment Observations Level
PO1: Apply knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the conceptualization of engineering models.
PO1 2.8 2.5 Target attained
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Action :Trained to gain knowledge in Engineering fundamentals by conducting Bridge course
PO2: Identify, formulate, research literature and solve complex engineering problems reaching substantiated conclusions using first principles of mathematics and engineering sciences.
PO2 2.9 2.3 Difficult to analyze complex Engineering
Action 1: Encouraged to develop their attitude in problem solving ability through tutorial classes Action 2: Advised to practice more number of complex problems by home assignments
PO3: 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.
PO3 2.9 2.5 Difficulty in solving Engineering problems
Action :Encouraged to attend In-plant training in various electrical design companies in order to reach higher attainment level
PO4: Conduct investigations of complex problems including design of experiments, analysis and interpretation of data, and synthesis of information to provide valid conclusions.
PO4 2.5 2.09 Lack of knowledge in methodical investigation
Action :The attainment level can be increased by motivating the students to attend seminars, workshop, symposium, conferences and to do projects in latest research areas
PO5: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.
PO5 2.5 2.31 Inadequate knowledge in modern engineering technology
Action :The higher attainment level can be achieved by conducting various training programs in MATLAB, PSPICE, ETAP and PSIM
PO6:Function effectively as an individual, and as a member or leader in diverse teams and in multi- disciplinary settings.
PO6 2.5 2.31 Need improvement in application of
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Engineering practice technique
Action 1: Conducted orientation program to create awareness about electrical safety for the student Action 2: Conducted extensional activities for the society
PO7: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.
PO7 2.0 1.79 Requireimprovementin understanding impact of professionalEngineering solutions
Action : Conducted awareness program related to environment and sustainability
PO8:Demonstrate understanding of the societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to engineering practice.
PO8 2.0 1.69 Create responsibilities on engineering ethics to engineers
Action 1: Students were trained in ethical principles & responsibilities in order to attain higher level Action 2: More examples on the subject to be practiced by students in extra classes.
PO9:Understand and commit to professional ethics and responsibilities and norms of engineering practice.
PO9 2.5 2.2 Small drop in individual and team work
Action : Students were trained to do individual and team work effectively
PO10:Understand the impact of engineering solutions in a societal context and demonstrate knowledge of and need for sustainable development.
PO10 2.5 1.93 Create knowledge in management aspects for multidisciplinary environments
Action : Even though the target was attained still students were motivated to perform many activities likeinnovative seminar, group discussion, technical quiz, personality development program and to writetechnical articles in order to reach higher attainment level
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PO11: Demonstrate a knowledge and understanding of management and business practices, such as risk and change management, and understand their limitations.
PO11 2.5 1.68 Create knowledge in management aspects for multidisciplinaryenvironments
Action : Motivated to work as a team in multidisciplinary environment to reach high attainment level
PO12: Recognize the need for, and have the ability to engage in independent and life-long learning.
PO12 2.5 1.88 Need to enrich their life-long learning skill
Action : Students are motivated to enrich the knowledge with recent trends and to participate in national and global level students competition
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CRITERION - 9 STUDENT SUPPORT SYSTEMS 50
9.1 Mentoring system to help at individual level (5)
Effective mentoring system is followed in our University to create healthy relationship between faculty members and students. Each faculty member (Mentor) is assigned to handle 20 to 25 students, each mentee is counseled periodically (Bimonthly). The mentors will collect all the details during the first counseling. During mentoring session issues or difficulties experienced by the mentees are recorded and necessary steps are taken to resolve the issues.
OUTCOMES:
•Able to understand student problems and resolve them 1
•Students are able to focus more on academics 2
•Helps Students develop skills and behaviors necessary to succeed professionally. 3
•Mentorship helps students identify new options and opportunities for placement and higher 4 studies.
•Change in attitude of certain students affected by behavioral/habitual disorders 5
•Helps students to develop positive attitude, improve their social skills and also set goals for the 6 future
9.2. Feedback analysis and reward /corrective measures taken, if any (10)
9.2.1 Feedback collected for all courses: YES
9.2.2 Feedback Collection Process
The teaching-learning system followed by any educational institution needs continuous refinement. To capacitate this process of continuous refinement, the institution has adopted a feedback system that takes suggestions from students of each program. This eventually helps to fine-tune the teaching-learning process and the curriculum. The institution follows a well-
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defined and formal feedback system. It has been identified as one of the important process in our Quality Assurance System. The feedback from students regarding the quality of teaching is collected during each semester, the students are asked to respond to a feedback questionnaire. Once the feedback process is complete, the reports are generated. The consolidated report containing grade for each course is sent to the respective Heads of the department and the information is disseminated to the faculty in the department. Corrective actions are taken by the faculty members Students’ feedback regarding the teaching-learning process is also collected from students orally during class committee meetings. In this, students will be required to respond to questions that examine how well they have acquired the skills on learning the respective course.
9.2.3 Percentage of students who participated: 85 -100%
9.2.4 Feedback analysis process
The feedback collected from students are analyzed at the level of HOD and then at the level of faculty appraisal committee. The contents of the feedback will be shared with each faculty member individually. The feedback system works as an eye opener for the faculty. These scores have impact on faculty performance appraisal. Those faculty members with low scores will be counseled and asked to improve their performance in the subsequent semesters by improving teaching Practices and attending pedagogical training and other faculty development programs.
9.3. Feedback on facilities (5)
Assessment is based on student feedback collection, analysis and corrective action taken. Feedback on facilities (Format enclosed) A standard procedure for feedback on facilities is taken up in the department as per the following steps:
Feedback is collected from the students on the facilities available in the department such as class room infrastructure, library, labs, canteen, playground, internet facility, etc. The feedback is analyzed and the necessary corrective measures are implemented after discussions with the management.
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Following are the process of feedback on facilities.
1) Feedback collection process 2) Feedback analysis 3) Corrective measures
1) Feedback collection process:
Feedback collection process Description Feedback collected on all facilities provided by Yes the department.
Feedback collection process Computerized
Frequency of feedback collection Once in an academic year
5-Excellent 4-very good Metrics used for calculation 3-good 2-satisfactory 1-below average
Purpose of comments For improving the quality of facilities.
Questionnaire: 1. Lighting and Ventilation in classrooms 2. Audio & Video Quality in Smart Classroom 3. Quality and Quantity of Furniture 4. Cleanliness in classroom and lab 5. No of Computers sufficient for all students 6. Availability of Software 7. Hygiene and quality of food in canteen 8. No. of Washrooms 9. Availability of ample water supply 10. Quality of drinking Water 11. Support and promotion of sports activities 12. Enough space available to play sports 13. Motivation to participate in outside fests
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Rating of Scale:
5-Excellent 4-very good 3-good 2-satisfactory 1-below average
2) Feedback analysis
The feedback on facilities collected from students is consolidated and analyzed. The HOD will discuss about the consolidated report with the management and come out with necessary actions. 3) Corrective measures
Some of the corrective actions initiated are: Hostel welfare committee is created to monitor the food quality in boys and girls hostel
9.4. Self-Learning (5)
Library facility available beyond workinghours Recorded video lectures of IITs and Anna university experts through NPTEL videos are stored in the systems of ourdepartment. Opportunity to do mini projects during the course has beenencouraged. Learning and implementing concepts beyond the syllabus based on students interest has been greatlyencouraged. Adapting to industrial needs through in-planttraining. Acquiring managerial skills and information through symposiums conducted annually. Participation in activities through Professional bodies and R&Dcell. Availability of the centralized computer facility with internet even beyond working hours.
The above facility has enabled the overall development of our students which is seen with respect to improved placements, participation and success in both curricular and co- curricular activities.
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9.5. Career Guidance, Training, Placement (10)
9.5 Carrier Guidance, training and Placement Date Branch/Institution Company Name Activity Mobile Application Design and Dr.John Cole, University of Texas, International 29 Jun 2015 Development for Dallas, USA Workshop Android Enjoyable Dr.Jeyakesavan , University of International 29 Jun 2015 Programming Texas, Dallas, USA Seminar Mr.ManojKombissan, Co founder& COO, 20 Jul 2015 Big data Hadoop TalhuntNextgen Education Pvt Guest Lecture Ltd, Chennai Network 13 Aug 2015 Livewire Technologies Workshop Technologies Introduction to Army Life and breaking Brig APS Pakianathan myths attached to career in forces 25 Aug 2015 Guest Lecture
Opportunities Mr.Surendran available for students (Head-Operations) after graduation Digital Marketing and Zion Infotech 3 Sep 2015 Search Engine Seminar Chennai optimization How to write a Dr.S.Arun 30 Jan 2016 technical paper and Associate Professor, Workshop get it published Dept of CSE/VISTAS Android – Mobile Mr.Dhandayuthapani, 8 Feb 2016 Application Seminar Iframes Technologies Development 1 Mar 2016 Mr.Ramachandran Big Data Analytics Workshop 361o minds Mr.P.Sarvanan 2 Mar 2016 Java Technologies Seminar NIIT 20 Jul 2016 Project Training Test Ms. Janani, Consultant, Training
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REVATURE Consultancy Services Ms.GayathriMagie, Business 30 Jul 2016 Internet of Things Workshop Development Executive, IBM Scope for Higher 31 Aug 2016 Time Institute Seminar studies 1 Sept 2016 Awareness Program Vista Mind Seminar Dr. S.Sadagopan 7 Sep 2016 Motivational Speech Secretary, Bharathidhasan IAS Seminar for IAS Academy Mr.G.Sathyamoorthy, Expectations of IT 26 Sep 2016 HR Manager, Seminar industry HCL Technologies Dr.G.Giridhar 5 Oct 2016 Pravesha’16 Symposium Deputy Director General, NIWE R.Sophia Rani, Senior Technical 31 Jan 2017 Current Technologies Technical Talk Specialist, Revature, Chennai Business Analytics Mr.Vignesh,, Trainer, Livewire 7 Feb 2017 Seminar and Virtualization Technologies Initialization of Robotic Club and T.Prashanth, NTU and Mr.Mahesh 15 Feb 2017 Seminar Innovative Contest Kumar, Calibsoft on Mobile Robots Android App Ms.PonmalarKathiresan, 1 Mar 2017 Seminar Development EyeOpen Technologies Dr.P.Sivakumar, Director,CVRDE, Avadi, International Dr.JaakTruu,&Dr.MarikaTruu, Conference on University of Tartu 9 & 10 Mar Knowledge Discovery Dr.S.Venugopal, IGCAR, International 2017 and Computational Mr.SantoshGopynadhan, Director Conference Intelligence ICKDCI Product Management, The 2017 Advisory Board Company, Mr.Krishnan, Scientist, IGCAR, Kalpakkam. Mr.Yuvaraj, Recent Trends in 26 Jul 2017 Senior Trainer Seminar Cloud Computing Power IT Services Innovation and IOT Mr.Aditya Nair, 31 Aug 2017 Workshop Practices Senior Executive Accrediation,
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Rocheston, Newyork Skill 21& 22 Sep Mr.SureshVidyanathan, CEO, Python Programming Development 2017 Grafware International, Chennai Workshop Mr.Raj Gregriya India Biz for sale, 1 Feb 2018 Cloud Computing Seminar Chennai Ms.Ananthee Digital 21 Feb 2018 Group Leader Seminar Transformation NIIT Limited Ms.Mary Theresa Rani Hands on training 26 Feb 2018 Territory Delivery Head NIIT Workshop “PYTHON” Limited OOLA Portal for Class I- Video Conference 17 Mar 2018 IIT Mumbai KV Teachers' Session interaction Mr.KarpooraSundar Selenium Testing Selenium & Advanced Java 20 Mar 2018 Seminar Tool Trainer
Dr.K.Balaraman, Director General, NIWE International Dr.KennethSundaraj, Faculty of Conference on 5 & 6 Apr ECE, UniversitiTeknikal Melaka, International Current Trends in 2018 Malaysia Conference Data Science and Dr.M.BalasubramanyamDirector Virtualization Research, Madras Diabetes Research Foundation
9.6 Entrepreneurship Cell
In order to nurture the entrepreneur skill among the students, the institution is having a full-fledged Entrepreneurship Development Cell (EDC). This cell periodically organizes various events to know the importance of being an entrepreneur and ways to get assistance to become an entrepreneur Arranges motivational lectures by young entrepreneurs Encourages the student members to participate in competitions organized by various educational institutions and organizations
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Guest Lectures are arranged by personnel from industries to highlight the process of how to go about starting an enterprise. In 2016-17 Entrepreneurship Orientation Programme was conducted inOctober 2016
Figure: 9.6 a Entrepreneurship Orientation Programme
Figure: 9.6 b Entrepreneurship Orientation Programme
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9.7. Co-curricular and Extra-curricular Activities (10)
VELS Institute of science, technology and advanced research encourages the students for various sports and physical activities. Our department students are participating in various activities inside and outside colleges. Our Institution provides concerned facilities for Indoor as well as Outdoor sports and other allied activities. Students are engaged in co-curricular and extra-curricular activities and field trips through student chapters and forums, which provide opportunities for students to explore new fields of interest, cultivate leadership skills, and learn teamwork. In this regard, institution has formed various committees for participating and organizing the cultural and sports activities. Every department has its own association through which various department symposiums, project expo and other technical and non- technical events are being conducted. These association activities benefit in developing leadership skills and make them work in teams. (2018-2019) S.No Student Name Date Event Title Venue Prize/Participation
Euphoria’19 PSG College of 1 S.Sairam 02.03.2019 – Capture Arts & Science, First Prize the Frame Coimbatore. KPR Institute of 02.03.2019 MEETUP 3.0 Engineering 2 S.Sairam - - and Second Prize 03.03.2019 Photography Technology, Coimbatore. KPR Institute of 02.03.2019 Engineering MEETUP 3.0 3 S.Sairam - and First Prize - Dance 03.03.2019 Technology, Coimbatore. Workshop Azure Skynet 02.03.2019- 4 N.Yuvaraj on Cyber Solutions Pvt. Participation 03.03.2019 Security Ltd., Hyderabad Short Term Training SRM Institute of 05.02.2019 Program on Science and 5 V.Shreyas - Deep Technology, Cash Prize 09.02.2019 Learning Kattankulathur- and its 603203 Applications
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(2017-2018) S.N Prize/ Student Name Date Event Title Venue o Participation 31.01.2018 Anna 1 Bhavani - IBM - Block Chain University,Gui Participation 03.02.2018 ndy 31.01.2018 Anna HaniferSangeet 2 - IBM - Block Chain University,Gui Participation ha 03.02.2018 ndy 31.01.2018 Anna 3 Manoj Kumar - IBM - Block Chain University,Gui Participation 03.02.2018 ndy 31.01.2018 Anna 4 Keshav - IBM - Block Chain University,Gui Participation 03.02.2018 ndy 08.03.2018 National Level ShivendraKatiy J.N.N Institute 5 - HackathonProgra Participation ar of Engineering 09.03.2018 mme Chennai Seed the Future- 6 Faiz Khan 02.03.2018 Institute of Participation Save the Farmers Technology Chennai Mohammed Seed the Future- 7 02.03.2018 Institute of Participation Sayeed Khan Save the Farmers Technology Chennai Mohammed Seed the Future- 8 02.03.2018 Institute of Participation Sayeed Khan Save the Farmers Technology R.Mohamed MIT, Anna 9 02.03.2018 Prayatna'18 Participation Ibrahim University Sri Sai Ram Coding & Institute of 10 A.SwethaSai 09.08.2017 Participation Debugging Technology, Chennai. Sri Sai Ram P.KusumKuma Google It & Institute of 11 09.08.2017 Participation ri Debugging Technology, Chennai. Sri Sai Ram Paper Institute of 12 T.Santhosh 09.08.2017 Presentation & Participation Technology, Surprise Event Chennai. Sri Sai Ram Paper Institute of 13 T.Vignesh 09.08.2017 Presentation & Participation Technology, Surprise Event Chennai. Sri Sai Ram Google It & Institute of 14 S.Suresh 09.08.2017 Participation Debugging Technology, Chennai. Google It & Sri Sai Ram 15 SaiPaviratha 09.08.2017 Participation Debugging Institute of
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Technology, Chennai.
Sri Sai Ram Web Designing & Institute of 16 E.Yogaraj 09.08.2017 Participation Surprise Event Technology, Chennai. Sri Sai Ram Web Designing & Institute of 17 R.G.AjayBarath 09.08.2017 Participation Surprise Event Technology, Chennai. Sri Sai Ram Google It & Institute of 18 ShrishtiDubey 09.08.2017 Participation Debugging Technology, Chennai. Generix 2018 - R.M.D 19 B. Akshaya 26.02.2018 Certificate of Engineering First Prize Merit College Mir Cambridge Java Level 2 Achievement 20 Mohammed 23.01.2018 Certification Qualification Award Taqi Authority H. Mohammed 26.01.2018 11th Senior State TamilnaduFist 21 Sayeed Khan - Fistball ball Runners Lodi 28.01.2018 Championship Association H. Mohammed 1st Senior State TamilnaduFist 12.01.2018- 22 Sayeed Khan Fistball ball Winners 14.01.2018 Lodi Championship Association December Distinguished Hasura Ashutosh 2017 - Fellow Award / Achievement 23 Technologies Kumar Panda Febraury Certificate of Award Pvt. Ltd 2018 Achivement Santhosh Wipro Chennai Marina, 24 03.12.2017 Participation Shady Marathon Chennai Mir Cambridge Java Level 1 Achievement 25 Mohammed 17.12.2017 Certification Qualification Award Taqi Authority College of 31.01.2018 Engineering BhagavathGeet Alcatraz, Death 26 – ,Guindy , Anna Participation han note, circuit crazy 03.02.2018 University, Chennai. 31.01.2018 College of Engineering – Alcatraz, Death 27 Ahjayram ,Guindy , Anna Participation note, circuit crazy 03.02.2018 University, Chennai. 31.01.2018 College of Engineering – Alcatraz, Death 28 Bhavani ,Guindy , Anna Participation note, circuit crazy 03.02.2018 University, Chennai.
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31.01.2018 College of Engineering – Alcatraz, Death 29 Dhanalakshmi ,Guindy , Anna Participation note, circuit crazy 03.02.2018 University, Chennai. 31.01.2018 College of Mohammed Engineering – Alcatraz, Death 30 Maahin ,Guindy , Anna Participation note, circuit crazy Ibrahim 03.02.2018 University, Chennai. 31.01.2018 College of Engineering – Alcatraz, Death 31 Mohan Rajan ,Guindy , Anna Participation note, circuit crazy 03.02.2018 University, Chennai. Biz quiz, Ninja Coding, circuit College of 31.01.2018 crazy, Datathon, Engineering – Modulo, 32 Santhosh.T ,Guindy , Anna Participation management, 03.02.2018 University, Choas theory, Chennai. Heptathlon, Snap it up Biz quiz, Ninja Coding, circuit 31.01.2018 crazy, Datathon, College of Modulo, Engineering – 33 Yogaraj management, ,Guindy , Anna Participation 03.02.2018 Choas theory, University, Participation Chennai. Heptathlon, Snap it up Biz quiz, Ninja Coding, circuit College of 31.01.2018 crazy, Datathon, Engineering – Modulo, 34 Ajay Bharath ,Guindy , Anna Participation management, 03.02.2018 University, Choas theory, Chennai. Heptathlon, Snap it up Biz quiz, Ninja Coding, circuit College of 31.01.2018 crazy, Datathon, Engineering – Modulo, 35 Suresh.s ,Guindy , Anna Participation management, 03.02.2018 University, Choas theory, Chennai. Heptathlon, Snap it up 31.01.2018 Biz quiz, Ninja College of Coding, circuit Engineering – 36 Rubeshkumar crazy, Datathon, ,Guindy , Anna Participation 03.02.2018 Modulo, University, management, Chennai.
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Choas theory, Heptathlon, Snap it up Biz quiz, Ninja Coding, circuit College of 31.01.2018 crazy, Datathon, Engineering – Modulo, 37 Surendar ,Guindy , Anna Participation management, 03.02.2018 University, Choas theory, Chennai. Heptathlon, Snap it up Biz quiz, Ninja Coding, circuit College of 31.01.2018 crazy, Datathon, Engineering – Modulo, 38 Franka.S ,Guindy , Anna Participation management, 03.02.2018 University, Choas theory, Chennai. Heptathlon, Snap it up Biz quiz, Ninja Coding, circuit College of 31.01.2018 crazy, Datathon, Engineering Shanmugapriy – Modulo, 39 ,Guindy , Anna Participation a.G management, 03.02.2018 University, Choas theory, Chennai. Heptathlon, Snap it up Biz quiz, Ninja Coding, circuit College of 31.01.2018 crazy, Datathon, Engineering – Modulo, 40 Ishwarya.B ,Guindy , Anna Participation management, 03.02.2018 University, Choas theory, Chennai. Heptathlon, Snap it up Biz quiz, Ninja Coding, circuit College of 31.01.2018 crazy, Datathon, Engineering – Modulo, 41 SaiPavithra ,Guindy , Anna Participation management, 03.02.2018 University, Choas theory, Chennai. Heptathlon, Snap it up Biz quiz, Ninja Coding, circuit College of 31.01.2018 crazy, Datathon, Engineering Shamitha – Modulo, 42 ,Guindy , Anna Participation Reddy management, 03.02.2018 University, Choas theory, Chennai. Heptathlon, Snap it up
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Biz quiz, Ninja Coding, circuit College of 31.01.2018 crazy, Datathon, Engineering – Modulo, 43 Sana Fathima ,Guindy , Anna Participation management, 03.02.2018 University, Choas theory, Chennai. Heptathlon, Snap it up Biz quiz, Ninja Coding, circuit College of 31.01.2018 crazy, Datathon, Engineering – Modulo, 44 Sneha ,Guindy , Anna Participation management, 03.02.2018 University, Choas theory, Chennai. Heptathlon, Snap it up Biz quiz, Ninja Coding, circuit College of 31.01.2018 crazy, Datathon, Engineering – Modulo, 45 SaiSwetha ,Guindy , Anna Participation management, 03.02.2018 University, Choas theory, Chennai. Heptathlon, Snap it up Biz quiz, Ninja Coding, circuit College of 31.01.2018 crazy, Datathon, Engineering – Modulo, 46 KusumKumari ,Guindy , Anna Participation management, 03.02.2018 University, Choas theory, Chennai. Heptathlon, Snap it up Biz quiz, Ninja Coding, circuit College of 31.01.2018 crazy, Datathon, Engineering – Modulo, 47 SwethaSai ,Guindy , Anna Participation management, 03.02.2018 University, Choas theory, Chennai. Heptathlon, Snap it up Biz quiz, Ninja Coding, circuit College of 31.01.2018 crazy, Datathon, Engineering – Modulo, 48 Shristi ,Guindy , Anna Participation management, 03.02.2018 University, Choas theory, Chennai. Heptathlon, Snap it up 31.01.2018 College of Engineering – Alcatraz, Death 49 Rahul Krishna ,Guindy , Anna Participation note, circuit crazy, 03.02.2018 University, Chennai.
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Biz quiz, Ninja Coding, circuit College of 31.01.2018 crazy, Datathon, Engineering – Modulo, 50 AkileshKannan ,Guindy , Anna Participation management, 03.02.2018 University, Choas theory, Chennai. Heptathlon, Snap it up Biz quiz, Ninja Coding, circuit College of 31.01.2018 crazy, Datathon, Engineering – Modulo, 51 Ramkumar ,Guindy , Anna Participation management, 03.02.2018 University, Choas theory, Chennai. Heptathlon, Snap it up Biz quiz, Ninja Coding, circuit College of 31.01.2018 crazy, Datathon, Engineering Mohammed – Modulo, 52 ,Guindy , Anna Participation Thakir management, 03.02.2018 University, Choas theory, Chennai. Heptathlon, Snap it up Biz quiz, Ninja Coding, circuit College of 31.01.2018 crazy, Datathon, Engineering Rashma – Modulo, 53 ,Guindy , Anna Participation Begum management, 03.02.2018 University, Choas theory, Chennai. Heptathlon, Snap it up Biz quiz, Ninja Coding, circuit College of 31.01.2018 crazy, Datathon, Engineering – Modulo, 54 Anand ,Guindy , Anna Participation management, 03.02.2018 University, Choas theory, Chennai. Heptathlon, Snap it up 31.01.2018 College of Engineering – Alcatraz, Death 55 Nithiez ,Guindy , Anna Participation note, circuit crazy 03.02.2018 University, Chennai. 31.01.2018 College of Engineering – Alcatraz, Death 56 Vignesh ,Guindy , Anna Participation note, circuit crazy 03.02.2018 University, Chennai. College of 31.01.2018 Alcatraz, Death 57 Chandru Engineering Participation – note, circuit crazy ,Guindy , Anna
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03.02.2018 University, Chennai.
(2016-2017) Event Prize/ S.No Student Name Date Venue Title Participation
17.03.2017- CIPET, 1 Ram Kumar.M CIPOFEST Participation 18.03.2017 Chennai.
Mohamed 17.03.2017- CIPET, 2 CIPOFEST Participation Tharik.s 18.03.2017 Chennai.
17.03.2017- CIPET, 3 Anand.L CIPOFEST Participation 18.03.2017 Chennai.
AkileshKannan.A. 17.03.2017- CIPET, 4 CIPOFEST Participation K 18.03.2017 Chennai.
National Mohamed 20.02.2017- VISTAS , 5 Conferenc Participation Tharik.s 21.02.2017 Chennai e
National SelvaMuthuKuma 20.02.2017- VISTAS , 6 Conferenc Participation ran.B 21.02.2017 Chennai e
National 20.02.2017- VISTAS , 7 Anand.L Conferenc Participation 21.02.2017 Chennai e
Chennai 8 Santhosh Aero 08.01.2017 Marathon Marathan, Participation Wipro
National AkileshKannan.A. 20.02.2017- VISTAS , 9 Conferenc Participation K 21.02.2017 Chennai e
VIT 15.09.2016- 10 Soloman David Gaming University, Participation 17.09.2016 Chennai
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VIT 15.09.2016- 11 Gokulnath.U Gaming University, Participation 17.09.2016 Chennai
(2015-2016) S.N Student Prize/ Date Event Title Venue o Name Participation National PERI Institute 1 A.R.Rahaman 16.09.2015 symposium- I of Technology mathathon National PERI Institute 2 M.Ragavan 16.09.2015 symposium- I of Technology mathathon National PERI Institute 3 R.Prithivi raj 16.09.2015 symposium- I of Technology mathathon National PERI Institute 4 Siva Sundaram 16.09.2015 symposium- I of Technology mathathon National St.Joseph’s 5 M.Ragavan 08.09.2015 symposium- College of III Ping a Pic Engineering National M.NoorulAme PERI Institute 6 15.09.2015 symposium- Participated en of Technology Quiz National PERI Institute 7 S.Janani 15.09.2015 symposium- Participated of Technology Quiz National PERI Institute 8 V.Deepika 15.09.2015 symposium- Participated of Technology Quiz National PERI Institute 9 E.Kayalvizhi 15.09.2015 symposium- Participated of Technology Quiz 14.09.2015 Saveetha Drestein’15 - 10 E.Kayalvizhi - Engineering Participated Dubsmash 16.09.2015 College 14.09.2015 Saveetha Drestein’15 – 11 E.Kayalvizhi - Engineering Participated Clue Linker 16.09.2015 College 14.09.2015 Saveetha Drestein’15 – 12 E.Kayalvizhi - Engineering Participated Alma Fiesta 16.09.2015 College 14.09.2015 Drestein’15 - Saveetha 13 V.Deepika Participated - Dubsmash Engineering
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16.09.2015 College
14.09.2015 Saveetha Drestein’15 – 14 S.Janani - Engineering Participated Clue Linker 16.09.2015 College 14.09.2015 Saveetha Drestein’15 – 15 S.Janani - Engineering Participated Alma Fiesta 16.09.2015 College 14.09.2015 Saveetha Drestein’15 - 16 S.Janani - Engineering Participated Dubsmash 16.09.2015 College 14.09.2015 Saveetha M.NoorulAme Drestein’15 – 17 - Engineering Participated en Clue Linker 16.09.2015 College 14.09.2015 Saveetha M.NoorulAme Drestein’15 – 18 - Engineering Participated en Alma Fiesta 16.09.2015 College 14.09.2015 Saveetha M.NoorulAme Drestein’15 - 19 - Engineering Participated en Dubsmash 16.09.2015 College National Level Saveetha C.H.Pawan Program 20 11.05.2015 Engineering Participated Chand on”Java Web College service” National Level Saveetha Program 21 Y.Y.Sai Kumar 11.05.2015 Engineering Participated on”Java Web College service” National Level Saveetha Program 22 P.Ranjith 11.05.2015 Engineering Participated on”Java Web College service” National Level Saveetha S.R.Rohith Program 23 11.05.2015 Engineering Participated Ready on”Java Web College service” National M.K.Ashwinku SSN college of 24 01.09.2015 Symposium- Participated mar Engineering Paradigm National M.Salman SSN college of 25 01.09.2015 Symposium- Participated khan Engineering Paradigm National SSN college of 26 A.R.Rahman 01.09.2015 Symposium- Participated Engineering Paradigm National SSN college of 27 R.Praveen raj 01.09.2015 Symposium- Participated Engineering Paradigm National SSN college of 28 E.Tamilarasu 01.09.2015 Symposium- Participated Engineering Paradigm
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Sri National Venkateswara 29 M.Ragavan 03.09.2015 Participated Symposium College of Engineering Sri National Venkateswara 30 A.R.Rahman 03.09.2015 Participated Symposium College of Engineering Sri M.Salman National Venkateswara 31 03.09.2015 Participated khan Symposium College of Engineering Sri M.K.Ashwinku National Venkateswara 32 03.09.2015 Participated mar Symposium College of Engineering Sri National Venkateswara 33 S.Vimal 03.09.2015 Participated Symposium College of Engineering Sri National Venkateswara 34 Prithiviraj 03.09.2015 Participated Symposium College of Engineering National Dhanalakshmi 35 R.Deepa 27.08.2015 Symposium- College of Participated Debugging Engineering
National Dhanalakshmi 36 Devaraj 27.08.2015 Symposium- College of Participated Debugging Engineering
National Dhanalakshmi G.ManikandaP 37 27.08.2015 Symposium- College of Participated rabu Debugging Engineering
National Dhanalakshmi 38 A.Abhinath 27.08.2015 Symposium- College of Participated Debugging Engineering
National Dhanalakshmi 39 A.Kumaravel 27.08.2015 Symposium- College of Participated Debugging Engineering
National Dhanalakshmi 40 S.Vimal 27.08.2015 Symposium- College of Participated Debugging Engineering
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CRITERION - 10 Governance, Institutional support and Financial 120 Resources
10.1. Organization, Governance and Transparency (55)
10.1.1. State the Vision and Mission of the Institute (5) BOARD OF MANAGEMENT VISION To make the Institute an epitome of Excellence in higher education by ACADEMIC COUNCIL effectively providing high quality education and rigorous training to students in multiple streams of choice with ample scope for all round development to make them FINANCE COMMITTEE excel in their profession for betterment of the society. PLANNING & MONITORINGBOARD
MISSION Effectively imparting knowledge and inculcating innovative thinking. Facilitating skill enhancement through add-on courses and hands-on training. Doing original, socially relevant, high quality research. Facilitating appropriate co-curricular, extracurricular and extension activities. Instilling the spirit of integrity, equity, professional ethics and social harmony.
QUALITY ASSURANCE The University has established a system of Quality Assurance to enhance and monitor the quality of education. Quality Advisory Committee and Internal Quality Assurance Cell are working towards this goal.
CORE VALUES We believe that: VISTAS students and scholars should be well-founded on the pursuit of knowledge through, teaching and learning research, with fellowships required on the basis of intellectual merit, ability and the potential for excellence.
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Perspectives, arising from diverse knowledge background, that re-define our identities, deepen scholarly inquiry and enrich path breaking newer knowledge horizon. Cherish the key values of academic freedom, creative and innovative thought, ethical standards and integrity, accountability and social justice, nurturing open mind and open society. Foster inquiry‐led and evidence‐based approach to creative knowledge; facilitate a vibrant academic ambience to the nurture the intellectual climate.
10.1.2. Availability of the Institutional Strategic Plan and its Effective Implementation and Monitoring (25)
Institutional Strategic Plan VISTAS plans strategically based on the feedback from different stakeholders. After the NAAC visit in 2015, few strategic areas were taken to improve the quality. They are as follows
a) Perspective Plan of VISTAS 2015-2033
Figure 10.1 Perspective Plan of VISTAS 2015-2033
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b) Strategic Plan to improve research b 1. Publications In 2015, it was decided to improve publications in Scopus indexed journals
Implementation It was instructed that all Professors & Associate Professors have to publish minimum 3 articles in Scopus indexed journals and for Assistant Professors it was instructed as 1 per faculty All faculty members who publish articles in Scopus indexed journals were provided with incentive of Rs.5000 per article The faculty with maximum publications were awarded during teachers day
Monitoring Monthly reports are collected from all departments and given to Registrar The number of articles published in scopus indexed journals for the year of 2014 was 36 and now at the end of December 2018 it was 537
2014 2015 2016 2017 2018
36 121 252 486 537
b 2. Projects To improve the projects funding from external agencies Implementation Providing Vels Seed grants 1. Call for proposals 2. Evaluating & Selecting Proposals 3. Providing Seed Grants
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Monitoring VC & Director IQAC will be monitoring the projects which are granted in Vels Seed In 2017-2018 No Of Proposals received :84 No of Projects sanctioned :40 Project Value :Rs.37,53,745 No of Publications :49 No of Patents submitted :7 20 projects were selected and forwarded to external agencies for major funding b 3. Ph.D To improve the quantity & quality of Ph.D Scholars Implementation Recruitment of Professors and Associate professors in every department to guide the scholars Internal faculty are motivated to register for Ph.D by being provided with 50% concession in the Ph.D Fee Providing incentives for publications Turnitin license was purchased to improve the quality of research articles Monitoring Every 6 months research scholars have to conduct DC. Meeting Every scholar is to provide a report on the work done in past 6 months In the year 2015,the acceptable level of Plagiarism was 30% and later it was reduced to 25% and in 2018 it was fixed as 10% to increase the quality of the thesis as per UGC recommendation
c) Strategic Plan to improveTeaching Learning Process To create ICT enabled culture Implementation All the classrooms were provided with LAN connection Projectors and Laptops were provided
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FDP on pedagogy is conducted atleastonce in a year Edutech enabled classrooms were setup to record lectures and own Video contents were developed by the faculty of VISTAS Separate classroom was available for SWAYAM PRABHA (a group of 32 DTH channels devoted to telecasting of high-quality educational programmes on 24X7 basis using the GSAT-15 satellite.) Monitoring Lesson plan is frequently checked and staffs were motivated to effectively use the ICT Facility MOODLE- online video lecture portal of VISTAS is reviewed
d) Strategic Plan towards Students Support Implementation Personality Development classes were regularly conducted Classes for GATE, IAS & other such competitive exams were conducted Conducting Entrepreneur training programs Motivating the students through Interactions with Alumini
Monitoring Constantly monitoring the impact of various activities
e) Strategic Plan to wards Continuous improvement Implementation Conduct of Annual Academic and Administrative Audit every year by all the departments
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Figure 10.2 Process for Academic and Administrative Audit
Monitoring Suggestions by External Experts are given and necessary action is taken based on the report.
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10.1.1. Governing body, administrative setup, functions of various bodies, service rules, procedures, recruitment and promotional policies(10)
Governing Body MEMBERS OF THE BOARD OF MANAGEMENT (as per UGC Regulations 2016)
Table 10.1 Members of Board of Mangement
Section 5.7 (i) 1. Dr. P. Swaminathan CHAIRPERSON Vice-Chancellor, VISTAS, Pallavaram, Chennai-600117. Section 5.7(ii) Nil PRO-VICE CHANCELLOR Section 5.7 (iii) 2. Dr. E.N. Ganesh DEAN OF FACULTIES NOT Dean, School of Engineering EXCEEDING TWO ( BY VISTAS, Pallavaram,Chennai-600 117 ROTATION BASED ON 3. SENIORITY) Dr.M.Chandrasekaran Dean, Academic Courses & Director, Dept. of Mechanical Engineering School of Engineering VISTAS, Pallavaram,Chennai-600 117 Section 5.7 (iv) 4. Dr.S.P.Thiyagarajan THREE EMINENT Former, Vice Chancellor, ACADEMICIANS University of Madras NOMINATED BY THE Professor of Eminence - Research Sri CHANCELLOR Ramachandra University No.1 Ramachandra Nagar, Porur, Chennai-116. 5. Dr.K.Muthuchelian, Former, Vice Chancellor, Periyar University Chairperson School of Energy Sciences, Madurai Kamaraj University, Madurai.21
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6. Prof.C.Thangamuthu Former Vice- Chancellor, Bharathidasan University, No.74, Agni Charity, ChettiyarAgaram Road (Behind Porur Ramachandra Hospital), Porur, Chennai – 600116 Section 5.7 (v) 7. Nomination yet to be received from UGC UGC NOMINEE
Section 5.7 (vi) Dr.V.Rajendran, TWO TEACHERS (FROM HOD, Dept. of ECE, PROFESSORS, ASSOCIATE 8 School of Engineering, VISTAS, PROFESSORS) BY Pallavaram,Chennai-600 117 ROTATION BASED ON SENIORITY Section 5.7 (viii) 9 Dr.V.Vijaya Kumar MAXIMUM OF FOUR (Former Vice Chancellor, Tamil Nadu NOMINEES OF THE Dr.Ambedkar LawUniversity) SPONSORING SOCIETY Director, National Law School of India University, Bhopal 10 Dr. R.Srinivasan MemberSecretary Tamil Nadu State Council for Science and Technology, DOTE Campus, Sardar Patel Road, Guindy, Chennai-600025. 11 Dr. W. Selvamurthy Chancellor - Amity University Chhattisgarh J-3, Block, First Floor, Room #ll4, Amity Univerisyt, Secctor-125, Noida – 201313 (UP)
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12 Dr. M. Rajaram, IAS (Retd.) 4/59, Luz Avenue, Mylapore, Chennai- 600004 Section 5.7(ix) 13 Dr. A.R. Veeramani MEMBER Registrar, SECRETARY VISTAS, Pallavaram,Chennai-600 117
Rules and Responsibility of Governing Body (Board of Management (BOM)): All policy decisions are taken by the BoM. Few of them are as follows 1. Framing various policies and regulations of the Institution like student admission, fees structure, faculty recruitment, salary, leave rules for the staff, promotion and budgetallotment. 2. Providing the facilities or equipments for the development of theInstituition. 3. Approve the request for developing infra structure and implementing the new program of study leading to award ofdegree
Meetings conducted by governing body (Board of Management (BOM)) Meetings will be conducted twice per semester
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Administrative Structure
Figure 10.3 Administrative Structure
Academic Structure
Figure 10.4 Academic Structure DEPT. OF COMPUTER VELS INSTITUTE OF SCIENCE, TECHNOLOGY 208 SCIENCE & ENGINEERING AND ADVANCED STUDIES (VISTAS)
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Committees For the smooth functioning of the Institution various committee functions. Some of them are as follows:
The members present in the committee can be viewed in our website http://velsuniv.ac.in/committees.asp
Class Level Committee Sports Committee Hostel Advisory Committee Cultural Committee Women Development Cell Discipline Committee Anti-ragging Committee Grievance Redressal Committee Sexual Harassment Prevention Committee Library Committee Students Affairs Advisory Committee Dalit Students Grievance Transport Committee Extension Activities Committee Women Welfare Committee
SERVICE RULES AND PROCEDURES Service Rules are stated in the HR manual and in the appointment order The service at this institution shall take effect from the date of joining date 1. The service at this institution shall take effect from the date of joining date 2. The staff shall be on probation for a period of 2years from the date of his / her joining date and services will be regularized subject to the successful completion of probation 3. The teacher shall have to work under the supervision and guidance of the vice chancellor and the Registrar besides the head of the Department and discharge official duties connected with
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setting up of Educational, Research & Extension activities of the Institution and render such other assistance as may be assigned by the authorities of the Institution from time to time. 4. A teacher of the Institution shall be a whole time salaried employee of the Institution and shall devote his/ her whole time to the Institution. No whole time salaried teacher of the Institution shall without the permission of the Board of Management engage directly or indirectly in any trade or business whatsoever or any private tuition or other work to which any emoluments or honorarium is paid. 5. Apart from giving lectures to the students of the department and other departments of the institution where courses are conducted on interdisciplinary basis, the teacher shall have to engage in personal research work of funded research projects, guiding research students and publishing research papers in high impact factor journals. He/ She has to publish atleast two Research articles in an academic year. 6. The teacher shall be governed by the Statutes and Bye-Laws of VISTAS, which include professional ethics and code of conduct and discipline for avoidance of sexual harassment besides VISTAS Employees. 7. The teacher will not be permitted to leave the institution during the Academic year. In case the teacher wants to leave the institution in the middle of the academic year, 3 months prior notice is expected by either ends. 8. The teacher headquarters shall be at Chennai. If the teacher desires to move out of the headquarters on official business or otherwise, prior permission shall be obtained from the Registrar.
HR policies are stated in the HR manual VISTAS students and scholars should be well-founded on the pursuit of knowledge through, teaching and learning research, with fellowships required on the basis of intellectual merit, ability and the potential for excellence. Cherish the key values of academic freedom, creative and innovative thought, ethical standards and integrity, accountability and social justice, nurturing open mind and open society. Foster inquiry-led and evidence-based approach to creative knowledge; facilitate a vibrant academic ambience to the nurture the intellectual climate. DEPT. OF COMPUTER VELS INSTITUTE OF SCIENCE, TECHNOLOGY 210 SCIENCE & ENGINEERING AND ADVANCED STUDIES (VISTAS)
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1. Policy for Leaves available to staff of different cadre 2. Policy for Attendance registration and Leave Application processing in Biometric Attendance Recording. 3. Policy for Early Leaving/Late Coming/Movement Outside Campus 4. Faculty Promotion Policy 5. Promotional Policy for Ph.D. Program 6. Promotional Policy for International collaboration
VISTAS faculty have the extent of awareness about the promotional policy and the academic freedom and the ethical standards. Faculty understand the quality policy and intimate the quality objectives to students. They communicate with the students for personality development and academic pursuits Students have the awareness related to the perspectives, arising from diverse knowledge background that re-define our identities, deepen scholarly inquiry and enrich path breaking newer knowledge horizon.
10.1.2. Decentralization in working and grievance redressal mechanism (5) GRIEVANCE REDRESSAL COMMITTEE (VISTAS) Table 10.2 Details of Members in Grievance Redressal Committee (VISTAS)
S.No. Name Designation CHAIRMAN 1 Dr. P.R. Ramakrishnan Dean, School of Management Studies. CO-CONVENOR 2 Dr. S. Ambika Kumari Director, School of Law. MEMBERS 3 Dr.M.Chandran Professor and Head, School of Management Studies and Commerce. 4 Ms.K.Kalaivani Asst. Professor and Head of CSE, School of Engineering. DEPT. OF COMPUTER VELS INSTITUTE OF SCIENCE, TECHNOLOGY 211 SCIENCE & ENGINEERING AND ADVANCED STUDIES (VISTAS)
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5 Dr.P.Mayilvahanan Professor, school of Computing Science. 6 Dr. V. Muthuraman Asso.Professor Mechanical Engg., School of Engineering. STUDENT’S NOMINEE 7 Mr. S. Sundharsan MBA - II Year(General) NO.6, Thiruvalluvar cross st, Pallikaranai, Chennai – 600 100. 8 Mr. AaditNarendar B.E – IV Year CSE 12, Kailasapuram, 4th street, Dr.Radhakrishnan Road, Mylapore, Chennai- 600004. CONVENOR 9 Dr. A.R. Veeramani Registrar
POWER AND FUNCTIONS OF GRIEVANCE REDRESSAL COMMITTEE: i. To entertain written and signed complaints and petitions of students in respect of matters directly affecting them individually or as agroup; ii. To enquire into the grievances, and make recommendations and report to the concerned authorities Academic Council and BoM for Redressal or suitable action;and iii. To recommend appropriate action against complainant, if allegations made in the documents are found to bebaseless. iv. An appeal may be made to Ombudsman if not satisfied with the decision of Grievance RedressalCommittee.
Conducting Enquiry by the Grievance Redressal Committee Any person aggrieved by any contravention of this code, shall prefer a complaint before the Grievance Redressal Committee at the earliest point of time in any case within 15 days from the occurrence of the alleged contravention. DEPT. OF COMPUTER VELS INSTITUTE OF SCIENCE, TECHNOLOGY 212 SCIENCE & ENGINEERING AND ADVANCED STUDIES (VISTAS)
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Complaint shall contain all the materials and relevant details concerning the alleged contravention including the names of the contravener and the complainant shall be addressed to the Chairperson of the GrievanceCommittee.
However, if the complaint does not reveal the identity, this may be addressed to the Head of the Institution for disposal on merit. After the receipt of such complaint, the Head of the Institution shall retain original complaint and forward the gist of the complaint with other details to the Grievance Committee.
The Grievance Redressal Committee upon receipt of any complain or gist of the complain cause an enquiry to be made directly. Where the Grievance Redressal Committee is satisfied that the complaint is justified (i) In the case of person complained against is member of the body of management, Grievance Redressal Committee shall report to the management. If the person is an employee of the university it shall be reported to the Vice-Chancellor. In case of the person complained against happens to be a student it shall submit the report to the Head of the Institution. Head of the Institution may suspend a person against whom complaint is made.
The Head of the Institution, upon receipt, of report from the Grievance Redressal Committee, shall give an opportunity (show cause notice) to the student / employee against whom the complaint is made for his reasonable defence. After, seeking the explanation, the Head of the Institution shall submit the report with his / her recommendation to the Management for punishment or otherwise.
Nothing in this code shall prevents the Head of the Institution from lodging a complaint straight away with the police in respect of any act amounting to any criminal or cognizable offense under the existinglaws.
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OMBUDSMAN Table 9.1(l) Details of Ombudsman Name of Profession Address, Associate Designation not Departmen the Mobile No. d with below the rank t Committee and E.mail. ID of District Member Retired judgeor a retd. Professor Dr.R.Sivakumar Professor No.62, Vels Professor(Retd) Dept. of \(Retd.) Ritherdan University English, Road, Vepery, Presidency Chennai-600 College, 007 Chennai
Any person aggrieved by the decision of the Grievance Redressal Committee may prefer an appeal to the Ombudsman within a period of 60 days.
Powers and Functions of Ombudsman: 1. The Ombudsman shall exercise his powers to hear anygrievance:- a) Of any student against the university or institution, as the case may be, after the student has availed of remedies available in such institution for redressal of grievancesand b) Any applicant for admission as student to suchinstitution.
2. No application for revaluation or remarking of answer sheets shall be entertained by the Ombudsman unless specific irregularity materially affecting the outcome or specific instance of discrimination is indicated.
3. The Ombudsman shall have powers to seek the assistance of any person belonging to the SC / ST, Socially and Economically Backward Classes, Minority or Differently-able category, as Amicus Curiae, for hearing complaints of allegeddiscrimination.
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VELS INSTITUTE OF SCIENCE , TECHOLOGY AND ADVANCED STUDIES (VISTAS) GRIEVANCE REDRESSAL COMMITTEE AY 2015-2016
S.NO NAME DESIGNATION
CHAIRMAN
1 Dr.R.Dinakaran Michael Dean, School of Life Sciences,
CO-CONVENOR
2 Dr.K.P.Kumar Dean, School of Management Studies
Members
3 Dr.M.Chandran HOD, Dept Of Commerce.
4 Ms.K.Kalaivani HOD, Dept Of CSE.
5 Dr.P..Mayilvahanan HOD, Dept Of M.C.A
6 Mr.S.Sivaganesan HOD, Dept of Mechanical Engg .
STUDENTS NOMINEE
7 D.Praveen Pharm.D-V th Year 30.Sriramam Salai Thanikachalam Nagar,Chennai-600110
8 R.Sai Prasanth MCA –III rd Year
CONVENOR
9 Dr.B.Krishnamurthy Registrar
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VELS INSTITUTE OF SCIENCE , TECHOLOGY AND ADVANCED STUDIES (VISTAS) GRIEVANCE REDRESSAL COMMITTEE AY 15-16
S.NO NAME DESIGNATION
CONVENOR
1 Dr.A.RVeeramani Registrar
CHAIRMAN
2 Dr.R.Dinakaran Michael Dean, School of Life Sciences,
CO-CONVENOR
3 Dr.Dilshad Shaik Professor & Director School of Law
Members
4 Dr.M.Chandran HOD, Dept Of Commerce.
5 Ms.K.Kalaivani HOD, Dept Of CSE.
6 Dr.P.Mayilvahanan HOD, Dept Of M.C.A
7 Dr. S. Sivaganesan Asso. Proffessor Dept of Mechanical Engg .
STUDENTSNOMINEE
8 D.Praveen Pharm.D-V th Year 30.Sriramam Salai Thanikachalam Nagar,Chennai-600110
9 A.A Rudhra Praveen Raj B.A LLB (Hons)-II year No 7,Periya Street,Kamara
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2017-2018
S.NO NAME DESIGNATION
CONVENOR
1 Dr.A.RVeeramani Registrar
CHAIRMAN
2 Dr. P.R.Ramakrishnan Dean, School of Management studies
CO-CONVENOR
3 Dr.Dilshad Shaik Professor & Director School of Law
Members
4 Dr.M.Chandran HOD, Dept Of Commerce.
5 Ms.K.Kalaivani HOD, Dept Of CSE.
6 Dr.P.Mayilvahanan HOD, Dept Of M.C.A
7 Dr. S. Sivaganesan Asso. Professor Dept Of mechanical Engg .
STUDENTS NOMINEE
8 Mr.Sudharsan MBA Ist Year(general)
9 Mr.AaditNarendar B.E III rd year CSE
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PREVENTION OF SEXUAL HARASSMENT COMMITTEE
S.No. Name Designation
CONVENOR
1 Dr.A.R. Veeramani Registrar [email protected]
CHAIRMAN
2 Ms.K.Kalaivani Asst.Professor& Head -CSE School of Engineering
CO-CONVENOR
3 Dr.M.Thiyalnayaki Associate Professor & Head BBA School of Management Studies & Commerce
NGO
4 MR.RANGARAJAN.AL Chief Functionary & National Coordinator PH : 044 - 22235133 REJUVENATE INDIA MOBILE: 9444971268 MOVEMENT(RIM) E.Mail : [email protected] NO.6,Nelson Mandela Street, rg Chittlapakkam, Website url: Chennai,Tamil Nadu www.rejuvenateindiamovement.org
MEMBERS
5 Dr. S.Preetha Asso. Prof. & Head School of Management Studies
6 Dr.S.Jeyakumari Professor & Head Department of Pharmacognosy School of Pharmaceutical Sciences
7 Mr.T.Kamalakannan Asst. Professor School of Computing Sciences DEPT. OF COMPUTER VELS INSTITUTE OF SCIENCE, TECHNOLOGY 235 SCIENCE & ENGINEERING AND ADVANCED STUDIES (VISTAS)
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8 Dr.K.Amutha Associate Professor & Head School of Life Sciences
9 Mr.S.Perumal Asst.Professor School of Computing Sciences
NON –TEACHNING STAFF
10 Mrs.M.S.Vijayalakshmi Assistant Registrar Administration
11 Mrs.Padmini.V Senior Section Officer Administration
STUDENTS
12 Mr.Arunkumar.K B.Com (CA) – III rd Year
13 Ms.Abiniya. P BBA – IIIrd Year
14 Ms.Shalini Kumari B.E. (ECE) – IInd Year
Duties & Responsibilities of Sexual Harassment Prevention Committee: Objectives The objectives of the Committee are:
Prevent discrimination and sexual harassment against women, by promoting gender respect and harmony among students and employees;
Make recommendations to the amendments or addition to the Rules for students in the Prospectus and the Bye-Laws, to make them gender just and to lay down procedures for the prohibition, resolution, settlement and prosecution of acts of discrimination and sexual harassment against women, by the students and the employees; Deal with cases of discrimination and sexual harassment against women, in a time bound manner, aiming at ensuring support services to the victims and cessation of the harassment;
Recommend appropriate punitive action against the delinquent to the Management.
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Procedure for Approaching the Committee The Committee deals with issues relating to sexual harassment at the University. It is applicable to all students, staff and faculty. A complaint of discrimination or sexual harassment may be lodged by the victim or a third party. A written complaint may be addressed to the Convener of the Committee. If the complaint is made to the Dean, Director or any of the Committee members, they same may forwarded it to the Convener of the Committee Against Sexual Harassment.
The Supreme Court has issued guidelines on prevention of sexual harassment and has defined it as "unwelcome" sexually determined behaviour (whether directly or by implication) as follows:
Physical contact and advances;
Demand or request for sexual favours;
Sexually coloured remarks; Showing pornography; and
Other unwelcome physical, verbal or non-verbal conduct of a sexual nature. (Vishaka judgment by Supreme Court)
The following is also sexual harassment and is covered by the committee:
Eve-teasing,
Unsavoury remarks, Jokes causing or likely to cause awkwardness or embarrassment,
Innuendos and taunts,
Gender based insults or sexist remarks,
Unwelcome sexual overtone in any manner such as over telephone (obnoxious telephone calls) and the like,
Touching or brushing against any part of the body and the like,
Displaying pornographic or other offensive or derogatory pictures, cartoons, pamphlets or sayings,
Forcible physical touch or molestation and
Physical confinement against one's will and any other act likely to violate one's privacy.
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ANTI-RAGGING COMMITTEE RAGGING IN ANY FORM IS A CRIME Ragging is totally banned and punishable as per the government order. If any student is found indulging in any sort of ragging or harassment to juniors or other fellow students, inside or outside the campus, bus, hostel, he/she will be dismissed immediately from the university and criminal action will be taken against them as per the rules. Excerpts of TAMILNADU PROHIBITION OF RAGGING ACT 1997 for general
Information This Act is called the Tamil Nadu Prohibition Of Ragging Act 1997.It extents to the whole of the State of Tamil Nadu
Definition In this Act, unless the context otherwise requires, “ragging” means display of noisy, disorderly conduct doing any act which cause or is likely to cause physical or psychological harm or raise apprehension or fear or shame or embarrassment to a student in any educational institution and includes a) Testing ,abusing of playing practical jokes ,on causing burt to such student Or b) Asking the students to do any act or perform something which such students will not in the ordinary course willingly do
Prohibition of ragging Ragging within or without any educational institutional is prohibited
Penalty for Ragging Whoever directly or indirectly commits, participates, in abets or propagates “ragging” within or without any educational institution, shall be punished with imprisonment for a term which may extend to two years any shall also be liable to a fine which may extend to ten thousand rupees.
Dismissal of student Any student convicted of an offence under section 4 shall be dismissed from the educational institution and such student shall not be admitted in any other educational institution. DEPT. OF COMPUTER VELS INSTITUTE OF SCIENCE, TECHNOLOGY 271 SCIENCE & ENGINEERING AND ADVANCED STUDIES (VISTAS)
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Suspension of student 1) Without prejudice to the foregoing provisions, whenever any student complains of ragging to the Hand of an Educational Institution, or to any other person responsible for the management of the educational institution he/she shall inquire in to the same immediately and if found true shall suspend the student who has committed the offence, from the educational institution. 2) The decision of the Head of the Educational institution or the person responsible for the management of the Educational Institution that any student has indulged in ragging under sub- section (1) shall be final
VELS INSTITUTE OF SCIENCE, TECHNOLOGY AND ADVANCED STUDIES (VISTAS) ANTI-RAGGING COMMITTEE
S.No. Name Designation CONVENOR 1 Dr.A.R.Veeramani Registrar Ph :9962506245 Email: [email protected] CHAIRMAN & NODAL OFFICER 2 Dr.C.Dhanasekaran HOD, Mechanical Ph: 9962506202 School of Engineering E.mail: [email protected], [email protected] CO-CONVENOR 3 Dr.S.N.Sugumar Associate Professor & Head Ph:988444 8037 Economics Email: [email protected] School of Management Studies & Commerce CIVIL & POLICE ADMINISTRATION 4 Mr.R.Divakaran Intelligent Section Pallavaram Police Station Pallavaram, Chennai – 600 043
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LOCAL MEDIA 5 Mr. Sheldon Mark Jarrett Media Artist Mobile : 9962236774 SterioScopic Division Email: [email protected] L.V.Prasad Studio Saligramam, Chennai – 600 093 NGO’S 6 Mr.Rangarajan.AL Chief Functionary & National Coordinator Ph : 044 - 22235133 Rejuvenate India Movement(RIM) Mobile: 9444971268 No.6,Nelson Mandela Street, E.Mail: Chittlapakkam, alrangarajan@rejuvenateindiamove Chennai, Tamil Nadu ment.org Website url: www.rejuvenateindiamovement.org 7 Mr.Panchaksharam.K Secretary & CEO Ph:044-2248 6791/92/93 Federation of South India Producer E.Mail: [email protected] Associations (SIPA) [email protected] No.21,Anna Street Sathya Nagar Extension Anakaputhur, Chennai- 600070 FACULTY MEMBERS 8 Dr.P.Mahalingam Director Ph : 9962506243 School of Languages(Tamil) E.Mail: Dean-Student Affairs(i/c) [email protected] 9 Dr.P.Shanmugasundaram Director Ph: 9840126575 School of Pharmaceutical Sciences Email : [email protected] 10 Dr.P.Mayilvahanan Professor Ph : 9962506229 School of Computing Sciences Email : [email protected] 11 Capt.N.Kumar Director Ph. : 9361852531 School of Maritime Studies [email protected]
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PARENTS 12 Mr.R.Shanmugam F/o. S. Ajithkumar Ph : 9566104821 (III Year –B.E.(Mechanical) No.3/77, SengeaiyamanKoil Street, Mylapore, Chennai – 600 004. 13 Mr.P. Saravanan F/o. S. Aishwarya Ph : 9841492964 (III Year B.sc Computer Science) 95, Kalaingar Street, North Sanjay Gandhi Nagar, Pallavaram, Chennai–600 043 14 Mr.R. Govindhan F/o . G. Vignesh Raj Ph : 8056139206 (IV Year B.E. (CSE) No.74, PatanoolkaranThotam, Mylapore, Chennai – 600 004. JUNIOR & SENIOR STUDENTS 15 Ms.J.Varsha Jayashree III Year - B.Com (CA) Ph: 8056264203 No.40, GST Road, Irumbuliyur, West Tambaram, Chennai - 600 045. 16 Mr.B.Thamodharan II Year – Bsc (Vis. Comm.) Ph : 86086 22506 52/24, Vada Iyankulam Street, Tiruvannamalai, Pin – 606 601. 17 Mr.S. Arun III Year – B.Sc (Bio Chemistry) Ph: 9941471966 2/24, Jothi Nagar, 1st Street, Ekattuthangal, Chennai - 600 032. 18 Ms. J. Subhalakshmi IV year – B.E.,(ECE) Ph: 9041492964 11/5, Varadappan Street, West Mambalam, Chennai - 600 033 19 Ms.M. Chandralekha III Year B.E., (Civil ) Ph : 9941222810 4/232, Kokilambal Nagar Thoraipakkam, Chennai – 600 097. NON –TEACHNING STAFF 20 Mr.B.Anbuchezian Administrative Manager Ph : 9962506207 Vels University 21 Mr.K.S.Paramasivam Administrative Officer Ph : 9962506220 Vels University
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ANTI-RAGGING SQUAD 22 Dr.R.A.Kalaivani Director Ph: 9962506223 School of Basic Sciences Email: [email protected] 23 Dr.P.Jagadeesan Assistant Professor & Head / Mobile No.9962506219 NSS Co-ordinator [email protected] School of Management Studies & Commerce 24 Mr.S.Perumal Asst. Professor Ph: 9941155023 School of Computing Sciences Email : [email protected] 25 Mr.M.Ashok Kumar Asst. Professor& Head Ph: 98946 06049 School of Pharmaceutical sciences, Email : [email protected] 26 Dr.Mohammed Faisal Asst. Professor, Ph: 99529 56833 School of Management Studies Email : [email protected]
27 Mr.A.Gnanasihamani Liaison Officer Ph:9962506242 Email: [email protected]
DUTIES OF ANTI-RAGGING COMMITTEE Committee shall be the duty of the anti-ragging committee to take all necessary steps require to enforce provision of UGC regulations 2009 in this regard as well as the provision of any law for the time being in force concerning ragging, and also to monitor and oversee the performance of the anti-ragging squad in the prevention of ragging in the institution.
DUTIES OF ANTI-RAGGING SQUAD 1. To carryout surprise raids in the hostels and any other places vulnerable to incidents of ragging. 2. To conduct an on the spot enquiry into any incident of ragging referred to it by Head of the Institution, members of faculty, members of staff, any student, any parent or guardian, any employee of service provider or any other person. The enquiry report along with DEPT. OF COMPUTER VELS INSTITUTE OF SCIENCE, TECHNOLOGY 275 SCIENCE & ENGINEERING AND ADVANCED STUDIES (VISTAS)
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recommendations shall be submitted to anti-ragging committee. The anti-ragging squad shall conduct such an enquiry observing a fair and transparent procedure based on the principles of natural justice and after giving adequate opportunity to the student or students accused of ragging and other witnesses to place before it the facts, documents and views concerning the incident of ragging, and considering such other relevant information as may be required.
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10.1.3. Delegation of financial powers(5)
The Board of Management is empowered to delegate any of its powers to the Vice- Chancellor, Registrars, and Finance Officer or any other Officer, employee or Authority of the University. The Finance Committee of the University had approved the delegation of financial powers and the same was ratified by the Board of Management. Accordingly, the following Financial Powers for the Authorities / Officials have been delegated.
Financial Power Sanctioning authority Upto Rs.2,00,000 Registrar Rs.2,00,001 – Rs.5,00,000/- Vice-Chancellor Above Rs.5,00,000/- Board of Management
10.1.4. Transparency and availability of correct/unambiguous information in public domain(5)
Our website displays the following rules and regulations. They are Eligibility and rules for admissions to degree course in CSE Criteria for admission on Merit basis Rules for reservation Tuition Fees structure Cancellation of admission and refund of fees General rules students inside the campus Rules for NRI students Rules for attendance Rules for examination Rules for detention Parents corner E-Contents and E-learning for students developed by faculty
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10.2. Budget Allocation, Utilization, and Public Accounting at Institute level (15) Summary of current financial year’s budget and actual expenditure incurred (for the institution exclusively) in the three previous financial years.
Total Income at Institute level: For CFY, CFYm1, CFYm2 & CFYm3 CFY: Current Financial Year – CFYm1 (Current Financial Year minus 1), CFYm2 (Current Financial Year minus 2), CFYm3 (Current Financial Year minus 3)
2018-2019 (CFY) Total No. Total Income: 2018-2019 Actual expenditure (till …): of students Rs. 122,89,35,912 Rs.78,86,10,869 2018-2019 : 11665 Fee Govt. Grant(s) Other Recurring Non- Special Expenditure Sources including recurring Projects/Any per student (specify) Salaries other, specify 1189476787 - - 39459125 731376083 57234786 - 67604
2017-2018 (CFYm1) Total No. Total Income: 2017-2018 Actual expenditure (till …): of students Rs.105,90,97,017 Rs.99,33,55,299 2017-2018: 10259 Fee Govt. Grant(s) Other Recurring Non- Special Expenditur Sources including recurring Projects/An e per (specify) Salaries y other, student specify 849318469 - - 209778548 758068728 235286571 - 96827
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2016-2017 (CFYm2) Total No. Total Income: 2016-2017 Actual expenditure (till …): of students Rs.88,83,15,456 Rs.68,82,28,028 2016-2017 : 9008 Fee Govt. Grant(s) Other Recurring Non- Special Expenditure Sources including recurring Projects/Any per student (specify) Salaries other, specify 719638747 - - 168676709 622411435 65816593 - 76401
2015-2016 (CFYm3) Total No. of Total Income: 2015-2016 Actual expenditure (till …): students Rs.70,60,84,413 Rs.67,59,76,610 2015-2016 : 7817 Fee Govt. Grant(s) Other Recurring Non- Special Expenditure Sources including recurring Projects/Any per student (specify) Salaries other, specify 644762499 - - 61321914 610029426 65947186 - 86475 Table B.10.2a
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2018-2019 2017-2018 2016-2017 2015-2016
Actual Actual Actual Actual Budgeted in Budgeted in Budgeted Budgeted in Items expenses in Expenses Expenses in Expenses CFY CFYm1 in CFYm2 CFYm3 CFY (till …) in CFYm1 CFYm2 in CFYm3
Infrastructure Built- Up 1000000 872070 180000000 156242781 75000000 73305000 40,000,000 42600849
Library 13,000,000 1257046 1,000,000 921203 1000000 1066685 3400000 3380348
Laboratory 25000000 24834569 35000000 32359069 4000000 3959729 1,500,000 1,769,245 equipment
Laboratory 3000000 2,875,926 2,500,000 2,392,601 1,250,000 1324440 1,000,000 1104525 consumables
Teaching and non- teaching staff 90000000 83597982 300000000 272269658 225000000 225017334 200000000 176395354 salary
Maintenance and 50000000 47,872,841 40,000,000 38,374,491 30000000 29527899 25000000 25988140 spares
R&D 3000000 2829630 5,200,000 5,218,394 400000 339627 100,000 100990
Training and Travel 9,000,000 8,698,224 10,000,000 9,893,677 9,500,000 9,738,562 7,000,000 7,149,129
Miscellaneous 5000000 5747257 4200000 4,137,743 2000000 1942007 1000000 871381 expenses *
Others, specify 580,000,000 579,754,223 430000000 425782165 350000000 354,521,566 400000000 396640662
Total 779000000 758339768 1007900000 947591782 701150000 700742849 679,000,000 656000623
DEPT. OF COMPUTER VELS INSTITUTE OF SCIENCE, TECHNOLOGY 301 SCIENCE & ENGINEERING AND ADVANCED STUDIES (VISTAS)
B.E., Computer Science & Engg. SELF ASSESSMENT REPORT 2018-2019
10.2.1. Adequacy of budget allocation (5) (The institution needs to justify that the budget allocated over the years was adequate)
Sl. Assessment Budget Actual Adequate/ No. Year Allocated in Expenditure In-Adequate (Rs.) in (Rs.) 1 CFY 77,90,00,000 75,83,39,768 ADEQUATE
2 CFYm1 100,79,00,000 94,75,91,782 ADEQUATE
3 CFYm2 70,11,50,000 70,07,42,849 ADEQUATE
4 CFYm2 67,90,00,000 65,60,00,623 ADEQUATE
10.2.2. Utilization of allocated funds (5) (The institution needs to state how the budget was utilized during the last three years)
Sl. No. Assessment Budget Actual Percentage Year Allocated in Expenditure of Utilization Lakhs (Rs.) in Lakhs (Rs.) 1 CFY 77,90,00,000 75,83,39,768 97.34%
2 CFYm1 100,79,00,000 94,75,91,782 94.01%
3 CFYm2 70,11,50,000 70,07,42,849 99.94%
4 CFYm2 67,90,00,000 65,60,00,623 96.61%
10.2.3. Availability of the audited statements on the institute’s website (5) (The institution needs to make audited statements available on its website)
The audited statements is available on the institution website www.velsuniv.ac.in
DEPT. OF COMPUTER VELS INSTITUTE OF SCIENCE, TECHNOLOGY 302 SCIENCE & ENGINEERING AND ADVANCED STUDIES (VISTAS)
B.E., Computer Science & Engg. SELF ASSESSMENT REPORT 2018-2019
10.3. Program Specific Budget Allocation, Utilization (30) Total Budget at program level: For CFY, CFYm1, CFYm2& CFYm3 CFY: Current Financial Year – CFYm1 (Current Financial Year minus 1) CFYm2 (Current Financial Year minus 2) CFYm3 (Current Financial Year minus 3) 2018-2019 (CFY) Total No. of Actual expenditure (till …): Total Budget in CFY : 2018-2019 students 2018-2019 Rs. : 2,51,00,000 2018-2019 Rs. :2,10,57,835 313 Non Recurring Recurring Non Recurring Recurring Expenditure per student 9,00,000 2,50,00,000 869685 2,01,88,150 67,277
2017-2018 (CFYm1) Total No. of Actual expenditure (till …): Total Budget in CFY : 2017-2018 students 2017-2018 Rs. : 1,73,00,000 2017-2018 Rs. :1,72,00,410 235 Non Recurring Recurring Non Recurring Recurring Expenditure per student 12,00,000 1,61,00,000 11,52,410 1,60,48,000 73193
2016-2017 (CFYm2) Total No. of Actual expenditure (till …): Total Budget in CFY : 2016-2017 students 2016-2017 Rs. : 1,48,00,000 2016-2017 Rs. :1,47,32,868 201 Non Recurring Recurring Non Recurring Recurring Expenditure per student 5,00,000 1,43,00,000 4,89,068 1,42,43,800 73298
2015-2016 (CFYm3) Total No. of Actual expenditure (till …): Total Budget in CFY : 2015-2016 students 2015-2016 Rs. : 1,43,00,000 2015-2016 Rs. :1,41,25,303 303 Non Recurring Recurring Non Recurring Recurring Expenditure per student 3,00,000 1,40,00,000 2,25,053 1,39,00,250 46618 Table B.10.3a
DEPT. OF COMPUTER VELS INSTITUTE OF SCIENCE, TECHNOLOGY 303 SCIENCE & ENGINEERING AND ADVANCED STUDIES (VISTAS)
B.E., Computer Science & Engg. SELF ASSESSMENT REPORT 2018-2019
2018-2019 2017-2018 2016-2017 2015-2016 Actual Actual Actual Actual Budgeted expenses Budgeted Budgeted Budgeted Expenses Items Expenses Expenses in CFY in CFY in CFYm1 in CFYm2 in CFYm3 in in CFYm1 in CFYm2 (till …) CFYm3
Laboratory 900000 869685 1200000 1152410 500000 489068 300000 2225053 equipment
Softwares ------Laboratory ------consumables Maintenance ------and spares R&D 1000000 999995 1500000 1448948 3500000 3489542 3500000 3049895 Training and 250000 194562 300000 299452 100000 98987 100000 91956 Travel Miscellaneous 22950000 18993593 14300000 14299600 10700000 10655271 10400000 8758399 expenses * Total 25100000 21057835 17300000 17200410 14800000 14732868 14300000 14125303 Table B.10.3b
10.3.1. Adequacy of budget allocation (10)
(Institution needs to justify that the budget allocated over the assessment years was adequate for the program) Sl. Assessment Budget Allocated in Actual Expenditure in Adequate/ No. Year Lakhs (Rs.) Lakhs (Rs.) in Adequate
1 CFY 2,51,00,000 2,10,57,835 ADEQUATE
2 CFYm1 1,73,00,000 1,72,00,410 ADEQUATE
3 CFYm2 1,48,00,000 1,47,32,868 ADEQUATE
4 CFYm2 1,43,00,000 1,41,25,303 ADEQUATE
DEPT. OF COMPUTER VELS INSTITUTE OF SCIENCE, TECHNOLOGY 304 SCIENCE & ENGINEERING AND ADVANCED STUDIES (VISTAS)
B.E., Computer Science & Engg. SELF ASSESSMENT REPORT 2018-2019
10.3.2. Utilization of allocated funds (20) (Institution needs to state how the budget was utilized during the last three assessment years)
Sl. No. Assessment Budget Actual Percentage Year Allocated in Expenditure in of Utilization Lakhs (Rs.) Lakhs (Rs.) 1 CFY 2,51,00,000 2,10,57,835 83.90%
2 CFYm1 1,73,00,000 1,72,00,410 99.42%
3 CFYm2 1,48,00,000 1,47,32,868 99.54%
4 CFYm2 1,43,00,000 1,41,25,303 98.78%
DEPT. OF COMPUTER VELS INSTITUTE OF SCIENCE, TECHNOLOGY 305 SCIENCE & ENGINEERING AND ADVANCED STUDIES (VISTAS)
B.E., Computer Science & Engg. SELF ASSESSMENT REPORT 2018-2019
10.4. Library and Internet (20) Vels University Library building spans over an area of 20,000 sq. ft. It has a seating capacity of 400 persons and follows Open Access System blended with State-of-the art facilities. The library houses a collection of 1,00,549 books and 8,645 back volumes. It subscribes to more than 328 Periodicals (National & International), 11,717+ E-journals, 1,08,438 E-Books, 3,590 Dissertations, 4,766 Audio – Visual resources. Our vision is to provide world-class knowledge resources that not only cater to the curricular requirements but also provide intellectual enquiry and research. We have a separate library for Maritime Studies at Thalambur having built up area of 3,000 sq. ft and more than 5,000 books.
The transactions of the library are fully automated and automation covers the entire gamut of library activities such as acquisition, circulation with provision for renewal, reservation, serial control, OPAC (Online Public Access Catalogue), and generating various types of reports and statistics.
10.4.1 Quality of learning resources (hard/soft) (10) Besides the Central Library, each School has its own Library with technical books and journals.
It contains more than 87,053 books on Arts, Science & Technology, Stack Area I Paramedical, Encyclopedias, Dictionaries, Directories, Thesaurus, Year Books, Glossaries, Maps andAtlases.
It contains more than 1,500 books for students to prepare for the Stack Area II various Competitive Examinations and Student Project Reports. Reference This section has over 11,659 books in various disciplines. Section
This section over 8,645 Back Volumes of Scientific and Technical Periodical periodicals. It also contains 328 Periodicals from various Professional Section Societies.
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It facilitates access to Electronic Information Services to ensure that the information needs of our Students, Faculty and Staff are met. Staff and Students can access E-journals from IEEE/IEL, ASME, ASCE, EBSCO (Academic Search complete & Business Digital Library Source Elite), ProQuest, BENTHAM Science Pharmacy, MICROMEDEX’S DRUGDEX SYSTEM, INVENTI Online, NATURE Online, Law finder, NPTEL Course Material and EbraryE-Books completecollection.
Audio - Video It houses LCD and Pentium Systems with Internet. It will be used Conference for the presentation of audio visuals available in the library or in Hall selective cases brought from the other libraries also.
Library – Online Resources EBSCO - Academic Search Complete Academic Search Complete is the worlds most valuable and most comprehensive scholarly, multi-disciplinary full-text database, with more than 8,500 full-text periodicals, including more than 7,300 peer-reviewed journals. In addition to full text, this database offers indexing and abstracts for more than 12,500 journals and a total of more than 13,200 publications including monographs, reports, conference proceedings, etc. The database features PDF content going back as far as 1887, with the majority of full text titles in native (searchable) PDF format. Searchable cited references are provided for more than 1,400 journals.
It covers all disciplines (Engineering, Management & Commerce, Computing Sciences, Life Sciences, Basic Sciences, Pharmaceutical Sciences, Physiotherapy, Marine, Visual Communication, Science & Humanities, Languages, etc.)”
URL www.search.ebscohost.com Login Direct Access within the campus (User Name & Password not required)
DEPT. OF COMPUTER VELS INSTITUTE OF SCIENCE, TECHNOLOGY 307 SCIENCE & ENGINEERING AND ADVANCED STUDIES (VISTAS)
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Business Source Elite This business database provides full text for over 1,000 business publications. The rich collection of titles in Business Source Elite provides information dating back to 1985. More than 10,100 substantial company profiles from Data monitor are also included. This database is updated on a daily basis viaEBSCOhost.
URL www.search.ebscohost.com
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ProQuest ABI/INFORM Global This database is one of the most comprehensive business databases on the market. It includes in-depth Coverage for thousands of publications, most of which are available in full text and the latest business and financial information for researchers at all levels. It includes in-depth coverage from thousands of publications, most of them in full-text. With ABI/INFORM Global, users can find out about business conditions, management techniques, business trends, management practice and theory, corporate strategy and tactics, and competitive landscape. ABI/INFORM Global includes ABI/INFORM Archive, which offers a deep back file of many of the most important business journals of the last century.
URL www.search.proquest.com
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IEEE The IEEE Xplore digital library is a powerful resource for discovery and access to scientific and technical content published by the IEEE (Institute of Electrical and Electronics Engineers) and its publishing partners. IEEE Xplore provides Web access to more than 3-million full-text documents from some of the world's most highly cited publications in electrical engineering, computer science and
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electronics. The content in IEEE Xplore comprises over 160 journals, over 1,200 conference proceedings, more than 3,800 technical standards, over 1,000 eBooks and over 300 educational courses. Approximately 25,000 new documents are added to IEEE Xplore eachmonth.
URL www.ieee.org
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ASME The American Society of Mechanical Engineers is a nonprofit educational and technical organization serving a worldwide community of mechanical engineers. The ASME conducts one of the world's largest technical publishing operations. The society holds more than 28 technical conferences and 200 professional development courses each year. The ASME promote and enhance the technical competency and professional well-being through quality programs and activities in mechanical engineering, better enable its practitioners to contribute to the well- being of humankind through its publicationsthatinclude19journals
Resource 21 Journals, Transactions, Magazines Back-Files 2000 onwards.
URL www.asmedigitalcollection.asme.org
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ASCE The American Society of Civil Engineers (ASCE) is recognized globally for their significant contribution and dedication to the advancement of science and education in the civil engineering profession. The ASCE publishes 35 journals, periodicals and transactions that cover a comprehensive range of the civil engineering profession. ASCE journals are highly cited and are most relevant to the civil engineers for exchanging technical and professional knowledge. Information published in the journals of ASCE forms archival records not only of the
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technical advances of the ASCE but of the civil engineering profession as awhole. Resource 30 Journals, Transactions, Magazines Back-Files 1995 onward
URL www.ascelibrary.org
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Nature Nature is the world's most highly cited interdisciplinary science journal, according to the 2013 Journal Citation Reports Science Edition (Thomson Reuters, 2014). Its Impact Factor is 42.351. The impact factor of a journal is calculated by dividing the number of citations in a calendar year to the source items published in that journal during the previous two years. It is an independent measure calculated by ThomsonReuters, Philadelphia, USA.
URL www.nature.com
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Micromedex’s This includes all the unbiased, referenced information about Drugs, Poison, Martindale, PDR, Toxicology, Diseases, Acute Care and Alternative Medicine you need to make informed clinical diagnosis and treatment decisions.
URL www.micromedexsolutions.com
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Bentham Science Pharmacy A major STM journal publisher of 23 online and print journals,and 4 print/online books (series), Bentham Science answers the informational needs of the pharmaceutical, biomedical and medical research community. Bentham Science Publishers is an international STM publisher answering the information
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needs of thepharmaceutical and biomedical research journal. We are publishers of many high impact factor journals and books; leading titles include Current Pharmaceutical Design (Impact Factor 4.774), Current Medicinal Chemistry (Impact Factor 4.63) and Current Molecular Medicine (Impact Factor 5.212).
URL www.ingentaconnect.com
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Inventi Journals Inventi is born out of a revolutionary 2-Stage Publishing Process (Patent Filed) involving Duo Journals: Inventi Rapid &Inventi Impact. This process surprisingly eliminates Time & Rejection, the two dreadful things authors always disliked; yet ensuring quality & impact. It covers 10 Pharmaceutical Journals, 25 Journals for Engineering Technology &Management.
For Pharmacy and For Engineering & Management
URL www.inventi.in
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Law Finder (Offline Database) Law Finder is based on full text retrieval system and has all the frills of a modern day search engine. The Law Finder search engine is tailor made for legal text with all features required for legal text search being preconfigured into it. Law Finder is the biggest law database in India with head notes and is also the most contemporary with majority of cases decided post year 2000. The Acts and rules section contains over 1700 Bare Acts and rules. These are updated almost every month. Note: Visit Digital Library to get the USB key to access the database E-Books
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E-Library: Over one lakh books accessible
URL www.site.ebrary.com
Knowledge Resource Centre @ VISTAS
URL http://192.168.10.10
List of Open Access E-Resources:
Doaj
Open Access Journal Search Engine (OAJSE)
OMICS International
Springer Open
Wiley Open Access
ICAST
Jurn Directory
Indian Academy of Sciences
Royal Society of Chemistry
Molecules
Nature Communications
Organic Syntheses
Chemistry Central
Chocrane Library
Check List
Genome Biology
International Journal of Biological Sciences
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Oncotarget
Open Biology
Peer J
Zookeys
International Journal of Molecular Sciences
Cell Reports
10.4.2. Internet (10) Name of the Internet provider ;BSNL ACT Fibrenet Available bandwidth; a) BSNL- 1000 Mbps connection with unlimited DataAccess. b) Backup Line- ACT Fiber net – 200 MBps speed with 5TB DataAccess Wi Fi availability; Enabled in all hostels andLibrary Internetaccessinlabs,classrooms,libraryandotherofficesand in all class rooms Securityarrangements; a) Whole Campus is Enabled with CCTVSurveillance b) Firewall (Cyberoam 1500ing) and Antivirus (K7 Antivirus Installed for Networkand DataSecurity c) All Desktops and Laptops maintained upto-Date.
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