SELF ASSESSMENT REPORT (S AR)Amrita Sai Institute of Science & Technology Amrita Sai Nagar,...

Amrita Sai Institute of Science & TechnologyAmrita Sai Nagar, Paritala, Krishna Dist, Andhra Pradesh – 521 180

SELF ASSESSMENT REPORT (SAR)UNDERGRADUATE ENGINEERING PROGRAM (TIER II)

FIRST TIME ACCREDITATION

Submitted to

National Board of Accreditation (NBA)

Submitted by

Department of Computer Science & EngineeringAmrita Sai Nagar, Paritala, Krishna District, Andhra Pradesh – 521 180

Email: [email protected],www.amritasai.edu.in, Phone: 0866-2428399

31 October 2017

TABLE OF CONTENTS

Criterion DetailsPageNo

PART – A INSTITUTIONAL INFORMATION 1

PART – BVISION, MISSION AND PROGRAM EDUCATIONALOBJECTIVES 6

1.1 State the Vision and Mission of the Department and Institute 71.2 State the Program Educational Objectives (PEOs) 7

1.3Indicate where the Vision, Mission and PEOs are published anddisseminated among stakeholders

7

1.4State the process for defining the Vision and Mission of the Department,and PEOs of the program

8

1.5 Establish consistency of PEOs with Mission of the Department 111.5.1 Justify the academic factors involved in achievement of the PEOs 11

2 PROGRAM CURRICULUM AND TEACHING– LEARNINGPROCESSES 14

2.1 Program Curriculum 14

2.1.1

State the process used to identify extent of compliance of the Universitycurriculum for attaining the Program Outcomes and Program SpecificOutcomes as mentioned in Annexure-I. Also mention the identifiedcurricular gaps, if any

14

2.1.2State the delivery details of the content beyond the syllabus for theattainment of POs and PSOs

18

2.2 Teaching -Learning Processes 202.2.1 Describe Processes followed to improve quality of Teaching &Learning 20

2.2.2Quality of internal semester Question papers, Assignments andEvaluation

27

2.2.3 Quality of student projects 312.2.4 Initiatives Related to Industry Interaction 402.2.5 Initiatives Related to Industry Internship/Summer Training 41

3 COURSE OUTCOMES AND PROGRAM OUTCOMES 43

3.1Establish the correlation between the courses and the Program Outcomes(POs) and Program Specific Outcomes (PSOs)

43

3.1.1 Course Outcomes(COs) 453.1.2 CO-PO matrices of courses selected in 3.1.1 46

3.1.3Program level Course-PO matrix of all courses INCLUDING first yearcourses

48

3.2 Attainment of Course Outcomes 52

3.2.1Describe the assessment processes used to gather the data upon which theevaluation of Course Outcome is based

52

3.2.2Record the attainment of Course Outcomes of all courses with respect toset attainment levels

55

3.3 Attainment of Program Outcomes and Program Specific Outcomes 59

3.3.1Describe assessment tools and processes used for measuring theattainment of each of the Program Outcomes and Program SpecificOutcomes

59

3.3.2 Provide results of evaluation of each PO & PSO 644 STUDENTS’ PERFORMANCE 66

4.1 Enrolment Ratio 67


4.2 Success Rate in the stipulated period of the program 674.2.1 Success rate without backlogs in any semester/year of study 674.2.2 Success rate with backlog in stipulated period of study 674.3 Academic Performance in Third Year 684.4 Academic Performance in Second Year 684.5 Placement, Higher Studies and Entrepreneurship 694.6 Professional Activities 69

4.6.1 Professional societies/chapters and organizing engineering events 694.6.2 Publication of technical magazines, newsletters, etc. 704.6.3 Participation in inter-institute events by students of the program of study 71

5 FACULTY INFORMATION AND CONTRIBUTIONS 725.1 Student-Faculty Ratio (SFR) 795.2 Faculty Cadre Proportion 805.3 Faculty Qualification 815.4 Faculty Retention 815.5 Innovations by the Faculty in Teaching and Learning 815.6 Faculty as participants in Faculty development/ training activities/STTPs 825.7 Research and Development 83

5.7.1 Academic Research 835.7.2 Sponsored Research 855.7.3 Development activities 855.7.4 Consultancy (from Industry) 865.8 Faculty Performance Appraisal and Development System (FPADS) 875.9 Visiting/Adjunct/Emeritus Faculty etc. 906 FACILITIES AND TECHNICAL SUPPORT 91

6.1 Adequate and well equipped laboratories, and technical manpower 91

6.2Additional facilities created for improving the quality of learningexperience in laboratories

91

6.3 Laboratories: Maintenance and overall ambiance 916.4 Project laboratory 946.5 Safety measures in laboratories 947 CONTINUOUS IMPROVEMENT 96

7.1Actions taken based on the results of evaluation of each of the POs&PSOs

96

7.2Academic Audit and actions taken thereof during the period ofAssessment

102

7.3 Improvement in Placement, Higher Studies and Entrepreneurship 1057.4 Improvement in the quality of students admitted to the program 1068 FIRST YEAR ACADEMICS 107

8.1 First Year Student-Faculty Ratio (FYSFR) 1078.2 Qualification of Faculty Teaching First Year Common Courses 1078.3 First Year Academic Performance 1078.4 Attainment of Course Outcomes of first year courses 108

8.4.1Describe the assessment processes used to gather the data upon which theevaluation of Course Outcomes of first year is done

108

8.4.2 Record the attainment of Course Outcomes of all first year courses 1098.5 Attainment of Program Outcomes from first year courses 109


8.5.1Indicate results of evaluation of each relevant PO and/or PSO, ifapplicable

109

8.5.2 Actions taken based on the results of evaluation of relevant POs 1109 STUDENT SUPPORT SYSTEMS 119

9.1 Mentoring system to help at individual level 1199.2 Feedback analysis and reward/corrective measures taken, if any 1209.3 Feedback on facilities 1219.4 Self-Learning 1229.5 Career Guidance, Training, Placement 1249.6 Entrepreneurship Cell 1289.7 Co-curricular and Extra-curricular Activities 131

10 GOVERNANCE, INSTITUTIONAL SUPPORT AND FINANCIALRESOURCES

133

10.1 Organization, Governance and Transparency 13310.1.1 State the Vision and Mission of the Institute 133

10.1.2Governing body, administrative setup, functions of various bodies,service rules, procedures, recruitment and promotional policies

133

10.1.3 Decentralization in working and grievance redressal mechanism 13710.1.4 Delegation of financial powers 139

10.1.5Transparency and availability of correct/unambiguous in formation inpublic domain

140

10.2 Budget Allocation, Utilization, and Public Accounting at Institute level 14010.2.1 Adequacy of budget allocation 14210.2.2 Utilization of allocated funds 14210.2.3 Availability of the audited statements on the institute’s website 14210.3 Program Specific Budget Allocation, Utilization 142

10.3.1 Adequacy of budget allocation 14410.3.2 Utilization of allocated funds 14410.4 Library and Internet 145

10.4.1 Quality of learning resources (hard/soft) 14510.4.2 Internet 146

SELF ASSESSMENT REPORT, Part – A

AMRITA SAI INSTITUTE OF SCIENCE AND TECHNOLOGY, Paritala Page 1

AMRITA SAI INSTITUTE OF SCIENCE AND TECHNOLOGY

Computer Science & Engineering

PARTA: Institutional Information

1. Name and Address of the Institution:

Amrita Sai Institute of Science & Technology

Amrita Sai Nagar, Paritala, Kanchikacherla Mandal, Krishna Dist, Andhra Pradesh – 521180

2. Name and Address of the Affiliating University:

Jawaharlal Nehru Technological University, Kakinada Andhra Pradesh - 533001

3. Year of establishment of the Institution:

2007

4. Type of the Institution:

University

Deemed University

Government Aided

Autonomous

Affiliated

5. Ownership Status:

Central Government

State Government

Government Aided

Self-financing

Trust

Society

Section25 Company

Any Other (Please specify)



6. Other Academic Institutions of the Trust/Society/Company etc., if any:

Name of the Institution(s) Year ofEstablishment Programs of Study Location

N/A N/A N/A N/A

7. Details of all the programs being offered by the institution under consideration:

S No Program NameYear

of startIntake

Increasein Intake

Year ofIncrease

AICTEApproval

AccreditationStatus

1Electrical and ElectronicsEngineering

2007 120 60 2009,2010Yes -2007

Eligible but notapplied

2Computer Science andEngineering

2007 60 60 2010Yes -2007

Applying firsttime

3Electronics andCommunication Engineering

2007 120 60 2010, 2012Yes -2007

Applying firsttime

4 Mechanical Engineering 2011 60 60 2014Yes -2011


5 Civil Engineering 2012 60 60 2014Yes -2012

Not eligible foraccreditation

6Master in ComputerApplications

2008 60 0 -- Yes -2008


7Master in BusinessAdministration

2009 60 60 2014Yes -2009


8 M Tech(Power Electronics) 2012 18 0 -- Yes -2012


9M Tech(Computer Scienceand Engineering)

2012 18 0 -- Yes -2012


10M Tech(StructuralEngineering)

2014 24 0 -- Yes -2014


11M Tech (Digital Electronics& Communication Systems)

2014 24 0 -- Yes -2014


12M Tech(VLSI & EmbeddedSystems)

2011 18 0 -- Yes -2011


13Diploma (Electrical andElectronics Engineering)

2014 60 0 -- Yes -2014


14Diploma(MechanicalEngineering)

2014 60 0 -- Yes -2014




8. Programs to be considered for Accreditation vide this application:

S No Level Discipline Program

1 Under Graduate Engineering &Technology B. Tech - Computer Science & Engg.

2 Under Graduate Engineering &Technology B. Tech - Electronics & Communication Engg.

9. Total number of employees in the institution:

A. Regular Employees (Faculty and Staff):

Items2017-2018 2016 – 2017 2015 -2016

Min Max Min Max Min Max

Faculty in EngineeringM 109 123 95 105 95 119

F 37 40 36 39 36 36

Faculty in Maths, Science &Humanities

M 25 32 52 54 49 53

F 11 14 14 12 6 9

Non-teaching staffM 68 69 68 69 60 69

F 28 27 28 27 23 27

Note: 75% should be Regular/Full Time faculty and the remaining shall be ContractualFaculty/Adjunct Faculty/Resource Source from industry as per AICTE norms andstandards.

The contractual Faculty will be considered for assessment only if a faculty is drawing asalary as prescribed by the concerned State Government for the contractual faculty in therespective cadre and who have taught over consecutive 4 semesters..

B. Contractual Staff Employees (Faculty and Staff) : (Not covered in Table A):

Items2017-2018 2016 – 2017 2015 -2016

Min Max Min Max Min Max

Faculty in EngineeringM Nil Nil Nil Nil Nil Nil

F Nil Nil Nil Nil Nil Nil

Faculty in Maths, Science &Humanities

M Nil Nil Nil Nil Nil Nil


Non-teaching staffM Nil Nil Nil Nil Nil Nil


10. Total number of Engineering Students:

Engineering and Technology- UG Shift1 Shift2Engineering and Technology- PG Shift1 Shift2Engineering and Technology-Polytechnic

Shift1 Shift2

MBA Shift1 Shift2MCA Shift1 Shift2



Engineering and Technology- UG Shift -1

Item 2017-2018 2016 – 2017 2015 -2016

Total no. of boys 804 792 870

Total no. of girls 759 672 600

Total no. of students 1563 1464 1470

Engineering and Technology- PG Shift-1

Item 2017-2018 2016 – 2017 2015 -2016




Engineering and Technology- Polytechnic Shift-2

Item 2017-2018 2016 – 2017 2015 -2016




Engineering and Technology- MBA Shift-1

Item 2017-2018 2016 – 2017 2015 -2016




Engineering and Technology- MCA Shift-1

Item 2017-2018 2016 – 2017 2015 -2016




(Instruction: The data may be categorized in tabular form separately for under graduate,

postgraduate engineering, other program, if applicable)

Note: Incase the Institution is running AICTE approved additional courses such as MBA, MCA in

the first shift, engineering courses in the second shift, Polytechnic in Second shift etc.,

separate tables with the relevant heading shall be prepared.



11. Vision of the Institution:

"Striving for a symbiosis of Technological excellence and human values."

12. Mission of the Institution:

"To arm young brains with competitive technology and nurture holistic development of theindividuals for a better tomorrow"

13. Contact Information of the Head of the Institution and NBA coordinator, if designated:

i. Name : Dr. M Sasidhar

Designation : Principal

Mobile No : 9490797536

Email id : [email protected]

ii. NBA coordinator, if designated:

Name : Dr. P Chiranjeevi

Designation : HOD CSE

Mobile No : 9490794017

Email id : [email protected]

SELF ASSESSMENT REPORT, Part – B


PART B: Criteria Summary

Name of the program: Computer Science & Engineering

CriteriaNo.

CriteriaMark/

Weightage

Program Level Criteria

1. Vision, Mission and Program Educational Objectives 60

2. Program Curriculum and Teaching– Learning Processes 120

3. Course Outcomes and Program Outcomes 120

4. Students’ Performance 150

5. Faculty Information and Contributions 200

6. Facilities and Technical Support 80

7. Continuous Improvement 50

Institute Level Criteria

8. First Year Academics 50

9. Student Support Systems 50

10. Governance, Institutional Support and Financial Resources 120

Total 1000



CRITERION-1: Vision, Mission and Program Educational Objectives

1. VISION, MISSION AND PROGRAM EDUCATIONAL OBJECTIVES (60)

1.1. State the Vision and Mission of the Department and Institute (5)

Vision of the institute "Striving for a symbiosis of Technological excellence and human values."

Mission of the institute"To arm young brains with competitive technology and nurture holistic

development of the individuals for a better tomorrow"

Vision of the DepartmentNurturing globally competent computer science & engineering graduates

by inculcating values of leadership and research qualities.

Mission of the

Department

To impart high quality professional training with an emphasis on

basic principles of computer science and engineering

To strengthen links with industry through partnerships and

collaborative development works.

To attain self-sustainability and overall development through

research, consultancy and development activities

To make the students as for as possible industry ready to enhance

their employability in the industries

To improve department industry collaboration through internship

program and interaction with professional society through

seminar/workshops.

Imbibe social awareness and responsibility in students to serve the

society and protect environment

1.2. State the Program Educational Objectives (PEOs) (5)

PEO1: Prepare graduates to have knowledge and competency for careers in and related to Computer

science

PEO2: Prepare graduates to become leader in fields related to Computer Science.

PEO3: Prepare graduates to pursue higher education in Engineering or other Professional fields

1.3. Indicate where the Vision, Mission and PEOs are published and disseminated amongstakeholders (10)

Institutes Website: www.amritasai.edu.in

HOD Chambers

Course files of each course

Departmental Notice Board

Laboratories



Hostel notice board

Lab Manuals

College information Brochure (For this program)

Posters

TPO Office Notice board and information brochure

Apart from this, Vision and Mission is disseminated to all the stake holders of the programs through

faculty Meetings, student awareness workshops, student induction programs, and parent teacher

meetings etc.

List of stake holder

Internal:

1. Students

2. Faculty

3. Staff

4. Management

External:

1. Alumni

2. Parents

3. Industry/employer –Colors Software PVT LTD, Oreng Group, Fluidlogix.

4. Affiliating University

5. Commissioner of Technical Education, Govt. Of A.P.

6. AICTE/NBA

7. Academia

Apart from the published mission vision POs of institute/departmental recourses mentioned above

following activities are organized to ensure awareness and understanding: counseling sessions.

Orientations and course descriptions are shared with students.

1.4. State the process for defining the Vision and Mission of the Department, and PEOs of the

program (25)

Vision and Mission of the Department is derived from the Vision and Mission of the Institute.

Vision and Mission of the Department and PEOs of the Programme is defined by performing analysis

of Strengths Weaknesses, Opportunities and threats faced in educational spheres by strengthening

feedback process of stakeholders and having discussions and interactions with students, faculty

members, administrators and alumni.



In establishing the Vision and Mission of the department, the following steps were followed:

Step1: Vision and Mission of the Institute are taken as basis.

Step2: Views are taken from stakeholders of the department such as industry, students, parents and

alumni.

Step3: The accepted views are analyzed and reviewed to check the consistency with the Vision and

Mission of the Institute.

Figure-1.4.1: Process of establishing Vision & Mission of Department

The Programme Educational Objectives are established through a consultation process involving the

core constituents such as Students, Alumni, Industry, Faculty and Parents with a procedure shown in

the following figure

Figure-1.4.2: Process of establishing PEOs of Department

The Programme Educational Objectives (PEO) is actually the broad statements of the objectives for

which the programme is run. In the first place, these objectives should help in fulfilling the mission of

the department. Secondly, the students graduating from the programme are expected to lead a fruitful

and meaningful life in the society by being useful in its progressive development. Thus it is necessary

that these objectives should be in consonance, to the extent possible, with the current research scenario

in the relevant field of engineering and with the needs of the relevant industry. The research scenario

is best judged by the faculty members through research publications. The industry needs are gauged

through the feedback, mostly verbal, received in the Training and Placement Office (TPO) when

companies come for campus placement. In addition, the industry scenario has a specific relationship

with research and hence faculty is fairly competent to assess the needs of industry. Moreover, the



alumni who have gone to industry or to institutes of high reputation are able to reflect whether the

objectives are adequate.

STEP 1: The needs of the Nation & society are identified through scientific publications, industry

interaction and media.

STEP 2: Taking the above into consideration, the PEOs are established by the Academic Advisory

Committee of the Department.

STEP 3: The PEOs are communicated to the alumni and their suggestions are obtained.

STEP 4: The PEOs are communicated to all the faculty members of the department and their feedback

is obtained.

STEP 5: The PEOs are then put to the final approval.

Figure-1.4.3: Process of finalizing PEOs of Department

List the Stakeholders of the Programme

Alumni – This group is interested as the rating of the department is affected by PEOs as these prepare

better graduates.

Students – The students are interested in whether the program adequately prepares them for future

employment.

Parents – They are interested to get their wards better education and employability.

Faculty – The faculty members are involved on regular basis in the assessment process



Employer (Government, Industry and Universities) – Employers satisfaction with our students’

education provides measure of the program success. Their satisfaction translates to employment

opportunities for our students

1.5. Establish consistency of PEOs with Mission of the Department (15)

(Generate a “Mission of the Department–PEOs matrix” with justification and rationale of the

mapping)

PEO Statements

M1: To impart highquality professionaltraining with anemphasis on basicprinciples of ComputerScience andEngineering

M2:Tostrengthen linkswith industrythroughpartnerships andcollaborative

M3: To attain self-sustainability overalldevelopment throughresearch, consultancy anddevelopment activities

PEO1: Preparegraduates to haveknowledge andcompetency for careersin and related toComputer science.

3 2 1

PEO2: Preparegraduates to becomeleader in fields relatedto Computer Science.

1 3 2

PEO3: Preparegraduates to pursuehigher education inEngineering or otherProfessional fields.

1 2 3

Correlation levels 1,2 or 3 as defined :

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High).

1.5.1. Justify the academic factors involved in achievement of the PEOs

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 for each program were selected in accordance with the PSOs of the program. The

courses both regular and elective were mapped along with the achievement 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 the faculty 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, discussed in the first class committee meeting and then circulated amongst the concerned

students also.

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 action. The

performance analysis sheet and remedial actions taken sheet provides a way for the course teacher to

keep track of the students who have not performed well and also monitor their progress in the next

test. The course file also includes the internal assessment, end semester marks and statement of grades.

This course file is duly monitored by the Head of the Department and maintained in the Department

Library thus serving as a reference for the teachers who handle the courses.

Assessments: The students are evaluated on the basis their performance. This evaluation is done by

way of the continuous assessment tests and end semester examinations. For under graduate students

three continuous assessments and end semester examination is conducted for every course. The

assessment marks are displayed to the students after every test and also properly recorded. An entry of

the internal marks is made in the attendance log books of every course teacher.

Department Assessment Committee (DAC)

Department Assessment Committee for the Program consists of Program Coordinator, Module

Coordinator and faculty representatives. Chaired by Program Coordinator, the committee monitors the

attainment of PO and PEO’s. Evaluates program effectiveness and proposes necessary changes.

Prepares periodic reports, records on program activities, progress, status or other special reports for

management key stake holders. Motivates the faculty and students towards attending workshops,

developing projects, working models, paper publications and research. Interact with students, faculty,

Program Coordinators, Module Coordinator and outside/community agencies (through their

representation) in facilitating program educational objectives. DAC meets at least once in 6 months to

review the program and submits reports.



Department Assessment Committee

S.no Name Position held Responsibilities

1 Dr. P Chiranjeevi Program CoordinatorCoordinating all faculty for smooth

running

2 Sri. M Sivanjaneyulu Module CoordinatorDistributing module to all faculty and

monitoring

3Sri. M Vijay Kumar

Sri. V Vinay Kumar

Course outcome, Program

Outcome, Program Specific

Outcome

Formulation of attainment

4 Sri. Ch Srinivas Rao Continuous improvement Attainment of PO and PSO



CRITERION 2 Program Curriculum and Teaching– Learning Processes 120

2. PROGRAM CURRICULUM AND TEACHING-LEARNINGPROCESSES (120)

2.1. Program Curriculum (20)

2.1.1.State the process used to identify extent of compliance of the University curriculum for

attaining the Program Outcomes and Program Specific Outcomes as mentioned in

Annexure-I. Also mention the identified curricular gaps, if any (10)

A. Process used to identify extent of compliance of the University Curriculum for attaining

the Program Outcomes and Program Specific Outcomes.

AMRITA SAI Institute of science of technology is affiliated under JNTUK Kakinada. So our

programme curriculum is as per the scheme and syllabus of affiliated university. Generally

Curriculum maintains the balance in the composition of basic science, humanities, professional

courses and their distribution in core and elective and breadth offerings. If some components, to

attain CO’s/ PO’s, are not included in the curriculum provided by the affiliated university then the

Institution makes additional efforts to impart such knowledge by covering aspects through

“CONTENT BEYOND SYLLABUS”. We add content beyond syllabus by proper “GAP analysis”

process. The figure 2.1.1 gives the Curriculum Gap analysis and the figure 2.1.2 shows the process

of assessment of gap analysis.

Programme Outcomes (Pos)

PO Description

PO1

Engineering Knowledge: Apply knowledge of mathematics and science, with

fundamentals of Computer Science & Engineering to be able to solve complex

engineering problems related to CSE.

PO2

Problem Analysis: Identify, Formulate, review research literature and analyze

complex engineering problems related to CSE and reaching substantiated conclusions

using first principles of mathematics, natural sciences and engineering sciences

PO3

Design/Development of solutions: Design solutions for complex engineering

problems related to CSE 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

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.

PO5

Modern Tool Usage: Create, Select and apply appropriate techniques, resources and

modern engineering and IT tools including prediction and modeling to computer

science related complex engineering activities with an understanding of the

limitations



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 CSE professional engineering practice

PO7

Environment and Sustainability: Understand the impact of the CSE professional

engineering solutions in societal and environmental contexts and demonstrate the

knowledge of, and need for sustainable development

PO8Ethics: Apply Ethical Principles and commit to professional ethics and

responsibilities and norms of the engineering practice

PO9Individual and Team Work: Function effectively as an individual and as a member or

leader in diverse teams and in multidisciplinary Settings

PO10

Communication: Communicate effectively on complex engineering activities with the

engineering community and with society at large such as able to comprehend and

with write effective reports and design documentation, make effective presentations

and give and receive clear instructions.

PO11

Project Management and Finance: Demonstrate knowledge and understanding of the

engineering management principles and apply these to one’s own work, as a memberand leader in a team, to manage projects and in multi-disciplinary environments

PO12

Life-Long Learning: Recognize the need for and have the preparation and ability to

engage in independent and life-long learning the broadest context of technological

change

List of PSO’s

PS01: Foundation of mathematical concepts: To use mathematical methodologies to crack problem

using suitable mathematical analysis, data structure and suitable algorithm.

PSO2: Foundation of Computer System: the ability to interpret the fundamental concepts and

methodology of computer systems. Students can understand the functionality of hardware and

software aspects of computer systems.

PSO3: Foundations of Software development: the ability to grasp the software development lifecycle

and methodologies of software systems. Possess competent skills and knowledge of software design

process. Familiarity and practical proficiency with a broad area of programming concepts and provide

new ideas and innovations towards research.



`

Figure-2.1.1: Processes used to identify the curricular gaps to the attainment of theCOs/POs Process for “Curriculum GAP ANALYSIS”

Gap Identification Process:

DAC (Department Advisory Committee) had conducted number of meetings to align the

POs/PSOs with university curricula. Each faculty also developed the major elements of POs

and PSOs to determine the level their courses will be addressing. The department decided to

adopt Bloom’s level of Cognitive domain to decide the level of expected attainment. The

introductory level courses were termed as 1 covering level 1 & 2 of Bloom where students

were exposed to the a topic, 2 was given to courses that provided competence to the topic to the

students covering Blooms level 3& 4 and the courses where students gained mastery were

donated level 3 covering Bloom’s level 5 & 6 of cogitative domain.

The table thus prepared was reviewed by faculty during departmental meetings to determine

which component of PO/PSOs were either not met or met to level 1 only. Discussions focused

on whether level 1 of introductory nature was adequate or does the department need to develop

more beyond syllabus topics, introduce additional electives, laboratory experiments etc. to

improve the level. For example it was found that PO on Management and Finance and

communication were not adequately addressed in the university syllabus, hence, additional

activities were planned.

Meeting with Syllabus review committee, subject experts and HOD have been arranged to

review the syllabus provided by the university and to detect Gaps if any.

Feedback From alumni and industry are analyzed.

Analyzing the COs and POs mapping, weak areas are pointed out and gaps are identified.

Corrective actions to be taken to bridge the gap are discussed and finalized the content beyond

syllabus to be taught.



Figure-2.1.2: Methodology of Gap analysis

B. List the curricular gaps for the attainment of defined POs and PSOs. Recommended subjects

to bridge academic and industry Gap Identification

1. As per the University Curriculum, basics of Object Oriented Programming are introduced in III

semester. The Course Object Oriented Programming with C++ does not introduce the real time

applications using C++. Therefore a course on Programming skills for real time applications using

C++ was identified and an adjunct faculty from industry was appointed.

2. As per the University curriculum, basics of Database Management System are introduced in V

semester. In today’s world, Big Data Analytics is considered very relevant.

3. And therefore a course on Big Data Analytics is identified for students of Vth semester students

and an adjunct faculty to handle Big Data Analytics is applied.

4. As per the University Curriculum, Networks and Web Programming courses are introduced in 6th

Semester and 7th Semester. To bridge the gap between academics and Industry, a course on

Internet of Things (IoT) with awareness for hardware sensors is introduced with an adjunct faculty

from industry is appointed.

The other Topics added beyond the syllabus are:

Programming skills for Real Time Applications using C++

Neural Network

Fuzzy logic

Big Data Analytics

IOT with awareness for hardware Sensors.



Implementation process:

Identified content beyond syllabus (Theory/Lab) is included in lesson plan and conducted in

classroom or laboratory by the subject teacher itself or internal/external subject experts.

Effectiveness:

Effectiveness of this process is analyzed through feedback from the students, through their

performance in examinations, from the Alumni, from Industries feedback etc. It is a continuous

improvement process which requires more and more fine tuning through regular feedbacks from

students and other stakeholders.

2.1.2. State the delivery details of the content beyond the syllabus for the attainment of POs and

PSOs(10)

Delivery details of content beyond syllabus

Library/internet assignments on contemporary issues.

Additional laboratory experiments

Pre-placement Training

Training on Soft skills and value add programs

Creative /Projects

Guest lectures

Workshops/conference

Industrial Visits and internships

Events conducted to overcome Curriculum Gap identified in the academic year 2017-2018

S.No

GAP ActionTaken

Date-Month-

Year

Resource Person withDesignation

% ofstudents

Relevanceto PSs,PSOs

1

AwarenessProgrammeon ComputerSecurity

Seminar30-11-2017

Sri K Gopala ReddyAssoc Prof, CSESri K Phani SrinivasHead, R&D Cell, ASISTSri Ch Srinivasa RaoAsst Prof, CSE

100PO 8,9,10PSO 1,3

2

MasterTheorem inDivide &Conquer

NPTELVideo

7-12-2017

Prof. SunderVishwanathan,Department of ComputerScience Engineering,IIT Bombay.

100PO 8,9,10PSO 1,3

3 GrammarsNPTELVideo

12-12-2017

Prof.KamalaKrithivasan,Department ofComputer Science andEngineering,IIT Madras

90PO 8,9,10PSO 1,3

4Ethical

HackingHands on

22-12-2017

Dr. Sai Manoj Kudaravalli,ASIST

92PO 8,9,10PSO 1,3



Events conducted to overcome Curriculum Gap identified in the academic year 2016-2017

S.No

GAP ActionTaken

Date-Month-

Year


% ofstudents

Relevanceto PSs,PSOs

1 AJP Seminar29-07-2017

Mr. P Raja Gopala Reddy,Team Manager, AkurInformatics, Hyderabad

90PO 8,9,10PSO 1,3

2NP hardProblems

MOOCsProgram

03-01-2017

Prof. C.Pratap, Universityof California BerkeleyExtension Centre.Organized by JNTUK

90PO 8,9,10PSO 1,3

3 Ruby on RailsMOOCsProgram

04-01-2017

TCS Consultants,Hyderabad

90PO 8,9,10PSO 1,3

4 NormalizationMOOCsProgram

02-02-2017

Prof. D Janaki Ram,Professor, Department ofCSE, IITM, Madras

90PO 8,9,10PSO 1,3

5B Trees, B+

TreesNPTELVideos

08-02-2017

NPTEL videos providedby the Institution

90PO 8,9,10PSO 1,3

6

Set theory inDesign andanalysis ofAlgorithms

NPTELVideos

06-07-2017


90PO 8,9,10PSO 1,3

7LALR ParserTechniques

NPTELVideos

17-08-2017


90PO 8,9,10PSO 1,3

Events conducted to overcome Curriculum Gap Identified in the academic year 2015-2016

S.No Gap ActionTaken

Date-Month-

Year


% ofstudents

Relevance toPOs, PSOs

1.NetTechnologies

Seminar 27/08/2015

Mr. Md Ismail, Sr.Developer, AkurTechnologies,Hyderabad

90PO8,9,10

PSO 1, 3

2NetworkSimulator 2

Workshop 9/01/2016

Dr. E. SURESH BABU,Professor, AcharyaNagarjuna University,Guntur

90PO8,9,10

PSO 1, 3

3Cloudcomputing

Seminar 16/02/2016Dr Mohan, Professor inCSE,

K L University,Vijayawada

90PO8,9,10

PSO 1, 3

4 HACKINGTechnicalSeminar

18/03/2016

Shivprakash B Chalgeri

Software Developer,

HP, Chennai

90PO8,9,10

PSO 1, 2



Mapping of content beyond Syllabus with the PO's & PSO'sPO’s

Topics PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12

Pre-placementTraining

Training onSoft skills

Creative / HobbyProjects

Guest lectures

workshops

Industrial Visits

PSO’sTopics

PSO1 PSO2 PSO3

Pre-placement Training

Training on Soft skills

Creative / Hobby Projects

Guest lectures

Workshops

Industrial Visits

2.2. Teaching -Learning Processes (100)2.2.1. Describe Processes followed to improve quality of Teaching &Learning (25)

Institutional calendar has been prepared and aligned with University academic calendar. In addition to

events proposed by the university in academic calendar, Institute has introduced many other events

which are useful in overall development of the students. For example training and placement skill

development program is a part of our academic calendar. During this event in addition to soft skill

development, emphasis also given on personality development of the students so that they become

employable. We are following the Institutional academic calendar in total. Our management and

higher officials are keen about follow up of the academic calendar.

Calendar of events – which include all other co-circular and extra-curricular activities

S.No Month Date Event

1.

No v

05-06-2017Subject Allotment for II/I & III/IStaff meeting and instructions to preparation of lesson plan for II/I& III/I

2. 10-06-2017Staff meeting and submission of lesson plan by II/I & III/I todepartment

3. 12-06-2016Commencement of class work for II/I & III/I; Subject Allotmentfor IV/I by HOD:CSE; Orientation program me for II/I & III/I



students; Instructions to preparation of lesson plan for IV/I faculty4. 13-06-2017 Commencement of unit-1 instruction for II/I & III/I

5. 17-06-2017Staff meeting and submission of lesson plan by IV/I todepartment;Checking compliance of lesson plan

6. 19-06-2017Commencement of Class work for IV/I and Orientation programfor IV/I

7. 20-06-2017Meeting with CRs of various classes in CSECommencement of unit-1 instruction for IV/I

8. 27-06-2017 Completion of unit-1 instruction for II/I & III/I9. 28-06-2017 Commencement of unit-2 instruction for II/I & III/I10.

July

01-07-2017 Checking compliance of lesson plan

11. 04-07-2017Completion of unit-1 instruction for IV/IMeeting with CRs of various classes in CSE

12. 05-07-2017 Commencement of unit-2 instruction for IV/I; Staff meeting13. 13-07-2017 Completion of unit-2 instruction for II/I & III/I14. 14-07-2017 Commencement of unit-2 instruction for IV/I15. 18-07-2017 Meeting with CRs of various classes in CSE16. 19-07-2017 Completion of unit-2 instruction for IV/I; Staff meeting17. 21-07-2017 Commencement of unit-3 instruction for IV/I18. 29-07-2017 Completion of unit-3 instruction for II/I & III/I19. 30-07-2017 Workshop for faculty members20. 31-07-2017 Commencement of Revision Schedule for II/I & II/I21.

Aug

01-08-2017 Meeting with CRs of various classes in CSE22. 02-08-2017 Staff Meeting

23. 05-08-2017Completion of unit-3 instruction for IV/ICompletion of revision schedule for II/I & III/I

24. 07-08-2017Commencement of Revision Schedule for II/I & II/ICommencement of MID exams for II/I & III/I

25. 08-08-2017 Department Level NBA File verification26. 12-08-2017 Completion of MID exams for II/I & III/I27. 15-10-2017 Celebration of Independence Day28. 16-08-2017 Commencement of unit-4 for II/I & III/I29. 22-08-2017 Guest Lecture for III CSE

30. 23-08-2017Commencement of unit-4 for IV/IMeeting with CRs of various classes in CSE

31. 29-08-2017 Department Level NBA File verification32. 30-08-2017 Completion of unit-4 instruction for II/I & III/I33. 31-08-2017 Commencement of unit-5 for II/I & III/I34.

Sept

05-09-2017 Teachers day celebration by the department of CSE35. 06-09-2017 Staff meeting36. 07-09-2017 Completion of unit-4 for IV/I37. 08-09-2017 Commencement of unit-5 for IV/I38. 09-09-2017 Guest Lecture for II CSE39. 12-09-2017 Meeting with CRs of various classes in CSE40. 13-09-2017 Completion of unit-5 for II/I & III/I41. 14-09-2017 Commencement of unit-5 for II/I & III/I42. 19-09-2017 Staff Meeting43. 20-09-2017 NSS Activity – Awareness on Anti ragging44. 21-09-2017 Completion of unit-5 for IV/I45. 22-09-2017 Commencement of unit-6 for IV/I



46. 26-09-2017 Meeting with CRs of various classes in CSE47. 27-09-2017 Completion of unit-6 for II/I & III/I48. 28-09-2017 Commencement of Revision Schedule for II/I & III/I

49.

Oct

07-10-2017Completion of Revision Schedule for II/I & III/ICompletion of unit-6 for IV/I

50. 09-10-2017Commencement of II Mid examination for II/I & III/ICommencement of Revision Schedule for IV/I

51. 14-10-2017Completion of II Mid examination for II/I & III/ICompletion of Revision Schedule for IV/I

52. 16-10-2017Commencement of II Mid examination for IV/IPreparation and Practicals for II/I & III/I

53. 21-10-2017 Completion of II Mid examination for IV/I

54. 23-10-2017Commencement of University examinations for II/I & III/IPreparation and Practicals for IV/I

55. 30-10-2017 Commencement of University examinations for IV/I56.

Nov

04-11-2017 Completion of University Examination to II/I & III/I57. 11-112017 Completion of University Examination to IV/I

58. 06-11-2017Subject Allotment for II/II & III/II by HOD:CSEStaff meeting and instructions to preparation of lesson plan forII/II & III/II

59. 11-11-2017

Subject Allotment for IV/II by HOD:CSE;Staff meeting and instructions to preparation of lesson plan forIV/IISubmission of lesson plans by II/II & III/II faculty

60.13-11-2017

to18-11-2017

Submission of lesson plans by IV/II facultyOrientation programme for Staff on II semester subjects

61. 06-11-2017Subject Allotment for II/II & III/II by HOD:CSEStaff meeting and instructions to preparation of lesson plan forII/II & III/II

62. 11-11-2017

Subject Allotment for IV/II by HOD:CSE;Staff meeting and instructions to preparation of lesson plan forIV/IISubmission of lesson plans by II/II & III/II faculty

63.13-11-2017

to18-11-2017

Submission of lesson plans by IV/II facultyOrientation programme for Staff on II semester subjects

64. 20-11-2017 Commencement of class work for II/II & III/II65. 21-11-2017 Commencement of unit-1 instruction for II/II & III/II

66. 24-11-2017Meeting with CRs of III/II; HODs meet with CEO, DOA, andPrincipal

67. 25-11-2017 Meeting with CRs of II/II; Staff Meeting68. 27-11-2017 Commencement of class work for IV/II69. 28-11-2017 Commencement of unit-1 instruction for IV/II70. 30-11-2017 Guest Lecture on “Computer Security” for II/II & III/II

71.

DEC

01-12-2017Meeting with CRs of IV/II; HODs meet with CEO, DOA, andPrincipal

72. 02-12-2017 Staff Meeting73. 05-12-2017 Completion of Unit-I for II/II & III/II; Meeting with CRs of IV/II74. DEC 1st Week Students Council By Principal For Ii,Iii & Iv Years75. DEC 2nd Week Workshop For Ii Year



76. 15-12-2017 Display Of Attendance For Ii,Iii & Iv Years77. 30-12-2017 Display Of Attendance For Ii,Iii & Iv Years78.

JAN

JAN 1st week Workshop For Iv Year

79.15-01-2018 to20-01-2018

I Mid Examinations For Ii & Iii Years

80. 15-01-2018 Display Of Attendance For Ii,Iii & Iv Years

81.22-01-2018 to27-01-2018

I Mid Examinations For Iv Year

82. 23-01-2018 Display Of Mid Marks & Letter To Parents For Ii & Iii Years83. 30-01-2018 Display Of Mid Marks & Letter To Parents For Iv Year84. 31-01-2018 Display Of Attendance For Ii,Iii & Iv Years85.

FEB

12-02-2018 Commencement Of Class Work For I M.Tech86. 15-02-2018 Display Of Attendance For Ii,Iii & Iv Years87. FEB 1st week Seminar On Embedded Systems For B.Tech/ M.Tech88. FEB 2nd week Certification Program For Iii & Iv Years89. 28-02-2018 Display Of Attendance For Ii,Iii & Iv Years

90.

MAR

05-03-2018 to17-03-2018

Remedial Classes For Ii & Iii Years

91. 08-03-2018 Display Of Provisional Detention List For Ii & Iii Years

92.12-03-2018 to24-03-2018

Remedial Classes For Iv Year

93. 15-03-2018 Display Of Provisional Detention List For Iv Year

94.19-03-2018 to24-03-2018

Ii Mid Examinations For Ii & Iii Years

95.26-03-2018 to31-03-2018

Ii Mid Examinations For Iv Year

96.26-03-2018 to31-03-2018

Preparation & Practicals For Ii & Iii Years

97. 28-03-2018 Display Of Mid Marks & Letter To Parents For Ii & Iii Years

98.

APR

02-04-2018 to14-04-2018

End Examinations For Ii & Iii Years

99.02-04-2018 to07-04-2018

Preparation & Practicals For Iv Year

100. 04-04-2018 Display Of Mid Marks & Letter To Parents Iv Year

101.09-04-2018 to21-04-2018

End Examinations For Iv Year

A. Maintenance of Course files:

For each course, a course file is prepared by the concerned faculty. The course file consists of

following items:

There are many other items that we proposed to be included in the course file yesterday for

justifying the POs, COs and their attainment, including weak student support. Please mention them

as per the Index of contents in a course file.

Teaching plan:

Teaching plans for each and every course are prepared by the faculty. Whole syllabus is divided

into 6 units and 66 lectures as per the teaching scheme prescribed by the university. The course

objectives and course outcomes are defined for each course in line with the POs.



Lesson plan

Lesson plans are prepared for each lecture in the teaching plan by the faculty before the

commencement of the semester and it is duly approved after careful examination by the Head of

the Department and made available to the students. The lesson plan encompasses the learning

outcomes and the assessment of outcomes.

Question Bank:

Question banks are prepared for each topic in the course based on the course objectives and course

outcomes and considering the nature of the university question papers. The previous question

papers of University are also maintained in the course files. Assignment questions list and test

question papers along with key solutions are included in the course files.

B. Use of Various instructional methods and pedagogical initiatives:

Lecture method and Interactive learning:

The faculty use chalk and board and audio visual aids in teaching. Students are also encouraged to

actually interact during the lecture hour by getting the doubts clarified on the spot. faculty using

models , charts for interactive teaching

Project-based learning:

During the period of study in the 6th to 8th semester, many real time projects are given to the

students and they are guided by both faculty and Industry/Research personnel.

Computer-assisted learning:

The College has required number of computers, printers, LCD projectors, application software’s

and system software’s. These are effectively used for teaching. The students are also encouraged

to develop software’s for the solution of the assignments and tutorials. Many final year projects

are completed through the use of software.

SMART class Room

Faculty are using SMART class room to provide interactive session. Projector is used for

demonstration, video (NPTEL), audio of classes. Following are some additional pedagogical

initiatives taken by the department in addition to Chalk &Talk, Lectures, assignments, power

point presentation, tutorials;

Role Play

Working model/Visual charts/ videos

Analogy with live examples from industries and surroundings

Lecture interspersed with discussions among students

E-tutorial

Group assignments and projects



Lab experiments beyond syllabus

Quizzes(conventional/ Technical)

Seminars/ presentations

Group Discussions

Designing and Problem solving through simulation, etc

Apart from the methods listed above, while developing and delivering the Course/Lectures Objectives,

the faculty considered cognitive aspects of Bloom’s Taxonomy i.e. the faculty listed what they wanted

the students to know- knowledge and development of intellectual skills.

C. Methodologies to support academically weak students and encourage bright students:

Guidelines to identify weak studentsThe Counsellors regularly conduct meetings regarding progress of their mentees and are

responsible to identify students who scored less than 50% marks in their internals. Under the HOD

direction, the students Counsellors evaluates the progress card of those students who score below

50% marks in three or more subject and below 75% attendance are considered as academically

weak students and same is also intimated to their parents.

Identification Criteria Actions taken

Students scoring less than 50% of

marks in Internal Assessment.

1. Based on the evaluation we were come to know that

students are weak in problem solving. Identified and

provided required inputs to uplift the students up to mark.

2. Intimating parents to counsel their wards.

3. Conduction of remedial classes

Diploma students-who joined

insufficient knowledge in

mathematics

Initiated and conducted Bridge course for identified students

Students who fail in semester exams Conducted extra classes for failure students.

Weak student support strategy:

Mentors are appointed to enhance the performance of weak student as follows;

Regular counseling and providing moral support to them.

Encouraging them towards study through peer tutoring.

Encouraging them for regular attendance.

Proper guidance given to weak students through remedial support to clear their backlogs.

Constant monitoring their performance in internal tests.

Extra classes arranged for backlog subjects if needed.



Guidelines to identify Bright students

Identification Criteria Actions taken

Students awarded with First Class with

Distinction (FCD) in their Semester exams.

Merit students are awarded with mementos

along with cash prizes.

Top three students of each class. Awarded with mementos

Students securing ranks at University level. Distribution of Gold medals

Bright student support strategy: DAC (Department Advisory committee) has conducted a special

meeting to review on Bright students’ performance and provide a necessary inputs to improve their

skill set to meet the industry requirements and score more.

Encouraging them to score good percentile in their final examination.

Encouraging them to participate in seminars/conferences in different institutes.

Effectiveness: As per the Guide Lines from Alumni, Industry Experts, Feedback from students, we

took a necessary steps to improve the effectiveness in the curriculum etc.

D. Quality of classroom teaching:

The following innovative teaching methods are adopted by the faculty:

Smart Board, LCDs etc. are used for teaching purposes.

E. Conduct of Experiments:

Institution is affiliated to JNTUK, Kakinada. We follow the syllabi prescribed by JNTUK along

with our Department DAC (Department Advisory Committee) has decided to teach Add on

experiments to meet the requirements of the industry.

F. Continuous Assessment in laboratory:

DAC (Department Advisory committee) has decided to evaluate the practical work on regular

basis both record work and experimental work.

G. Student feedback of teaching learning process and actions taken:

At the end of the semester, all the students are required to fill a feedback-form apprising the faculty

using a scale of 1 (high) through 10 (low). (Format available)

Lecture classes are monitored by senior Professors and the HoD of the Department. They

give constructive comments to improve the quality of teaching and the teaching- learning

process.

Counseling by the respective HoD for those faculty members who have secured less scores

and negative comments, if any, in the feedback. This motivates them to improve their skills

and abilities.



If required training / orientation programmes are conducted by professional experts to

master the skills of the faculty members in the nuances of teaching, thus improving the

efficiency of teaching-learning process.

2.2.2. Quality of internal semester Question papers, Assignments and Evaluation (20)

A .Process for Internal Semester Question Paper setting and evaluation and effective process

implementation:

In a semester, there are three tests. Each of the tests consists of descriptive questions as well as

quizzes. The average of the best two tests is considered for final internal assessment.

Defining Course Outcomes for every course

Setting of questions of internal question papers based on reference to prescribed texts, model

question papers, Mapping of questions to PO’S, CO&, BT

Defining of scheme of evaluation for the question paper

Evaluation of answer sheets based on scheme

Marks scored by the student in every test are sent to their parents Process from step 2 to step 5 is

repeated for the two tests.

Best of two internal marks is calculated as final internal mark.

Blooms Taxonomy is followed while setting the internal exam question papers where the following

strategy is applied. The internal test consists of 15 Marks of subjective questions.

B. Process to ensure questions from outcomes/learning level perspectives

Each question is mapped with COs POs & Blooms taxonomy (BT) levels .Student who answered to

particular question is taken into consideration and average of all students’ marks is taken for CO-PO

attainment

C. Evidence of COs Coverage in class test/Mid-term test

Individual student’s blue book is evaluated and question answered by student is mapped with COs and

POs Sample is shown in annexure -1 CO-PO attainment

D. Quality of assignment and its relevance to COs

As part of continues improvement in terms of improving teaching performance and better out come

from students Assignment questions will be given to students, and evaluate the same and mapping

with CO’s.



Sample of Question Paper of Mid Semester Examination - I

Amrita Sai Institute of Science and Technology, KanchikacherlaMid Sem -I Examination, August-2017

Course-B.Tech Branch-CSE, Sem-VSubject: Operating Systems

Duration: 1:30 Hrs Max Marks: 15 Min Passing Marks:08

Levels ofBloom's

taxonomyCO

Note: All Questions are compulsory. Question 1 through 3 carry 5marks each.Q.1 Classify different types of System Calls used in

Operating Systems?(05) Understanding

CO1Q.2 Define PCB? Draw and elaborate different types of

process running status?(05)

Remembering,Understanding

Q.3 Analyze Critical section problem? Given two solutions toexecute two processes in critical sections?

(05) Analyze CO2

Sample of Question Paper of Mid Semester Examination - II

Amrita Sai Institute of Science and Technology, KanchikacherlaMid Sem -II Examination, October-2017

Course-B.Tech Branch-CSE, Sem-VSubject: Operating Systems

Duration: 1:30 Hrs Max Marks: 15 Min Passing Marks:08

Levels ofBloom's

taxonomyCO

Note: All Questions are compulsory. Question 1 through 3 carry 5 markseach.Q.1 Analyze reasons why paging was introduced? Explain

paging technique with neat diagram?(05) Understanding CO3

Q.2 Analyze reasons why demand paging was introduced? ApplyFIFO, LRU and Optimal algorithms on the followingreference string: 1,2,3,4,5,3,4,1,6,7,8,7,8,9,7,8,9,5,4,5,4,2

(05) Apply CO4

Q.3 Define deadlock? Explain necessary characteristics of adeadlock? Construct resource allocation graph for thefollowing scenario:Processes : P1, P2, P3Resources : R1 has two instances, R2 has one

instance and R3 has two instances.Rules:

1. R1 has 2 instances and one is allocated to P1 andanother allocated to P2

2. R2 has one instance and which is allocated to P33. R3 has 2 instances and one is allocated to P3 and

another to P14. P2 is requesting for one instance of R35. P1 is requesting for one instance of R26. P3 is claiming for one instance of R1

(05) Applying CO5



Sample of Question Paper of Assignment

Assignment-5 (Sample):

Q.No. Note: Attempt all questions. Total marks: 5.

Levels ofBloom's

taxonomyCO

1. Identify which algorithm is suffering with Beladys anomalywith an example?

Analyzing

CO42. Demonstrate Demand Paging in Virtual Memory ofOperating Systems?

Analyzing

3. Distinguish between Paging and TLB paging? Analyzing

Mid Semester Examination – I

S.No

MID-I

Questions Aligned to Course Outcomes andMarks Obtained

Course OutcomeAttainment with target

in %Course Outcomes CO1 CO2

CO1 CO2AVG

COQ.1 Q.2 Total Q.3 Total

Roll No.

Distribution ofMarks-->

5 5 10 5 5 80% 80% 80%

Set TargetLevel---->

80% 80%

1 15AJ1A0501A LakshmiPrasanna

4 4 8 4 4 1 1 2

2 15AJ1A0502 A Mahesh babu 4 5 9 4 4 1 1 2

3 15AJ1A0503A PuneethChowdary

3 4 7 4 4 0 1 1

4 15AJ1A0504 A Kavitha 4 4 8 4 4 1 1 25 15AJ1A0505 A Susmitha 3 4 7 4 4 0 1 26 15AJ1A0506 A Harika 4 4 8 4 4 1 1 27 15AJ1A0507 E N V Vpriya 4 4 8 4 4 1 1 28 15AJ1A0508 E Swapna 4 4 8 4 4 1 1 29 15AJ1A0509 E Siri Varshni 4 4 8 4 4 1 1 2

10 15AJ1A0510E MChakravarthy

3 5 8 4 4 1 1 2

11 15AJ1A0511 E Nagadivya 3 5 8 4 4 1 1 212 15AJ1A0512 E Tejasri 4 4 8 4 4 1 1 2

13 15AJ1A0513Ch VenkateswaraRao

3 4 7 4 4 0 1 1

14 15AJ1A0514 Ch Geetha Vani 3 5 8 4 4 1 1 215 15AJ1A0515 Ch Ravi Kishore 4 4 8 4 4 1 1 216 15AJ1A0516 Ch Abhigna 3 5 8 3 3 1 0 117 15AJ1A0517 D S Sai 4 4 8 3 3 1 0 118 15AJ1A0518 K Anjitha 3 4 7 4 4 0 1 1



Mid Semester Examination – II

S.No

MID-I

Questions Aligned to Course Outcomes and MarksObtained


in %Course Outcomes CO3 CO4 CO5

CO3CO4

CO5AVGCOQ.

1Total Q.2

Total

Q.3Total

Roll No.

Distribution of Marks-->

5 5 5 5 5 5 80%80%

80% 80%

Set TargetLevel---->

80% 80%

1 15AJ1A0501 A Lakshmi Prasanna 4 4 4 4 4 4 1 1 1 32 15AJ1A0502 A Mahesh Babu 4 4 4 4 3 3 1 1 0 23 15AJ1A0503 A Puneeth Chowdary 4 4 4 4 4 4 1 1 1 34 15AJ1A0504 A Kavitha 5 5 4 4 4 4 1 1 1 35 15AJ1A0505 A Susmitha 5 5 5 5 4 4 1 1 1 36 15AJ1A0506 A Harika 5 5 5 5 3 3 1 1 0 27 15AJ1A0507 E N V Vpriya 4 4 5 5 4 4 1 1 1 38 15AJ1A0508 E Swapna 4 4 5 5 4 4 1 1 1 39 15AJ1A0509 E Siri Varshni 4 4 5 5 4 4 1 1 1 310 15AJ1A0510 E M Chakravarthy 4 4 4 4 4 4 1 1 1 311 15AJ1A0511 E Nagadivya 4 4 4 4 4 4 1 1 1 312 15AJ1A0512 E Tejasri 4 4 4 4 4 4 1 1 1 313 15AJ1A0513 Ch Venkateswara Rao 4 4 4 4 4 4 1 1 1 314 15AJ1A0514 Ch Geetha Vani 4 4 4 4 3 3 1 1 0 215 15AJ1A0515 Ch Ravi Kishore 5 5 5 5 3 3 1 1 0 216 15AJ1A0516 Ch Abhigna 4 4 5 5 4 4 1 1 1 317 15AJ1A0517 D S Sai 4 4 5 5 4 4 1 1 1 318 15AJ1A0518 K Anjitha 4 4 5 5 4 4 1 1 1 3

Evaluation Process for Assignment

CO1 & CO2(Assignment-I)

CO3, CO4 & CO5(Assignment-II)

Course outcomeattainment with target in

%Q.1

Q.2

Q.3 Total

Q.1

Q.2

Q.3

Total

CO1&CO2

CO3,CO4 &CO5

AVGCO

Distribution of Marks 5 5 5 15 5 5 5 15 70% 70% 70%Set Target Level 70% 70%

1 A Lakshmi Prasanna 4 3 4 11 3 4 3 10 1 0 12 A Mahesh Babu 4 3 4 11 3 4 4 11 1 1 23 A Puneeth Chowdary 4 3 4 11 3 4 4 11 1 1 24 A Kavitha 4 4 4 12 4 4 4 12 1 1 25 A Susmitha 4 4 3 11 4 3 4 11 1 1 26 A Harika 3 2 4 9 3 5 3 11 1 0 07 E N V Vpriya 3 4 4 11 4 4 3 11 1 1 28 E Swapna 3 3 4 10 3 4 3 10 0 0 09 E Siri Varshni 4 3 4 10 3 4 4 10 0 0 010 E M Chakravarthy 4 3 4 11 3 4 4 11 1 1 211 E Nagadivya 4 3 4 11 3 4 4 11 1 1 2



2.2.3. Quality of student projects (25)Initiatives:

The student’s projects are selected in line with department Vision, Mission and Programoutcomes.

Students are provided with brief idea of various fields for selecting the project ideas.

The list of previous year projects is displayed at notice board which ensures no repetition of

project work and also encourages students to enhance the previous works.

The faculties are encouraging the students to carry out in house projects. and support will be

provided with all necessary software and hardware.

Encouraged students to participate in project exhibitions/Expo. conducted national level and

International Level. The project exhibition was aimed to provide common platform to

exhibit their innovations and their work towards excellence in latest technology.

Implementation:

A project coordinator is appointed by the Head of the department who is responsible for planning,

scheduling and execution of all the activities related to the student project work.

Impact Analysis:

New innovative ideas are born for project work

Skills or abilities of students improved.

Knowledge on various aspects of project management were developed

Confidence level of the students was boosted

Improved team spirit

Implementation and deployment of the project for social benefits.

Document preparation and presentation.Guidelines for evaluation of project work may include the following:

Nature of project

Quality of work report and final outcome

Presentation/ Viva-Voce

For each component/ element to be evaluated and weightages to be assigned to each component

are given in Table below for awarding sessional marks

12 E Tejasri 4 3 4 11 3 4 4 11 1 1 213 Ch Venkateswara Rao 4 2 3 9 2 3 4 9 0 0 014 Ch Geetha Vani 4 2 3 9 2 3 4 9 0 0 015 Ch Ravi Kishore 3 3 3 9 3 3 3 9 0 0 016 Ch Abhigna 4 3 4 11 3 4 4 11 1 1 217 D S Sai 4 3 4 11 3 4 4 11 1 1 218 K Anjitha 4 3 4 11 3 4 4 11 1 1 2



S.No. ItemsMaximumWeightage

1.

Nature of ProjectRelevance (5%)Novelty/ Originality (5%)Degree of Challenges Involved (5%)

15%

2.

Quality of work Report and Final Outcome

I. Quality of work (20%):

General appearance, binding and neatness; Utility/ feasibility for

practical applications; Organization and presentation of text; language

and style; quality of diagrams/ graphs etc,; accuracy in drawing

conclusions; cross references; bibliography; suggestions for further

work.

II. Quality of Final Outcome (30%)

Aesthetics; functionality; user friendliness; cost effectiveness.

50%

3.

Presentation/ Viva-voce

Understanding Concepts, Principles, Practices, Design Considerations,

Results, Implementation, etc,. (15%) Communication Skills (10%)

Viva Voce Skills (10%)

35%

Project presentation is taken thrice per semester in the presence of a project panel as

well as weekly/bi-weekly meetings and discussion with the concerned project

supervisor.

Projects given to the students are related to state of art, industry relevant, hardware,

and latest software.

Projects offered are with latest and new technological development in the area of power

system.

Projects are based on mathematical modeling through simulation to analyze the

operation and performance under various operating condition.

The hardware prototyping through various building blocks are carried out in the

respective laboratories for these projects.

MINOR PROJECT:

As per the university curriculum, the student has to complete minor project in seventh semester. The

project work is inside the campus. The project work is executed under the guidance of a faculty

member. Finally, the project work is assessed by external and internal examiners through

presentation and viva- voce.

CO1: Able to acquire system integration skills, documentation skills, project management skills and



problem solving skills.

CO2: Able to identify problems and solutions and also solve real-life problems.

CO3: Able to develop professionalism.

CO4: Able to develop oral as well as written presentation skills.

MAJOR PROJECT:

Every final year student undertakes project which is spread over a period of one semester. The student

selects a topic of his/her interest and then performs literature survey, formulates the problem formally

and then Implements it.

The project is carried-out under guidance of faculty member. The project work is assessed by external

and internal examiners through presentation and viva- voce. Our students have exhibited a high degree

of innovation, commitment and team work in executing the project work. Assessment of final year

students‟ projects must be done considering criteria such as – (i) Their quality, (ii) The state-of the-art

technology used in execution, (iii) Their relevance to industry and academics, (iv) The use and

development of theoretical and experimental methods, and (v) The coverage of boarder areas of the

program me. At the end of both semesters a report is submitted by the students. Progress is

continuously monitored by supervisor and an advisory committee. Midterm evaluation is done based

on presentation and midterm report submission. Final evolution is based on presentation, report

submitted, examination and demonstration. The ethical values are imbibed through proper referencing.

The project is evaluated by Project Coordination committee which consists of subject expert within the

department, supervisor and an expert from outside the college apart from B. E project coordinator. All

the POs are thus satisfied. A list of good and average projects is given below:

1. Projects are taken in groups of 4 students.

2. Students are guided by faculty members.

3. Projects are taken on a large variety of problems and many a times of a multidisciplinary

nature.

4. Projects are both theoretical and experimental.

CO1: Able to make comprehensive use of the technical knowledge gained from previous courses.

CO2: Able to understand technologies viz., platform, database, etc. concerned with the project.

CO3: Able to apply project management skills (scheduling work, procuring parts and documenting

expenditures and working within the confines of a deadline).

CO4: Able to analyze, develop and demonstrate Computer Science & Engineering and Information

Technology.

CO5: Able to communicate technical information by means of written and oral reports.



Summary Report of Best Projects Mapped with POs for the year 2016-17.Project Mapping with POs

S.No Name of theProject

ProjectGuide

Outcomesa b c d e f g h i j k L

1Automatic testpacket generation

Dr. BVeeramallu

1 3 2 3 2 3 2 2 2 2 3 3

2Money transfer toanonymous

M VijayKumar

1 3 2 3 1 3 2 2 2 2 2 3

3

A System to filterunwanted messagesfrom OSN userwalls

MSivanjaneyulu

1 3 3 3 2 3 2 2 2 2 3 3

4Annotating searchresults from webdatabases

Ch SrinivasaRao

1 3 2 2 1 2 3 3 1 2 2 2

5Student PerformanceManagement System

P Anil Kumar 2 1 3 2 2 2 2 3 3 2 2 2

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Summary Report of Average Projects Mapped with POs for the year 2016-17.Project Mapping with POs

S.NoName of the

ProjectProjectGuide


1Best Keyword coversearch

A DurgaBhavani

1 3 2 3 2 3 2 2 2 2 3 3

2Crawling HiddenObjects with KNNQueries

M VijayKumar

1 3 2 3 1 3 2 2 2 2 2 3

3Online consumerbehavior searchingand buying products

V P S VinayKumar

1 3 3 3 2 3 2 2 2 2 3 3

4A triggered approachfor generating anaudit log

J Prabhudas 1 3 1 2 2 3 1 2 2 3 2 1

5

A hybrid cloudapproach for secureauthorizeddeduplication

K Archana 1 2 3 1 1 3 2 1 2 2 2 1


Summary Report of Best Projects Mapped with PSOs for the year 2016-2017Project Mapping with PSOs

S.No Name of the Project Project GuidePS Outcomes

1 2 3

1Automatic test packetgeneration

Dr. BVeeramallu

2 2 2

2Money transfer toanonymous

M Vijay Kumar 2 2 2

3A System to filterunwanted messagesfrom OSN user walls

M Sivanjaneyulu 2 2 2



Annotating searchresults from webdatabases

Ch Srinivasa Rao 3 2 2

Student PerformanceManagement System

P Anil Kumar 2 2 2


Summary Report of Average projects Mapped with PSOs for the year 2016-2017Project Mapping with PSOs

S.No Name of the Project Project GuidePS Outcomes

1 2 3

1Best Keyword coversearch

A Durga Bhavani 2 1 1

2Crawling HiddenObjects with KNNQueries

M Vijay Kumar 2 2 2

3Online consumerbehavior searching andbuying products

V P S VinayKumar

1 1 1

A triggered approach forgenerating an audit log

J Prabhudas 2 2 2

A hybrid cloudapproach for secureauthorized deduplication

K Archana 1 2 2


Summary Report of Best Projects Mapped with PEOs and PSOs for the year 2016-17.

Name of thestudent(s) Project title

Area ofSpecialization

ProjectGuide

Contributions/Achievements/

ResearchOutputs

Matchingwith

StatedPEOs

R V GayatriN ChaitanyaK ChandravathiP Mahesh

Automatic testpacketgeneration

NetworksDr. BVeeramallu

Award of B.Tech Degree

P1, P2,P3, P4, P5

Ch SowjanyaP SandhyaB J N RamanjaneyuluV Satish

Moneytransfer toanonymous

NetworksM VijayKumar


P1, P2,P3, P4, P5

N SoundrayaG HemamaliniV Sai SowjanyaM Padmavathi

A System tofilterunwantedmessages fromOSN userwalls

DataWarehousingand Mining

MSivanjaneyulu


P1, P2,P3, P4, P5

K Durga BhavaniK Naga ManiV P N LakshmiN Gopi Krishna

Annotatingsearch resultsfrom webdatabases


ChSrinivasaRao


P1, P2,P3, P4, P5

D Ramya KrishnaP NavyaM Silpa

StudentPerformanceManagement

Stand AloneApplication

P AnilKumar


P1, P2,P3, P4, P5



M Gopi Krishna System


Summary Report of Average Projects Mapped with PEOs for the year 2016-17


Area ofSpecializatio

n

ProjectGuide


ResearchOutputs

Matchingwith

StatedPEOs

N NaliniB MounikaP SunandaA Srikanth

Best Keywordcover search


ADurgaBhavani


P1, P2, P3,P4, P5

M JyothiN V PadmavathiG SunithaB Sravani

Crawling HiddenObjects with KNNQueries


M VijayKumar


P1, P2, P3,P4, P5

R TejasriK N S ManikantaD ManasaV L R Tejaswini

Online consumerbehavior searchingand buyingproducts


V P SVinayKumar


P1, P2, P3,P4, P5

M SindhuraB Sri LathaP L ManasaA Navyasree

A triggeredapproach forgenerating an auditlog


JPrabhudas


P1, P2, P3,P4, P5

SSNS DeekshaA BramarambhaCh AnithaCh Venu Gopal

A hybrid cloudapproach for secureauthorizeddeduplication


KArchana


P1, P2, P3,P4, P5


Summary Report of Best Projects Mapped with POs for the year 2015-2016.

Project Mapping with POs

S.No Name of theProject

ProjectGuide


1Student AttendanceManagement System

P RameshBabu

1 3 2 3 2 3 2 2 2 2 3 3

2Training andPlacement Cell

Dr. PChiranjeevi

1 3 2 3 1 3 2 2 2 2 2 3

3Block Cipher CBCmode of operationand 3-DES

B Naga Raju 1 3 3 3 2 3 2 2 2 2 3 3

4

Cam Cloud assistedprivacy preservingmobile healthmonitoring

G BharathKumar

1 3 2 2 1 2 3 3 1 2 2 2

5Online resumebuilder Application

VPS VinayKumar

2 1 3 2 2 2 2 3 3 2 2 2




Summary Report of Average Projects Mapped with POs for the year 2016-17.

Project Mapping with POs

S.NoName of the

ProjectProjectGuide


1 Student E BacktalkDr. PChiranjeevi

1 3 2 3 2 3 2 2 2 2 3 3

2Online LoanApplication andverification process

G BharathKimar

1 3 2 3 1 3 2 2 2 2 2 3

3Anatomy ofintrusion

P Pavani 1 3 3 3 2 3 2 2 2 2 3 3

4 Result Analysis K Swami 1 3 1 2 2 3 1 2 2 3 2 1

5Student electivesubject managementsoftware

M VijayKumar

1 2 3 1 1 3 2 1 2 2 2 1


Summary Report of Best Projects Mapped with PSOs for the year 2016-2017

Project Mapping with PSOs

S.No Name of the Project Project GuidePSO

1 2 3

1Student AttendanceManagement System

P Ramesh Babu 2 1 1

2Training and PlacementCell

Dr. P Chiranjeevi 2 2 2

3Block Cipher CBCmode of operation and3-DES

B Naga Raju 1 1 1

Cam Cloud assistedprivacy preservingmobile healthmonitoring

G BharathKumar

2 2 2

Online resume builderApplication

VPS VinayKumar

1 2 2


Summary Report of Average projects Mapped with PSOs for the year 2016-2017

Project Mapping with PSOs

S.No Name of the Project Project GuidePSO

1 2 31 Student E Backtalk Dr. P Chiranjeevi 2 2 2

2Online LoanApplication andverification process

G Bharath Kimar 2 2 2

3 Anatomy of intrusion P Pavani 2 2 2Result Analysis K Swami 3 2 2Student elective subjectmanagement software

M Vijay Kumar 2 2 2




Summary Report of Best Projects Mapped with PEOs and PSOs for the year 2016-17.

Name of thestudent(s)

Project title Area ofSpecialization

ProjectGuide


Research Outputs

Matching withStatedPEOs

D SindhuraD Tulasi SravyaAD NavyaA Haritha

StudentAttendanceManagementSystem


P RameshBabu

Award of B. TechDegree

P1, P2,P3, P4,P5

K HyndhaviK SailajaK SrujanaD L Manusha

Training andPlacementCell


Dr. PChiranjeevi


P1, P2,P3, P4,P5

K E Prasanth KumarT SwarupaM P SowmyaG Koteswara Rao

Block CipherCBC mode ofoperation and3-DES

NetworkSecurity

B NagaRaju


P1, P2,P3, P4,P5

K SowjanyaK DharaniK S GiridharG Brahmaiah

Cam Cloudassistedprivacypreservingmobile healthmonitoring

CloudComputing

GBharathKumar


P1, P2,P3, P4,P5

Y RamyaN MounikaM RanjitCh Mallikarjun

Online resumebuilderApplication


VPSVinayKumar


P1, P2,P3, P4,P5





n

ProjectGuide


ResearchOutputs

Matchingwith Stated

PEOs

T Kavitha RaniP Kavya SriP NaveenaP Anusha

Student E BacktalkStand AloneApplication

Dr. PChiranjeevi


P1, P2, P3,P4, P5

I LakshmiB JyotshnaG SahithiCh Sireesha

Online LoanApplication andverification process


GBharathKumar


P1, P2, P3,P4, P5

Ch MadhuriG Naga SuneethaCh RamyaK Bhargavi

Anatomy ofintrusion

NetworkSecurity

PPavani


P1, P2, P3,P4, P5

A R RajeswariCh SowmyaG RavaliANL Keerthana

Result AnalysisStand AloneApplication

KSwami


P1, P2, P3,P4, P5

K V S SaranM Chaitanya

Student electivesubject


M VijayKumar


P1, P2, P3,P4, P5



P S RangaS Sai Pavan

managementsoftware


Best Projects of 2014-15

Name ofthe

student(s)Project title


n

ProjectGuide

Contributions/Achievements/ Research Outputs

Matchingwith

StatedPEOs

Sri G NagaSankar

Effectivenavigationof queryresults

WebApplication

Ms.PRameshBabu

Award of B.Tech DegreeP2,P3, P4,P5


Name ofthe

student(s)

Projecttitle

Area ofSpecialization

ProjectGuide

Contributions/Achievements/Research Outputs

Matchingwith

StatedPEOs

B LavanyaEnhancedSecurityfor OnlineExams

WebApplication

Sri.MRajeshReddy

Award of B.Tech DegreeP1, P3,P4,p5

Attainment of COs - PROJECTS (Sample Sheet for 2 groups only)

GroupS.

No.

Student Name

Project Rubric performance indicator aligned

to Course Outcomes and marks obtained


in %Total

PI1 PI2 PI3 PI4 PI5 Total CO1 CO2 CO3

CO4

CO5

Distribution ofmarks

15 20 15 25 25 100Target Set to 80%

80% 80% 80%80%80%

1

SRINIVAS 14 18 14 25 24 95 3 3 2 2 3 13SANDHYA RANI 13 19 14 24 24 94 2 2 3 1 2 10NAMITA 13 17 14 23 22 89 1 2 2 3 1 9AIZAZ 12 18 13 24 23 90 1 0 1 1 1 4

2

M sowmya 14 19 13 24 23 93 2 2 3 3 1 12Y murali Krishna 13 17 12 22 22 86 2 1 1 1 2 7S ramya 13 18 13 23 22 89 1 1 2 3 2 9N abhinay kumar 13 19 14 22 23 91 1 1 0 1 2 5Average/Total 13.125 18.125 13.375 23.375 22.875 85 13 13 14 15 14Avg % PI 83%

PI 1: Motivation and Reason of developing the project: Relate with Social, Environmental

and Ethical values

PI 2: In depth use of an extensive range of relevant literature

PI 3: Broad study of the advantages and Disadvantages of earlier existing projects related with

the same idea.



PI 4: Clearly demonstrated analysis of own research in relation to academic research and theory.

PI 5: Sound Analysis of Different strategies available with related project is done

2.2.4. Initiatives related to industry interaction (15)

o Industry trainings and visits

o Industry Expert lectures

o Membership to professional societies

o Industry projects

o Value added programs and seminars organized and participated by students

As evident from above both Traditional and Innovative Techniques are used to ensure course

objectives and delivered effectively such as Chalk and board, Laboratory /workshop practical,

tutorials, Seminars /guest lectures, Assignments, Surprise Tests and technical Quizzes, practical

training in industry/project work in industry, Industrial training and PPTs which are more traditional.

For innovative approaches for delivery following strategies are used:

o Innovative Approaches

o Learning through Problem solving

o Designing lab experiments

o E-tutorials

o NPTEL

o Cooperative learning

o Problem solving/ Brainstorming

o Active learning

o Self-learning through simulations/software

o An expert from Industry is considered to be a member of Department Assessment Committee

who takes active role in the design of curriculum gap.

o The institution has MOU‟s with various industries to strengthen the relationships with industry.

Effectiveness: Feedback from students about industrial visit and training is collected and impact of

such interventions is assessed. Based on which corrective actions are taken.

Corrective action points:

o Training report of the student is collected and analyzed for positive impact.

o Student feedback is utilized for exposure to better industries

o Students are exposed to real working environment in the industry.

o Students are required to deliver presentation about their industrial visit and training

o Feedback from industries where the internship is conducted is also obtained from students

as well as from the industry.

o Based on above feedback corrective action is taken to streamline the internship and training



for subsequent batches.

o Care is taken such that POs and PSOs are MET through these activities.

S.No.

Event Topic Resource PersonNo of Students

ParticipatedDate ofEvent

PO'smet with

1Workshop

21st centuryEngineeringEducation

Dr. P G Sastry 100 30-10-2017

PO2

2Guest Lecture

Storage AreaNetworks

D.Veera prasad 106 12/9/2016 PO 2

Guest Lecture IOTMr. Sk KhadarBaba

103 26/8/2017 8,9,10

3 Guest Lecture Cloud computing Dr MSR Prasad 118 16/7/2016 PO 44

Guest LectureData Analytics Sri k Indrajith 102 4/02/2016

PO 15 Guest Lecture Data Mining Dr K S Rao 106 3/11/2015 PO 36 Guest Lecture Oracle SOA Dr chiranjeevi P 83 9/07/2015 PO 27

Guest LectureWeb applicationDevelopment

Sri Suresh k 96 16/03/2015

PO 2

8Guest Lecture

ComputerOrganization

Sri P Rameshbabu

109 07/01/2015 PO 4

9Guest Lecture

Data Mining Sri K ChandraSekhar

112 24/12/2014

PO 2

10Guest Lecture

Soft wareEngineering

Dr M S RPrasad

117 3/08/2014 PO 3

2.2.5. Initiatives related to industry internship/summer training (15)

INDUSTRIAL TRAINING:The student has to execute a project work preferably at industry/R&D institution. The industrial

training is assessed by external and internal examiners through presentation and viva- voce.

Industry Internship 2016-2017S.NO

Name Year Internship Company

1 K. V Bhargava 2016-2017 Security AuditorHackers School ,

Cartel Software Pvt. Ltd.New Delhi

2 Ch Gowtham Kumar 2016-2017Geo Smser appDevelopment

Innogeecks Technologies,Vijayawada

3 Siva ram Prasad

2016-2017 .Net TechnologiesInnogeecks Technologies,

Vijayawada

4 Deepa5 Sri lakshmi6 Jyostna7 Srilatha


Name Year Internship Company1 K Hyndavi 2015-2016 App Development Colors software solutions2 D sindhu 2015-2016 Android Advantage One Group




Name Year Internship Company1 Ch Sri Latha 2014-2015 Java ASM Technologies2 L Rama Krishna 2014-2015 Android IonIdea, Banglore3 L sindhu 2014-2015 .Net ASM Technologies

Industrial Visits: CAY (2016-17)

S.No. Name of IndustryWith location Resource Person

DurationMonth year- Month

YearNumber ofStudents

1Infosys Spark Program

Infosys campus,Bangalore

Mr. PRamalingam

17-03-2017 to 18-04-2017 95

Industrial Visits: CAY (2015-16)S.No. Name of Industry

With locationResource Person Duration

Month year- Month YearNumber ofStudents

1 Efftronics Pvt.ltd Mr. ch Ajay 13-07-2016 to 12-08-2016 112

2 Colors software solutions Mr Jaya krisha Reddy 07-04-2016 to 06-05-2016 102

Industrial Visits: CAY (2014-15)S.No. Name of Industry

With locationResource Person Duration

Month year- Month YearNumber ofStudents

1 Wipro Technologies Rohith 04/05/2015 to 03-05-2015 99

2 Colors software solutions Abhishek 10/11/2014 to 30/11/2014 93

Implementation Details and Impact Analysis:

i. The College/placement cell will facilitate and monitor the student internship program.

ii. The College/Department/placement cell will strongly encourage students to undergo Internship

during vacation

iii. The internal guide has to visit the origination to know the performance of students during

internship period.

iv. The student shall make a midterm presentation of the activities undertaken during the

internship to a panel comprising Internship guide, a senior faculty from the department and

Head of the Department.

v. The student has to submit internship report to the Department.

vi. In case, if student makes any patents/copyrights, then royalty will be shared among all.

(industry side, college side).

Feedback and Impact Analysis: Effectiveness of this process is analyzed through feedback from the

students, through their performance in examinations/ Viva-voce, from the Alumni, from

Industries etc. Feedback from Industries is used for the improvement in training for further

batches.



CRITERION-3 Course Outcomes and Program Outcomes 120

3. COURSE OUTCOMES AND PROGRAMOUTCOMES (120)

3.1 Establish the correlation between the courses and the Program Outcomes (POs) andProgram Specific Outcomes (PSOs)(20)

(Program Outcomes as mentioned in Annexure I and Program Specific Outcomes as defined

by the Program)

PO1 Engineering Knowledge: Apply knowledge of mathematics and science, with

fundamentals of Computer Science & Engineering to be able to solve complex

engineering problems related to CSE.

PO2 Problem Analysis: Identify, Formulate, review research literature and analyze complex

engineering problems related to CSE and reaching substantiated conclusions using first

principles of mathematics, natural sciences and engineering sciences.

PO3 Design/Development of solutions: Design solutions for complex engineering problems

related to CSE 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.

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.

PO5 Modern Tool Usage: Create, Select and apply appropriate techniques, resources and

modern engineering and IT tools including prediction and modeling to computer science

related complex engineering activities with an understanding of the limitations.

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 CSE professional Engineering practice.

PO7 Environment and Sustainability: Understand the impact of the CSE professional

engineering solutions in societal and environmental contexts and demonstrate the

knowledge of, and need for sustainable development

PO8 Ethics: Apply Ethical Principles and commit to professional ethics and responsibilities

and norms of the engineering practice.

PO9 Individual and Team Work: Function effectively as an individual and as a member or

leader in diverse teams and in multidisciplinary Settings.

PO10 Communication: Communicate effectively on complex engineering activities with the

engineering community and with society at large such as able to comprehend and with write

effective reports and design documentation, make effective presentations and give and receive



clear instructions.

PO11 Project Management and Finance: Demonstrate knowledge and understanding of the

engineering management principles and apply these to one’s own work, as a member and

leader in a team, to manage projects and in multi-disciplinary environments.

PO12 Life-Long Learning: Recognize the need for and have the preparation and ability to

engage in independent and life-long learning the broadest context of technological

change.

List of PSO’s

PS01: Foundation of mathematical concepts: To use mathematical methodologies to crack

problem using suitable mathematical analysis, data structure and suitable algorithm.

PSO2: Foundation of Computer System: the ability to interpret the fundamental concepts and

methodology of computer systems. Students can understand the functionality of hardware and

software aspects of computer systems.

PSO3: Foundations of Software development: the ability to grasp the software development

lifecycle and methodologies of software systems. Possess competent skills and knowledge of

software design process. Familiarity and practical proficiency with a broad area of

programming concepts and provide new ideas and innovations towards research.

Correlation between POs PSO’s

PO’S PS01 PS02 PS03

PO1 3 2 2

PO2 2 1 2

PO3 2 3 3

PO4 2 2 1

PO5 2 2 2

PO6 3 2 2

PO7 1 3 2

PO8 2 2 3

PO9 2 2 3

PO10 1 2 2

PO11 2 2 3

PO12 3 3 3



3.1.1.Course Outcomes(COs)(SAR should include course outcomes of one course from each

semester of study, however, should be prepared for all courses and made available as evidence,

if asked)(05)

Note: Number of Outcomes for a Course is expected to be around 6.

Course

Name:

Data Structures Course Year: 2016-2017

Items Description

C201.1Exposure to Algorithmic complexities, recursive algorithms, searching and sorting

techniques

C201.2 Applying stack and queue techniques for logical operations

C201.3 Exposure to list representation models in various types of applications

C201.4 Implementation of tree implementation in various forms

C201.5 Advanced understanding of other variants trees and their operations

C201.6 Orientation on graphs, representation of graphs, graph traversals, spanning trees

Course

Name:

Java Programming Course Year: 2016-2017Items Description

C202.1 Gain the basic knowledge on Object Oriented concepts.

C202.2 Ability to develop applications using Object Oriented Programming Concepts.

C202.3 Ability to implement features of object oriented programming to solve real world

C202.4Students get good understanding in the fundamentals of object oriented programming

which includes class scope, constructors , destructors and overloading concepts

Course

Name:

Computer Organization Course Year: 2016-2017

Items Description

C202.1Ability to understand the organization of computer and machine instructions and

programs

C202.2 Ability to understand Input / Output Organization

C202.3 Analyze the working of the memory system and basic processing unit.

C202.4 Ability to solve problems of multiprocessors and clusters.

Course

Name:

Operating Systems Course Year: 2016-2017Items Description

C301.1 To understand the role and responsibilities of system calls in OS

C301.2To analyses the process states and process scheduling in OS which deals with the

processes for execution.



C301.3 To analyze process synchronization

C301.4To apply the knowledge about OS with memory management and secondary storage

management.

C301.5CO 5: To analyze deadlocks in operating system when more than one processes is

sharing different kinds of resources.

Course

Name:

Database Management Systems Course Year: 2016-2017

Items Description

C301.1 Able to apply the concepts and design database for given information system.

C301.2 Develop database programming skills in SQL.

C301.3 Apply the concepts of Normalization and design database which possess no anomalies.

C301.4Able to write application programs considering the issues like concurrency control,

recovery and security.

Course

Name:

Cryptography and Network Security Course Year: 2016-2017

Items Description

C401.1Able to write application programs considering the issues like concurrency control,

recovery and security.

C401.2 Identify the security issue in the network and resolve it

C401.3 Explain and analyze the basic Cryptographic algorithm for security

C401.4 Evaluate security mechanism using rigorous approaches

3.1.2.CO-PO matrices of courses selected in 3.1.1 (six matrices to be mentioned; one persemester from 3

rdto 8

thsemester)(05)

1. Course name: Data StructuresCourse PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12C201.1 2 2 3 2 3 1 2 2 1 2 3 1C201.2 3 3 1 2 1 2 1 2 2 3 1 1C201.3 3 3 2 3 2 1 3 1 2 2 3 2C201.4 2 2 2 1 2 2 1 2 3 2 1 3C201.5 2 2 2 2 2 1 1 3 3 1 2 2C201.6 2 2 3 2 1 3 2 2 1 2 2 1

Average 2.33 2.33 2.17 2 1.83 1.67 1.67 2 2 2 2 1.67

2. Course name: Java ProgrammingCourse PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12C202.1 - - - 2 - - - - - - - -C202.2 3 3 2 1 3 - - - - - - -C202.3 3 3 3 - 3 2 2 - - - - -C202.4 - - 2 3 3 2 2 - - 2 - 3

Average 3 3 2.33 2 3 2 2 - - 2 - 3



3. Course name: Computer OrganizationCourse PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12C202.1 3 3 1 2 2 2 1 1 - 1 - 1C202.2 2 2 2 2 2 3 3 2 2 2 3 2C202.3 2 2 2 2 2 2 2 - 1 3 - 2C202.4 3 3 3 2 2 2 3 2 2 1 1 2

Average 2.5 2.5 2 2 2 2.25 2.25 1.67 1.67 1.75 2 1.75

4. Course name: Operating SystemsCourse PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12C301.1 2 2 2 3 1 3 2 1 2 2 1 3C301.2 3 3 1 1 3 1 2 2 - 3 2 1C301.3 3 3 2 2 2 2 3 3 3 - 3 2C301.4 2 2 2 3 1 3 3 2 1 2 2 3C301.5 2 1 2 1 2 1 2 3 1 2 1 2

Average 2.4 2.2 1.8 2 1.8 2 2.4 2.2 1.75 2.25 1.8 2.2

5. Course name: Database Management SystemsCourse PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12C301.1 - - 2 - 2 - - - - 3 - -C301.2 2 2 2 3 3 - 2 - 2 3 - 3C301.3 - - 2 - - - 2 - - 3 - 2C301.4 - - - 1 3 - - - 2 2 - 2Average 2 2 2 2 2.67 - 2 - 2 2.75 - 2.33

6. Course name: Cryptography and Network SecurityCourse PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12C401.1 3 3 2 1 1 2 1 3 3 2 3 2C401.2 2 2 3 1 2 2 2 2 3 1 2 3C401.3 1 1 2 2 2 2 2 3 2 3 2 1C401.4 2 2 2 2 2 3 3 2 2 3 3 3

Average 2 2 2.25 1.5 1.75 2.25 2 2.5 2.5 2.25 2.5 2.25

Note:

Correlation levels 1,2 or3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High) If there is no correlation, put “-”

2. CO- PSO Matrices of the selected courses1. Course name: Data Structures

Course PSO1 PSO2 PSO3C201.1 3 2 1C201.2 3 2 -C201.3 3 2 -C201.4 3 2 -C201.5 3 1 2C201.6 - 1 2

Average 3 1.67 1.67



2. Course name: Java ProgrammingCourse PSO1 PSO2 PSO3C202.1 3 1 3C202.2 2 1 3C202.3 2 2 3C202.4 1 1 3

Average 2 1.25 3

3. Course name: Computer OrganizationCourse PSO1 PSO2 PSO3C301.1 3 2 1C301.2 2 3 1C301.3 2 3 2C301.4 3 2 1

Average 2.5 2.5 1.25

4. Course name: Operating SystemsCourse PSO1 PSO2 PSO3C301.1 3 2 1C301.2 3 2 2C301.3 3 2 1C301.4 3 2 2

Average 3 2 1.5

5. Course name: Database Management SystemsCourse PSO1 PSO2 PSO3C405.1 3 3 3C405.2 1 2 3C405.3 2 3 2C405.4 1 1 3

Average 1.75 2.25 2.75

6. Course name: Cryptography and Network Security

Course PSO1 PSO2 PSO3C401.1 1 3 1C401.2 3 3 2C401.3 2 2 3C401.4 1 1 3

Average 1.75 2.25 2.25

3.1.3. Program level Course-PO matrix of all courses INCLUDING first year courses (10)

Course PO1

PO2

PO3

PO4

PO5

PO6

PO7

PO8

PO9

PO10

PO11

PO12

Semester-IEnglish – I 3 3 2 2 2 0 0 0 2 2 0 2Mathematics -I

3 2 3 3 0 0 2 3 0 0 0 2

EngineeringChemistry

3 3 2 3 2 2 3 1 2 1 1 1

Engineering 3 3 3 3 2 2 2 3 2 2 2 1



MechanicsComputerProgramming

3 3 3 3 3 0 0 0 2 2 2 0

EnvironmentalStudies

2 2 2 1 0 0 0 0 0 0 2 2

Semester-IIEnglish – II 2 2 2 1 0 0 0 0 0 0 2 2Mathematics –II

3 3 2 3 0 0 0 2 0 2 2 1

Mathematics –III

3 3 3 2 2 0 0 0 2 2 0 1

EngineeringPhysics

3 3 3 2 2 0 0 0 2 2 0 1

ProfessionalEthics andHuman Values

3 3 3 3 0 0 0 3 2 2 0 0

EngineeringDrawing

3 3 3 2 3 0 0 0 0 3 3 0

Semester-IIIManagerialEconomics andFinancialAnalysis

3 2 2 2 2 0 1 0 1 1 0 2

ObjectOrientedProgrammingthrough C++

3 2 2 2 1 1 1 1 0 0 2 3

MathematicalFoundations ofComputerScience

3 3 3 3 0 0 0 3 2 2 0 0

Digital LogicDesign

3 2 2 0 0 0 0 2 0 0 0 1

Data Structures 0 0 2 2 2 2 0 2 1 0 0 1Semester-IV

Probability andstatistics

3 1 2 2 1 2 1 2 2 0 0 0

JavaProgramming

2 3 2 2 3 2 1 1 2 3 2 1

Advanced DataStructures

2 3 3 2 2 2 2 3 2 3 3 2

ComputerOrganization

2 3 2 2 2 0 0 0 0 0 0 2

FormalLanguages andAutomataTheory

1 2 2 3 1 0 0 2 2 1 2 3

Semester-VCompilerDesign

2 3 2 2 2 2 1 3 2 2 2 3

Data 3 3 3 2 0 0 0 2 2 1 0 0



CommunicationPrinciples ofProgrammingLanguages

2 2 3 3 3 3 3 2 3 3 3 2

DatabaseManagementSystems

1 2 2 3 3 2 1 1 0 0 0 1

OperatingSystems

3 2 2 2 0 0 1 1 1 1 1 2

Semester-VIComputerNetworks

3 2 3 2 1 2 2 1 0 0 2 1

Data Warehousing andMining

2 1 2 2 1 1 2 1 1 2 1 2

Design andAnalysis ofAlgorithms

2 2 2 2 2 1 1 0 1 0 1 3

SoftwareEngineering

2 2 2 1 1 1 0 1 1 2 2 1

WebTechnologies

3 2 3 2 2 0 0 1 1 1 2 1

Semester-VIICryptographyand NetworkSecurity

2 2 2 2 3 2 2 2 2 2 2 3

UML &DesignPatterns

3 3 2 0 2 0 0 0 0 2 0 0

MobileComputing

2 2 3 3 0 3 0 2 1 2 2 2

SoftwareTestingMethodologies

1 1 2 1 1 0 0 2 0 0 1 2

Hadoop andBig Data

2 2 0 1 1 0 0 3 0 3 1 1

Semester-VIIIHumanComputerInteraction

2 2 2 2 1 0 0 1 1 0 1 1

CloudComputing

2 2 0 0 0 0 0 3 0 3 1 1

DistributedSystems

2 2 3 3 0 2 0 3 2 0 2 1

ManagementScience

2 2 3 2 0 2 0 3 3 1 2 1

B Program level Course-PSO matrix of all courses INCLUDING first year courses

1. Correlation levels 1, 2 or3 as defined below:1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High) if there is no correlation, put “-”



It may be noted that contents of Table 3.1.2 must be consistent within formation available in Table3.1.3 for all the courses.

2. Program Level CO-PSO matrices for all courses including first year courses.

Course PSO1 PSO2 PSO3English – I 3 2 1Mathematics - I 3 3 1Engineering Chemistry 0 2 3Engineering Mechanics 2 2 3Computer Programming 0 1 3Environmental Studies 2 2 2English – II 3 2 1Mathematics – II 3 3 1Mathematics – III 0 2 3Engineering Physics 2 2 3Professional Ethics and Human Values 0 1 3Engineering Drawing 2 2 2Managerial Economics and FinancialAnalysis

3 2 1

Object Oriented Programming throughC++

3 3 1

Mathematical Foundations of ComputerScience

0 2 3

Digital Logic Design 2 2 3Data Structures 0 1 3Probability and statistics 2 2 2Java Programming 3 2 1Advanced Data Structures 3 3 1Computer Organization 0 2 3Formal Languages and Automata Theory 2 2 3Compiler Design 0 1 3Data Communication 2 2 2Principles of Programming Languages 3 2 1Database Management Systems 3 3 1Operating Systems 0 2 3Computer Networks 2 2 3Data Ware housing and Mining 0 1 3Design and Analysis of Algorithms 2 2 2Software Engineering 3 2 1Web Technologies 3 3 1Cryptography and Network Security 0 2 3UML & Design Patterns 2 2 3Mobile Computing 0 1 3Software Testing Methodologies 2 2 2Hadoop and Big Data 3 2 1Human Computer Interaction 3 3 1Cloud Computing 0 2 3Distributed Systems 2 2 3Management Science 0 1 3



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)

(Examples of data collection processes may include, but are not limited to, specific exam/ tutorial

questions, assignments, laboratory tests, project evaluation, student portfolios(A portfolio is a

collection of art if acts that demonstrate skills, personal characteristics and accomplishment screated

by the student during study period), internally developed assessment exams, project presentations, oral

exams etc.)

The key aspects in Outcome-Based Education (OBE) are the assessment of course outcomes. At the

initial stage of OBE implementation, the Course Outcomes (CO’s) for each course are defined based

on the Programme Outcome (PO’s) and other requirements. At the end of each course, the COs needs

to be assessed and evaluated, to check whether it has been attained or not. Assessment is one or more

processes, carried out by the department, that identify, collect, and prepare data to evaluate the

achievement of programme educational objectives and programme Outcomes. Attainment is the action

or fact of achieving a standard result towards accomplishment of desired goals. Primarily attainment is

the standard of academic attainment as observed by test or examination result. Attainment of the COs

can be measured directly and indirectly. Direct attainment basically displays the student’s knowledge

and skills from their performance. It can be determined from the performance of the students in all the

relevant assessment instruments – like internal assessments, assignments, quiz and final university

examination. These methods provide a sampling of what students know and/or can do and provide

strong evidence of student learning. Indirect methods such as surveys and interviews ask the

stakeholders to reflect on student’s learning. They assess opinions or thoughts about the graduate’s

knowledge or skills. Indirect measures can provide information about graduate’s perception of their

learning and how this learning is valued by different stakeholders.

(A) Internal Tests/Exams:

The Internal Assessment marks in theory papers shall be based on two tests generally

conducted twice in each semester as per the academic calendar stipulated by the affiliated

university.

There shall be a maximum of 30 Internal Assessment Marks in each theory subjects.

Question papers for the corresponding course will be prepared by the respective course faculty

and will be submitted to the Internal Test Coordinator well in advance.

The Test Coordination team consists of following faculties:



Faculty Name Designation

Sri. V P S Vinay Kumar Assistant Professor

Ms. K Archana Assistant Professor

Students’ performance in the IA test is evaluated as per the scheme and solution prepared by

the corresponding course faculty.

(B) Laboratory Exam Evaluation:

The Internal Assessment marks shall be based on the laboratory reports and practical test.

The laboratory in-charge will conduct the practical test.

There shall be a maximum of 25 Internal Assessment Marks in each practical paper

The evaluation procedure for laboratory courses are done by the laboratory In-Charge(s) based

on the following parameters: Divided into three components: Continuous Assessment: 10

marks, Record: 5 marks and Internal Test: 10 marks

(C) Seminar Work Evaluation:

One seminar will be conducted per student in the final year 8th semester by a committee

consisting of the Head of the Department and three senior faculty members of the department

whom shall be the Seminar Coordinator(s).

The Committee members are:

Faculty Name Designation

Dr. P Chiranjeevi Director of Academics

Sri. M. Vijay Kumar Associate Professor

Sri. P Ramesh Babu Associate Professor

Seminar topic shall be selected from the emerging technical areas.

The Internal Assessment marks are given based on the evaluation done by the committee

members (Head of the Department and Seminar Coordinator(s)) along with the guide and

reviewer following the rubrics set by the department as follows:

Component Marks Criteria

Presentation

10 Clarity in presentation10 Understanding concepts15 Answering queries5 Organizing the presentation

Technical Seminar Report 10 Completeness of the report



(D) Project Work Evaluation:

Project work at 8th semester shall be completed batch wise, each batch consisting of a

maximum of four candidates.

The Project Coordinator(s) gives the instructions to the students by the end of 7th semester and

project batches are formed among the student.

The Project Coordination team consists of the following faculty members:

Faculty Name DesignationSri. P Ramesh Babu Associate ProfessorSri. M Sivanjayenulu Associate ProfessorSri. Sd Yasin Associate Professor

Students will submit the synopsis of their project to the project coordinator(s) for scrutinizing.

By the end of 7th semester zeroth review will be conducted to the students in order to approve

and finalize the selected topic.

Based on the area of specialization and competency skills of the faculties, project

coordinator(s) will allocate the batches to the internal guides.

The internal guide will continuously guide and monitor the students on weekly basis and get

the updates of the works done by their corresponding batch of students.

Three project reviews will be conducted by the corresponding internal guide along with project

coordinator(s) based on a schedule.

S.No Review Scheduled Dates

1 1st Review January 27th – 31st, 2017

2 2nd Review February 21st – 25th, 2017

3 Final Review March 7th – 12th, 2017

The Internal Assessment marks in case of project shall be based on the evaluation at the end of

8th semester by the committee consisting of Head of the Department, Project Coordinator(s)

and faculty members of the department whom shall be the project guide.

The Internal Assessment marks will be submitted to the department once the evaluation is

done.

Viva-voce examination in project work shall be conducted batch-wise by the panel of members

assigned by the university. Based on the performance of the students, the external viva voce

marks are awarded and the same is submitted to the university.

The department encourages the students to showcase their skills by publishing papers in

conferences/journals forum and participating in technical paper presentations.



3.2.2. Record the attainment of Course Outcomes of all courses with respect to set attainment

levels (40)

Practical aligned to course outcomes and marks obtained

SNo Roll No Name

P1,P2 P3,P4 P5,P6 P7,P8 P9,P10

Labrecord

Expr.

result

Viva

Total

Labrecord

Expr.

result

Viva

Total

Labrecord

Expr.

result

Viva

Total

Labrecord

Expr.

result

Viva

Total

Labrecord

Expr.

result

Viva

Total

1 3 5 9 2 2 610

2 2 5 9 2 2 5 9 2 2 5 9


1 3 4 8 1 2 4 7 2 2 4 8 1 2 4 7 2 2 4 8

2 15AJ1A0502A MahesHbabu

1 2 4 7 2 2 4 8 1 2 4 7 2 2 4 8 2 2 4 8


1 2 4 7 2 2 4 8 2 2 4 8 1 2 4 7 2 2 4 8

4 15AJ1A0504 A Kavitha 1 2 4 7 2 2 4 8 2 2 4 8 2 2 4 8 2 2 4 8

5 15AJ1A0505ASusmitha

1 2 4 7 2 2 4 8 1 2 4 7 2 2 4 8 2 2 4 8

6 15AJ1A0506 A Harika 1 2 4 7 2 2 4 8 2 2 4 8 1 2 4 7 2 2 4 8

7 15AJ1A0507E N VVpriya

1 3 4 8 1 2 4 7 2 2 4 8 2 2 4 8 2 2 4 8

8 15AJ1A0508 E Swapna 1 2 4 7 2 2 4 8 1 2 4 7 2 2 4 8 2 2 4 8

9 15AJ1A0509E SiriVarshni

1 2 4 7 2 2 4 8 2 2 4 8 2 2 4 8 2 2 4 8

10 15AJ1A0510E MChakravarthy

1 3 4 8 1 2 4 7 2 2 4 8 2 2 4 8 2 2 4 8

11 15AJ1A0511ENagadivya

1 2 4 7 2 2 4 8 1 2 4 7 2 2 4 8 2 2 4 8

12 15AJ1A0512 E Tejasri 1 2 4 7 2 2 4 8 2 2 4 8 2 2 4 8 2 2 4 8

13 15AJ1A0513ChVenkateswara Rao

1 2 4 7 2 2 4 8 2 2 4 8 2 2 4 8 2 2 4 8

14 15AJ1A0514Ch GeethaVani

1 2 4 7 2 2 4 8 2 2 4 8 2 2 4 8 2 2 4 8

15 15AJ1A0515Ch RaviKishore

1 2 4 7 2 2 4 8 2 2 4 8 1 2 4 7 2 2 4 8

16 15AJ1A0516ChAbhigna

1 3 4 8 1 2 4 7 2 2 4 8 2 2 4 8 2 2 4 8

17 15AJ1A0517 D S Sai 1 3 4 8 1 2 4 7 2 2 4 8 2 2 4 8 2 2 4 818 15AJ1A0518 K Anjitha 1 2 4 7 2 2 4 8 2 2 4 8 1 2 4 7 2 2 4 8



Attainment of course outcome for quiz:

Sno

Roll NoName of the

Student

Practical aligned to course out comes and marks obtainedCO1 CO2 CO3 CO4 CO5

Q1

TOT

Q1

TOT

Q1

TOT

Q1

TOT

Q1

TOT

CO1

CO2

CO3

CO4

CO5

Avg.CO

Distribution of Marks 5 5 5 5 5 5 5 5 5 570%

70%

70%

70%

70%

70%

Set Target Level 70% 70% 70% 70% 70%


2 2 3 3 2 2 3 3 2 2 1 1 1 0 0 3

2 15AJ1A0502 A Mahes Hbabu 3 3 4 4 3 3 4 4 3 3 2 2 2 1 1 8


1 1 5 5 1 1 5 5 1 1 1 1 1 0 0 3

4 15AJ1A0504 A Kavitha 4 4 4 4 4 4 4 4 4 4 2 2 2 1 1 85 15AJ1A0505 A Susmitha 5 5 3 3 5 5 3 3 5 5 2 2 2 1 1 86 15AJ1A0506 A Harika 5 5 5 5 2 2 2 1 1 87 15AJ1A0507 E N V Vpriya 4 4 4 4 4 4 4 4 4 4 1 1 1 0 0 38 15AJ1A0508 E Swapna 3 3 3 3 3 3 3 3 3 3 1 1 1 0 0 39 15AJ1A0509 E Siri Varshni 4 4 2 2 4 4 2 2 4 4 1 1 1 0 0 310 15AJ1A0510 E M Chakravarthy 5 5 3 3 5 5 3 3 5 5 2 2 2 1 1 811 15AJ1A0511 E Nagadivya 4 4 1 1 4 4 1 1 4 4 2 2 2 1 1 812 15AJ1A0512 E Tejasri 3 3 4 4 3 3 4 4 3 3 1 1 1 0 0 3

13 15AJ1A0513Ch VenkateswaraRao

5 5 5 5 5 5 5 5 5 5 1 1 1 0 0 3

14 15AJ1A0514 Ch Geetha Vani 4 4 4 4 4 4 2 2 2 1 1 815 15AJ1A0515 Ch Ravi Kishore 3 3 4 4 3 3 4 4 3 3 1 1 1 0 0 3

Attainment of CO (MET/ NOT MET ) in University examination.

SNo Roll NoQuestions aligned

to course outcomes and marks

obtainedAttainment

COMet or

Not

Met= 1Not met=

0Maximum Marks 75.00 35.00Set Target Level 45.00

1 15AJ1A0501 A Lakshmi prasanna 36 2 Met 12 15AJ1A0502 A Mahesh babu 38 3 Met 13 15AJ1A0503 A Puneeth

Chowdary41 2 Met 1

4 15AJ1A0504 A Kavitha 43 3 Met 15 15AJ1A0505 A Susmitha 45 3 Met 16 15AJ1A0506 A Harika 35 2 Met 17 15AJ1A0507 E N V Vpriya 37 3 Met 18 15AJ1A0508 E Swapna 32 2 Met 19 15AJ1A0509 E Sirivarshni 35 3 Met 110 15AJ1A0510 E M Chakravarthy 33 3 Met 111 15AJ1A0511 E Nagadivya 32 2 Met 112 15aj1a0512 E Tejasri 31 2 Met 1



PO Attainment of individual courses

Semester Course Name PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9

PO10

PO11

PO12

3rd

semester

Data structures 2.9 2.2 2.9 2.8 2.9 1.9 2.2 2.7 2.1 2.6 2.4 1.8Managerial Economics andFinancial Analysis

2.2 2.1 2.4 2.6 2.9 2.2 2.9 2.8 2.8 2.1 1.9 2.2

Object Oriented Programmingthrough C++

2.9 2.2 2.9 2.8 2.8 1.9 2.2 2.7 2.1 2.6 2.4 1.8

Mathematical Foundations ofComputer Science

2.4 2.6 2.9 2.6 2.7 1.8 2.8 2.7 2.1 2.4 1.8 1.6

Digital Logic Design 2.2 2.1 2.4 2.6 2.9 2.2 2.9 2.8 2.8 2.1 1.9 2.2

4th

semester

Computer organization 2.4 2.6 2.9 2.6 2.6 1.8 2.8 2.7 2.1 2.4 1.8 1.6Probability and statistics 2.2 2.1 2.4 2.6 2.9 2.6 2.4 1.8 1.6 2.1 2.4 2.6Java Programming 2.4 2.6 2.9 2.6 2.6 1.8 2.8 2.7 2.1 2.4 1.8 1.6Advanced Data Structures 2.2 2.1 2.4 2.6 2.9 2.6 2.4 1.8 1.6 2.1 2.4 2.6Formal Languages andAutomata Theory

2.9 2.2 2.9 2.8 2.7 1.9 2.2 2.7 2.1 2.6 2.4 1.8

5th

semester

Operating systems 2.8 2.7 2.1 2.4 2.6 2.9 2.6 2.4 1.8 1.6 1.8 2.3Compiler Design 2.2 2.1 2.4 2.6 2.9 2.2 2.9 2.8 2.8 2.1 1.9 2.2Data Communication 2.4 2.6 2.9 2.6 2.8 1.8 2.8 2.7 2.1 2.4 1.8 1.6Principles of ProgrammingLanguages

2.2 2.1 2.4 2.6 2.9 2.2 2.9 2.8 2.8 2.1 1.9 2.2

Database ManagementSystems

2.2 2.1 2.4 2.6 2.9 2.2 2.9 2.8 2.8 2.1 1.9 2.2

6th

semester

Design and analysis ofalgorithms

2.2 2.1 2.4 2.6 2.9 2.6 2.4 1.8 1.6 2.1 2.4 2.6

Computer Networks 2.4 2.6 2.9 2.6 2.6 1.8 2.8 2.7 2.1 2.4 1.8 1.6Data Ware housing andMining

2.2 2.1 2.4 2.6 2.9 2.2 2.9 2.8 2.8 2.1 1.9 2.2

Software Engineering 2.4 2.6 2.9 2.6 2.5 1.8 2.8 2.7 2.1 2.4 1.8 1.6Web Technologies 2.8 3.1 1.9 2.2 2.7 2.1 2.6 2.4 1.8 2.9 2.2 2.9

7th

semester

UML&DP 2.9 2.2 2.9 2.8 2.1 1.9 2.2 2.7 2.1 2.6 2.4 1.8Cryptography and NetworkSecurity

2.9 2.2 2.9 2.8 2.8 1.9 2.2 2.7 2.1 2.6 2.4 1.8

Mobile Computing 2.2 2.1 2.4 2.6 2.9 2.2 2.9 2.8 2.8 2.1 1.9 2.2Software TestingMethodologies

2.2 2.1 2.4 2.6 2.9 2.2 2.9 2.8 2.8 2.1 1.9 2.2

Hadoop and Big Data 2.4 2.6 2.9 2.6 2.6 1.8 2.8 2.7 2.1 2.4 1.8 1.6

8th

semester

Distributed systems 2.2 2.1 2.4 2.6 2.9 2.2 2.9 2.8 2.8 2.1 1.9 2.2Human Computer Interaction 2.4 2.6 2.9 2.6 2.6 1.8 2.8 2.7 2.1 2.4 1.8 1.6Cloud Computing 2.9 2.2 2.9 2.8 2.6 1.9 2.2 2.7 2.1 2.6 2.4 1.8Management Science 2.8 2.7 2.1 2.4 2.6 2.9 2.6 2.4 1.8 1.6 1.8 2.3

Action taken for all shortfall of target against each PO is reported in Criterion 7 in Item no. 7.1

(The attainment levels shall be set considering average performance levels in the universityexamination or any higher value set as target for the assessment years. Attainment level is to bemeasured in terms of student performance in internal assessments with respect to the CourseOutcomes of a course in addition to the performance in the University examination)



Measuring Course Outcomes attained through University Examinations

Target may be stated in terms of percentage of students getting more than the universityaverage marks or more as selected by the Program in the final examination. For cases where theuniversity does not provide useful indicators like average or median marks etc., the programmay choose an attainment level on its own with justification.Example related to attainment levels Vs. targets:(The examples indicated are for reference only. Program may appropriately define levels)

Attainment Level 1: 60% students scoring more than University average percentage marks or setattainment level in the final examination.



Attainment is measured in terms of actual percentage of students getting set percentageof marks.

If targets are achieved then all the course outcomes are attained for that year. Program isexpected to set higher targets for the following years as a part of continuousimprovement.

If targets are not achieved the program should put in place an action plan to attain thetarget in subsequent years.

Measuring CO attainment through Internal Assessments:(The examples indicated are for reference only. Program may appropriately define levels) Target maybe stated in terms of percentage of students getting more than class average marks or set by theprogram in each of the associated COs in the assessment instruments (midterm tests, assignments,mini projects, reports and presentations etc. as mapped with the COs) Example Mid-term test 1addresses C202.1 and C202.2. Out of the maximum 20 marks for this test 12 marks are associated withC202.1 and 8 marks are associated with C202.2. Examples related to attainment levels Vs. targets:

Attainment Level 1: 60% students scoring more than 60% marks out of the relevant maximum marks.13

Attainment Level 2: 70% students scoring more than 60% marks out of the relevant maximum marks.

Attainment Level 3: 80% students scoring more than 60% marks out of the relevant maximum marks.

Attainment is measured in terms of actual percentage of students getting set percentageof marks.

If targets are achieved then the C202.1 and C202.2 are attained for that year. Program isexpected to set higher targets for the following years as a part of continuousimprovement.

If targets are not achieved the program should put in place an action plan to attain thetarget in subsequent years.



Similar targets and achievement are to be stated for the other midterm tests/internal assessmentinstruments Course Outcome Attainment: For example: Attainment through University Examination:Substantial i.e. 3 Attainment through Internal Assessment: Moderate i.e. 2 Assuming 80% weightage toUniversity examination and 20% weightage to Internal assessment, the attainment calculations will be(80% of University level) + (20% of Internal level ) i.e. 80% of 3 + 20% of 2 = 2.4 + 0.4 = 2.8 Note:Weightage of 80% to University exams is only an example. Programs may decide weightagesappropriately for University exams and internal assessment with due justification.

3.3. Attainment of Program Outcomes and Program Specific Outcomes (50)

3.3.1. Describe assessment tools and processes used for measuring the attainment of each of the

Program Outcomes and Program Specific Outcomes (10)

In Outcome based Education, assessment done through one or more than one processes, carried out by

the institution, that identify, collect, and prepare data to evaluate the achievement of program me

educational objectives, program outcomes and course objectives and outcomes.

PO Assessment Tools: Assessment tools are categorized into direct and indirect methods to assess the

program me educational objectives, program outcomes and course outcomes.

Direct methods display the students’ knowledge and skills from their performance in the continuous

assessment tests, end–semester examinations, presentations, and classroom assignments etc. these

methods provide a sampling of what students know and/or can do and provide strong evidence of

student learning.

Indirect methods such as surveys and interviews ask the stakeholders to reflect on student’s learning.

They assess opinions or thoughts about the graduate’s knowledge or skills and their valued by

different stakeholders.

Direct Assessment methods are formative as well as summative.

For some of the POs that are abstract, rubrics has been designed using performance indicators and

shared with the students in advance. This helps students understand against which parameter their

work will be judged with the “scoring rules”. These rubrics can be used by students in, revising, and

judging their own work and progress.

Assignment / Quiz / Class Test

The assignment, Quiz and class test are a qualitative performance assessment tool designed to assess

students’ knowledge of engineering practices, framework, and problem solving. An analytic rubric

was developed to assess students’ knowledge with respect to the learning outcomes associated with the

scenario tool.

Group discussion/ Brainstorming

This is designed to assess student’s analytical capacity along with the capability to communicate with



others.

Midterm exams

End semester exam (theory + practical) Midterm and semester End examination are metric for

assessing whether all the POs are attained or not. Examination is more focused on attainment of course

outcomes and program outcomes.

Lab practical

This is mainly to assess student’s practical knowledge with their designing capabilities.

Course Evaluation

At the end of every semester, students give feedback for the course taught to them. In this feedback

survey students tell how effective course was in order to achieve POs.

Indirect Assessment methods

Programme outcomes / Assessment Report:

At the end of every academic year annual report is developed where the statistics of students who have

participated in professional bodies/ student chapters /workshops/seminars /conferences/paper

presentations / internships /industry visit etc,. is prepared. This statement is considered to indirectly

assess the PO's

Alumni Survey

Collect variety of information about program satisfaction, from Graduates end after every 2 years

Employer Survey

Provide information about our graduate's skills and capability. – After every 2 yearsStudent exit survey:

To evaluate the success of program me in providing students with opportunities to achieve the program

me outcomes- every year, Since an outcome can be achieved in more than one course, while assessing

a specific outcome, number of courses are assessed and both core and electives course are assessed.

Use of Rubrics for Evaluation and Assessment of POs

The Course/Programme outcomes are difficult to measure such as assessing critical thinking,

creativity, analytical skills, and problem solving etc. Hence the department has adopted Criterion

Referenced Rubrics to assess the POs and COs wherever appropriate. The Rubric criteria are either

developed by department faculty or sometimes even with consultation with students and distributed

before an assignment, project or test. Rubrics are used for both formative and summative assessment

of students. Same rubric is used for assessing an outcome so that the faculty is able to assess student

progress and maintain the record of the same for each student. The rubrics are shared with students

before being evaluated so that they are aware of the performance criteria and their weightage.

Program Outcome assessment process

For each outcome the Academic Cooperation Programme (ACP) along with program and course



coordinators define performance indicators (Assessment criteria) and their targets. Each performance

indicator is aligned to the courses and targets set for each performance indicator. The faculty members

then keep the POs in front of them develop COs (4-5 for each course) and then break each of their unit

outcome into elements of Blooms Taxonomy and define set of attributes for each outcome. These are

used for planning lectures, assignments, tests, projects etc. while developing their course files. Each

outcome is assessed in several courses to ensure that students acquire an appropriate level in terms of

knowledge/skills of an outcome. The course coordinators collect the qualitative and quantitative data

and use these for outcome assessment in a continual process. Each faculty pre-sets out targets for

assessment of course outcomes and prepares analysis of their course outcome based on student

performance, their own assessment and student feedback and present the same to the ACP along with

his/her suggestion for improvement. The course assessment is done at both formative and summative

levels.

The Program ACP studies the course analysis report of each faculty and decides course of assessed

and planned schedule for their assessment and submits the same to the Instructional Advisory

Committee on Computing (IACC) for initiating action of sending out survey instruments to relevant

alumni, employers and other external stakeholders.

The IACC initiates action of indirect assessment of POs based on the pre-defined and agreed schedule

with each ACP. The ACP analyzes the collected data. If the assessment meets the performance targets

the outcome is attained. Otherwise, corrective actions are initiated and results presented to the IACC

which then presents the same to Academic Advisory Board and seeks their suggestions and approval

for corrective action. The Department Advisory Board recommends content delivery methods/course

outcomes/ curriculum improvements as needed. Schedule of Assessment of POs: The department

plans to complete the exercise of assessing POs in a 6 year cycle given below

Data Collection Cycle for POs (2014-2018)

PO2014 2015 2016 2017 2018

Even odd Even odd Even odd Even odd Even odd

1. Engineering knowledge: Apply theknowledge of mathematics, science,Computer Science engineering fundamentals,and an engineering specialization to thesolution of complex engineering problems

X X X

2. Problem analysis: Identify, formulate,review research literature, and analyzecomplex engineering problems reachingsubstantiated conclusions using firstprinciples of mathematics, natural sciences,and Computer Science engineering sciences.

X X X



3. Design/development of solutions:Design solutions for complex ComputerScience engineering problems and designsystem components or processes that meetthe specified needs with appropriateconsideration for the public health andsafety, and the cultural, societal, andenvironmental considerations.

X

4. Conduct investigations of complexproblems: Use research-based knowledgeand research methods including design ofexperiments, analysis and interpretation ofdata, and synthesis of the information toprovide valid conclusions in the field ofComputer Science engineering.

X X

5. Modern tool usage: Create, select, andapply appropriate techniques, resources, andmodern engineering and IT tools includingprediction and modeling to complexComputer Science engineering activitieswith an understanding of the limitations.

X X

6. The Engineer and society Applyreasoning informed by the contextualknowledge to assess societal, health, safety,legal and cultural issues and the consequentresponsibilities relevant to the professionalComputer Science engineering practice.

X X X

7. Environment and sustainability:Understand the impact of the ComputerScience engineering solutions in societaland environmental contexts, anddemonstrate the knowledge of and need forsustainable development.

X X

8. Ethics: Apply ethical principles and committo professional ethics and responsibilitiesand norms of the engineering practice

X X

9. Individual & Team Work: Functioneffectively as an individual, and as amember or leader in diverse teams, and inmulti-disciplinary settings.

X X

10. Communication: Communicateeffectively on complex Computer Scienceengineering activities with the engineeringcommunity and with society at large, suchas, being able to comprehend and writeeffective reports and design documentation,make effective presentations, and give andreceive clear instructions.

X X X



11. Project Management &Finance:Demonstrate knowledge and understandingof the Computer Science engineering andmanagement principles and apply these toone’s own work, as a member and leader ina team, to manage projects and inmultidisciplinary environments.

X X X

12. Life Long Learning: Recognize the needfor, and have the preparation and ability toengage in independent and life- longlearning in the broadest context oftechnological change.

X X

Although the data will be collected every 3 years on select POs, as indicated above, there will be

activity taking place on each outcome every year

Activity for Each PO 2014 2015 2016 2017 2018Review of performance indicators that definethe outcome

x x

Review educational strategies related toperformance indicators

x

Review mapping and identify where data willbe collected

x

Develop and/or review assessment methods tobe used to assess performance indicators

x

Collect Data xEvaluate assessment data including processes xReport findings xTake action where necessary x

Assessment of POs and PSOs – Methodology

Assessment ToolAssessmentFrequency

AssessmentResponsibility Reviewed by

End of the course survey Semester end Faculty Coordinator IQACStudent performance inuniversity examinations

Semester end Faculty Coordinator IQAC

Rubrics (PO specific) As per need As Per Need IQACFaculty evaluation reports Semester end HOD IQACDepartment performance report Annually HOD IQACExiting student survey Annually Faculty Coordinator IQACAlumni survey Annually Faculty Coordinator IQACEmployer survey 1-2 year Faculty Coordinator IQAC

CO Assessment Methodology and Tools

Assessment toolAssessmentfrequency

Who will do itWho will Review

it.End of course survey Semester End Faculty AC(P)Student Feedback & Comments Semester End Exam Cell IQAC



Rubrics (PO Specific) As per need Faculty AC(P)Faculty Evaluation reports Semester End Faculty AC(P) & PIACInternal assessment and Homeassignments

Every 2 months Faculty AC(P)

Semester end performance report End of semester Faculty AC(P)Course Performance history plots As per need Faculty HODEnd of the semester Examinations End of semester Faculty AC(P)Group Tasks As per need Faculty HODProjects As per need Faculty AC(P)Assignments As per need Faculty HODFaculty assessment As per need HOD Director/HOD

Department performance report AnnuallyAC(P) to presentto IACC

IACC/ AcademicAdvisory Board

3.3.2. Provide results of evaluation of each PO & PSO (40)

Program shall set Program Outcome attainment levels for all POs& PSOs.

(The attainment levels by direct (student performance) and indirect (surveys) are to be presented

through Program level Course– PO& PSO matrix as indicated).

FACULTY : M VENKAT RAO

SUBJECT: DIGITAL LOGIC DESIGN Above average :3SUBJECT CODE : Average :2CO Attainment : Below Average:1Direct Internal Assessment (20%) Direct External Assessment (80%)

Cos A100%IA

B60%OFA

C 2OFB

D100%EA

E = 3OF D

F= C+E

CO-1 1.0 0.61 1.22 0.35 1.03 2.25CO-2 1.0 0.92 1.84 0.35 1.03 2.87CO-3 1.0 0.94 1.88 0.35 1.03 2.91CO-4 1.0 0.93 1.86 0.35 1.03 2.89

CO – PO MAPPINGPO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 P10 P11 P12

CO1 3 2 1 2 3 2 - - - - 2 -

CO2 3 2 1 2 1 - - - - - - 2

CO3 - - - 3 2 2 - - - 3 - 3

CO4 - 2 3 1 - - - - - 2 - 2

PO Attainment

Outcome PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12

CO1 1.87 2.59 1.78 2.39 2.39 0.00 0 0 0 0 0 2.59

CO2 2.86 2.86 2.86 2.86 2.86 2.86 0 0 0 0 0 2.86

CO3 2.85 2.85 2.85 2.85 2.85 2.78 0 0 0 0 0 2.85

CO4 1.56 1.56 1.56 1.9 1.9 2.5 0 0 0 0 0 2.90



PO Attainment Level

Course PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12

COAttainment

1.77 2.49 1.77 2.51 2.56 2.04 0 0 0 0 0 2.75

DirectAttainment

1.82 2.46 1.82 2.50 2.50 2.04 0 0 0 0 0 2.80

IndirectAttainment

1.59 2.59 1.56 2.56 2.8 2.04 0 0 0 0 0 2.56

PSO Attainment

Course PSO1 PSO2 PSO3

CO1 2.86 2.67 1.87

PSO Attainment Level

Course PSO1 PSO2 PSO3

Direct Attainment 2.86 2.67 1.87

In Direct Attainment 2.89 2.67 1.67

CO Attainment 2.87 2.67 1.83



CRITERION 4 Students’ Performance 150

4. STUDENTS’ PERFORMANCE (150)

Table 4.1Item (Information to be providedcumulatively for all the shifts with explicitheadings, wherever applicable)

2017-2018

2016-2017

2015-2016

2014-2015

2013-2014

2012-2013

Sanctioned intake of the program(N) 120 120 120 120 120 120

Total number of students admitted in first yearminus number of students migrated to otherprograms/ institutions plus No. of studentsmigrated to this program (N1)

118 112 119 104 80 77

Number of students admitted in 2nd year inthe same batch via lateral entry (N2)

0 0 0 2 0 4

Separate division students, If applicable (N3) 0 0 0 0 0 0

Total number of students admitted in theprogramme(N1 + N2 + N3)

118 112 119 106 80 81

Table4.2

Year of entry

Total No ofstudents admittedin the program(N1

+ N2 + N3)

Number of students who have successfullygraduated without backlogs in any semester /

year of study (Without Backlog means nocompartment or failures in any semester/year

of study)

I year II year III year IV year

2017-2018 118 0 0 0 02016-2017 112 38 38 0 02015-2016 119 42 42 0 02014-2015(LYG) 106 49 28 26 02013-2014(LYGm1) 80 50 41 35 352012-2013 (LYGm2) 81 42 65 43 63

Table4.3

Year of entry

Total No of studentsadmitted in the

program(N1 + N2 +N3)

Number of students who have successfullygraduated

I year II year III year IV year

2016-2017 112 38 0 0 02015-2016 119 72 72 0 02014-2015 106 69 48 48 02013-2014(LYG) 80 60 55 46 522012-2013 (LYGm1) 81 72 73 53 722011-2012 (LYGm2) 109 91 70 74 96



4.1. Enrolment Ratio (20)

Enrolment Ratio=N1/N

N (FromTable4.1) N1 (FromTable4.1)Enrollment

Ratio[(N1/N)*100]

2017-2018 120 118 98.33

2016-2017 120 112 93.33

2015-2016 120 119 99.17

Average [ (ER1 + ER2 + ER3) / 3 ] : 96.94% Assessment :20.00

4.2. Success Rate in the stipulated period of the program (40)

4.2.1. Success rate without backlogs in any semester/year of study (25)

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 = 25 × Average SI

Item

Latest Year ofGraduation,

LYG

(2016-2017)


LYG

(2015-2016)


LYGm1

(2014-2015)

Latest Year ofGraduation

minus1,LYGm2

(2013-2014)

X Number of students admitted in thecorresponding First year + admitted in 2ndyear via lateral entry and separateddivision, if applicable

80.00 76.00 94.00 60.00

Y Number of students who have graduatedwithout backlogs in the stipulated period

32.00 28.00 18.00 18.00

Success Index [ SI = Y / X ] 0.4 0.37 0.19 0.30

Average SI [ (SI1 + SI2 + SI3) / 3 ] :0.32

Assessment [25 * Average SI] : 8.00

4.2.2.Success rate with backlog in stipulated period of study (15)

SI=(Number of students who graduated from the program in the stipulated period of course

duration)/(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 = 15 ×Average SI



Item


LYG

(2016-2017)


LYG

(2015-2016)


LYGm1

(2014-2015)

Latest Year ofGraduation

minus1, LYGm2(2013-2014)

X Number of students admitted in thecorresponding First year + admitted in2nd year via lateral entry andseparated division, if applicable

80.00 76.00 94.00 60.00

Y Number of students who havegraduated in the stipulated period

64.00 60.00 71.00 44.00

Success Index [ SI = Y / X ] 0.80 0.79 0.75 0.73

Average SI[ ( SI1 + SI2 + SI3) / 3 ]: 0.78Assessment [15 * Average SI] : 11.70

4.3. Academic Performance in Third Year (15)Academic Performance =1.5 * Average API (Academic Performance Index)

API = ((Mean of 3rdYear Grade Point Average of all successful Students on a 10 point scale) or

(Mean of the percentage of marks of all successful students in Third Year/10))x(number of successful

students/ number of students appeared in the examination) Successful students are those who are

permitted to proceed to the final year.

Academic Performance 2016-2017 2015-2016 2014-2015

Mean of CGPA or mean percentage of allsuccessful students(X)

6.90 7.10 7.17

Total number of successful students(Y) 43.00 57.00 43.00

Total number of students appeared in theexamination(Z)

102 76.00 79.00

API = X * (Y/Z) 2.89 5.32 3.87

Average API [ (AP1 + AP2 + AP3)/3 ] : 4.02Assessment [1.5 * Average API] : 6.03

4.4. Academic Performance in Second Year (15)

Academic Performance Level =1.5 * Average API (Academic Performance Index)

API=((Mean of 2nd Year Grade Point Average of all successful Students on a 10 point scale) or

(Mean of the percentage of marks of all successful students in Second Year/10))x(number of



successful students /number of students appeared in the examination) Successful students are those

who are permitted to proceed to the Third year.



7.65 7.13 7.39

Total number of successful students (Y) 57.00 30.00 43.00

Total number of students appeared in theexamination (Z)

116.00 106.00 77.00

API [ X * (Y/Z) ] 3.74 1.99 4.06

Average API [(AP1 + AP2 + AP3)/3]: 3.26Assessment [1.5 * Average API]: 4.89

4.5. Placement, Higher Studies and Entrepreneurship (40)

Assessment Points=40 × average placement

Item/Admitted year 2014-2015 2013-2014 2012-2013

Total No of Final Year Students(N) 58.00 53.00 74.00

No of students placed in the companies orgovernment sector(X)

43.00 45.00 55.00

No of students admitted to higher studies with validqualifying scores (GATE or equivalent State or

National Level tests, GRE, GMAT etc.) (Y)4.00 3.00 13.00

No of students turned entrepreneur inengineering/technology (Z)

1.00 1.00 2.00

x + y + z = 49 50.00 70.00

Placement Index [ (X+Y+Z)/N ] : 0.84 0.94 0.95

Average Placement [(P1 + P2 + P3)/3]: 0.91Assessment [40 * Average Placement]:36.40

4.6. Professional Activities (20)

4.6.1. Professional societies/chapters and organizing engineering events (5)

S.No. Name of the Event Organized under Date(s)No. of

Participants

1 Advanced java technologies IEI Student Chapter 06/08/2011 60

2 Microsoft programs IEI Student Chapter 20/06/2012 80

3Software projects and careeropportunities in industry IEI Student Chapter 20/07/2012 70

4 Computer networks IEI Student Chapter 04/08/2012 80

5Guest Lecture on “Aptitude &Reasoning

IEI Student Chapter 06/08/2013 60

6 Storage area networks IEI Student Chapter 21/12/2015 80



7 Guest Lecture on Network Simulator-2 IEI Student Chapter 03/09/2016 80

8 Guest lecture on Java technologies IEI Student Chapter 29/07/2017 80

9 Guest Lecture on Computer Virus IEI Student Chapter 30/11/2017 200

10 Guest Lecture on Ethical Hacking IEI Student Chapter 22/12/2017 180

4.6.2. Publication of technical magazines, newsletters, etc. (5)

(The Department shall list the publications mentioned earlier along with the names of the editors,

publishers, etc.)

S. No Publication PublicationName

Coordinator Convener Publisher Month &Year

1 News LetterASIST TECH

TALKK. SWAMI

HOD CSEDept

Association ofCSE Dept.,

Jan- Mar 2015


TALKK. SWAMI

HOD CSEDept


Apr-Jun 2015


TALKK. SWAMI

HOD CSEDept


Jul - Sep 2015


TALKK. SWAMI

HOD CSEDept


Oct-Dec 2015


TALKK. SWAMI

HOD CSEDept


Jan- Mar 2016


TALKK. SWAMI

HOD CSEDept


Apr- Jun 2016


TALKK. SWAMI

HOD CSEDept


Jul- Sep 2016


TALKK. SWAMI

HOD CSEDept


Oct- Dec 2016


TALKK. SWAMI

HOD CSEDept


Jan- Mar 2017


TALKK. SWAMI

HOD CSEDept


Apr- Jun 2017


TALKK. SWAMI

HOD CSEDept


Jul- Sep 2017


TALKK. SWAMI

HOD CSEDept


Oct- Dec 2017



13 News Letter SRUJANA K. SWAMIINSTITUTION LEVELCOMMITT

EE

INSTITUTION LEVEL

Apr-Jun 2016


EE

INSTITUTION LEVEL

Jul - Sep 2016


EE

INSTITUTION LEVEL

Oct-Dec 2016


EE

INSTITUTION LEVEL

Jan-Mar 2017

4.6.3. Participation in inter-institute events by students of the program of study(10)

(The Department shall provide at able indicating those publications, which received awards in the

events/ conferences organized by other institutes.)

S.No Name of theStudent

Event Name Organization Date of theEvent

Remarks

1 N DharaniBrainExpeditions

Lakshya – 2K17LBRCE

15th Nov 2017 First Prize

2 M Hemanth Sai Techno Trix Dhanush 2K16,DIET

27th,28th Jan2017

ThirdPrize

3 K V Bhargava ScintillaYouth Fest2K17, RVR&JC

17th Feb 2017SecondPrize

4 K V BhargavaProjectExhibition

Sunrise 2K17,NRIIT

18th, 19th Feb2017

First Prize

5 Ch. V Gopinath Solo dance Your Fest,URCE

19th, 20th Feb2016

First Prize

6 Ch. V Gopinath Solo dance Samyak-KLU-2016

25th, 26th Feb2016

SecondPrize

7 M Sai Kiran Techno Trix Dhanush 2K16,DIET

26th, 27th Feb2016

SecondPrize

8B. N V VishnuPriya

Project Expo APEX 2K16 15th Spet 2016SecondPrize

9 T Srikanth Nipuna Lakshya – 2K16LBRCE

1st Oct, 2016 First Prize



CRITERION-5 Faculty Information and Contributions 200

5. FACULTY INFORMATION AND CONTRIBUTIONS (200)

2015-2016N

ame

of th

e F

acul

ty M

embe

r

Qualification

Cur

rent

Des

igna

tion

All

the

Des

igna

tion

s si

nce

join

ing

the

Inst

itut

ion

Dat

e of

join

ing

the

Ins

titu

tion

Distribution ofteaching load (%)

Academic

Research

Spo

nsor

ed R

esea

rch

(F

unde

d R

esea

rch)

Con

sult

ancy

and

Pro

duct

Dev

elop

men

t

Spe

cial

izat

ion

Deg

ree

(sta

rtin

g of

fro

mhi

ghes

t deg

ree)

Uni

vers

ity

Yea

r of

Gra

duat

ion

1st Y

ear

UG

PG

Fac

ulty

rec

eivi

ng P

h.D

dur

ing

the

asse

ssm

ent y

ear

Ph.

D G

uida

nce

Res

earc

h P

aper

Pub

lica

tion

s

Ser

ving

100

% in

pro

gram

me

Fro

m o

ther

pro

gram

me

to th

is p

rogr

amm

e

Fro

m th

is p

rogr

amm

e to

oth

er p

rogr

amm

e

MVijay

Kumar

M.Tech

JNTUK

2012

Assoc

Prof.

Asst.Prof

03/06/2013

0 80 0 080

No

015

0 0 No

PRamesh

Babu

M.Tech

ANU

2008

Assoc

Prof.

Asst.Prof

10/06/2009

100

0 0 0 0No

016

0 0Networkin

g

ChSrinivasa Rao

M.Tech

JNTUK

2013

Assoc

Prof.

Asst.Prof

03/06/2013

0100

0 0 0No

014

0 0 No

MSivanjaneyulu

M.Tech

JNTUK

2009

Assoc

Prof.

Programmer

01/06/2012

0100

0 0 0No

0 7 0 0 No

KMrudal

a

M.Tech

JNTUK

2012

Asst.

Prof

Asst.Prof

01/06/2012

0100

0 0 0No

0 5 0 0 No

LSrinivasa Rao

M.Tech

OU2008

Asst.

Prof

Asst.Prof

01/08/2014

0100

0 0 0No

0 5 0 0 No

ASatish

M.Tec

JNTUH

2011

Asst.

Asst.Prof

02/06/

0100

0 0 0No

0 6 0 0 No



h Prof 2014

V P SVinayKumar

M.Tech

JNTUK

2012

Assoc.

Prof

Asst.Prof

02/06/2014

0100

0 0 0No

015

0 0 No

KSwami

M.Tech

JNTUH

2012

Asst.

Prof

Asst.Prof

09/06/2014

0100

0 0 0No

014

0 0 No

NVenkateswara

Rao

M.Tech

JNTUK

2012

Asst.

Prof

Programmer

02/06/2014

0 0 050

50

No

0 7 0 0 No

CChandr

aSekhar

M.Tech

JNTUH

2011

Asst.

Prof

Asst.Prof

01/08/2014

0100

0 0 0No

0 5 0 0 No

NSrikant

h

M.Tech

JNTUK

2013

Asst.

Prof

Asst.Prof

01/09/2014

0100

0 0 0No

0 6 0 0 No

Dr. DHaritha

Ph.D

ANU

2013

Professo

r

Professor

02/06/2014

0100

0 0 0Yes

011

0 0Networkin

g

PNarasimhaRao

M.Tech

JNTUK

2013

Asst.

Prof

Asst.Prof

02/06/2014

0100

0 0 0No

0 5 0 0 No

EMahesh

M.Tech

JNTUK

2013

Asst.

Prof

Asst.Prof

02/06/2014

0100

0 0 0No

0 1 0 0 No

PPavani

M.Tech

JNTUK

2014

Asst.

Prof

Asst.Prof

02/06/2014

0100

0 0 0No

0 1 0 0 No

Dr. YVamsid

har

Ph.D.

AU2013

Professo

r

Professor

10/06/2015

0100

0 0 0No

018

0 0 No

BSudheerKumar

M.Tech

JNTUK

2014

Asst.

Prof

Asst.Prof

10/06/2015

0100

0 0 0No

0 2 0 0 No

BMaheswari

M.Tech

JNTUK

2013

Asst.

Prof

Asst.Prof

02/06/2014

0100

0 0 0No

0 2 0 0 No

SdSaisen

M.Tec

JNTUK

2014

Asst.

Asst.Prof

02/06/

0100

0 0 0No

0 1 0 0 No



h Prof 2014

Dr. PChiranj

eevi

Ph.D

CMJU

2014

Assoc.

Prof

Asst.Prof

24/06/2008

0100

0 0 0Yes

012

0 0Clou

d

Dr. KNageswara Rao

Ph.D

GITAM

2012

Professo

r

Asst.Prof

02/06/2014

0100

0 0 0Yes

015

0 0DataMining

Dr. JChandr

aSekhar

Ph.D

ANU

2011

Professo

r

Professor

02/06/2014

0100

0 0 0Yes

015

0 0DataMining

G.BharathKumar

M.Tech

JNTUK

2014

Asst.

Prof

Asst.Prof

07/06/2014

0100

0 0 0No

0 2 0 0 No

KChandr

aBhusha

n

M.Tech

JNTUK

2010

Asst.

Prof

Asst.Prof

02/06/2011

0100

0 0 0No

0 6 0 0 No

K.Subhas

hChandr

a

M.Tech

JNTUK

2011

Asst.

Prof

Asst.Prof

02/06/2014

0100

0 0 0No

0 5 0 0 No

D SunilChakravarthy

M.Tech

JNTUK

2014

Asst.

Prof

Asst.Prof

10/06/2015

0100

0 0 0No

0 1 0 0 No

YPrasad

M.Tech

JNTUK

2014

Asst.

Prof

Asst.Prof

02/06/2014

0100

0 0 0No

0 1 0 0 No

MRajeshReddy

M.Tech

JNTUK

2011

Asst.

Prof

Asst.Prof

02/06/2011

0100

0 0 0No

0 3 0 0 No

BGangad

haraRao

M.Tech

JNTUK

2015

Asst.

Prof

Programmer

15/06/2009

0100

0 0 0No

0 1 0 0 No



2016-2017

Nam

e of

the

Fac

ulty

Mem

ber

Qualification

Cur

rent

Des

igna

tion

All

the

Des

igna

tion

s si

nce

join

ing

the

Inst

itut

ion

Dat

e of

join

ing

the

Ins

titu

tion


Academic

Research

Spo

nsor

ed R

esea

rch

(F

unde

d R

esea

rch)

Con

sult

ancy

and

Pro

duct

Dev

elop

men

t

Spe

cial

izat

ion

Deg

ree

(sta

rtin

g of

fro

mhi

ghes

t deg

ree)

Uni

vers

ity

Yea

r of

Gra

duat

ion

1st Y

ear

UG

PG

Fac

ulty

rec

eivi

ng P

h.D

dur

ing

the

asse

ssm

ent y

ear

Ph.

D G

uida

nce

Res

earc

h P

aper

Pub

lica

tion

s

Ser

ving

100

% in

pro

gram

me

Fro

m o

ther

pro

gram

me

to th

is p

rogr

amm

e

Fro

m th

is p

rogr

amm

e to

oth

er p

rogr

amm

eM VijayKumar

M.Tech

JNTUK

2012

Assoc

Prof.

Asst.Prof

03/06/2013

0 80 0 080

No

015

0 0 No

PRamesh

Babu

M.Tech

ANU

2008

Assoc

Prof.

Asst.Prof

10/06/2009

100

0 0 0 0No

016

0 0Networkin

g

ChSrinivasa Rao

M.Tech

JNTUK

2013

Assoc

Prof.

Asst.Prof

03/06/2013

0100

0 0 0No

014

0 0 No

MSivanjan

eyulu

M.Tech

JNTUK

2009

Assoc

Prof.

Programmer

01/06/2012

0100

0 0 0No

0 7 0 0 No

ADurgabh

avani

M.Tech

JNTUK

2008

Asst.

Prof

Asst.Prof

01/06/2016

0100

0 0 0No

0 9 0 0 No

P AnilKumar

M.Tech

JNTUK

2016

Asst.

Prof

Asst.Prof

20/06/2016

0100

0 0 0No

0 3 0 0 No

Ch MaryM.Tech

JNTUH

2016

Asst.

Prof

Asst.Prof

24/10/2016

0100

0 0 0No

0 1 0 0 No

V P SVinayKumar

M.Tech

JNTUK

2012

Assoc.

Prof

Asst.Prof

02/06/2014

0100

0 0 0No

015

0 0 No

K M. JNT 201 Ass Asst. 09/0 0 10 0 0 0 N 0 1 0 0 No



Swami Tech

UH 2 t.Prof

Prof 6/2014

0 o 4

NVenkateswaraRao

M.Tech

JNTUK

2012

Asst.

Prof

Programmer

02/06/2014

0 0 050

50

No

0 7 0 0 No

CChandraSekhar

M.Tech

JNTUH

2011

Asst.

Prof

Asst.Prof

01/08/2014

0100

0 0 0No

0 5 0 0 No

NSrikanth

M.Tech

JNTUK

2013

Asst.

Prof

Asst.Prof

01/09/2014

0100

0 0 0No

0 6 0 0 No

KArchana

M.Tech

ANU

2013

Professo

r

Professor

24/10/2016

0100

0 0 0Yes

0 6 0 0Networkin

gA

PoorneswaraRao

M.Tech

JNTUK

2016

Asst.

Prof

Programmer

04/07/2010

0100

0 0 0No

0 1 0 0 No

V KChakrav

arthy

M.Tech

JNTUK

2014

Asst.

Prof

Asst.Prof

03/06/2016

0100

0 0 0No

0 2 0 0 No

Dr. K SN Prasad

Ph.D.

SVU

2009

Professo

r

Professor

10/06/2016

0100

0 0 0No

022

0 0 No

BSudheerKumar

M.Tech

JNTUK

2014

Asst.

Prof

Asst.Prof

10/06/2015

0100

0 0 0No

0 2 0 0 No

BMahesw

ari

M.Tech

JNTUK

2013

Asst.

Prof

Asst.Prof

02/06/2014

0100

0 0 0No

0 2 0 0 No

ChSreevani

M.Tech

JNTUK

2012

Asst.

Prof

Asst.Prof

02/06/2016

0100

0 0 0No

0 4 0 0 No

Dr. PChiranje

evi

Ph.D

CMJU

2014

Assoc.

Prof

Asst.Prof

24/06/2008

0100

0 0 0Yes

012

0 0Clou

d

Dr. KNageswara Rao

Ph.D

GITAM

2012

Professo

r

Asst.Prof

02/06/2014

0100

0 0 0Yes

015

0 0DataMining

Dr. KSai

Manoj

Ph.D

CMJU

2014

Assoc.

Prof

Asst.Prof

02/06/2016

0100

0 0 0Yes

008

0 0Clou

d

KChandraBhushan

M.Tech

JNTUK

2010

Asst.

Prof

Asst.Prof

02/06/2011

0100

0 0 0No

0 6 0 0 No

K.SubhashChandra

M.Tech

JNTUK

2011

Asst.

Prof

Asst.Prof

02/06/2014

0100

0 0 0No

0 5 0 0 No

D SunilChakrav

arthy

M.Tech

JNTUK

2014

Asst.

Prof

Asst.Prof

10/06/2015

0100

0 0 0No

0 1 0 0 No



MRajeshReddy

M.Tech

JNTUK

2011

Asst.

Prof

Asst.Prof

02/06/2011

0100

0 0 0No

0 3 0 0 No

BGangadhara Rao

M.Tech

JNTUK

2015

Asst.

Prof

Programmer

15/06/2009

0100

0 0 0No

0 1 0 0 No

BDharma

Raju

M.Tech

JNTUK

2014

Asst.

Prof

Asst.Prof

25/06/2014

0 50 050

0No

0 6 0 0 No

Md. RafiM.Tech

JNTUK

2016

Asst.

Prof

Programmer

30/01/2010

0100

0 0 0No

0 1 0 0 No

2017-2018

Nam

e of

the

Fac

ulty

Mem

ber

Qualification

Cur

rent

Des

igna

tion

All

the

Des

igna

tion

s si

nce

join

ing

the

Inst

itut

ion

Dat

e of

join

ing

the

Ins

titu

tion


Academic

Research

Spo

nsor

ed R

esea

rch

(F

unde

d R

esea

rch)

Con

sult

ancy

and

Pro

duct

Dev

elop

men

t

Spe

cial

izat

ion

Deg

ree

(sta

rtin

g of

fro

m h

ighe

st d

egre

e)

Uni

vers

ity

Yea

r of

Gra

duat

ion

1st Y

ear

UG

PG

Fac

ulty

rec

eivi

ng P

h.D

dur

ing

the

asse

ssm

ent y

ear

Ph.

D G

uida

nce

Res

earc

h P

aper

Pub

lica

tion

s

Ser

ving

100

% in

pro

gram

me

Fro

m o

ther

pro

gram

me

to th

is p

rogr

amm

e

Fro

m th

is p

rogr

amm

e to

oth

er p

rogr

amm

e

M VijayKumar

M.Tech

JNTUK

2012

Assoc

Prof.

Asst.Prof

03/06/2013

0 80 0 080

No

015

0 0 No

P RameshBabu

M.Tech

ANU

2008

Assoc

Prof.

Asst.Prof

10/06/2009

100

0 0 0 0No

016

0 0Networkin

g

ChSrinivasa

Rao

M.Tech

JNTUK

2013

Assoc

Prof.

Asst.Prof

03/06/2013

0100

0 0 0No

014

0 0 No

MSivanjane

yulu

M.Tech

JNTUK

2009

Assoc

Prof

Programmer

01/06/2012

0100

0 0 0No

0 7 0 0 No

ADurgabha

M.Te

JNTUK

2008

Asst.

Asst.Prof

01/06/20

0100

0 0 0No

0 9 0 0 No



vani ch Prof 16

P AnilKumar

M.Tech

JNTUK

2016

Asst.

Prof

Asst.Prof

20/06/2016

0100

0 0 0No

0 3 0 0 No

Ch MaryM.Tech

JNTUH

2016

Asst.

Prof

Asst.Prof

24/10/2016

0100

0 0 0No

0 1 0 0 No

V P SVinayKumar

M.Tech

JNTUK

2012

Assoc.

Prof

Asst.Prof

02/06/2014

0100

0 0 0No

015

0 0 No

K SwamiM.Tech

JNTUH

2012

Asst.

Prof

Asst.Prof

09/06/2014

0100

0 0 0No

014

0 0 No

NVenkateswara Rao

M.Tech

JNTUK

2012

Asst.

Prof

Programmer

02/06/2014

0 0 050

50

No

0 7 0 0 No

KArchana

M.Tech

ANU

2013

Professo

r

Professor

24/10/2016

0100

0 0 0Yes

0 6 0 0Networkin

gA

Poorneswara Rao

M.Tech

JNTUK

2016

Asst.

Prof

Programmer

04/07/2010

0100

0 0 0No

0 1 0 0 No

V KChakrava

rthy

M.Tech

JNTUK

2014

Asst.

Prof

Asst.Prof

03/06/2016

0100

0 0 0No

0 2 0 0 No

BSudheerKumar

M.Tech

JNTUK

2014

Asst.

Prof

Asst.Prof

10/06/2015

0100

0 0 0No

0 2 0 0 No

ChSreevani

M.Tech

JNTUK

2012

Asst.

Prof

Asst.Prof

02/06/2016

0100

0 0 0No

0 4 0 0 No

Dr. PChiranjee

vi

Ph.D

CMJU

2014

Assoc.

Prof

Asst.Prof

24/06/2008

0100

0 0 0Yes

012

0 0Clou

d

Dr. KNageswar

a Rao

Ph.D

GITAM

2012

Professo

r

Asst.Prof

02/06/2014

0100

0 0 0Yes

015

0 0DataMining

Dr. K SaiManoj

Ph.D

CMJU

2014

Assoc.

Prof

Asst.Prof

02/06/2016

0100

0 0 0Yes

008

0 0Clou

d

BGangadhara Rao

M.Tech

JNTUK

2015

Asst.

Prof

Programmer

15/06/2009

0100

0 0 0No

0 1 0 0 No

K GopalaReddy

M.Tech

JNTUK

2016

Assoc.

Prof

Assoc.

Prof

03/11/2017

0100

0 0 0No

0 6 0 0 No

Sk.SalmaAsiya

Begum

M.Tech

JNTUK

2014

Asst.

Prof

Asst.Prof

27/11/2017

0 50 0 050

No

0 1 0 0 No

M.Swojanya

M.Te

JNTUK

2017

Asst.

Asst.Prof

27/11/20

100

0 0 0 0No

0 1 0 0 No



ch Prof 17Y.

PradeepKumar

M.Tech

JNTUK

2016

Asst.

Prof

Asst.Prof

27/11/2017

100

0 0 0 0No

0 1 0 0 No

Ch RamaKrishnaReddy

M.Tech

JNTUK

2010

Asst.

Prof

Asst.Prof

09-10-

2017

100

0 0 0 0No

0 0 0 0 No

P JayaKrishna

M.Tech

JNTUK

2015

Asst.

Prof

Asst.Prof

27/11/2017

100

0 0 0 0No

0 1 0 0 No

Sd. YasinM.Tech

JNTUH

2008

Assoc

Prof

Assoc

Prof

29/06/2017

100

0 0 0 0No

0 1 0 0 No

VMadhavi

M.Tech

JNTUH

2016

Asst.

Prof

Asst.Prof

12/06/2017

100

0 0 0 0No

0 1 0 0 No

VSrikanth

M.Tech

JNTUK

2012

Asst.

Prof

Asst.Prof

01/06/2015

100

0 0 0 0No

0 8 0 0 No

RSrinivas

M.Tech

JNTUK

2012

Asst.

Prof

Asst.Prof

10/07/2017

100

0 0 0 0No

0 6 0 0 No

PNarasimh

am

M.Tech

JNTUK

2012

Asst.

Prof

Asst.Prof

01/06/2015

100

0 0 0 0No

0 8 0 0 No

P VSivaramaKrishna

M.Tech

JNTUK

2014

Asst.

Prof

Asst.Prof

01/06/2016

100

0 0 0 0No

0 8 0 0 No

M NikhitaM.Tech

JNTUK

2014

Asst.

Prof

Asst.Prof

01/06/2015

100

0 0 0 0No

0 8 0 0 No

J PrabhuDas

M.Tech

JNTUK

2012

Asst.

Prof

Asst.Prof

01/06/2014

100

0 0 0 0No

0 8 0 0 No

L VijayVarma

M.Tech

JNTUK

2012

Asst.

Prof

Asst.Prof

01/08/2016

100

0 0 0 0No

0 8 0 0 No

5.1.Student-Faculty Ratio (SFR)(20)S:F ratio = N/F; N = No. of students = 3*X where x is (approved intake + 20% lateral entry intake +

separate division, if any) F = No. of faculty = (a+b–c) for every assessment year

a: Total number of full-time regular Faculty serving fully to 2nd, 3rd and 4th year of the this program

b: Total number of full-time equivalent regular Faculty(considering fractional load) serving this

program from other Program(s)

c: Total number of fulltime equivalent regular Faculty(considering fractional load )of this program

serving other program(s) Regular Faculty means:



Fulltime on roll with prescribed pay scale. An employee on contract for a period of more than two

years AND drawing consolidated salary more than applicable gross salary shall only be counted as a

regular employee.

Prescribed pay scales means pay scales notified by the AICTE/ Central Government and

implementation as prescribed by the State Government. In case State Government prescribes lesser

consolidated salary for a particular cadre then same will be considered as reference while counting

faculty as a regular faculty.

Marks to be given proportionally from a maximum of 20 to a minimum of 10 for average SFR

between 15:1 and 20:1, and zero for average SFR higher than 20:1.

Year X N (3*X) F [(a+b-c)/100] SFR(N/F)

2017-2018 144.00 432.00 34.00 12.70

2016-2017 144.00 432.00 24.70 17.49

2015-2016 144.00 432.00 24.70 17.49

Average SFR for three assessment years: 16.17

Assessment SFR: 18.00

5.2. Faculty Cadre Proportion (25)

YearProfessors

Required F1 Available

Associate Professors


Assistant Professors


2017-2018 3.20 3.00 6.40 8.00 19.20 23.00

2016-2017 3.20 5.00 6.40 5.00 19.20 19.00

2015-2016 3.20 5.00 6.40 5.00 19.20 22.00

AverageNumbers

3.20 6.00 6.40 5.67 19.20 20.33

If AF1 = AF2=0 then zero marks

Maximum marks to be limited if it exceeds 25

Example: Student No. =180; Required number of Faculty: 12; RF1=1, RF2=2and RF3=9

Case1:AF1/RF1=1; AF2/RF2=1; AF3/RF3=1; Cadre proportion marks= (1+0.6+0.4) x12.5 = 25

Case 2: AF1/RF1= 1; AF2/RF2 = 3/2; AF3/RF3 = 8/9; Cadre proportion marks = (1+0.9+0.3) x12.5

=limited to 5

Case3:AF1/RF1=0; AF2/RF2=1/2; AF3/RF3=11/9; Cadre proportion marks= (0+0.3+0.49) x12.5

=9.87



5.3.Faculty Qualification (25)

FQ=2.5x[(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 1:15 Faculty Student ratio (no. of

faculty and no. of students required are to be calculated as per 5.1)

X Y F FQ = 2.5 x [(10X + 6Y) / F )]

2017-2018 3 31 26.40 20.45

2016-2017 4 25 26.40 18

2015-2016 4 24 26.40 17.42

5.4.Faculty Retention (25)

No. of regular faculty members in CAYm2= CAYm1= CAY=Description 2015-2016 2016-2017 2017-2018

No of Faculty Retained 13 18 25

Total No Of Faculty 28 29 34

% of Faculty Retained 46.42 62.06 73.52

5.5.Innovations by the Faculty in Teaching and Learning (20)

Content Based Question Making Students are made to develop Questions Based on the topic and

then taught accordingly how to answer the questions

Video Based Student Enhancement Application videos of the topics are showed, based on which

students get a real life exposure of the scenario where the concepts they have learned is applied

Simulated Software Based Learning Topics are simulated using software tools by which the

students can directly relate to the topics being taught

e-based Link Exposure The links are provided for the students where they can do self study or go

for in depth knowledge of any topics

Animated Method of Learning Concepts hard to visualize are taught using Animations

Role Playing For easy understanding the students are made into various formations like block

diagrams or components etc

Brainstorming The students are made to discuss the topics before starting and the lectures are based

on the discussions made

Innovations by the Faculty in teaching and learning shall be summarized as per the following

description. Contributions to teaching and learning are activities that contribute to the improvement of

student learning. These activities may include innovations not limited to, use of ICT, instruction



delivery, instructional methods, assessment, evaluation and inclusive class rooms that lead to effective,

efficient and engaging instruction. Any contributions to teaching and learning should satisfy the

following criteria:

o The work must be made available on Institute website

o The work must be available for peer review and critique

o The work must be reproducible and developed further by other scholars

The department/institution may setup appropriate processes for making the contributions available to

the public, getting them reviewed and for rewarding. These may typically include statement of clear

goals, adequate preparation, use of appropriate methods, and significance of results, effective

presentation and reflective critique

5.6.Faculty as participants in Faculty development/ training activities/STTPs (15)

A Faculty scores maximum five points for participation

Participation in 2 to 5 days Faculty development program:3 Points

Name of the FacultyMax 5 per Faculty

2017-2018 2016-2017 2015-2016M Vijay Kumar 3.00 4.00 3.00

Ch Srinivasa Rao 3.00 3.00 3.00

P Ramesh Babu 3.00 4.00 3.00

K Swami 5.00 3.00 5.00

M Sivanjaneyulu 4.00 3.00 3.00

V P S Vinay Kumar 4.00 3.00 3.00

K Gopala Reddy 4.00 4.00 3.00

Dr. P Chiranjeevi 4.00 4.00 3.00

Dr. K Sai Manoj 4.00 4.00 4.00

M Rajesh Reddy 5.00 5.00 4.00

N Venkateswara Rao 4.00 4.00 3.00

B Dharma Raju 4.00 4.00 4.00

Ch Sree Vani 5.00 5.00 5.00

D Sunil Chakravarthy 5.00 5.00 5.00

Sum 57.00 55.00 51.00RF = Number of Faculty required to complywith 15:1 Student Faculty Ratio as per 5.1

29.00 24.70 24.70

Assessment [3*(Sum / 0.5RF)] 11.79 13.36 12.38

Average assessment over 3 years: 12.51

5.7. Research and Development (30)

5.7.1.Academic Research (10)



Academic research includes research paper publications, Ph.D. guidance, and faculty receiving Ph.D.

during the assessment period.

Number of quality publications in refereed/ SCI Journals, citations, Books/Book Chapters etc.(6)

Ph.D. guided /Ph.D. awarded during the assessment period while working in the institute (4)

All relevant details shall be mentioned.

PUBLICATION TOTAL NOIJIET 5IJCMI 6

IJAASE 1IJDCST 4IJRCSC 1IJASEM 8

IJER 2IJCSM 2

S.No Name of the faculty Paper titleName of the journal

Page number

1

Dr. Sai Manoj Kudaravalli,Dr. Chiranjeevi Paritala

A Dynamic Framework ofAdvanced Mobile VideoStreaming and Social videosharing in clouds

International Journal of EngineeringResearch Online. Vol.5.,Issue.5,2017,sept-oct, ISSN:23217758.With an ImpactFactor 5.8701

2 Dr. Sai Manoj Kudaravalli,Dr. Chiranjeevi Paritala

Faster content sharing oversmart phone based Delay-tolerant networks

International Journal of EngineeringResearch- Online. Vol.5, Issue.4,2017,ISSN: 2321-7758. July-Aug


An Efficient and NovelApproach Using T.H.E.SMethodology for CBIR

International journal of computer scienceMechatronics. SJIF-4.454|Vol.3.Issue.5.2017. ISSN: 2455-1910


SOA Based CAM Cloud-Assisted Privacy PreservingMobile Health Monitoring

International journal of computer scienceMechatronics. SJIF-4.454|Vol.3.Issue.6.2017. ISSN: 2455-1910

5 M. Vijay Kumar,K. Gopala Reddy

An appraisal in Internet ofThings for Smart Cities

International Journal of ComputationalAnd Mathematical Ideas [IJCMI] ISSN:0974-8652 Volume-16 Issue: 1 sep: 2017,54527- 54538

6 P Venkata Srinivasa ChariM.Sivanjaneyulu

Control of Photo Sharing onOnline Social Networks

International Journal of ComputationalMathematical Ideas, ISSN:0974-8652

7 Deepthi MallelliCh.Srinivasa rao

Audit-Free Cloud Storage viaDeniable Attribute-basedEncryption


8 Ramala venkata PrasadK.Swami

Continuous and TransparentUser identity verification forSecure internet services


9 Kedem NeelaveniA.Durga Bhavani

Privacy Policy inference of userUploaded images on contentsharing sites


10 Machavarapu VineelaMallarapu Vijay Kumar

Privacy-Preserving and TruthfulDetection of packets DroppingAttacks in wireless Ad HocNetworks




11 Rajesh Kumar CHSoumen Kumar RoyP.Ramesh Babu

A Framework for cloud serviceProvider selection using MCDMTechniques

International Journal of Advances In Arts,Sciences and Engineering, Vol 4,Issue 9

12 Aluri S N M SwethaDr. B.Veramallu

Discovery of Ranking Fraud ForMobile Apps

IJDCST@DEC,-2016, ISSUE-V-4,I-8,SW-04, ISSN:2320-7884(ON)ISSN:2321-0257(print)

13 Gurram PrameelaP.Ramesh babu

Malware Propagation in Large-Scale Networks


14 Edukondalu MorlaV.P.S.Vinay kumar

Secure Auditing and Deduplicating Data in Cloud


15 Pulagam SahithyM.Nikitha

Secure Distributed Deduplication systems


16 M.Vijay kumarCh.SrinivasaRao

Public Auditing With Privacyfor Secure Public Cloud Storage

National Conference on “Recent TrendsIn Advanced Computing”NCRTIAC2K16, ISSN:2321-5585(ON)ISSN:2321-0338(print)

17 K.SushmaY.Vamsidhar

A Distributed Three-hopRouting Protocol to increase thecapacity of Hybrid wirelessnetworks

International Journal of Applied Sciences,Engineering and ManagementISSN:2320-3439, VOL 04,No. 03

18 P.RameshM.Siva anjaneyulu

Security Evaluation of PatternClassifiers under Attack


19 Swami KonakanchiV.P.S.Vinay kumarChanda.SrinivasaRao

Parallel Mining of Frequent Itemsets Based on Map ReduceApproach

International Journal of MechanicalEngineering and Computer ApplicationsISSN:2320-6349

20 P.Ramya LathaP.Ramesh babu

Detecting Malicious Face bookApplications


21 Aswani NalamP.Ramesh babu

Privacy using Adaptive PrivacyPolicy Prediction(A3P)for useruploaded images on contentsharing sites


22 Kommineni MadhaviM.Vijay kumar

Cloud Armor : A Trustysupporting reputation-basedmanagement for cloud services


23 M.Vijay kumarM.V.N.S.D Kiran

A Computational dynamic trustmodel for user authorization


24 U TejaswiV.P.S.Vinay kumar

Identity-based Encryption withOutsourced Revocation in CloudComputing


25 G.SankarCh.SrinivasaRao

Towards Effective Bug Triagewith software DAT reductionTechniques


26 Sivaji YerraguntlaBorugadda Nagaraju

CONTEXT-BASEDDIVERSIFICATION FORKEYWORD QUERIES OVERXML DATA


27 Pavani potunuriBhartha kumar GowruVenkateswara Rao Nadakuditi

Vampire Attacks:Drainng lifefrom wireless Adhoc SensorNetworks

International Journal of Sciences,Engineering and Advanced TechnologyISSN:2321-6905SEAT, VOL 3,ISSU 11

28 T.LathaV.P.S.Vinay kumar

Enabling fine-grained Multi-keyword search supportingclassified sub-dictionaries overencrypted cloud data

INTERNATIONAL JOURNAL OFAPPLED SCIENCS,ENGINEERINGAND MANAGEMENTISSN:2320-3439, VOL 04,No. 03

Ph.D. guided /Ph.D. awarded during the assessment period while working in the institute (4)



1. Dr. K Sai Manoj, CEO has received his Ph.D. during the academic year 2014-2015.

2. Dr. P Chiranjeevi, Associate Professor has received his Ph.D. during the academic year 2014-

2015.

5.7.2. Sponsored Research (5)

Funded research:

(Provide a list with Project Title, Funding Agency, Amount and Duration) Funding amount

(Cumulative during three academic years):

Amount >20 Lacs – 5Marks

Amount >= 16 Lacs and<=20 lacs– 4 Marks

Amount >= 12 Lacs and< 16 lacs– 3 Marks

Amount >=8 Lacs and <12 lacs– 2 Marks Amount >=4 Lacs and < 8 lacs – 1 Mark Amount <4 Lacs–

0 Mark

The college has not derived any Sponsored Research projects from outside; however, The Management

has taken an initiative to provide seed funding for the students and post graduate researchers at

institutional levels of their own funds. The following are the details:

Seed funds allotted for the year 2017-2018S. No Allotted seed fund

1 Rs. 250000


1 Rs. 250000


1 Rs. 200000


1 Rs. 150000

5.7.3.Development activities (10)

Research laboratories

S.No Licensed Software Description1 Microsoft e- Licensed2 Window Server3 MS Office4 SQL Server5 Windows XP6 Linux ,NS27 Ardino Board8 Mat Lab



Instructional materials

S.No Details1 Smart Class(Multimedia Projector)2 Lab Manual3 NPTEL videos4 Assignments5 PPT

Working models/ charts/ monogrammed.

S.No Details1 Animations2 Lab Description Charts3 Lab Manuals

Provide details:

o Product Development

o Research laboratories

o Instructional materials

o Working models/charts/monograms etc.

5.7.4. Consultancy (from Industry)(5)

(Provide a list with Project Title, Funding Agency, Amount and Duration)

Funding amount (Cumulative during three academic years): Amount >10 Lacs – 5Marks

Amount >=8 Lacs and <= 10 lacs– 4 Marks

Amount >=6 Lacs and < 8 lacs – 3 Marks

Amount >=4 Lacs and < 6 lacs – 2 Marks Amount >=2Lacsand < 4 lacs – 1 Mark

Amount <2 Lacs– 0 Mark

2017-2018

Project Title Duration Funding Agency Amount

web site for Agri farms 6 months Dhanalakshmi Agri farms 50000.00

sixth wall 3 months Innogeecks Global services 10000.00

2016-2017


web site for agri farms 6 months Dhanalakshmi Agri farms 50000.00

sixth wall 3 months Innogeecks Global services 10000.00



2015-2016


website for payment 3 months NUKON blocks 25000.00

5.8. Faculty Performance Appraisal and Development System (FPADS) (30)

Faculty members of Higher Educational Institutions today have to perform a variety of tasks

pertaining to diverse roles. In addition to instruction, Faculty members need to innovate and conduct

research for their self-renewal, keep a breast with changes in technology, and develop expertise for

effective implementation of curricula. They are also expected to provide services to the industry and

community for understanding and contributing to the solution of real life problems in industry.

Another role relates to the shouldering of administrative responsibilities and co-operation with other

Faculty, Heads-of-Departments and the Head of Institute. An effective performance appraisal system

for Faculty is vital for optimizing the contribution of individual Faculty to institutional performance.

The assessment is based on:

A well-defined system for faculty appraisal for all the assessment years (10)

Its implementation and effectiveness (20)

A well-defined system for faculty appraisal for all the assessment years

(i) Faculty Self Assessment – A format is being provided which the faculty has to fill twice every

year

(ii) Departmental Assessment Committee – It assess results after every end semester exams

(iii) Feedbacks from Students – Discussion with student representatives and gets feedbacks

about every individual faculty monthly once

Its implementation and effectiveness

Faculty Self Assessment:-

Implementation: - The faculty fills a form by which he can know what all shortcomings he has done

in teaching a particular subject

Effectiveness: - The faculty hence becomes aware so as not to repeat the same thing again, as well

as it helps him to cover the subject effectively in the coming semesters

Departmental Assessment Committee

Implementation:-The End semester results are assessed using various criteria‟s as well as compared

with the internal exams conducted

Effectiveness:-This helps a faculty to motivate and help students to improve in the subject

Feedbacks from Students

Implementation:-Every month a meeting is held with the students committee



Effectiveness:-It helps the teacher to improve his teaching style

Amrita Sai Institute of Science and TechnologyApproved by AICTE, New Delhi; Permanently Affiliated to JNTUK, Kakinada

ISO 9001:2015 Certified Institution, Accredited by NAAC with ‘A’ gradeAmrita Sai Nagar, Paritala, Krishna District, Andhra Pradesh – 521 180

www.amritasai.edu.in, 0866 2428399

Ref: ASIST/FAC/SA/16.FACULTY SELF APPRAISAL FORM

1. Name :

2. Designation :

3. Department :

ACADEMIC WORKS

4. Progress Report for the Academic Year : Odd / Even Sem

ParticularsAnnual/Semester I Annual/Semester II

Subject 1 Subject 2 Subject 1 Subject 2Subject Title

% of Syllabus Covered

No. of Units Completed

No. of Periods Conducted

No of Students Registered

Percentage of Pass

Percentage of Fail

Highest Mark

Average Mark

No. of Students Securing > 60%

5. (a) Type & No. of Innovative methods (Class Room):

(b) Extra Coaching Arranged :

6. Laboratory :No. of Session Conducted :

No. of Experiments prescribed in the syllabus:

No. of Experiments Completed :

7. List of Seminars / Workshops Attended During this Academic Year

8. List of Papers / Articles Published / Presented during the Year



9. List of Sponsorship / Consultancy / Project Work10. Any other Assignments (Non – Academic Works) pertaining to:

(a) College :

(b) University :

(c) Any other Organization:

11. a) Appreciation / Awards / Recognition earned :

b) Disciplinary Actions faced :

12. Other activities Inside/Outside the campus towards development of self & students

13. Any other Information

14. Whether proficient with the rules, regulations and management systems: Yes No

15. Leave Details:

Period CL Loss of Pay Number of Late comings

Date Signature of the Faculty

a) REMARKS OF THE HEAD OF THE DEPARTMENT AND POINTS AWARDED:(Based on inter personal relationship with faculty members and students, specific contribution to thedepartment etc)

Signature of the HOD

b) REMARKS OF THE PRINCIPAL AND POINTS AWARDED:(Based on specific contribution to the institutional and departmental activities, on-time completion etc)

STAFF APPRAISAL – POINTS EARNED:

StudentsFeedback- 25

UniversityResults- 50

HOD15

Principal10

Total100

Date: Signature of PRINCIPAL

5.9.Visiting/Adjunct/Emeritus Faculty etc. (10)



Adjunct faculty also includes Industry experts. Provide details of participation and

contributions in teaching and learning and/or research by visiting/adjunct/Emeritus faculty etc.

for all the assessment years:

o Provision of inviting/having visiting/adjunct/emeritus faculty (1)

o Minimum 50 hours per year interaction with adjunct faculty from industry/retired

professors etc.

(Minimum 50 hours interaction in a year will result in 3 marks for that year;3 marks x 3

years=9 marks)

SNO NAME DESIGNATION TOPIC

1 Dr RAMANA MURTHY SCIENTIST – F, ISRO SATTELITE EVALUATION

2 Dr SUBRAHMANYAM PROFESSOR KLU COMPUTER NETWORKS



CRITERION-6 Facilities and Technical Support 80

6. FACILITIES AND TECHNICAL SUPPORT (80)

6.1. Adequate and well equipped laboratories, and technical manpower (30)

Sr.No

Name ofthe

Laboratory

Numberof

studentsper set

up(BatchSize)

Name ofthe

ImportantEquipment

Weeklyutilizationstatus(all

the coursesfor whichthe lab isutilized)

Technical Manpower Support

Name of theTechnical

staffDesignation Qualification

1 ComputerLab-1

60 ComputerSystem

6 hours Md. Rafi Programmer M. Tech

2 ComputerLab-2

60 ComputerSystem

6 hours K.Venkateswrlu

Programmer MCA

3 ComputerLab-3

60 ComputerSystem

6 hours N.VenkateswaraRao

Programmer M. Tech

6.2. Additional facilities created for improving the quality of learning experience in laboratories

(25)

Sr.No

FacilityName

DetailsReason(s) forcreating facility

Utilization

Areas inwhichstudents areexpected tohaveenhancedlearning

RelevancetoPOs/PSOs

1 Project Lab Computers Doing projects 6 hours per dayHADOOPAND JAVA

PO4,PO5

2

CloudcomputerCenter ofExcellence

Computers ProjectsDEPENDS UPONREQUIREMMENT

CloudComputing

PO4,PO5

6.3. Laboratories: Maintenance and overall ambiance (10)To maintain the laboratories a departmental committee is constituted headed by head of the

department. This committee is responsible for maintenance. All the laboratories are maintained

periodically. Annual maintenance contract is given to the vendor for smooth maintenance of the

laboratory. In house maintenance is also carried out as per requirement. Overall ambience of the

laboratories is maintained.

Policy: Equipment is operated in accordance with manufacturer’s instructions and in a way whichminimizes the cost of repairs and maintenance.

Procedure:1. Do’s and Don’ts and Safety measures rules are displayed in each laboratory.

2. Well Technical Staff are available for maintenance of Electronic equipments and software.



3. Department having four 10 KVA UPS, 240 VDC along with Batteries is used in case of power

failure in the PC system Labs.

4. Servicing of each laboratory is doing frequently.

5. Calibration of the each laboratory is done frequently.

6. Department having internet of 100 Mbps and Wi-Fi of 35 Mbps is maintained for students and

Faculty usage.

7. All necessary PC system regular software like Microsoft office, browser, lab software;

antivirus software etc, is installed and maintained.

Ambiance:

1. Department has Full furnished State of Art laboratories with well equipped equipments which

shall cater to all UG and PG courses as per curriculum requirements.

2. Conditions of chairs/benches are in good condition. Chair with desk are provided for individual

students in Labs.

3. Department has experienced faculty to educate them in all the fields of engineering.

4. All the labs are conducted and evaluated every week. .

5. Labs are equipped with sufficient hardware and licensed software to run program specific

curriculum and off program curriculum.

6. Laboratory manual are distributed to students.

7. Sufficient number of windows is available for ventilation and natural light and every lab has

one exit.

8. Lighting system is very effective, along with the natural light in every corner of the rooms.

9. Cup-boards are available in each lab for students to place their belongings.

10.Each Lab is equipped with white/black board, computer, Internet, and such other amenities.

11.Research laboratory/dept library is available 24X7 for all faculties and students to carry

research work and projects.

12.Exclusively, a project lab has been provided for the students to carry out their mini and major

project work.

SNOName of theLaboratory

Type and serial number ofthe Machine

ProblemDate

ReportedPROBLEMSOLVED

Departmentresponsible for

clearing thedefect

Reasonsfor delay

1 CSE- LAB I

ASIST/CC2/CPU-001ASIST/CC2/CPU-002ASIST/CC2/CPU-003ASIST/CC2/CPU-004ASIST/CC2/CPU-005ASIST/CC2/CPU-006ASIST/CC2/CPU-007ASIST/CC2/CPU-008

Mousehasproblem

1/04/173/04/173/03/175/04/1722/6/1722/6/1722/6/1723/6/17

SOLVEDComputerMaintenanceDepartment



ASIST/CC2/CPU-009ASIST/CC2/CPU-010

2 CSE LAB-I

ASIST/CC2/CPU-011ASIST/CC2/CPU-012ASIST/CC2/CPU-013ASIST/CC2/CPU-014

No signal

22/6/1722/6/1722/6/1728/6/17


3 CSE LAB-I

ASIST/CC2/CPU-015ASIST/CC2/CPU-016ASIST/CC2/CPU-017ASIST/CC2/CPU-018ASIST/CC2/CPU-019ASIST/CC2/CPU-020ASIST/CC2/CPU-021ASIST/CC2/CPU-022ASIST/CC2/CPU-023ASIST/CC2/CPU-024ASIST/CC2/CPU-025ASIST/CC2/CPU-026ASIST/CC2/CPU-027ASIST/CC2/CPU-028ASIST/CC2/CPU-029ASIST/CC2/CPU-030ASIST/CC2/CPU-031ASIST/CC2/CPU-032ASIST/CC2/CPU-033

No power6/6/1716/6/17


4 CSE LAB-I

ASIST/CC2/CPU-034ASIST/CC2/CPU-035ASIST/CC2/CPU-036ASIST/CC2/CPU-037ASIST/CC2/CPU-038ASIST/CC2/CPU-039ASIST/CC2/CPU-040ASIST/CC2/CPU-041ASIST/CC2/CPU-042ASIST/CC2/CPU-043

Powerproblem

16/6/1722/6/17


5ASIST/CC2/CPU-044ASIST/CC2/CPU-045

MotherBoardand HDDnotworking

22/6/1722/6/17


6 ASIST/CC2/CPU-046Mousehasproblem

22/6/17 SOLVEDComputerMaintenanceDepartment

7 ASIST/CC2/CPU-047 No signal 22/6/17 SOLVEDComputerMaintenanceDepartment

8 ASIST/CC2/CPU-048Mousehasproblem

22/6/17 SOLVEDComputerMaintenanceDepartment



9

ASIST/CC2/CPU-049ASIST/CC2/CPU-050ASIST/CC2/CPU-051ASIST/CC2/CPU-052ASIST/CC2/CPU-053ASIST/CC2/CPU-054ASIST/CC2/CPU-055ASIST/CC2/CPU-056ASIST/CC2/CPU-057ASIST/CC2/CPU-058ASIST/CC2/CPU-059ASIST/CC2/CPU-060

restart

22/6/1728/6/1728/6/17


6.4. Project laboratory (5)

(Mention facilities & Utilization)

To do projects there is a LAB with 30 systems. The lab will be utilized by all the students who are

interested to do the projects in house. High speed Internet facility is always available to these systems.

The systems can support advanced software which are useful in projects.

A dedicated lab is there exclusively for the project works to be carried out by the students.

6.5.Safety measures in laboratories (10)

S. No Laboratory Name Safety Measures

1 computer lab 1

1. If any problem arises with system report it to the lab in-charge.

2. Keep all your files in one folder with proper password.3. Sign in the log-out register before leaving the lab.4. For any debugging, virus problems consult the programmer

for help.5. Records and observations are get signed by the concerned

staff on the same day.6. Don’t leave the lab without correction of your day to day

work.7. Don’t insert floppies, CDs and Pen drives without prior

permission.8. Don’t tell your password to any other.9. Don’t forget to turn off your system properly.

2 computer lab 2





work.



7. Don’t insert floppies, CDs and Pen drives without priorpermission.

8. Don’t tell your password to any other.9. Don’t forget to turn off your system properly.

3 computer lab 3





work.7. Don’t insert floppies, CDs and Pen drives without prior

permission.8. Don’t tell your password to any other.9. Don’t forget to turn off your system properly.



CRITERION-7 Continuous Improvement

7. CONTINUOUS IMPROVEMENT (50)

7.1. Actions taken based on the results of evaluation of each of the POs &PSOs (20)

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.

POs Attainment Levels and Actions for Improvement- (2015-2016)

POsTargetLevel

AttainmentLevel

Observations

PO 1 : Engineering Knowledge

PO 1 68.12% 55.85%Attainment is low in the following subjects Cryptography andnetwork security, mobile computing

Observations: 1. Attainment level still it is 55.85% we need to improve 2.Students find it difficult tosolve computer organization concepts 3. Basic knowledge of addressing modes not well understood

PO 2 : Problem Analysis



PO 3 : Design/development of Solutions



PO 4 : Conduct Investigations of Complex Problems



PO 5 : Modern Tool Usage

PO 5 58.86% 51.30%Attainment is low in the following subjects Cryptography and networksecurity, mobile computing


PO 6 : The Engineer and Society


Observations: 1. Attainment level still it is 55.85% we need to improve 2.Students find it difficult to



solve computer organization concepts 3. Basic knowledge of addressing modes not well understood

PO 7 : Environment and Sustainability



PO 8 : Ethics



PO 9 : Individual and Team Work



PO 10 : Communication



PO 11 : Project Management and Finance



PO 12 : Life-long Learning

PO 12 68.12% 55.85%Attainment is low in the following subjects Cryptography and network security, mobile computing



POsTargetLevel

AttainmentLevel

Observations


PO 1 68.12% 43.30%Data Structures, computer organization and automatatheory

1. Attainment level still it is 43.30% we need to improve 2.Students find it difficult to solvecomputer organization concepts 3. Basic knowledge of addressing modes not well understood




PO 2 68.12% 43.30%Data Structures, computer organization and automatatheory

1. Attainment level still it is 43.30% we need to improve 2.Students find it difficult to solvecomputer organization concepts 3. Basic knowledge of addressing modes not well understood


PO 3 80% 70.72%Attainment is low in the following subjects DataStructures, computer organization and automatatheory

Observations : 1. Attainment level still it is 70.72% we need to improve 2 Students find it difficultto solve computer organization problem


PO 4 65% 55.78%Attainment is low in the following subjects DataStructures, computer organization and automatatheory



PO 5 63.70% 58.33%Attainment is low in the following subjects DataStructures, computer organization and automatatheory




Observations: 1.Atainement level still it is 30.50% we need to improve 2.Students find it difficult tosolve computer organization concepts 3. Basic knowledge of addressing modes not well understood


PO 7 60.42% 34.50%Attainment is low in the following subjectsData Structures, computer organization andautomata theory


PO 8 : Ethics


















POsTargetLevel

AttainmentLevel

Observations

PO 1 : Engineering Knowledge - Apply knowledge of mathematics and science, with fundamentalsof Computer Science & Engineering to be able to solve complex engineering problems related toCSE.

PO 1 70.12% 65.85%Attainment is low in the following subjects ComputerOrganization, Distributed Systems and mobile computing

Observations:1. Attainment level still it is 65.85% we need to improve2. Students find difficult to solve problems in computer organization.3. Addressing modes and instruction formats are not getting by the students.

PO 2 : Problem Analysis: Identify, Formulate, review research literature and analyze complexengineering problems related to CSE and reaching substantiated conclusions using first principles ofmathematics, natural sciences and engineering sciences




Observations:1. Attainment level still it is 51.30% we need to improve2. Students find it difficult to solve computer organization concepts3. Basic knowledge of addressing modes not well understood

PO 3 : Design/development of Solutions: Design solutions for complex engineering problems relatedto CSE and design system components or processes that meet the specified needs with appropriateconsideration for the public health and safety and the cultural societal and environmentalconsiderations



PO 4: Conduct Investigations of Complex Problems: Use research–based knowledge and researchmethods including design of experiments, analysis and interpretation of data, and synthesis of theinformation to provide valid conclusions.



PO 5 : Modern Tool Usage: Create, Select and apply appropriate techniques, resources and modernengineering and IT tools including prediction and modeling to computer science related complexengineering activities with an understanding of the limitations

PO 5 58.86% 43.30%Attainment is low in the following subjects Computer Organization,Distributed Systems and mobile computing


PO 6 : The Engineer and Society: Apply Reasoning informed by the contextual knowledge to assesssocietal, health, safety, legal and cultural issues and the consequent responsibilities relevant to theCSE professional engineering practice



PO 7 : Environment and Sustainability: Understand the impact of the CSE professional engineeringsolutions in societal and environmental contexts and demonstrate the knowledge of, and need forsustainable development





PO 8 : Ethics: Apply Ethical Principles and commit to professional ethics and responsibilities andnorms of the engineering practice



PO 9 : Individual and Team Work: Function effectively as an individual and as a member or leader indiverse teams and in multidisciplinary Settings



PO 10 : Communication: Communicate effectively on complex engineering activities with theengineering community and with society at large such as able to comprehend and with write effectivereports and design documentation, make effective presentations and give and receive clearinstructions.



PO 11 : Project Management and Finance: Demonstrate knowledge and understanding of theengineering management principles and apply these to one’s own work, as a member and leader in ateam, to manage projects and in multi-disciplinary environments



PO 12 : Life-long Learning: Recognize the need for and have the preparation and ability to engage inindependent and life-long learning the broadest context of technological change



7.2. Academic Audit and actions taken thereof during the period of Assessment (10)

(Academic Audit system/process and its implementation in relation to Continuous Improvement)

Academic Audit

The Departments of any institution are the backbone of the core business of any institution where

trifocal activities i.e. teaching, research and service are conducted. An academic audit reviews the



processes and procedures used by Departments to enhance the quality of their Programs in terms of

program objectives and ensure graduate attributes as program outcomes as defined by each

Department are achieved against the stipulated targets for which standard practices and processes need

to be put in place.

Objectives of Academic Audit

The main objective of an academic audit is to ascertain departments have put in place adequate and

effective quality assurance mechanisms in terms of strategies, procedures, their applicability, that

ensures quality inputs and consequently quality outputs; their agility in ensuring continuous

improvements along with review of available resources, their optimal utilization, additional resource

requirements for providing quality education.

1) Unit of Audit

The primary unit of academic audit is the Department.

2) Focus Areas

(a) Defining intended Course and Program Outcomes

(b) Identifying curricular gaps and strategy to bridge the gaps

(c) Designing effective teaching and learning processes

(d) Developing and using outcome based student assessment

(e) Assuring implementation of quality education - significant activities such as research andservices, co- curricular and extracurricular activities to support program outcomes

3) Methodology

3.1 Approach

Institution creates various committees for conduct and review of activities at the institution anddepartment levels. The compositions, functions of the committees are as follows:

(a) Institutional Level Committee - Institution Assessment Core Committee (IACC)

Composition:

Chairman - Head of the Institution

Members - All HODs.

Special member - TPO, Member Secretary -

Broad Functions

Contribute to preparation of SAR especially information related to institutional and finance

Seek timeline and action plan from each department for Direct and Indirect assessment and

ensure its compliance.

Interact with employers/industry/alumni and prepare manpower market analysis



Conduct end of Semester analysis of results and achievement of POs/PSOs for all Departments

Prepare annual report of success/failures on various parameters

Taking corrective actions and additional inputs for meeting POs/PSOs

Assessment and revision of PEOs

Review of Institutional and Departmental Vision and Mission

Present the analysis of all departments to the BOS/Management

Develop faculty appraisal system and assess faculty performance annually; report to BOG

Frequency of Meetings

The committee should preferably meet twice a month, with agenda and action taken record

(b) Department Level Committees

1. Department Advisory Committee (DAC)

Composition

Chairman: HOD,

Faculty - Members and

Especial external members - (Alumni, Industry, Professional Society Representation).

Broad Functions

Review assessment of Course Outcomes and their relationship with POs/PSOs prepared by

HODs

HOD collects recommendations and suggestions and through department advisory committee

come out with implementable actions or items points for continuous improvements of POs and

PEOs

HOD presents report to IACC with resource requirements and academic directions

Frequency of meeting

Meeting may be held at the end of the semester and report prepared.

(c) Program Assessment Committee

Composition:

Chairman - HOD

Members - All faculty

Broad Functions

Prepare and finalize the PEOs and POs/PSOs, Align them with the Mission and write the

process of development of PEOs and POs

Conduct assessment of placement record for ensuring PEOs attainments or revision if required

Conduct assessment of curriculum and resources available to meet the developed PEOs and

POs, decide additional course contents, electives to bridge the gaps and inform the shortfalls in



resources to the Institutional Core Committee which will evaluate the needs and present the

additional requirement to the management

Supervises the COs and their alignment to POs, assignments, tests, quiz, activities, Bloom’s

Taxonomy and ensures targets set by faculty are realistic.

Develop common Performance Indicators for respective Courses aligned to the PO and ensures

the faculty develop activities, tests, quiz, assignments related to the common performance

indicators as well as for their course specific indicators

Monitors progress periodically

Develop a description of the process with questionnaires and tools required for continuous

assessment

Develop faculty self-appraisal questionnaire and student feedback questionnaire

Decide frequency of assessment of POs – internal and external

Obtain COs from respective faculty for concerned PO along with their alignment with PO,

Bloom’s Taxonomy and target of expected achievements

For direct assessment collects the student results for respective courses aligned to the PO and

analyze the average achievement of performance

Hold discussions with concerned faculty on shortfalls for the achievement of pre-set targets.

Collects recommendations for improvements

Prepare and conduct indirect assessment and prepare report

Record the results and presents to the IACC of direct and indirect assessment.

Maintain and update website

Frequency of Meeting

Monthly monitoring and also at the end of semester

3.2 The Process

The Management through BOG will decide the main guidelines of academic audit indicating special

reference to investigation to be made about the various practices being followed by the departments.

The emphasis would remain on teaching, research and services. All attempts will be made to ensure

that continuous growth of all major parameters related to quality of education are achieved. The

achievement with specific reference to the plan of action related to PEOs and POs/PSOs will be

monitored. The BOG will authorize IACC to conduct the audit and collect information through

various records that may include the following:

Department action plan and targets

Minutes of Departmental meetings of various committees

Record of content delivery through lectures, practical etc. and



Result analysis semester/annual of courses in relation to set targets.

Results and interpretation of indirect assessment

Corrective action envisaged

Recommendations of department Advisory Board

Any other evidential material

3.3. Reporting

The purpose of academic audit is not judgmental but to cause development to happen. The IACC will

produce a report that describes the strengths and weaknesses of the each department’s efforts to

improve academic quality of their programs and identify plans for improvements. The main

components of the report will be:

Recognition of Good practice

Recognition of well performing departments

Recommendations for improvement

The audit report is presented to the BOG and made available to the departments who will be required

to respond to the issues raised in the report. The response of the departments will be part of the final

audit report. The audit report shall be presented to BOG and thereafter displayed on

Department/institutional website.

7.3. Improvement in Placement, Higher Studies and Entrepreneurship(10)

Assessment is based on improvement in:

Placement: number, quality placement, core industry, pay packages etc.

Higher studies: performance in GATE, GRE, GMAT, CAT etc., and admissions in premier

institutions

Entrepreneurs

Based on the evaluation and review of the attainment of POs, modification are done in the

program curriculum, aspects such as increase or decrease in the components of theory, practical,

project work, communication skills courses and elective courses are considered. In

addition, attempt is made to introduce new courses, labs, experiments, exercises for project work, etc

on the basis of external interaction with the industry and academia at seminars or conferences.

Some of the improvements that have been carried out in the past are listed below:

o Some new experiments have been added in the lab courses

o New elective courses have been added from time to time

Placement:

We are conducting soft skill classes of aptitude, reasoning and to improve the communication

skill.



For improvement in placement of the students expert lectures are arranged from the industry

exports.

We are conducting mock test before any campus drive it includes technical interview, HR

interview and group discussion

Higher studies:

We are motivating students to go for higher studies within India and Abroad.

We encourage our students to appear and perform in GATE, GRE, GMAT, CAT etc., and

admissions in premier institutions

Entrepreneurs

In our institute entrepreneurship development cell is organizing workshop on entrepreneurship.

Through entrepreneurship development cell interaction with the entrepreneur is organized.

Through entrepreneurship development cell competitions are arranged for new innovative

business ideas.

7.4. Improvement in the quality of students admitted to the program(10)

Assessment is based on improvement in terms of ranks/score in qualifying state level/national level

entrances tests, percentage marks in Physics, Chemistry and Mathematics in 12th Standard and

percentage marks of the lateral entry students.

Entrance Examination) Closing Score/Rank 2017-2018 2016-2017 2015-2016

State/University/Level EntranceExamination/OthersAP EAMCET

No. of Students admitted 118 118 117

Opening Score/Rank 22787 11172 11172

Closing Score/Rank 138956 156765 136892

Name of the Entrance

Examination for Lateral Entry

or lateral entry details

APECET

No. of Students admitted 0 0 1

Opening Score/Rank 0 0 2587

Closing Score/Rank 0 0 2587

Average CBSE/Any other Board Result of admitted

students (Physics, Chemistry & Mathematics)118 100 83



CRITERION-8 : FIRST YEARACADEMICS (50)

8.1.First Year Student-Faculty Ratio (FYSFR)(5)

Assessment =(5×15)/Average FYSFR(Limited to Max.5) Data for first year courses to calculate theFYSFR:

YearNumber of students

(approved intake strength)

Number of facultymembers

(considering fractionalload)

FYSFR

2015-2016 540 32 152016-2017 540 36 152017-2018 540 36 15Average 15

Assessment= (5 ×15)/Average

FYSFR (Limited to Max. 5)5.0

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 15:1, Faculty definition as defined in5.1

Year X Y RFAssessment of faculty

qualification (5x + 3y)/RF

2015-2016 7 38 32 4.652016-2017 7 38 32 4.652017-2018 7 38 36 4.13

Average Assessment 4.47

8.3.First Year Academic Performance(10)

Academic Performance= ((Mean of 1stYear Grade Point Average of all successful Students on a 10

point scale) or (Mean of the percentage of marks in First Year of all successful students/10))x (number

of successful students/number of students appeared in the examination). Successful students are those

who are permitted to proceed to the second year.



8.30 7.60 8.10

Total Number of successful students(Y) 64.00 89.00 56.00

Total Number of students appeared in theexamination(Z)

119.00 106.00 80.00

API [X*(Y/Z)] 4.46 6.38 5.67

Average API[ (AP1+AP2+AP3)/3 ] : 5.50Assessment [ 1.5 * Average API] : 5.50



8.4. Attainment of Course Outcomes of first year courses (10)

8.4.1. Describe the assessment processes used to gather the data upon which the evaluation of

Course Outcomes of first year is done (5)

(Examples of data collection processes may include, but are not limited to, specific exam questions,

laboratory tests, internally developed assessment exams, oral exams assignments, presentations,

tutorial sheets etc.)

Scheme and Syllabus (Subject wise) is provided by the University. We have developed our co allcourse outcomes are developed using Bloom taxonomy and consequently assignments tests quizpractical and internal exams and projects are aligned to the Cos addressing the same levels of Blooms

Taxonomy. Each unit covers one or two Cos, generally 1st unit covers Remembering and

understanding level, 2nd unit cover applying level, 3rd unit covers analysing level, 4th and

5th unit covers Evaluating and creating level. But it may vary from subject to subject. Somesubjects may cover only four level, some may five or all six levels. For evaluation of Cos welldefined statistical technique is used to map the question with the CO and mapping with the POsand PSOs. Since the question wise results of students from university are not available, analysis ofCO with question is limited to internal examinations, assessment of lab practical, assignments, quizonly.

2017-18

Students have taken R16 regulation stipulated by JNTUK Two Internal tests for maximum mark of 30 are conducted. The final internal

marks have been assessed 80% of maximum internal marks of both exams and20% of minimum marks of both internal exams.

The performance of a student in internal assessment with respect to the CO’s isrecorded.

End semester University exam performance of students for the maximum mark of70 is considered for external exam performance.

The summation of these two performances is considered as cumulativeassessment for a prescribed course out come.

The laboratory assessment is evaluated for 75 marks. 75 marks are divided into 25as internal assessment and 50 marks as external assessment. The internalassessment 25 is further divided into day to day performance – 10, record – 5 andinternal examination-10.

2016-17

Students have taken R16 regulation stipulated by JNTUK Two Internal tests for maximum mark of 30 are conducted. The final internal

marks have been assessed 80% of maximum internal marks of both exams and20% of minimum marks of both internal exams.

The performance of a student in internal assessment with respect to the CO’s isrecorded.

End semester University exam performance of students for the maximum mark of70 is considered for external exam performance.

The summation of these two performances is considered as cumulativeassessment for a prescribed course out come.

The laboratory assessment is evaluated for 75 marks. 75 marks are divided into 25as internal assessment and 50 marks as external assessment. The internalassessment 25 is further divided into day to day performance – 10, record – 5 andinternal examination-10.



2015-16

Students have taken R13 regulation stipulated by JNTUK Two Internal tests for maximum mark of 30 are conducted. Best of those two tests

is being finalized as internal assessment. The performance of a student in internal assessment with respect to the CO’s is

recorded. End semester University exam performance of students for the maximum mark of

70 is considered for external exam performance. The summation of these two performances is considered as cumulative

assessment for a prescribed course out come. The laboratory assessment is evaluated for 75 marks. 75 marks are divided into 25

as internal assessment and 50 marks as external assessment. The internalassessment 25 is further divided into day to day performance – 10, record – 5 andinternal examination-10.

8.4.2. Record the attainment of Course Outcomes of all first year courses (5)Program shall have set attainment levels for all first year courses. (The attainment levels shall be set

considering average performance levels in the university examination or any higher value set as target

for the assessment years. Attainment level is to be measured in terms of student performance in

internal assessments with respect the COs of a subject plus the performance in the University

examination)

2017-2018Subject Sem PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10PO11PO12

Maths - I 1st 1.7 1.2 1.6 1.0 1.6 1.0 1.1 1.6 0.6 1.0 1.0 1.0

English 1st 1.4 1.4 1.6 1.4 1.6 1.4 0.5 1.6 0.7 1.4 1.4 1.4

Applied Chemistry 1st 1.4 1.3 1.1 1.2 1.1 1.2 0.6 1.1 0.5 1.2 1.2 1.2

Engineering drawing 1st 1.9 1.4 1.5 1.6 1.5 1.6 1.0 1.5 0.5 1.6 1.6 1.6

Computer programming 1st 1.3 1.0 1.4 1.2 1.4 1.2 1.4 1.4 0.6 1.2 1.2 1.2

Maths - II 2nd 1.7 1.4 0.7 1.1 0.7 1.1 1.2 0.7 0.5 1.1 1.1 1.1

Environmental Studies 2nd 1.2 1.2 0.8 1.2 0.8 1.2 1.6 0.8 0.6 1.2 1.2 1.2

Applied Physics 2nd 1.9 1.6 0.8 1.6 0.8 1.6 1.2 0.8 0.5 1.6 1.6 1.6

Engineering mechanics 2nd 1.6 1.2 0.7 1.2 0.7 1.2 1.1 0.7 0.5 1.2 1.2 1.2

Maths-III 2nd 1.4 1.1 0.7 1.1 0.7 1.1 0.5 0.7 0.6 1.1 1.1 1.1

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(15)

The relevant program outcomes that are to be addressed at first year need to be identified by the

institution. Program Outcome attainment levels shall be set for all relevant POs and/or PSOs through

first year courses. (Describe the assessment processes that demonstrate the degree to which the

Program Outcomes are attained through first year courses and document the attainment levels. Also

include information on assessment processes used to gather the data upon which the evaluation of each

Program Outcome is based indicating the frequency with which these processes are carried out)



POs Attainment:

Course PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12co1 0.00 2.59 2.00 2.39 1.72 1.46 2.32 1.98 2.42 1.73 2.86 2.20co2 2.86 2.86 2.86 2.86 2.86 2.32 2.16 1.10 1.36 1.92 2.32 2.86co3 2.85 2.85 2.85 2.85 2.78 1.42 2.36 1.91 2.24 1.32 1.98 2.85co4 2.85 2.85 2.85 2.9 2.9 1.98 2.36 1.92 2.34 1.56 2.12 2.90

PO Attainment Level

Course PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12

Direct Attainment 2.14 2.79 2.64 2.75 2.56 1.80 2.30 1.73 2.09 1.63 2.32 2.70

CO Attainment 2.14 2.79 2.64 2.75 2.56 1.80 2.30 1.73 2.09 1.63 2.32 2.70

PSOs Attainment:

Course PSO1 PSO2 PSO3co1 2.85 2.14 2.36co2 2.56 1.16 1.15co3 2.34 2.85 2.36co4 2.18 2.39 2.56

PSO Attainment LevelCourse PSO1 PSO2 PSO3

Direct Attainment 2.48 2.14 2.11CO Attainment 2.48 2.14 2.11

8.5.2. Actions taken based on the results of evaluation of relevant POs (5)

(The attainment levels by direct (student performance) are to be presented through Program level

Course-PO matrix as indicated)


POsTargetLevel

AttainmentLevel

Observations


PO 1 80% 70.72%

Attainment is low in the following subjects: Mathematics-1,Engineering PhysicsObservations : 1.Atainement level still it is 70% we need toimprove 2 Students find it difficult to solve integrationproblems.

Actions 1. Additional classes to be conducted to introduce more number of methods in Mathematics-1.2. More Engineering Physics to be taught in tutorial classes 3. Practical approach of teachingprogramming to be adapted. 4. More problems will be given for practice for automata theory




PO 2 65% 55.78%

Attainment is low in the following subjects: Mathematics-1,Engineering Physics and Mathematics-II and EngineeringMechanics.Observations : 1.Atainement level still it is 55.78% we need toimprove 2 Students find it difficult to solve integrationproblems.

Actions 1. Additional classes to be conducted to introduce data structures concepts 2.More computerorganization to be taught in tutorial classes


PO 3 80% 70.72%

Attainment is low in the following subjects: Mathematics-1,Engineering Physics and Mathematics-IIObservations : 1.Atainement level still it is 70.72% we need toimprove 2 Students find it difficult to solve integrationproblems.

Actions 1. Additional classes to be conducted to introduce data structures concepts 2. More computerorganization to be taught in tutorial classes 3. Practical approach of teaching programming to beadapted. 4. More problems will be given for practice for automata theory


PO 4 65% 55.78%


Actions 1. Additional classes to be conducted to introduce data structures concepts 2.More computerorganization to be taught in tutorial classes


PO 5 63.70% 58.33%


Actions 1.Additional classes to be conducted to introduce data structures concepts 2.More computerorganization to be taught in tutorial classes 3. Practical approach of teaching programming to beadapted.


PO 6 57.37% 30.50%




Actions 1.Additional classes to be conducted to introduce data structures concepts 2.More computerorganization to be taught in tutorial classes


PO 7 60.42% 34.50%



PO 8 : Ethics

PO 8 53.43% 43.06%

Attainment is low in the following subjects Data Structures,computer organization and automata theory Observations:1.Atainement level still it is 43% we need to improve2.Students find it difficult to solve computer organizationconcepts 3. Basic knowledge of addressing modes not well



PO 9 58.05% 45.05%

Attainment is low in the following subjects Data Structures,computer organization and automata theory Observations:1.Atainement level still it is 45% we need to improve2.Students find it difficult to solve computer organizationconcepts 3. Basic knowledge of addressing modes not wellunderstood



PO 10 65.73% 72.70%

Attainment is low in the following subjects Data Structures,computer organization and automata theory Observations:1.Atainement level still it is 72% we need to improve2.Students find it difficult to solve computer organizationconcepts 3. Basic knowledge of addressing modes not wellunderstood



PO 11 58.86% 43.30%

Attainment is low in the following subjects Data Structures,computer organization and automata theory Observations:1.Atainement level still it is 43% we need to improve2.Students find it difficult to solve computer organizationconcepts

Action 1: 1. More problems will be given for practice




PO 12 68.12% 55.85%

Attainment is low in the following subjects Data Structures,computer organization and automata theory Observations:1.Atainement level still it is 45% we need to improve2.Students find it difficult to solve computer organizationconcepts 3. Basic knowledge of addressing modes not well



Pos Target LevelAttainmentLevel

Observations


PO 1 80% 70.72%

Attainment is low in the following subjects DataStructures, computer organization and automatatheory Observations: 1.Atainement level still it is43% we need to improve 2.Students find itdifficult to solve computer organization concepts

Actions 1.Additional classes to be conducted to introduce data structures concepts 2.Morecomputer organization to be taught in tutorial classes


PO 2 80% 70.72%

Attainment is low in the following subjects DataStructures, computer organization and automatatheory Observations : 1.Atainement level still it is70% we need to improve 2 Students find itdifficult to solve computer organization problems



PO 3 80% 70.72%

Attainment is low in the following subjects DataStructures, computer organization and automatatheory Observations : 1.Atainement level still it is70% we need to improve 2 Students find itdifficult to solve computer organization problems

Actions 1. Additional classes to be conducted to introduce data structures concepts 2. Morecomputer organization to be taught in tutorial classes 3. Practical approach of teachingprogramming to be adapted. 4. More problems will be given for practice for automata theory




PO 4 65% 55.78%


Actions 1. Additional classes to be conducted to introduce data structures concepts 2.Morecomputer organization to be taught in tutorial classes


PO 5 63.70% 58.33%

Attainment is low in the following subjects DataStructures, computer organization and automatatheory Observations: 1.Atainement level still it is58% we need to improve 2.Students find itdifficult to solve computer organization concepts3. Basic knowledge of addressing modes not wellunderstood

Actions 1.Additional classes to be conducted to introduce data structures concepts 2.Morecomputer organization to be taught in tutorial classes 3. Practical approach of teachingprogramming to be adapted.


PO 6 57.37% 30.50%




PO 7 60.42% 34.50%



PO 8 : Ethics

PO 8 53.43% 43.06%

Attainment is low in the following subjects DataStructures, computer organization and automatatheory Observations: 1.Atainement level still it is43% we need to improve 2.Students find itdifficult to solve computer organization concepts3. Basic knowledge of addressing modes not well





PO 9 58.05% 45.05%




PO 10 65.73% 72.70%




PO 11 58.86% 43.30%


Action 1: 1. More problems will be given for practice


PO 12 68.12% 55.85%

Attainment is low in the following subjects DataStructures, computer organization and automatatheory Observations: 1.Atainement level still it is45% we need to improve 2.Students find itdifficult to solve computer organization concepts3. Basic knowledge of addressing modes not well


POs Attainment Levels and Actions for Improvement-(2017-2018)

Pos Target Level AttainmentLevel

Observations

PO 1: Engineering Knowledge



PO 1 80% 70.72%Attainment is low in the following subjects Data

Structures, computer organization and automata

theory Observations: 1.Atainement level still it is

43% we need to improve 2.Students find it difficult

to solve computer organization concepts


PO 2: Problem Analysis



theory Observations : 1.Atainement level still it is

70% we need to improve 2 Students find it difficult

to solve computer organization problems


PO 3: Design/development of Solutions



theory Observations : 1.Atainement level still it is

70% we need to improve 2 Students find it difficult

to solve computer organization problems

Actions 1. Additional classes to be conducted to introduce data structures concepts 2. More

computer organization to be taught in tutorial classes 3. Practical approach of teaching

programming to be adapted. 4. More problems will be given for practice for automata theoryPO 4: Conduct Investigations of Complex Problems





to solve computer organization concepts

Actions 1. Additional classes to be conducted to introduce data structures concepts 2.Morecomputer organization to be taught in tutorial classesPO 5: Modern Tool Usage



PO 5 63.70% 58.33%Attainment is low in the following subjects Data




to solve computer organization concepts 3. Basic

knowledge of addressing modes not well understood

Actions 1.Additional classes to be conducted to introduce data structures concepts 2.Morecomputer organization to be taught in tutorial classes 3. Practical approach of teachingprogramming to be adapted.

PO 6 :The Engineer and Society





to solve computer organization concepts 3. Basic

knowledge of addressing modes not well

understood


PO 7: Environment and Sustainability



theory Observations: 1.Atainement level still it is 34%

we need to improve 2.Students find it difficult to

solve computer organization concepts

Actions 1.Additional classes to be conducted to introduce data structures concepts 2.More computerorganization to be taught in tutorial classesPO 8: Ethics


Structures, computer organization and automata theory

Observations: 1.Atainement level still it is 43% we

need to improve 2.Students find it difficult to solve

computer organization concepts 3. Basic knowledge of

addressing modes not well

Actions 1.Additional classes to be conducted to introduce data structures concepts 2.More computerorganization to be taught in tutorial classesPO 9: Individual and Team Work








addressing modes not well understoodActions 1.Additional classes to be conducted to introduce data structures concepts 2.More computerorganization to be taught in tutorial classesPO 10: Communication






addressing modes not well understoodActions 1.Additional classes to be conducted to introduce data structures concepts 2.More computerorganization to be taught in tutorial classes

PO 11: Project Management and Finance





computer organization concepts

Action 1: 1. More problems will be given for practicePO 12:Life-long Learning






addressing modes not well




CRITERION-9 Student Support Systems 50

9. STUDENT SUPPORT SYSTEMS (50)

9.1 Mentoring system to help at individual level (5)

Type of mentoring: Professional guidance/ career advancement/course work specific/ laboratory

specific/ all-round development. Number of faculty mentors: Number of students per mentor:

Frequency of meeting:

(The institution may report the details of the mentoring system that has been developed for the

students for various purposes and also state the efficacy of such system)

Mentoring System : Yes

Type of Mentoring : Total Development

Number of faculty mentors : 32

Number of students per mentor : 20

Frequency of meeting : Weekly

Details of the mentoring system

A faculty mentor is assigned to a group of 20 students to deal with their problems the mentor

maintains record of students. The mentor observes the overall growth of student and provides

counseling whenever required the mentor also makes sure to maintain a regular parent-teacher

dialogue.

Efficiency of such system

The system develops an interaction among the students, teachers and parents. The system helps to

improve the academic performance of the students. The system provides scope for healthy,

positive and stress free state of mind. Teachers are also becoming more responsive to the learner

needs day by day which is being reflected in the proctor diary maintained by the teacher. The

mentors meet the students periodically and monitor their performance and their activities.

Guidance regarding the lagging issues is provided. Occasionally tutor meeting with the parents is

conducted based on the requirement.

Professional Guidance:

The department is well equipped with knowledgeable Human resources in the form of members of

faculty who by keeping themselves of development, offer guidance to the prospective

professionals in addition to the classroom teaching. The Industry- institute Partnership cell and

Entrepreneurship development cell have been putting efforts in this direction.

Career advancement:

The Training and Placement cell has been active not only in arranging campus recruitment drives,

but also offering awareness and training for the students Course work. Members of faculty



handling different courses interact with students in clearing all their Concept-oriented and test

based mechanics of the respective courses. The teachers after first of formative evaluation guide

the students as far as student- specific gray areas are concerned.

Lab-specific:

Each of the lab sessions are handled by 3 Teachers in order to have special care for the students

while experiments are being handled. A demonstrative presentation is given by the teacher

concerned before every experiment. The Laboratory records are evaluated after the experiment is

held. In other words, there is active involvement of the members of faculty Pre-experiment stage,

at the time of experiment and after the experiment.

Total Development:

As stated above, the college puts forward efforts to realize total development of the student. In

addition to academics, literary, cultural and sports activities are conducted which offer leadership

qualities, decision making abilities, team spirit, precision, analytical capabilities, socio-

psychological awareness etc. which make an individual a intellectually mature being.

9.2. Feedback analysis and reward/corrective measures taken, if any (10)

Feedback collected for all courses: YES/NO; Specify the feedback collection process; Average

Percentage of students who participate; Specify the feedback analysis process; Basis of reward/

corrective measures, if any; Indices used for measuring quality of teaching & learning and summary

of the index values for all courses/teachers; Number of corrective actions taken.

Feedback collected for all courses (Yes/No): Yes

Specify the feedback collection process:

A standard feedback questionnaire is collected from the students every mid-semester course wise.

At the end of semester, department conduct end course survey in order to take the feedback about

the facilitators as well about the effectiveness of course.

Number of Feedback Items : 08.

Number of Feedback levels : 01 to 05.

Space for descriptive feedback/suggestion etc : Yes.

Any consistency check? : Yes.

Any performance/attendance profile : Yes.

Frequency of feedback collection : Once in a semester.

Feedback collection Hard-copy : Yes.

Average percentage of students who participates : 80%



Feedback analysis Process:

1. The feedback analysis is done manually

2. Collected feedback is scrutinized by the Assessment Committee-Program.

3. The feedback is quantified

4. All the parameters mentioned in the feedback form will be analyzed.

5. Ability of teaching with respect to each item and comprehensive ability of the teachers will be

analyzed

6. All the comments written by the students in the feedback forms will be communicated to the

respective faculty members along with their feedback levels to know their strengths and

weaknesses and to enhance their teaching skills.

Basis of reward/corrective measure:

1. Faculty members who get average feedback below 3 on 1-5 scale are identified and provided

with induction program and faculty development program in specified area.

2. Also the faculty members who get feedback more than 75% are appreciated by management

during Annual function

9.3. Feedback on facilities (5)

Assessment is based on student feedback collection, analysis and corrective action taken.

Assessment is based on student feedback collection, analysis and corrective action taken. Assessment

is based on student feedback collection, analysis and corrective action taken

1. Student’s feedback on facilities such as class room ambiance, furniture, OHP and tablet is

satisfactory.

2. Student’s feedback on facilities such as library, no of books to be increased. We have increase

purchase of books for central library.

3. Student’s feedback on facilities such as speed of internet to be improved. We have increased

the band width.

Methodology of Appraisal

Based on the feedback forms carried out following methodology is adaptedTable-WEIGHTAGE MATRIX

CategorySubjectPass%

Student

feedbackHOD

Co-Curricular

activities

Ex

curricular

activities

Administration Total

Staff 35 30 15 10 10 --- 100HOD 30 20 20 10 10 10 100VP --- 30 25 25 10 10 100



9.4. Self-Learning (5)

(The institution needs to specify the facilities, materials and scope for self-learning/ learning beyond

syllabus, Webinars, Podcast, MOOCs etc. and evaluate their effectiveness)

The curriculum offers courses like self-study, mini project, major projects where the topics are

self-selected or based on guide suggestion. The component of self-learning is evaluated in

these courses.

Seminars, conference, workshop & guest lecturers were organized.

In every lecture 5-10 minutes discussion on new technology and its application in real life that

is beyond the syllabus occasionally Past year projects & working models are made available to

students for improvement & innovation

Every student has to submit a home assignment in every course which has been evaluated for

10 marks. Some of these tasks are beyond syllabus to encourage out- standing students to

develop their self-learning capabilities.

Some of the tasks in the lab courses are challenge based which has to be solved by the students

on their own enhancing their skills.

Department library with sufficient number of volumes on core and application areas,

technology awareness journals are opened during college working hours. A state of art

Research & Development laboratory is opened for the students to develop applications and

projects.

E-notes has been prepared by the department faculty and maintained by the department faculty

for the development of students for all subjects in our department. We have appointed a faculty

coordinator for digital library for the development of student knowledge for updating their

curriculum

Apart from the above, the college actively promotes self-learning through the following

resources procured through NPTEL, QEEE and other Audio-Video content:

Following video lectures by the NPTEL for the benefit of the studentsSubject Id Discipline Name Subject Name Coordinators Institute

106101060Computer Scienceand Engineering

Design and Analysis ofAlgorithms

Prof. Abhiram G Ranade,Prof. Ajit A Diwan,Prof.Sundar Viswanathan

IIT Bombay


Software EngineeringProf. Rushikesh KJoshi,Prof. UmeshBellur,Prof. N.L. Sarda

IIT Bombay


Computer Architecture Prof. Anshul Kumar IIT Delhi

106102064 Computer Science Data Structures And Prof. Naveen Garg IIT Delhi



and Engineering Algorithms


Introduction to ComputerGraphics

Prof. Prem K Kalra IIT Delhi


Principles of ProgrammingLanguages

Prof. S. Arun Kumar IIT Delhi


Parallel Algorithm Prof. Phalguni Gupta IIT Kanpur


Design Verification andTest of Digital VLSICircuits

Prof. Jatindra KumarDeka,Dr. Santosh Biswas

IIT Guwahati


Computer Algorithms - 2 Prof. Shashank K. Mehta IIT Kanpur


Introduction to ProblemSolving and Programming

Prof. D. Gupta IIT Kanpur


Cryptography and NetworkSecurity

Dr. DebdeepMukhopadhyay

IIT Kharagpur


Real Time Systems Prof. Rajib Mall IIT Kharagpur


Artificial IntelligenceProf. Anupam Basu,Prof. S.Sarkar

IIT Kharagpur


Artificial Intelligence Prof. P. Dasgupta IIT Kharagpur


Computer Networks Prof. Sujoy Ghosh IIT Kharagpur


Data Communication Prof. Ajit Pal IIT Kharagpur


Internet Technology Prof. Indranil Sengupta IIT Kharagpur


Programming and DataStructure

Dr. P.P.Chakraborty IIT Kharagpur


Performance Evaluation ofComputer Systems

Prof. Krishna MoorthySivalingam

IIT Madras


Theory of Automata,Formal Languages andComputation

Prof. Kamala Krithivasan IIT Madras


Computer Graphics Prof. Sukhendu Das IIT Madras


Computer Organization Prof. S. Raman IIT Madras


Database DesignProf. D. Janaki Ram,Dr. S.Srinath

IIT Madras


Discrete MathematicalStructures

Prof. Kamala Krithivasan IIT Madras


Compiler Design Prof. Y.N. Srikanth IISc Bangalore

106108054 Computer Science Graph Theory Dr. L. Sunil Chandran IISc Bangalore



and Engineering


High PerformanceComputing

Prof. Mathew Jacob IISc Bangalore


Numerical Optimization Dr. Shirish K. Shevade IISc Bangalore


System Analysis andDesign

Prof. V. Rajaraman IISc Bangalore

DAAComputer Scienceand Engineering

Design and Analysis ofAlgorithms

Prof. C PratapMOOCSProgramme byJNTUK

WTComputer Scienceand Engineering

Web Technologies TCS ConsultantsMOOCSProgramme byJNTUK

DBMSComputer Scienceand Engineering

Database ManagementSystems

Prof. D JanikiramMOOCSProgramme byJNTUK

BDAComputer Scienceand Engineering

Big Data AnalyticsProf. D. Jankiram,I.I.T.Chennai.

MOOCSProgramme byJNTUK

9.5. Career Guidance, Training, Placement (10)

(The institution may specify the facility, its management and its effectiveness for career guidance

including counseling for higher studies, campus placement support, industry interaction for

training/internship/placement, etc.)

The Career guidance cell and Training & Placement department in coordination with Student section

Counsellors keeps students abreast with the opportunities of higher studies on regular basis. Posters,

circulars of all such opportunities are displayed on T&P notice board. The team for Career counseling

comprises of:

Career Guidance and Training activities conducted in 2017-2018

S.No Program Organized

Date-Month-

Year


% ofstudents

1 Special Training Programmeon Coding using C

28-11-2017Sri. K Gopala Reddy,Associate Professor, Deptof CSE, ASIST

90

2 Special Training programmeon “Databases” 09-11-2017

Sri. K Gopala Reddy,Associate Professor, Deptof CSE, ASIST

90

3Training Programme onComputer Networks andComputer Organization

24-11-2017Sri. P Ramesh Babu,Associate Professor, Deptof CSE, ASIST

90

4 Programme on “ResumeWriting” 28/09/2017 Sri. K. Rohit, Innogeecks

Technologies, Vijayawada90



5 Training Programme onAptitude

24-08-2017to

05-09-2017Sri. Md. Rafi, InnogeecksTechnologies, Vijayawada

90

6 Training Programme on SoftSkills

24-08-2017to

05-09-2017Sri. K. Rohit, InnogeecksTechnologies, Vijayawada

90


S.No

Program OrganizedDate-

Month-Year


% ofstudents

1Expert talk on Big data &Android

26-02-2016Ms. P Pavani, AssistantProfessor, Dept of CSE,ASIST

90

2Training on computerHardware

12-09-2015Mr. K Krishna,Vision TechnologiesVijayawada

90

3 Expert Talk on Bluemix 18-08-2015Sri. T Shankar, Trainer,Jawahar KnowledgeCentre, Hyderabad

90


S.No Program Organized

Date-Month-

YearResource Person with

Designation% of

students

1 Expert Talk on Android 20-12-2014Sri. M Satya Ratnam,Krishna Dist JKCCoordinator, JKC

85

2 Expert Talk on SQL 19-12-2014Sri. M Satya Ratnam,Krishna Dist JKCCoordinator, JKC

90

3Tainting on Office AutomationTools

12-12-2014Sk Khadar Baba,Purple Techno Solutions,Vijayawada

90

Placement – List of Companies and total students selected

List of selected students in On-campus in 2016-2017

S. No Regd No Name of the Student Company1. 13AJ1A0501 A. SWATHI PRIYA MAINTEC2. 13AJ1A0503 A. NAVYASREE MAINTEC3. 13AJ1A0518 CH. SOWJANYA INNOEYE4. 13AJ1A0543 K NAVYA INNOEYE5. 13AJ1A0570 M. SAI KIRAN TRIBRO SOFT TECH6. 13AJ1A0508 B. RAMANJANEYULU TRIBRO SOFT TECH7. 13AJ1A0550 M.JYOTHI MAINTEC8. 13AJ1A0573 S.S.N.SAI DEEKSHA MAINTEC9. 13AJ1A0571 S.LEELA RANI MAINTEC10. 13AJ1A0562 P.LAKSHMI MANASA MAINTEC11. 13AJ1A0570 M. SAI KIRAN MAINTEC12. 13AJ1A0536 K. NAGA MANI GAMMA13. 13AJ1A0507 A. SUKANYA GAMMA



14. 13AJ1A0563 P. NAVYA GAMMA15. 13AJ1A0539 K. DURGA BHAVANI GAMMA16. 13AJ1A0578 V. SAI SOWJANYA GAMMA17. 13AJ1A0579 V. TEJASWARI GAMMA18. 13AJ1A0501 A. SWATHI PRIYA GAMMA19. 13AJ1A0527 D. RAMYA KRISHNA GAMMA20. 13AJ1A0503 A. NAVYASREE GAMMA21. 13AJ1A0524 D. HANUSHA RANI GAMMA22. 13AJ1A0549 M.SINDHURA INNOEYE23. 13AJ1A0509 B.TRIVENI INNOEYE24. 13AJ1A0507 A.SUKANYA PAYTM25. 13AJ1A0524 D.HANUSHA RANI AVONTIX26. 13AJ1A0552 MD. HAFIZUNISSA FLIPKART27. 13AJ1A0518 CH. SOWJANYA FLIPKART28. 13AJ1A0543 K. NAVYA FLIPKART29. 13AJ1A0509 B.TRIVENI FLIPKART30. 13AJ1A0537 K.CHANDRAVATHI FLIPKART31. 13AJ1A0528 D.MANASA FLIPKART32. 13AJ1A0566 R.V.PADMA FLIPKART33. 12AJ1A0532 K. BALA BHARGAVA IBEON34. 13AJ1A0579 V. TEJESHWARI IBEON35. 13AJ1A0557 N. LAKSHMI PRASSANNA IBEON36. 13AJ1A0563 P. NAVYA AXIUS37. 13AJ1A0547 M.LAVANYA EFFTRONICS38. 13AJ1A0566 R.VENKATA PADMA EFFTRONICS39. 13AJ1A0504 CH.SOWJANYA EFFTRONICS40. 13AJ1A0543 K.NAVYA EFFTRONICS41. 13AJ1A0555 N.NALINI EFFTRONICS

List of selected students in On-campus of 2015-2016

S. No Regd No Name of the Student Company42. 12AJ1A0501 A.KEERTHANA MAINTEC43. 12AJ1A0510 CH.SOWMYA MAINTEC44. 12AJ1A0517 D.TULASI SRAVYA MAINTEC45. 12AJ1A0523 G.NAGA SUNITHA MAINTEC46. 12AJ1A0525 G.RAVALI MAINTEC47. 12AJ1A0538 K.HYNDAVI MAINTEC48. 12AJ1A0576 Y.RAMYA MAINTEC49. 12AJ1A0508 B.ANURADHA INFOSYS50. 12AJ1A0513 CH.RAMYA INFOSYS51. 12AJ1A0533 K.SRUJANA INFOSYS52. 12AJ1A0538 K.HYNDAVI INFOSYS53. 12AJ1A0517 D.TULASI SRAVYA WIPRO54. 12AJ1A0523 G.NAGA SUNITHA WIPRO55. 12AJ1A0519 D.SINDHURA WIPRO56. 12AJ1A0548 M.AHALYA WIPRO57. 12AJ1A0576 Y.RAMYA WIPRO58. 12AJ1A0540 K.SOWJANYA DELL59. 12AJ1A0531 K.SAILJA DELL60. 12AJ1A0526 G.SAI GIRIDHAR DELL



61. 12AJ1A0527 I.LAKSHMI DELL62. 12AJ1A0517 D.TULASI SRAVYA POLARIS63. 12AJ1A0548 M.AHALYA POLARIS64. 12AJ1A0542 K.GURU KIRAN POLARIS65. 12AJ1A0564 S.PAVAN KUMAR POLARIS66. 12AJ1A0563 S.SIVARAM PRASAD POLARIS67. 12AJ1A0536 K.RADHA AXIUS68. 12AJ1A0516 D.SRUTHI AXIUS69. 12AJ1A0515 SIRISHA AXIUS70. 12AJ1A0577 Y.LAVANYA AXIUS71. 12AJ1A0501 KEERTHANA AXIUS72. 12AJ1A0562 S.MOUNICA AXIUS73. 12AJ1A0551 CHAITANYA AXIUS74. 12AJ1A0528 MANASA AXIUS75. 12AJ1A0534 K.BHARGAVI AXIUS76. 12AJ1A0536 K.RADHA AVONTIX77. 12AJ1A0515 N.SIRISHA AVONTIX78. 12AJ1A0508 B.ANURADHA AVONTIX79. 12AJ1A0548 M.AHALYA AVONTIX80. 12AJ1A0502 G.PRATHYUSHA AVONTIX81. 12AJ1A0503 A.DHANA NAVYA AVONTIX82. 12AJ1A0516 D.SRUTHI AVONTIX83. 12AJ1A0522 G.SAHITHI AVONTIX84. 12AJ1A0510 CH.SOWMYA STSII85. 12AJ1A0517 D. TULASI SRAVYA INFOVIEW86. 12AJ1A0540 K. SOWJANYA INFOVIEW87. 12AJ1A0552 N.MOUNIKA SOLVERMINDS88. 12AJ1A0513 CH.RAMYA SOLVERMINDS89. 12AJ1A0549 M.GUPTA PRASAD SOLVERMINDS90. 12AJ1A0509 BELLAMKONDA JYOSNA SOLVERMINDS91. 12AJ1A0530 K.NAVYASREE SOLVERMINDS92. 12AJ1A0562 S.MOUNIKA SOLVERMINDS93. 12AJ1A0508 B.ANURADHA SOLVERMINDS94. 12AJ1A0538 K.HYNDAVI SOLVERMINDS95. 12AJ1A0539 K.NIKITHA MALLI SOLVERMINDS96. 12AJ1A0546 RANJITH SOLVERMINDS97. 12AJ1A0576 Y.RAMYA SOLVERMINDS98. 12AJ1A0544 K.VISHNU SAI SARAN SOLVERMINDS99. 13AJ5A0502 G. PRATHYUSHA GOOD THROUGH100. 12AJ1A0509 B. JYOSHTNA IONIDEA101. 12AJ1A0510 CH. SOWMYA IONIDEA102. 12AJ1A0501 K.N.L. KEERTHANA IONIDEA

S. No. Name Particulars1 Mr. P Chiranjeevi CGC Head

2 Mr. D N V S K Pavan Kumar Training In charge3 Mr. P Anil Kumar Departmental coordinator4 Mr. P Ramesh Babu Placement Officer5 Smt. Parveena Career guidance Counsellor



Functions of the Committee

1. To arrange Seminars / Workshops on Career opportunities

2. To arrange GATE/GRE/TOEFL / IELTS / GMAT / CAT coaching classes.

3. To conduct mock tests for competitive examinations.

4. To arrange interactive sessions between alumni and students.

5. To procure study material and make it available in the Library/Intranet.

6. Display of Posters, Notices relating to Opportunities

9.6. Entrepreneurship Cell (5)

(The institution may describe the facility, its management and its effectiveness in encouraging

entrepreneurship and incubation)(Success stories for each of the assessment years are to be mentioned)

In our institute entrepreneurship development cell is organizing workshop on entrepreneurship.

Through entrepreneurship development cell interaction with the entrepreneur is organized. Through

entrepreneurship development cell competitions are arranged for new innovative business ideas.

Entrepreneurship cell and incubation facility

The entrepreneurship Development Cell has been organizing workshops and seminar for the benefit

of students. The EDC Cell invites speaker, Entrepreneurs to share their experiences and also

invites professionals from Banks, Federation of Commerce and Industry to motivate and educate

students on Entrepreneurship.

Vision and Ideology of the E-Cell

a. Vision

To stimulate, support and sustain all initiatives and endeavors of students, which will lead to

generation of entrepreneurship based on Engineering and Technology

b. Ideology

To motivate and inspire students to take up the challenge of entrepreneurship

To equip them with necessary skills and provide all possible assistance

To promote creative thinking and an entrepreneurial mindset among the students

To promote innovations and help convert them into market accepted Products

3. Activities undergoing in E- Cell:

The E-cell Organizes lectures, workshops and seminars by renowned personalities from different

domains of expertise, competitions of various kinds etc. round-the-year in order to create

awareness and to sharpen business acumen of students and aspiring entrepreneurs. Mentor students /

new faculties who have business ideas by bringing expertise to their doorsteps.



The E-cell is network hub for students aspiring to be entrepreneurs and also play a role in team

building as a part of its mentorship. Mentoring the students at an early stage by giving proper

direction and necessary exposure would be crucial in converting technical ideas/projects into

viable business plans It is an interface between the entrepreneurial activity in institute and the

outside world, a consolidation of logistic and knowledge resources necessary to make a business plan

and set up an enterprise. Form permanent associations with professional bodies and

organizations, Universities, corporations, media etc. to facilitate exchange of ideas and to promote

entrepreneurial ventures. Knowledge partnerships will play an important role in engaging good

expertise for the benefit of entrepreneurial activity at institute. Associations with venture capital

firms and seed funds would be crucial in the setup of new ventures. To achieve the above objectives

the E-Cell will focus on some initiatives to foster the spirit of entrepreneurship in the following

steps:

Initiative -1:

Innovation Platform: It is aimed at nurturing innovation at the grassroots level, it is an organized

group of selected students getting together to discuss each other’s ideas. This discussion is now

being done on a wiki page. The discussion helps the students stay motivated to work on their idea

as well as helps build their idea into something feasible.

Initiative -2: In-house Events/competition:

To motivate student towards entrepreneurship, e-Cell will regularly conduct in-house competition of

various events such as business idea competition, case study competition, Business quiz, brand watch,

innovation approach, best out- of- waste competition, innovation approaches in IT industry,

new ventures lunched and their idea and profile, story writing of successful entrepreneur, Expose the

youth to the latest innovations and entrepreneurial success stories etc.

Initiative -3:

To connect the students with the start-ups through which start-ups get an opportunity to interact

with the students and pitch their ideas to the panel of Venture Capitalists and the students get

hired for summer internships.

Initiative -4: Promote E-Cell Brand

For Smooth functioning of E-cell and carry out strategic planning with aligning our vision and

mission and promote of E-cell, we should have team of following:

a. Patron Organization

Our endeavor will be find and make partner with National Entrepreneurship Network(

NEN),Department of Science and Technology, The Indus Entrepreneurs( TiE),NASSCOM,FICCI etc.

This will help to improve the brand value of Rungta Group as well as E-Cell of the Institutes.



b. Association with VC Panel

The VC PANEL will consist of leading Venture Capitalist firms of India which will support

entrepreneurial activity and innovation by financing new or growing businesses. The VC firms

associated with E-Cell will not only involved in financing the start ups, but also mentor the 'to be

entrepreneurs' and share their extensive knowledge and experiences. Their encouraging

involvements in E-cell activities will one of the major sources of inspiration and E-Cell will attain

new heights under their guidance and support.

c. Association with Corporate Panel:

Every entrepreneur knows the thrill of a great idea. They’ve felt the pride of nurturing a vision and

watching it grow. So, when it comes time for them to fly, they want people who share that spirit and

know what it takes to make a company succeed. Whether you are seeking investment to get your

idea off the ground or looking to fuel a proven idea toward greatness or advice on any

entrepreneurial issue, E-CELL is the organization which helps you make it happen at every stage. The

corporate panel of E-CELL consists of experts from every possible domain who have excelled in

their respective fields and have agreed to help out budding entrepreneurs.

d. Incubator Panel

The Entrepreneurship Cell maintains a strong panel of Incubators from across the country. The

panel aims to provide incubation facilities to B-plans from E-business, Information Technology

Domain, ICT, IT enabled service, IT Products, Production Engineering, Bio Engineering, Bio

Diversity, Paramedical, Power Generation, Automobile Engineering and other areas.

e. Faculty Advisory Panel (External and Internal)

The faculty panel of E-Cell will consists of faculty members from various institutes across India as

well as ASIST who have excelled in their respective fields and have agreed to help out budding

entrepreneurs.

f. Faculty Coordinator :

There will be faculty coordinator whose role will be to see day to day affair of E-cell and organize the

different events and competition. He will be responsible to promote E-Cell and will work

according the advice from Director and Advisory group of the cell. He will responsible to work

according to vision and mission of the cell. He will be responsible to prepare the document related

with E-Cell.

g. Student Team:

There is a student Coordinator, and Secretary cum treasurer from the student community, who will

work under the guidance of committee member. They will responsible monitoring E-cell activities and

initiatives. They remain in touch various students of E-cell and other Entrepreneurship network

establish in different institute.



h. Student Event management Team:

a. We have to identify core team group who will manage the day to day activities as well as

different event plan in a year. The ideal size will be 25 where there will be 2 boys and 2 girl

student from each branch.

9.7. Co-curricular and Extra-curricular Activities (10)

(The institution may specify the co-curricular and extra-curricular activities)(Quantify activities such

as NCC, NSS etc.)

For the overall development of the students, the institution is having RACE(Research Association for

Cyber Elitists) Association. It contains different committees like, cultural. Sports, language, alumni,

entrepreneurship, IT etc. under these committees various activities are arranged frequently. A

student’s newsletter and magazine SRUJANA is published to exhibit their talent for every quarterly

Extra-Curriculum Activities

S.NO EVENTS1 RANGOLI2 POETRY

WRITING3 MEHENDI4 ESSAY

WRITING5 DEBATE6 QUIZ7 JAM8 PAINTING9 SKETCHING10 COLLAGE

Co-curricular Activities

Engineers Day

Teachers Day

Quiz Competition

Tech Fest (ASIST- AAHWAAN)

Annual Magazine

Seminars,

Workshop,

Conference & Guest Lecture (at least once in a session in each department)

Institute is registered for NSS

NSS, & University Youth Festival for sports and cultural activities. Yearly excursion cum Industrial

tours is conducted for students wherein students are taken to various places of interest all over India.

This year it is planned to take a group to overseas destination as well. Tour In charges of various

departments coordinate entire activity.



Games and Sports facilities, and qualified sports instructors(5)

Outdoor –

1. Kabbadi

2. Volley Ball

3. Hand ball

4. Badminton

5. Cricket

6. Football

7. Kho-Kho

Indoor –

1. Chess

2. Carom

3. Table Tennis

4. Gymnasium

Extra-curricular activities are:

Activity Detail of activities

Annual Day

Extempore, Mehndi Competitions, Best Out Of Waste , Poster

Competition, Flower Arrangement, Salad Decoration , Classical Vocal

, Painting , Classical /Western / Folk / Fusion Dances, Clay Modeling

etc

Social activitiesBlood Donation Camps, Rallies on social issues, Swain Flu awareness

Camps and Tree plantation

Other Independence Day, Republic Day, Ganesh Nimarjanam

Inter College Competitions

(Engineering and non-

engineering )

Songs, Debate, Extempore, Just a minute session, Essay writing

competition, Tech Paper presentation.

Foundation Day Speech, Classical /western songs and Dances



10. GOVERNANCE, INSTITUTIONAL SUPPORT AND FINANCIAL RESOURCES (120)10.1. Organization, Governance and Transparency (40)

10.1.1. State the Vision and Mission of the Institute (5)(Vision statement typically indicates aspirations and Mission statement states the broad approach toachieve aspirations)

Vision:"Striving for a symbiosis of Technological excellence and human values."

Mission:"To arm young brains with competitive technology and nurture holistic development of theindividuals for a better tomorrow"

10.1.2. Governing body, administrative setup, functions of various bodies, service rules,

procedures, recruitment and promotional policies (10)

List the governing, senate, and all other academic and administrative bodies; their memberships,

functions, and responsibilities; frequency of the meetings; and attendance there in, in a tabular form. A

few sample minutes of the meetings and action-taken reports should be annexed. The published rules

including service rules, policies and procedures; year of publication shall be listed. Also state the

extent of awareness among the employees/students.

S.No. Name Capacity

1Sri Kudaravalli Ramesh Babu

MScChairman, Industrialist

2Sri Kudaravalli Ramamohana Rao

MScMember, Academician

3Sri Yanamadala Venkataramaiah

M.A,M.Ed,M.PhilMember, Academician

4Sri Kudaravalli Srinivasarao

BTechMember, Industrialist

5Sri Koratala Eswar Chand

M.ScMember, Academician

6 AICTE AICTE Ex-officio member

7Dr. V. Ravindra

B. Tech., M. Tech., Ph.DMember, Academician

8Sri N Seshgiri Rao

B. Tech., M. Tech.Member, Ex Principal Govt.Poly.Tech college

9Dr. P Chiranjeevi

MCA., M. Tech., Ph.D.Member, Assoc prof

10Dr. D. Haritha

B. Tech., M. Tech., Ph.D.Member, Prof

11Dr. M. Sasidhar

B. Tech., M. Tech., Ph.D.Member Secretary



Organization chart :

Academic Advisory Board

S.No. Name Particular

1 Dr. R Siva Ram Prasad Professor, Acharya Nagarjuna University

2 Dr. M S R Prasad Professor, K. L. University

3 Dr. M Babu Reddy Professor, Krishna University

College Academic Committee:

The academic activity of the institute is supervised by the College Academic Committee for

which, Principal is the Chairman and all heads of the departments and professors are members.

The Committee meets once in a fortnight to discuss the academic performance and to take

decisions on critical academic matters, The Minutes of this meeting is forwarded to the

Management. The salient points of the Academic Committee are made as agenda for Governing

Body.



Sr. No. Name Position Designation1 Dr. M. Sasidhar Chairman Principal2 Dr. P Chiuranjeevi Member Head, CSE4 Mr. S. M Rehman Member Head, EEE5 Mr. J S Suresh Member Head, ME7 Dr. A Sai Suneel Member Head, ECE8 Mr. Sk. Musa

KarimullaMember Head, MBA

9 Mr. M Rajesh Reddy Member Head, MCA10 Mr. Ch. Yuvaraj Member Head, Civil11 Mr.D Pavan Kumar Member Head, Humanities

The college has several committees instituted by the Director who also nominates the Coordinators of

the various committees with their duties and responsibilities. The committees are examination Cell,

Anti Ragging, Student Affairs, Disciplinary, Library, Website, Timetable, Sports & Cultural, Training

& Placement, College Newsletter, Women Welfare Committee and Girl Students’ Welfare Committee.

Examination CellDr. M. Sasidhar Chief superintendentMr. S M Rehman Additional Supt. ExamsMr. M Nataraj Assistant Supt. ExamsMr. T Kiran Kumar Member ExamsMr. B. Gangadhar Rao Member Exams

Student AffairsMr. V VinayKumar

In charge Student Development

Mr. M.Sivanjaneyulu

Office In-charge

Mr. M.Vijaykumar

Hostel & Mess coordinator

Anti Ragging Committee

Mr. M. Sivanjaneyulu Coordinator in charge

Mr. Sd Yasin Member

Mr. Ch Srinivasa Rao MemberMr. N VenkateswaraRao

Member

Anti Ragging Committee- Girls Hostel

Ms. A DurgaBhavani Coordinator in charge

Mrs K Archana Member

Apart from above there are committee’s for Vigilance, Anti-Ragging Committee for Bus routes.



Disciplinary Committee

Mr. M Sivanjayaneyulu Coordinator In charge

Mr. Ch Srinivasa Rao Member

Mr. N. Venkateswarao Member

Ms. K Archana Member

Mr. P. Ankamarao Campus Manager

Library CommitteeMr. R Srinivas co-coordinator In charge

Mr. G. Bharat kumar Member

Mr. K. Apparao Librarian

Mr. Giribabu P Member

Sd. Yasin Member

Time Table Committee

Mr. V. Vinaykumar coordinator in charge

Mrs. P. Durgabhavani MemberMr. M Rajesh Reddy MemberMr. Siva Rama Krishna Member

Institute has department level Time Table sub-committees who contribute to Institute timetable.

Sports &Cultural Committee

Mr. M. Vijay kumar Coordinator inchargeMr. B. Gangadharao Member CSE

Mr. P. Srinivasarao Sports coordinator

College Newsletter &Website Committee

Mr. P. Anil Kumar Coordinator in chargeMr. K. Swami MemberMr. J. Prabhudas Website Administrator

Female Staff & Girls students welfare Committee

Mrs. K Archana Coordinator in charge

Mrs. Ch. Srivani Member

Ms. K. Mrudhula Member

Similarly department level committees – constituted by the respective Heads – monitor the activities

of the departments like subject allocation, lab in-charges, time table, discipline, internal assessment,



academic performance, and monitoring the teaching-learning process.

TLP Monitoring CommitteeMr. Nataraj M Chem.Mr. Rama Krishna CivilMr. M Sivanjaneyulu CSEMr. Ch. Chinnaveraiah EEEMr. P. Sureshbabu MEMr. D Balaji Physics

Defined rules, procedures, recruitment, and promotional policies, etc

The college appreciates the importance of Human Resource to further propel the healthy growth rate

of the institute and hence constituted an exclusive HR Department that takes care of all spheres of

HR needs of the institute. Apart from fulfilling the man power requirement of the institute/group,

HR department ensures proper dissemination of policies amongst staff all cadres by ways of

orientation sessions for newly recruited staff along with maintenance of all records pertaining to

staff. HR department is also entrusted the responsibility of counseling the staff from time to time to

ensure that a healthy environment prevails in the institute and all staff work towards the desired

goals and objectives. Apart from having a published HR manual within the department, that details

the procedures relating to recruitment, promotion, career progression, increments etc, there are

detailed policies for:

Policy for Leaves available to staff of different cadre

Policy for Leave travel concession (LTC)

Policy for Medi claim for self, spouse and 2 kids of Rs. 100000/-

Policy for Attendance registration and Leave Application processing in Biometric Attendance

Recording. Policy for Early Leaving/Late Coming/Movement Outside Campus:

Promotional Policy for Ph.D. Program

Promotional Policy for Higher studies (M.Tech.) Promotion policy in time scale.

10.1.3. Decentralization in working and grievance redressal mechanism(10)

List the names of the faculty members who have been delegated powers for taking administrative

decisions. Mention details in respect of decentralization in working. Specify the mechanism and

composition of grievance redressal cell including Anti Ragging Committee & Sexual Harassment

Committee. List the names of the faculty members who have been delegated powers for taking

administrative decisions. Mention details in respect of decentralization in working. Specify the

mechanism and composition of grievance redressal cell including

Anti Ragging Committee & Sexual Harassment Committee.

The management has delegated its authority to the Principal to administer the institute on sound

principles. The principal in-turn has delegated the powers to Vice-Principal, the principal and HODs



of various academic departments. Principal looks after student performance and development. He

look after academic activities of the Institute as per the university requirements. Principal looks after

the co-curricular and extracurricular activities of the student community and ensures their

participation in maximum number of events to enhance their overall personality. Principal

concentrates upon research & development activities and initiatives and looks after the

developments taking place in various departments. Principal ensures that the examination systems

are foolproof and exams are conducted with full integrity. The principal are assisted by the Heads of

Dept. in all the matters of interest. The principal holds review meetings on monthly basis and

decisions are collectively taken on the issues pertaining to improvement and functioning of the

Institute. In-turn the Heads of the Departments conduct monthly faculty meetings within respective

departments and obtain the details pertaining to academic and non-academic and any student related

problems. Also all the teachers are student counselors and they are in constant touch with the

students through weekly meetings. The information collected by them is passed on to HODs who in

turn appraise the HODs and the principal. Thus the administration is transparent and trust-worthy

and facilitates smooth conduct and function of the Institute. All purchases are handled by a

Purchase committee who receive requisitions from various departments and the committee evaluates

the need, timeframe of supply, budgetary provisions and accordingly processes the purchases

requirements. The Committee is headed by Director and has senior faculties and administrators as

members. The principal in term a breasts the management about the purchases to be made and all

such proposals are finally put up in Governing Body meetings for Approval.

Financial power of the principal: 15 Lac for a single procurement

Financial power of the Vice-principal:10 Lac for a single procurement

Financial power of the HOD: 5 Lac for a single procurement. List of Faculty members who are

Administrators/Decision Makers

PG & Ph.D. Programme

Mr. M. Vijay Kumar M.Tech Programs

AcademicsDr. P Chiranjeevi Academics

Student SectionMr. M. Sivanjaneyulu Student Development

R&D

Mr. Sd Yasin in charge R&D



Data Collection & Newsletter

Mr. K. Swami Data Collection & NewsletterMr. P. Anilkumar Data Collection & NewsletterMr. B Dharma Raju Data Collection & Newsletter

A Grievance redressal committee has been constituted headed by Vice - Principal and its existence is

widely circulated. If any major grievance is there, that could not be solved at HOD level, can be

submitted to the Committee. The committee has HOD Humanities as Female member to look in to

the matters that could come in preview of sexual harassment. The committee will go into details and

gives its suggestions to the principal. Principal, in consultation with Management takes appropriate

steps for redressal. In charge - Student Development continuously interacts with student’s in various

platforms to identify student grievances and is brought to the notice of the committee for appropriate

action

10.1.4.Delegation of financial powers (10)Institution should explicitly mention financial powers delegated to the Principal, Heads of

Departments and relevant in-charges. Demonstrate the utilization of financial powers for each year of

the assessment years. Institution should explicitly mention financial powers delegated to the Principal,

Heads of Departments and relevant in-charges. Demonstrate the utilization of financial powers for

each year of the assessment years. All purchases are handled by a Purchase committee who receive

requisitions from various departments and the committee evaluates the need, timeframe of supply,

budgetary provisions and accordingly processes the purchases requirements. The Committee is headed

by principal and has senior faculties and administrators as members. The principal in term a breasts

the management about the purchases to be made and all such proposals are finally put up in Governing

Body meetings for Approval.

Financial power of the principal: 15 Lac for a single procurement

Financial power of the Vice-principal: 10 Lac for a single procurement

Financial power of the HOD: 5 Lac for a single procurement

10.1.5. Transparency and availability of correct/unambiguous in formation in public domain (5)

The college website and the Local College management software ensures that all information’s

pertaining to students, staff in the CMS to ensure that all stake holders are adequately informed about

the policies and procedures along with the developments taking place that could affect them.

All the information pertaining to the admissions, faculty and supporting staff details, student

attendance, internal marks, infrastructural facilities, details of programs, information related to

ongoing student training programs, faculty development programs, symposiums etc., are made

available in the college internet based CMS. All Minutes of Meetings like College Academic Council



(CAC), Department Review Meetings (DRM) and other information are displayed in the Bulletin

Board of CMS. The relevant details are available in the departmental files which are readily accessible

to all faculties in the departmental file racks.

10.2. Budget Allocation, Utilization, and Public Accounting at Institute level (30)

Summary of current financial year’s budget and actual expenditure incurred in Lakhs (for the

institution exclusively) in the three previous financial years.

Table 1 - CFY 2016-2017Total Income

1194Actual Expenditure

1068Total No. of

Students2180

Fee Govt. Grants

Others(Interest,Bus fees,

Misc. fees)

RecurringincludingSalaries

Non-Recurring

SpecialProjects (Land,Building, WIP

Expenditure perstudent

238 544 0 412 836 232 --- 0.54

Table 2 – CFYm1 2015-2016Total Income


1112Total No. of

Students1961

Fee Govt. Grants


Misc. fees)


Non-Recurring



211 519 0 383 834 278 --- 0.56



769.64Total No. of

Students1834

Fee Govt. Grants


Misc. fees)


Non-Recurring



228 465 0 185 577.15 192.49 --- 0.41



647Total No. of

Students1758

Fee Govt. Grants


Misc. fees)


Non-Recurring



211 443 0 154 468.5 178.5 --- 0.36

Total Income at Institute level: For CFY,CFYm1,CFYm2 &CFYm3CFY: Current Financial Year, CFYm1 (Current Financial Year minus 1),CFYm2 (CurrentFinancial Year minus 2)and CFYm3 (Current Financial Year minus 3)



ItemsBudgetedin 2016-2017

ActualExpensesin 2016-2017 till

Budgetedin 2015-2016






Laboratoryequipment

11 10.92 28 27.75 20 15.96 30 28

Salaries 562 560.08 575 570.02 400 388.87 300 296

Library 1.70 1.66 1.23 1.21 1.47 1.45 3.34 3.19

Transport 120 118 125 125 115 114.85 125 120

Maintenance 100 90.99 70 67.02 50 47 60 58

R & D 3 2.77 3 2.26 5 3.25 5 4.24

Training andTravel

23 21.04 20 16.23 10 9.48 5 3.15

ProjectExpo

0 0.0 3 2.35 5 4.25 5 3.25

GeneralExpenses

280 264.20 370 368.39 200 186.48 150 134.36

Total 1100.7 1069.66 1195.23 1113.21 806.47 771.09 683.34 650.19

10.2.1. Adequacy of budget allocation (10)(The institution needs to justify that the budget allocated during assessment years was adequate)Since the department is in growing phase, college management has made it a point that funds shouldnot be a hindrance factor for the healthy rate of growth. Adequate budget is allocated and expenditureis monitored. In no circumstances, teaching learning process is made to suffer because of fundshortage.

S.No. AssessmentYear

Budget Allocatedin Lakhs (Rs.)

Actual Expenditurein Lakhs (Rs.)

Adequate / NonAdequate

1 2016-2017 1100.7 1069.66 Adequate

2 2015-2016 1195.23 1113.21 Adequate

3 2014-2015 806.47 771.09 Adequate

4 2013-2014 683.34 650.19 Adequate

10.2.2. Utilization of allocated funds (15)(The institution needs to state how the budget was utilized during assessment years)

During last three years budget allocation and utilization is in order and no deficiency was observed




Percentage ofUtilization

1 2016-2017 1100.7 1069.66 97.17

2 2015-2016 1195.23 1113.21 93.13

3 2014-2015 806.47 771.09 95.61

4 2013-2014 683.34 650.19 95.14



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)

Institutional audit statements are available on the institute’s website

10.3. Program Specific Budget Allocation, Utilization (30)Total Budget at program level: For CFY, CFYm1, CFYm2 &CFYm3CFY: Current Financial Year, CFYm1 (CurrentFinancialYearminus1), CFYm2(CurrentFinancial Year minus 2) and CFYm3 (Current Financial Year minus 3).

Table 1 :: CFY 2016-2017

Total Budget15134363

Adequate Expenditure14386327.32

Total Number ofstudents

456Non-

recurringRecurring Non-recurring Recurring

Expenditure perStudent

1305529 13828834 1216103.82 13170223.5 31548

Table 2 :: CFYm1 2015-2016

Total Budget21755069

Adequate Expenditure20712991.2

Total Number ofstudents

397Non-

recurringRecurring Non-recurring Recurring

Expenditure perStudent

3619943 18135126 3341486.8 17371504.4 52173

Table 3 :: CFYm2 2014-2015Total Budget

13089214Adequate Expenditure

12278521.2Total Number of

students390

Non-recurring

Recurring Non-recurring RecurringExpenditure per

Student947286 12141928 874418.6 11404102.6 31483

Table 4 :: CFYm3 2013-2014Total Budget

6282761Adequate Expenditure

5986472.4Total Number of

students380

Non-recurring

Recurring Non-recurring RecurringExpenditure per

Student492632 5790129 454738 5531734.6 15753



ItemsBudgetedin 2016-

2017

ActualExpenses in2016-2017

till

Budgetedin 2015-

2016


Budgetedin 2014-

2015


Budgetedin 2013-

2014


Laboratoryequipment

1305529 1216103.82 3619943 3341486.8 947286 874418.6 492632 454738

Software 36347 29078 10181 8145 0 0 0 0

Laboratoryconsumable

32178 28603 102016 91570 131152 128453 163968 145750

Maintenanceand spares

603040 556652.7 553366 510800.2 499550 461123.2 230067 212370

R & D 250000 166955.6 64119 59187.6 20613 19027.8 127402 117602.8

Training andTravel

55414 51152.2 201123 185652.2 132478 126450.4 52388 48359

Salaries 9625871 9240837 10478967 10059809 7244747 6687459 4784296 4592925

Miscellaneousexpenses

3225984 3096945 6725354 6456340.4 4113388 3981589.2 432008 414727.8

Total 15134363 14386327.32 21755069 20712991.2 13089214 12278521.2 6282761 5986472.4

10.3.1. Adequacy of budget allocation (10)The yearly budget is prepared according to the needs & requirements of the departments taking into

consideration of annual intake of students, laboratory & infrastructure developments. Students,

faculty & staff requirements and promotions and latest technologies etc.,

Various departments submit the annual budget to principal. On receipt of such proposals,

principal, in consultation with departmental HODs, prepares a consolidated proposal. After

deliberations formal budget made altered in departments and forwarded to Principal for

preparing final budget at college level and submits it to the Governing Body for approval and

sanction.

The Management is approving almost 100% which was proposed by the institute. The budget

allocation and utilization for the last three years is adequate.

All the expenditure needs prior approval from the competent authority. Funds would be spent only

from the approved budget. If funds are required for expenses not mentioned in the proposal,

management’s approval is a must. Management ensures the adequacy of the funds from various

sources like, fee accrual, donation and bank loans.

Since the department is in growing phase, college management has made it a point that funds should

not be a hindrance factor for the healthy rate of growth. Adequate budget is allocated and expenditure

is monitored. In no circumstances, teaching learning process is made to suffer because of fund

shortage






Adequate / NonAdequate

1 2016-2017 15134363 14386327.32 Adequate

2 2015-2016 21755069 20712991.2 Adequate

3 2014-2015 13089214 12278521.2 Adequate

4 2013-2014 6282761 5986472.4 Adequate

10.3.2. Utilization of allocated funds (20)(Program needs to state how the budget was utilized during the last three assessment years)

During last three years budget allocation and utilization is in order and no deficiency was observed




Percentage ofUtilization

1 2016-2017 15134363 14386327.32 95.05

2 2015-2016 21755069 20712991.2 95.20

3 2014-2015 13089214 12278521.2 93.80

4 2013-2014 6282761 5986472.4 95.28

10.4. Library and Internet (20)(Indicate whether zero deficiency report was received by the Institution for all the assessment years.

Effective availability/purchase records and utilization of facilities/equipment etc. to be documented

and demonstrated)

10.4.1.Quality of learning resources (hard/soft)(10)Relevance of available learning resources including e-resources

Accessibility to students

Support to student’s for self-learning activities

Relevance of available learning resources including e-resources

Accessibility to students

Support to students for self-learning activities

Relevance of available learning resources including e-resources

Library Services Yes

Carpet area of library (in m2) 652

Reading space (in m2) 400

Number of seats in reading space 250

Number of users (issue book) per day 600

Number of users (reading space) per day 600

Timings: During working day, weekend, and vacation 8:00AM to 8:00PM &

9:00AM to 1:00PM

Number of library staff 6



Number of library staff with degree in Library 2

Management Computerization for search, indexing, issue/return records Bar coding used

Yes

Library services on Internet/Intranet INDEST or other similar membership Archives

Yes

Titles and volumes per title

YearNumber Of New

Titles AddedNumber Of NewEditions Added

Number Of NewVolumes Added

2014-2015 56 48 4842015-2016 59 44 9752016-2017 45 33 4362017-2018 36 27 325

Scholarly journal subscription

YearNo.of Technical

Magazines/Periodicals

No.of Total Technical

Journals subscribedScholarly JournalTitles(in originals,

reprints)In

HardcopyIn

Softcopy2014-2015 4 6 15

2015-2016 4 6 20

2016-2017 4 6 25

2017-2018 4 6 10

Support to students for self-learning activities

10.4.2.Internet(10)

Name of the Internet provider bsnl, My guru online

Available band width 54 mbps

Wi-Fi availability 5 mbps

Internet access in labs, classrooms,

library and offices of all DepartmentsYes

Security arrangements Yes

SELF ASSESSMENT REPORT

AMRITA SAI INSTITUTE OF SCIENCE AND TECHNOLOGY, Paritala

Declaration

(The head of the institution needs to make a declaration as per the format given)

I undertake that, the institution is well aware about the provisions in the NBA’s accreditation manual

concerned for this application, rules, regulations, notifications and NBA expert visit guidelines in

force as on date and the institute shall fully abide by them.

It is submitted that information provided in this Self Assessment Report is factually correct. I

understand and agree that an appropriate disciplinary action against the Institute will be initiated by

the NBA, in case any false statement/information is observed during pre-visit, visit, post visit and

subsequent to grant of accreditation.

Date : 30-12-2017 Signature & Name

Place : Vijayawada Head of the Institution with seal

SELF ASSESSMENT REPORT (S AR)Amrita Sai Institute of Science & Technology Amrita Sai Nagar,...

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