NBA-SAR-CSE.pdf

October 14, 2017 | Author: JEEVA | Category: Engineering, Computer Science, Evaluation, Educational Assessment, Curriculum
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SELF ASSESSMENT REPORT (SAR) FOR ACCREDITATION OF UG ENGINEERING PROGRAMME (Computer Science & Engineering) (TIER-II)

Submitted to

NATIONAL BOARD OF ACCREDITATION

New Delhi

AMAL JYOTHI COLLEGE OF ENGINEERING Koovappally P. O., Kanjirappally Kottayam Dst. Kerala

SEPTEMBER 2015

CSE - UG Tier II - SAR

Contents Title

Page No.

PART-A 1 Institutional Information

3

2 Departmental Information

12

3 Programme Specific Information

15

PART-B 1 Vision, Mission and Programme Educational Objectives

17

2 Programme Outcomes

28

3 Programme Curriculum

75

4 Students’ Performance

89

5 Faculty Contributions

102

6 Facilities and Technical Support

115

7 Academic Support Units and Teaching-Learning Process

124

8 Governance, Institutional Support and Financial Resources

151

9 Continuous Improvement

167 177

Declaration

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CSE - UG Tier II - SAR

Self Assessment Report (SAR) Part A

1. Institutional Information I.1. Name and address of the institution and affiliating university: (Instruction: The name, address of the institution, and the name of the university which has given affiliation to this institution, are to be listed here.) Amal Jyothi College of Engineering Koovappally P.O., Kanjirappally, Kottayam Dst., Kerala. PIN 686518 Affiliating University: Mahatma Gandhi University, Kottayam 686560/Kerala Technological University, Trivandrum, Kerala

I.2. Name, designation, telephone number, and e-mail address of the contact person for the NBA: (Instruction: The name of the contact person, with other details, has to be listed here.) Rev. Fr. Dr. Jose Kannampuzha Principal Telephones: O: 04282-305503; R: 048282-51136; M: 09447870275 E-Mail: [email protected]

I.3. History of the institution (including the date of introduction and number of seats of various programmes of study along with the NBA accreditation, if any) in tabular form: (Instruction: History of the institution and its chronological development along with the r e c o r d s o f past accreditation need to be listed here.)

Year

Description Institution established with the following programmes (intake) B. Tech. Computer Science and Engineering (45)

2001

B. Tech. Electrical and Electronics Engineering (45) B. Tech. Information Technology (45) B. Tech. Electronics and Communication Engineering (45)

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CSE - UG Tier II - SAR

Intake of B. Tech. CSE increased (60) Intake of B. Tech. EEE increased (60) 2002 Intake of B. Tech. IT increased (60) Intake of B. Tech. ECE increased (60) 2004 2005

Intake of B. Tech. ECE increased (90) Started B. Tech. in Mechanical Engineering (60) Started

2006

B. Tech Civil Engineering (60) Intake of B. Tech. ECE increased (120) NBA accreditation visits and accreditation for B. Tech. Electronics and Communication Engineering, and

2008

B. Tech. Electrical and Electronics Engineering Started MCA Programme (60) Started M. Tech. Communication Engg (18) Intake of B. Tech. CSE increased (90)

2009 Intake of B. Tech. ME increased (90) Started B. Tech. Automobile Engineering (60) M. Tech. Machine Design (18) 2010

M. Tech. Communication Engineering (24) M. Tech. in Power Electronics & Power systems (18) MCA lateral entry (60) Intake of B. Tech. Civil Engineering increased (90) Started

2011

M. Tech. Computer Science (18) Intake of B. Tech. Mechanical Engineering increased (120)

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CSE - UG Tier II - SAR

Started B. Tech. Metallurgy (60) 2012 M. Tech. (Civil) Structural Engg. & Construction Management (24) Intake of B. Tech. Civil Engineering increased (120) Started B. Tech. Chemical Engineering (60) 2013

M. Tech. Energy Systems (18) Intake of B. Tech. CSE increased (120) Intake of M. Tech. CSE increased (24) Started

2014

MCA Dual Degree (60) M. Tech. (Civil) Computer aided structural design (24)

2015

Started M. Tech. in Nanotechnology (24)

I.4. Ownership status: Govt. (central/state) / trust / society (Govt./NGO/Private) / private/ other: (Instruction: Ownership status of the institute has to be listed here.) Managed by the Catholic Diocese of Kanjirapally, Kottayam, Kerala

I.5. Mission and Vision of the Institution: (The institution needs to specify its Mission and Vision). Vision To be a center of excellence in technical higher education, research and support services, capable of making significant contribution to individual and societal empowerment. Mission To create technically qualified world-class professionals with social commitment through Careeroriented courses conducted by high profile faculties, complemented with globally Interactive learning processes and leading edge technology.

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CSE - UG Tier II - SAR

I.6. Organizational Structure: (Organizational chart showing the hierarchy of academia and administration to be included)

ORGANISATION STRUCTURE OF AJCE

Page 6

CSE - UG Tier II - SAR

DEPARTMENTS

Head of Departments

Professors

Assistant Professors

Associate Professors

Lab/Workshop Superintendent

Lab/Workshop instructors Tradesmen

I.7. Financial status: Govt. (central/state) / grants- in- aid / not- for- profit / private self - financing / other: (Instruction: Financial status of the institute has to be mentioned here.) Private self-financing

I.8. Nature of the trust/society: Also, list other institutions/colleges run by the trust/society (Instruction: Way of functioning and activities of the trust/society have to be listed here.) Diocesan Educational Trust, Kanjirapally having its office at Pastoral Centre, Kanjirappally, Kanjirappally Panchayathu, Ward IV, Building No.533 is the promoting body of the institution. The deed of the trust is made on 6th September, 2000 and registered under # 254 /2000 /4. The trust is promoted by the catholic diocese of Kanjirappally, a religious institution of the catholic Page 7

CSE - UG Tier II - SAR

denomination, which is a minority community, engaged in charitable activities for the benefit of the public, irrespective of caste, creed and community. Amal Jyothi College of Engineering, Kanjirappally is the only institution under this Trust.

I.9. External sources of funds: (Instruction: The different sources of the external funds over the last three financial years are to be listed here.) (All amounts in Lakhs of Rs.) Name of the external source

CFY

CFYm1

CFYm2

CFYm3

Loan from Banks

3551

3235

2129

1399

I.10 Internally acquired funds: (Instruction: The different sources of the internal funds over the last three financial years are to be listed here.) (All amounts in Lakhs of Rs.) Name of the internal source

CFY

Students’ fee

2387

2643

2260

1804

532

522

513

498

Refundable deposit

CFYm1 CFYm2

CFYm3

I.11 Were scholarships or any other financial assistance provided to students? (Instruction: If any scholarship or financial assistance has been provided to the students, then the details of such assistance, over the last three financial years, has to be listed here. Also, mention the basis for the award of such scholarship). The scholarships available to students are listed in the following Table.

Name /Nature of scholarship TFW TFW

GOVT. MGMT

CFYm3 2011-2012 Nos. 81 2

Amt 54.51 0.75

CFYm2 2012-2013 No. s 98 4

Page 8

Amt 67.26 2.00

CFYm1 2013-2014 No. s 113 7

Amt 84.75 4.625

CFY 2014-15 No. s 123

Amt 92.25

CSE - UG Tier II - SAR

AJECS MOMAMCM CSS PGGATE FISHER MEN SCHOL ARSHIP AJCE MERIT AJCE MERIT CUM MEANS CEELOW INCOM E VATTA KKUNN EL LINSA ANNIE LUKES JOY BALU S PILLAI LIZ SIMON SILVER ORDIN ATION SARAM MA IPE MEMOR IAL RODRIG UES MEMOR IAL VENGA L IPE MEMOR IAL PROF. VIJAYA

AJECS GOVT. GOVT. GOVT. AICTE

39

6.15

43

11.30

14

4.26

19

5.65

125

34.60

136

39.925

8

2.90

45

43.2

11

10.56

30

28.8

11

0.38

1

1.16

38

0.45

GOVT MGMT

32

0.48

49

0.49

22

0.22

43

7.97

57

7.56

MGMT

MGMT 4

0.075

4

0.075

4

0.075

4

0.08

2

0.1

2

0.1

2

0.1

2

0.10

2

0.1

2

0.1

2

0.1

2

0.10

1

0.05

1

0.05

1

0.05

1

0.04

1

0.02

1

0.01

1

0.02

1

0.02

EF EF EF EF EF

EF

EF

EF

EF EF Page 9

CSE - UG Tier II - SAR

N’S TFW: Tuition fee waiver; MOMA: Ministry of Minority Affairs; CSS: Central Sector Scholarships MGMT: Management; MCM: Merit cum Means; EF: Endowment Fund Basis of award of all the above scholarships: Merit or Merit cum annual income of parents.

I.12 Basis/criterion for admission to the institution: (Instruction: The basis/criterion for student intake has to be listed here.) All India entrance / state- level entrance / university entrance/12th standard mark sheet / others: State-level entrance: 50% of the seats are filled from the rank-list published by the Commissioner of Entrance Examinations, Government of Kerala. The other 50 % seats under Management quota are filled from the rank list prepared from the applications received by adding the marks scored by the candidates in Plus 2 examination (Mathematics + Physics + Chemistry) and the marks scored by them in the Entrance examination conducted by the Commissioner of Entrance Examinations, Govt. of Kerala.

I.13 Total number of engineering students: (Instruction: Total number of engineering students, both boys and girls, has to be listed here. The data may be categorized in tabular form under graduate or post graduate engineering, or other programme, if applicable.) CAY

CAYm1

CAYm2

CAYm3

Total no. of boys:

1612

1516

1350

1187

Total no. of girls:

1157

1160

1119

1040

Total no. of students:

2769

2676

2469

2227

CAY 2014-15

CAYm1 2013-2014

CAYm2 2012-13

CAYm3 2011-12

Total no. of boys:

86

59

61

51

Total no. of girls:

166

108

112

78

Total no. of students:

252*

167

173

129

Total number of other students, if any: MCA MCA Students

* 2014 -15 MCA includes MCA (Dual Degree), MCA (Lateral Entry) & MCA (Regular)

I.14 Total number of employees

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CSE - UG Tier II - SAR

(Instruction: Total number of employees, both men and women, has to be listed here. The data may be categorized in tabular form as teaching and supporting staff.) Minimum and maximum number of staff on roll in the engineering institution, during the CAY and the previous CAYs (1st July to 30th June): A.

Regular Staff

CAY Items Teaching staff in engineering Teaching staff in science & humanities Non-teaching staff

CAYm1

CAYm2

CAYm3

Min

Max

Min

Max

Min

Max

Min

Max

M

104

117

116

96

103

100

95

104

F

81

81

76

68

80

80

69

74

M

15

14

10

12

13

10

11

13

F

19

14

17

15

15

14

11

12

M

78

83

81

72

78

73

63

67

F

18

24

21

18

21

22

23

18

(Instruction: Staff strength, both teaching and non-teaching, over the last three academic years has to be listed here.) B.

Contractual Staff CAY Items Teaching staff in engineering

M

Teaching staff in science & humanities

M

Non-teaching staff

CAYm1

CAYm2

CAYm3

Min

Max

Min

Ma

Min

Max

Min

Max

4

4

2

4

2

2

2

2

F

F M F

Page 11

CSE - UG Tier II - SAR

II. Departmental Information II.1. Name and address of the department: COMPUTER SCIENCE AND ENGINEERING AMAL JYOTHI COLLEGE OF ENGINEERING KOOVAPPALLY P.O., KANJIRAPPALLY KOTTAYAM, KERALA II.2. Name, designation, telephone number, and e-mail address of the contact

person for the NBA: Prof. MANOJ T. JOY PROFESSOR and HEAD OF THE DEPARTMENT TELEPHONE NUMBER: 04828 305544(O), 9447661414(M) FAX NO: 04828251136 E MAIL: [email protected]

II.3. History of the department including date of introduction and number of seats of various programmes of study along with the NBA accreditation, if any: Programmes

Description Started with 45 seats in 2001

UG in Computer Science & Engineering

Intake increased to 60 in 2002 Intake increased to 90 in 2009 Intake increased to 120 in 2013

PG in Computer Science & Engineering

Started with 18 seats in 2011

MCA

Approved by AICTE in 2008

Intake increased to 24 in 2013

Started with 60 seats in 2009

II.4. Mission and Vision of the Department (The department is required to specify its Mission and Vision). Vision The Computer Science and Engineering department is committed to continually improve the educational environment in order to develop professionals with strong technical and research backgrounds.

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CSE - UG Tier II - SAR

Mission To provide quality education in both theoretical and applied foundations of Computer Science and Engineering. Create highly skilled computer engineers, capable of doing research and also develop solutions for the betterment of the nation. Inculcate professional and ethical values among students. Support society by participating in and encouraging technology transfer.

II.5. List of the programmes/ departments which share human resources and/or the facilities of this department/programme (in %): (Instruction: The institution needs to mention the different programmes which share the human resources and facilities with the department/programme being accredited.)

Level

Department/Programmes

UG Programmes of other Departments

PG Programmes

Sharing in % HR

Facilities

11.1

40

7.4

10

B. Tech Civil Engg

11.1

40

M. Tech

11.1

10

B. Tech Electronics and Communication Engineering B. Tech. Metallurgy

II.6. Total number of students: UG: 409 B. Tech CSE (4 Years) PG: 36 M. Tech CSE (2 Years)

II.7. Minimum and maximum number of staff on roll during the current and three previous academic years (1st July to 30th June) in the department: Items

CAY (2014-15) Min.

Max.

CAYm1 (2013-14) Min.

Max.

Page 13

CAYm2 (2012-13) Min.

Max.

CAYm3 (2011-12) Min.

Max.

CSE - UG Tier II - SAR

Teaching staff in the department Non-teaching staff Total

23

27

24

27

23

28

25

31

6

6

6

7

5

6

5

6

29

33

30

34

28

34

30

37

II.7.1. Summary of budget for the CFY and the actual expenditure incurred in the CFYm1, CFYm2 and CFYm3 (for the department):

Budgeted in CFYm3 (2011-12)

Actual Expenses in CFYm3 (2011-12)

Miscellaneous expenses for academic i ii Total

Actual Expenses in CFYm2 (2012-13)

Training and Travel

Budgeted in CFYm2 (2012-13)

Laboratory consumable Maintenance and spares

Actual Expenses in CFYm1(2013-14)

Software

Budgeted in CFYm1( 2013-14)

Laboratory equipment

Actual expenses in CFY (2014 -15)

Items

Budgeted in CFY 2014-15*

*All amounts in Lakhs of Rupees

20.34

1.88

7

3.38

5

22.91

5

2.72

3

2.97

3

3.69

Nil

Nil

Nil

Nil

1

0.5

2

0.45

2

0.50

1

0.5

1

0.68

0.1

0.84

1

0.44

0.70

0.46

0.1

0.07

0.08

0.08

0.08

0.07

0.07

0.06

1.5

0.95

1.5

0.85

1.25

0.65

0.12

0.06

27.04

6.35

14.59

9.27

9.33

24.63

6.69

3.8

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CSE - UG Tier II - SAR

III. Programme Specific Information III.1. Name of the Programme (List name of the programme, as it appears on the graduate’s certificate and transcript, and abbreviation used for the programme.) UG in Computer Science and Engineering (CSE)

III.2. Title of the Degree (List name of the degree title, as it appears on the graduate’s certificate and transcript, and abbreviation used for the degree.) Bachelor of Technology in Computer Science and Engineering (B. Tech. CSE)

III.3. Name, designation, telephone number, and e-mail address of the Programme Coordinator for the NBA: Prof. MANOJ T. JOY PROFESSOR and HEAD OF THE DEPARTMENT TELEPHONE NUMBER: 04828 305544(O), 9447661414(M) FAX NO: 04828251136 E MAIL: [email protected]

III.4. History of the programme along with the NBA accreditation, if any: Programme

Description Started with 45 seats in 2001.

UG in Computer Science & Engineering

Intake increased to 60 in 2002 Intake increased to 90 in 2008 Intake increased to 120 in 2013

III.5. Deficiencies, weaknesses/concerns from previous accreditations: N/A

III.6. Total number of students in the programme: B. Tech CSE (4 Years): 409

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CSE - UG Tier II - SAR

III.7.Minimum and maximum number of staff for the current and the three previous academic years (1st July to 30th June) in the programme: Items

CAY

CAYm1

CAYm2

CAYm3

Min.

Max.

Min.

Max.

Min.

Max.

Min.

Max.

Teaching staff in the department

23

24

27

26

23

25

19

25

Non-teaching staff

6

6

6

7

5

6

5

6

Total

29

30

33

33

28

31

24

31

III.8. Summary of budget for the CFY and the actual expenditure incurred in CFYm1, CFYm2 and CFYm3 (for this programme in the Department exclusively): *All amounts in Lakhs of Rupees Budgeted in CFY 2014-15*

Actual expenses in CFY (2014-15)

Budgeted in CFYm1(2013-14)

Actual expenses in CFYm1(2013-14)

Budgeted in CFYm2(2012-13)

Actual Expenses in CFYm2 (2012-13)

Budgeted in CFYm3(2011-12)

Actual Expenses in CFYm3 (2011-12)

Items

Laboratory equipment

4.09

0.52

5.00

2.94

3.00

16.55

3.00

2.21

Software

3.00

2.97

3.00

3.69

Nil

Nil

Nil

Nil

0.50

0.30

1.00

Nil

1.50

0.35

0.70

0.30

0.50

0.48

0.50

0.82

0.75

0.33

0.70

0.46

Travel

0.05

0.03

0.07

0.06

0.06

0.05

0.05

0.05

Miscellaneous expenses for academic activities

0.90

0.42

1.00

0.65

1.00

0.55

0.10

0.06

Total

9.04

4.72

10.57

8.16

6.31

17.83

4.55

3.08

Laboratory consumables Maintenance and spares

Page 16

CSE - UG Tier II - SAR

PART B

1. Vision, Mission and Programme Educational Objectives (75) 1.1. Vision and Mission (5) 1.1.1. State the Mission and Vision of the institute and department (1) (List and articulate the mission and vision statement of the institute and department) Institute Vision: To be a center of excellence in technical higher education, research and support services, capable of making significant contribution to individual and societal empowerment. Mission: To create technically qualified world-class professionals with social commitment through career-oriented courses conducted by high profile faculties, complemented with globally interactive learning processes and leading edge technology. Department Vision: The Computer Science and Engineering department is committed to continually improve the educational environment in order to develop professionals with strong technical and research backgrounds. Mission: To provide quality education in both theoretical and applied foundations of Computer Science and Engineering. Create highly skilled computer engineers, capable of doing research and also develop solutions for the betterment of the nation. Inculcate professional and ethical values among students. Support society by participating in and encouraging technology transfer. 1.1.2. Indicate how disseminated (2)

and

where

the

Mission

and

Vision

are

published

and

(Describe in which media, e.g. websites, curricula, books, etc. the mission and vision are published and how the same is disseminated among stakeholders) • Published in Institution Website  Web Link : http://www.ajce.in/amal-jyothi/courses/computer-science-and-engineering/csvision-mission/ • Posted Location: Poster in main foyer of Department (Divisional Block A Building). They are also prominently displayed on the departmental notice boards. • Catalogs of CSE department- Distributed during student admission and to industries for placement purposes. Apart from this, Mission and Vision are disseminated to all the stakeholders of the programmes Page 17

CSE - UG Tier II - SAR

through faculty meetings, parent meetings, Alumni meets and also through electronic media. 1.1.3. Mention the process for defining the Mission and Vision of the department (2) (Articulate the process involved in defining the mission and vision of the department from the mission and vision of the institute.) The department established the Vision and Mission through a consultative process involving the stakeholders, faculty of the department and Institutional Advisory Board as shown in Figure 1 below. In establishing the Vision and Mission of the department, the indicated steps were followed:

Figure 1. Process defining Department Vision & Mission

1.2. Programme Educational Objectives (15) 1.2.1. Describe the Programme Educational Objectives (PEOs) (2) (List and articulate the programme educational objectives of the programme under accreditation) Programme educational objectives are broad statements that describe the career and professional accomplishments that the programme is preparing graduates achieve within 3 to 5 years after graduation. The Programme Educational Objectives of the B. Tech CSE programme are: 1. Work productively as Computer Engineers, including supportive and leadership roles in Page 18

CSE - UG Tier II - SAR

multidisciplinary domain. 2. Participate in life-long learning through the successful completion of advanced degrees, continuing education, certifications and/or other professional developments. 3. Promote design, research, product implementation and services in the field of Computer Science and Engineering through strong technical, communication and entrepreneurial skills. 1.2.2. State how and where the PEOs are published and disseminated (2) (Describe in which media, e.g. websites, curricula, books, etc., the PEOs are published and how the same is disseminated among stakeholders) • Published in Institution Website  Web Link : http://www.ajce.in/amal-jyothi/courses/computer-science-and-engineering/ cs-peos-and-pos/ • Posted Location: Poster in main foyer of Department (Divisional Block A Building) They are also prominently displayed on the departmental notice boards. • Catalogs of CSE Department- Distributed during student admission and to industries for placement purposes. Apart from this, PEOs are disseminated to all the stakeholders of the programmes through faculty meetings, parent meetings, Almuni meets and also through electronic media. Each student receives a copy of the Programme Educational Objectives and Programme Outcomes as part of their student folder during the new student orientation programme. 1.2.3. List the stakeholders of the programme (1) (List the stakeholders of the programme under consideration for accreditation and articulate their relevance) Stakeholders/Constituencies For the development and assessment of the Program Education Objectives, the significant constituencies of the department were identified and a review/feedback process is in place to continuously improve the curriculum to which the Programme Educational Objectives are being met. To accomplish the program educational objectives the faculty identified the primary Computer Science Department constituencies consisting of the following groups: students, industry, faculty, alumni and parents. 1. Students: Students are the important constituents due to the fact that the major investment (both money and time) is envisaged in the students. Student evaluations and opinions are obtained through student exit surveys, course and project surveys. 2. Industry: The corporate input from industry representatives is considered essential in assessing student performance. The feedback from the employers is another milestone for the vision achievement. 3. Faculty: The faculty is the backbone in providing an excellent teaching-learning experience and the ultimate facilitator for engineering education. As a real facilitator, the faculty has an excellent opportunity to evaluate student deliverables. Evaluations of student performance in classes are used as assessment tools. Page 19

CSE - UG Tier II - SAR

4. Alumni: Alumni of the programme represent a much broader spectrum of individuals with a wide range of experience in their lives and careers. It is very important to include their feedback, through Alumni surveys, in evaluating the programme’s success in meeting its desired programme educational objectives. 5. Parents: Parents are another important stakeholder for the academic programme. The parent constituency contributes by providing valuable suggestions and feedbacks. 1.2.4. State the process for establishing the PEOs (5) (Describe the process that periodically documents and demonstrates that the PEOs are based on the needs of the various stakeholders of the programme) In accordance with NBA, Programme Educational Objectives are developed to be consistent with the Mission of the institution, the CSE Department, and the needs of the major constituencies of the programme: students, alumni, employers, parents and faculty. The process to establish and monitor the Programme Educational Objectives is pictorially shown in Figure 2.

Figure 2. PEO Definition & Assessment Process The Programme Educational Objectives were developed and approved by the Department

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Advisory Committee during the 2010 even semester based on the Institution, CSE Department Mission and Vision and the perceived needs of our constituents. These objectives are evaluated periodically using a variety of instruments including faculty, students, alumni and employer surveys, various faculty meetings, and industry advisory boards at the college and department levels. The results of the various surveys are analyzed by the Department Assessment Committee. We plan to review and revise the Programme Educational Objectives once in every four years. 1.2.5. Establish consistency of PEOs with Mission of the Institute (5) (Describe how the Programme Educational Objectives are consistent with the Mission of the Department.) The PEOs flow naturally from the missions of the department and the institution. All the three PEOs support the mission of the department as follows: Department Mission Components Quality technical education Skilled computer engineers Research Professional and Ethical values Social commitment

Programme Educational Objectives PEO1 PEO2 PEO3 X X X X X X X X X

1.3. Achievement of Programme Educational Objectives (20) 1.3.1. Justify the academic factors involved in achievement of the PEOs (5) (Describe the broad curricular components that contribute towards the attainment of the Programme Educational Objectives.) Curricular Components Basic Sciences Humanities Basic Engineering Discipline Core Discipline Electives Inter disciplinary subjects Project

1 X X X X X X X

PEO’s 2 X X X X X X X

3 X X X X X X X

1.3.2. Explain how the administrative system helps in ensuring the achievement of the PEOs (5) (Describe the committees and their functions, working processes and related regulations.) The various committees with their clearly defined functions exist for ensuring the attainment of PEOs and POs. All committees work in good coordination for the smooth functioning of the

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institute and the department which helps each stake holder to work towards the attainment of PEOs. Internal Quality Assurance cell • Assessment and evaluation at institutional level • Programme wise assessment semester/year • Continuous improvement initiatives Programme coordinator • Interacts and maintains liaison with key stake holders, students, faculty, Department Head and employer. • Interacting with course coordinators towards attainment of PEOs and POs and review/update the changes required for curriculum contents. • Conducts and interprets various surveys required to assess POs and PEOs. Course coordinator • Coordinates and supervise the faculty teaching the particular course. • Assess the attainment of COs (course outcomes) by conducting Course End Surveys and review/update the course delivery and assessment methods. • Recommend and facilitate workshops, development programmes, meetings or conferences for students and faculty to meet the COs. • Analyzes results of particular course and recommends the Programme coordinator and Head of the Department to take appropriate action. Programme Assessment Committee • Programme Assessment Committee consists of Program Coordinator, Course Coordinator and faculty representatives. • The committee monitors and evaluates the programme effectiveness and proposes necessary changes for the attainment of PEOs and POs. • Conducts and interprets various surveys required to assess POs and PEOs. • Prepares periodic reports/records on programme activities and progress and submits to Department Advisory Board(DAB). • Interact with students, faculty and other stakeholders in facilitating PEOs. Department Advisory Board • Initiates process for defining/revising department and programme goals, PEOs and POs. • Survey of department academic functioning. • Advice on improvements in functioning. • DAB include the HOD, Programme Coordinator, faculty representatives and the representatives of key stake holders. • DAB chaired by head of the department, receives the report of the Programme Assessment Committee and monitors the progress of the programme. • In addition there are the following individual positions by faculty members that handle specific tasks - Alumni Coordinator, Project-in-charge, Co-curricular Coordinators. • Conducts and interprets various surveys required to assess POs and PEOs.

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CSE - UG Tier II - SAR

Institutional Advisory Board • Review of the attainment of PEOs, POs and suggest improvements.

1.3.3. Indicate the additional co-curricular activities undertaken towards the attainment of the PEOs (10) The co-curricular activities are arranged at institute and department level every year towards the attainment of communication, technical and professional skills. The events covered under this are: • Placement training • GATE coaching • Lab and Practical Sessions • Project Exhibitions • Workshops • Technical talks, Guest Lectures • Seminars • National and international conference - Publications and Participations • Technical fest • Arts and other non technical events • Tour and Industrial visits - Exposure to advanced set up, technology, industrial discipline and ethics and nature of work • Event Volunteering - Enhance managerial and leadership qualities • Social Service Programme - Social Commitment • NSS Activities • Retreat and other renovation programmes • Entrepreneurship activities -I2U, IEDC • Professional Body activities-ISTE,CSI

1.4. Assessment of the achievement of the Programme Educational Objectives (25) 1.4.1. Indicate the tools and processes used in assessment of the achievement of the PEOs (15) Describe the assessment process that periodically documents and demonstrates the degree to which the Programme Educational Objectives have been attained. Also include information on: a) Listing and description of the assessment processes used to gather data upon which the evaluation of each Programme Educational Objective is based. Examples of data collection processes may include, but are not limited to, employer surveys, graduate surveys, focus groups, industrial advisory committee meetings, or other processes that are relevant and appropriate to the programme;

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Assessment Tools

Direct/Indirect

Alumni Survey

Remarks Alumni Survey conducted among alumni at the end of each academic year Employer Survey conducted among employers both as formal and informal mode of communication Student Exit Survey conducted among the graduates. Project Evaluation conducted among the students towards the end of their final year Course evaluation is collected from the faculty at the end of each semester. Modes of evaluation are End Semester Exam, Class Tests, Series Tests, Model Exams, Assignments, Attendance and Seminars.

Indirect

Employer survey

Indirect

Student Exit Survey

Indirect

Project Evaluation

Direct

Course Evaluation

Direct

The former two surveys will give broad idea about attainment of PEOs by alumni while latter three will help the department to find out how students and faculty are moving towards developing those aspects in students and implement corrective measures so that attainment of PEOs within 3-5 years of their graduation happens. The inputs from different stakeholders are obtained in survey forms where they to give their judgment in the scale of 1 to 5 for the attainment of each of the three PEOs. b) The frequency with which these assessment processes are carried out. Assessment Tools

Frequency

Stakeholders

Alumni Survey

Yearly

Alumni

Employer survey

Every two years

Employer

Student Exit Survey

Yearly

Graduates

Project Evaluation

Yearly

Students

Course Evaluation

Twice an Year

Students

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Coordinating Committee Department Advisory Board(DAB) Department Advisory Board(DAB) Programme coordinator Department Advisory Board(DAB) Department Advisory Board(DAB)

CSE - UG Tier II - SAR

1.4.2. Provide the evidence of the achievement of the PEOs (10) a) The expected level of attainment for each of the programme educational objectives; b) Summaries of the results of the evaluation processes and an analysis illustrating the extent to which each of the Programme Educational Objectives is being attained; and c) How the results are documented and maintained.

PEOs

Assessment Tool

Alumni Survey

PEO1 Employer Survey Project Evaluation

Student Exit Survey

Alumni Survey PEO2

Employer Survey

Performance Metrics Engineering knowledge Problem analysis Design/Development of Solutions and Investigations of complex problems Use of modern tools Societal, Environment and Sustainability awareness Ethics and Professional responsibilities Individual and Team work Project management Technical knowledge Individual and Team work/Leadership qualities Overall performance Rubrics

Expected Level of Attainment/Goal (%)

75%

20%

60%

Engineering knowledge Problem analysis Design/Development of Solutions and Investigations of complex problems Ethics and Professional responsibilities Individual and Team work Societal, Environment and Sustainability awareness Ethics and Professional responsibilities Lifelong learning Members of Professional Societies/organizations Higher Studies/Attending

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75%

75%

20%

CSE - UG Tier II - SAR

Workshops/Conferences etc. Other Professional development since graduation Project Evaluation Student Exit Survey PEO3

Alumni Survey

Employer Survey

Project Evaluation Student Exit Survey

Rubrics

60%

Societal, Environment and Sustainability awareness Ethics and Professional responsibilities Lifelong Learning Problem analysis Design/Development of Solutions and Investigations of complex problems Communication skills Project management Communication skills Design/Development of project Overall performance

75%

75%

20%

Rubrics

60%

Problem analysis Design/Development of Solutions and Investigations of complex problems Communication skills Project management

75%

Figure 3: Results of PEO Evaluation Attainment % Page 26

CSE - UG Tier II - SAR

Documentation of Results:All the data files of Project Evaluation, Exit Surveys and Employer Survey are placed in Department office. Alumni Survey data is collected through Google Docs which was send through email.

1.5. Indicate how the PEOs have been redefining in the past (10) (Articulate, with rationale, how the results of the evaluation of the PEOs have been used to review/redefine the PEOs) The process is initiated by Department Advisory Board, and assessed by the Assessment Committee during PEOs assessment and attainment process. • To redefine, the existing PEOs assessment results are gathered through direct and indirect assessment methods like Alumni, Employer and Student exit surveys. • Results of the survey are tabulated and reviewed at the next Department Advisory Board meeting. Based on these results, recommendations for any changes in PEO or how those PEO’s are evaluated are solicited from advisory committee members. • These recommendations are reviewed by Assessment committee, and based on identified curricular gaps appropriate changes in curriculum and PEOs are made. • The process to monitor Programme Educational Objectives is pictorially shown in Figure 2.

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2. Programme Outcomes (150) 2.1. Definition and Validation of Course Outcomes and Programme Outcomes (25) 2.1.1. List the Course Outcomes (COs) and Programme Outcomes (POs) (2) (List the course outcomes of the courses in programme curriculum and programme outcomes of the programme under accreditation) Programme Outcomes After completion of the course, B. Tech Computer Science and Engineering graduates will have an ability to: 1 Apply knowledge of mathematics, science, engineering fundamentals and computer science and engineering for the solution of engineering problems. 2 Investigate, design and conduct experiments, analyze and interpret data, make inferences from the resulting data and apply the research skills to provide valid conclusions. 3 Design and construct a computing system , component or process to meet desired needs, within realistic constraints such as economic, environmental, social, political, health & safety and sustainability 4 Make effective use of modern tools and techniques for modeling complex engineering activities. 5 Understand the impact of engineering practices on all aspects of environment and society and to demonstrate the knowledge of and need for sustainable development. 6 Work as professionals in accordance with the norms of computer engineering practices and commit to social, ethical and professional responsibilities. 7 Demonstrate the management and engineering principles, to work as a team member and/or leader in multidisciplinary areas of engineering 8 Communicate effectively through written and oral modes to all levels of society. 9 Understand and apply project management techniques, tools and practices to plan manage and complete a project. 10 Recognize the need for, and have the preparation and ability to engage in independent and lifelong learning. Course Outcomes Semester 1 & 2 Sl. Subject No. 1 Engineering Mathematics I

Code EN010101

Course Outcomes CO[1] Understand the use of matrix algebra techniques this is needed by engineers for practical applications. CO[2] Understand the application of derivatives in more than one variable and also find the derivatives higher orders.

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2

Engineering Physics

EN010 102

3

Engineering Chemistry & Environmental Studies

CS010 103

4

Engineering Mechanics

EN010104

CO[3] Have a fundamental understanding of double integration, triple integration and visualize the concept of volume . CO[4] Apply different techniques to solve ordinary differential equations. CO[5] Take Laplace transformation of different types of functions, derivatives and integrals, and how it converts complex systems into simple algebraic equations to find out solutions. CO [1] Find Innovative solutions to real world issues in Physics and Computer Science. CO [2] To design, fabricate, produce test and supervise the manufacture the complex products and systems for a no. of industries like computer industry. CO [3] Supervise manufacturing process and oversee installation and maintenance. CO [4] To work with microprocessors, fibre optics and in telecommunication, television and radio. CO [5] To the interdisciplinary aspects of nanoscience by integrating important components of the broad research field together. CO [1] A Systematic approach to solve problems. CO [2] An Analytical reasoning/thinking. CO [3] Both of the above will provide a computational thinking like abstraction, hierarchical modelling. CO [4] Knowledge in chemistry helps the students to use their software/professional skills in the areas of research and analytical chemistry in the future (eg. Computational chemistry) CO [1] Develop the ability to work comfortably with basic engineering mechanics concepts required for analysing static structures. CO [2] Identify an appropriate structural system to studying a given problem and isolate it from its environment, model the problem using good free-body diagrams and accurate equilibrium equations. CO [3] Identify and model various types of loading and support conditions that act on structural systems. CO [4] Understand the meaning of centres of gravity (mass)/centroids and moments of Inertia.

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5

Engineering Graphics

EN010 105

6

Basic Civil Engineering

EN010 106

7

Basic Mechanical Engineering

EN010 107

CO [5] Apply equations for straight line motion to solve problems with variable acceleration. CO [6] Analyze dynamic problems using work energy and impulse momentum techniques. CO [1] Students will be able to prepare and understand drawings. CO [2] The drawing skills of students will be improved. CO [3] By studying Engineering Graphics students will be able to visualize three dimensional objects and that will enable them to design new products. CO [4] The students will be able to describe the details of objects, machine parts etc and represent them in a drawing. CO [1] Get a general idea on the varieties and cost of construction materials available in the market, their manufacture processes and types. CO [2] Understanding on the different parts of buildings and its construction practices making him eligible to analyse a construction work. CO [3] Get the idea about different foundations practically used and about the structural significance of the same. CO [4] Get the concepts on surveying and surveying results like maps, remote sensing, GPS, GIS etc. CO [5] Understand the basics of transportation engineering, sanitary engineering, building regulations and modern concepts of building construction. CO [1] Students become interested in the field of mechanical engineering and understand its relevance in the industry. CO [2] By learning the basics, the student will be able to appreciate the importance of this subject. CO [3] Student gets a better idea about Thermodynamics, Heat transfer, IC engines and its fundamentals. CO [4] Student will get basic idea about power transmission systems CO [5] The student will understand the basics of working of turbines and pumps CO [6] Student can understand the working of

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machine tools and manufacturing process 8

Basic Electrical Engineering

EN 010 108

CO [1] Solve the electrical networks mathematically. CO [2] Achieve elementary knowledge of electromagnetism. CO [3] Distinguish between DC and AC circuits and analyse them. CO [4] Achieve elementary knowledge of Electric machines. CO [5] Apply different energy conservation measures and create social awareness on home energy management.

9

Basic EN010 109 Electronics Engineering and Information Technology

CO [1] Identify the main component of a computer and input output devices/drivers. CO [2] Identify the different types of memory. CO [3] Differentiate the function of system software and application software. CO [4] Basic working of a computer network and different type of networks. CO [5] Identify IP Address and its working with DNS. CO [6] Understand the methods to analyse and characterize basic Electronic circuits and components like transistors, Diodes, OP-AMP etc.. CO [7] Understand various frequency bands, analog modulation techniques, principles related to the operation and concepts of Satellite and mobile Communication. CO [8] Know about electronic measuring instruments, Transducers, and consumer electronics. CO [9] Understand the basic idea about components of a digital computer, its programming, different computer networks, internet and IP addressing.

Semester 3 Sl. Subject No. 1 Engineering Mathematics II

Code

Course Outcomes

EN010301 B

CO[1] Have the ability to solve integer problems effectively, and apply the properties of integers for Computer Applications. CO[2] The student will be able to apply Graph Theoretical knowledge in solving Network problems, optimization problems and many

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2

Economics and Communication Skills

EN010 302

3

Problem Solving and Computer Programming

CS010 303

4

Computer Organization

CS010 304

5

Switching Theory and Logic Design

CS010 305

other important areas in Computer Science. CO [1] Ability to communicate effectively. CO [2] Ability to function on multi disciplinary teams. CO [3] Ability to understand current economic situations and economic problems of the nation. CO [4] Ability to understand the effects of economic policy and the changes in the industrial sector. CO [5] Understand the performance of the IT sector. CO [1] Describe fundamentals of programming such as variables, conditional and iterative execution, methods, etc. CO [2] Analyze and solve programming problems using a procedural and algorithmic approach with functional decomposition. CO [3] Apply knowledge of computing and mathematics using simple data structures. CO [4] Develop skill to use pointers, memory allocation and data handling through files in ‘C’. CO [5] Understand the process of compiling, linking, and running a program using a computing tool. CO [1] Understand the digital representation of data and differentiate between number systems and codes. CO [2] Outline the organisation of a computer system in terms of its main components. CO [3] Describe and demonstrate the detailed operation of electronic logic elements of a simple microprocessor. CO [4] Identify the various parts of a system memory hierarchy with cost performance tradeoffs in designing memory hierarchy and instruction sets. CO [1] Identify the different number systems, codes and will be able to simplify the Boolean expressions. CO [2] Analyze the performance of combinational logic circuits for different operations. CO [3] Design and analyze the performance of sequential and clocked sequential logic Circuits. CO [4] Design and identify the application of counters and shift registers. CO [5] Understand the concepts of the faults tolerance

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6

Electronics Devices and Circuits

CS010 306 (EC)

Semester 4 Sl. Subject No. 1 Engg.Maths-III

EN010 401

2

CS010 402

Object Oriented Programming

and diagnosis and characteristics of digital IC families. CO [1] Ability to design power supplies and DC regulator circuit using zener diode. CO [2] Ability to explain basic circuits like dc and biasing circuits, small-signal ac circuits with emphasis on single-stage amplifier. CO [3] Ability to analyze and design circuits with operational amplifiers (OP-AMPs). CO [4] Ability to understand the operation of a 555 timer IC. CO [5] Ability to conduct experiments involving electronic devices and circuits.

Code

Course Outcomes CO [1] Analyze the different types of Fourier series and Parseval’s relation and also understand the Harmonic analysis. CO [2] Differentiate Half range and Finite cosine and sine transforms and application of Parseval’s identity and convolution theorem for Fourier transforms. CO [3] Identify the difference between the partial and linear differential equations and analysis through their four different types. Formation of Lagrange’s equation. CO [4] Analyze the different type of probability distributions and its applications in engineering stream. CO [5] Form samples from collections and test the different properties based on sample taken from population called testing. CO [1] To demonstrate the differences between traditional structured design and objectoriented design. CO [2] To understand the role of inheritance, polymorphism, dynamic binding and generic structures in building reusable code. CO [3] Map an object-oriented program design into the class and template model of C++. CO [4] Apply traditional error and exception handling mechanisms in C++ for creating efficient codes. CO [5] To distinguish programming constructs

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between JAVA and C++. 3

Data structures and Algorithms

CS010 403

4

Signals and Communication Systems

CS010 404(EC)

5

Microprocessor Systems

CS010 405

6

Theory of Computation

CS010 406

CO [1] Identify, understand and determine the usage of various data structures, operations and associated algorithms. CO [2] Analyze and compare the efficiency of algorithms. CO [3] Implement applications using basic data structures such as array, stack, queue and linked list. CO [4] Understand the concept of trees and graphs and their implementation using basic data structures and algorithms. CO [5] Able to implement standard algorithms for searching and sorting. CO [1] Familiarize with the elementary signals. CO [2] Analyze the difference between analog and digital communication systems . CO [3] Understand the different types of modulation techniques. CO [4] Understand the concept of amount of information, channel capacity, error-detection and error-correction codes. CO [5] Apply information theory and coding to modern communications technology. CO [1] To understand the fundamentals of Microprocessor systems. CO [2] To describe the instruction set of Microprocessor system. CO [3] To apply the programming techniques in designing simple assembly language programs for solving problems. CO [4] To identify the different types of interrupts in 8085. CO [5] To understand the various data transfer schemes in 8085. CO [6] To describe a typical I/O interface and apply a combination of hardware and software to address a problem. CO [1] Recall and identify different concepts of set theory, proving techniques and also be able to explain the language classifications. CO [2] Analyze and prove the equivalence of languages and illustrate how to design finite state machines and convert regular expressions

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CSE - UG Tier II - SAR

to FSA. CO [3] Construct pushdown automata and demonstrate the construction of context free grammars. CO [4] Demonstrate the construction of a Turing Machine. CO [5] Classify the problems based on their complexity. Semester 5 Sl. Subject No. 1 Engineering Mathematics IV

Code EN010501 B

2

Principles of Management

EN010 502 (ME)

3

Database Management Systems

CS010 503

Course Outcomes CO [1] Evaluate real integrals using contour integration and residue theory. CO [2] Use numerical methods of integration and differentiation for solving various problems. CO [3] Use Z-transforms to solve various differential and integral equations which are used in various engineering areas. CO [4] To use various numeric functions and generating functions to solve various problems in Mathematics and Engineering. CO [5] Provide the student with a rigorous framework with which to model and analyze queueing systems. CO [1] Understand the fundamentals of management and perform effectively as a leader. CO [2] Understand the functions and duties an individual should perform in an organization. CO [3] Communicate effectively to all levels of society. CO [4] Have base level knowledge on financial management CO [5] Understand the impact of engineering solutions in a global economic &societal context. CO [6] Understand the different aspects of personnel management. CO [1] State the importance of DBMS and describe fundamental elements of a relational data models. CO [2] Master the basics of SQL and construct queries using SQL, Relational Algebra and Calculus and apply query processing and optimization CO [3] Develop skills to use a commercial relational

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CSE - UG Tier II - SAR

4

Digital Signal Processing

CS010 504 (EC)

5

Operating Systems

CS010 505

6

Advanced CS010 506 Microprocessors & Peripherals

database system (Oracle) and indexing methods by writing SQL using the system. CO [4] Apply design principles for logical design of databases, including the E‐R method and normalization approach. CO [5] Identify the basic issues of transaction processing, concurrency control ,recovery techniques. CO [6] Enhance team work by design and development of a database application system. CO [1] Understand the fundamentals of LTI – DSP systems. CO [2] Understand Transforms (DFT, DTFT, FFT) in digital domain. CO [3] Familiarize Convolution and its relation with linear convolution. CO [4] Understand design of FIR & IIR filters and realization schemes. CO [5] Learn about the working of DSP processors and various applications, recent trends in DSP and practical exposure to applications. CO [1] Differentiate the working of an operating system and its components. CO [2] Describe process management and analyze the synchronization process. CO [3] Identify the working methodology of multithreaded applications and distinguish different scheduling algorithms. CO [4] Identify the reasons of deadlocks, and their remedial measures in an operating system. CO [5] Understand different memory management techniques used in operating systems. CO [6] Classify different file systems and apply the knowledge earned into various operating systems. CO [1] Understand the architecture and software aspects of microprocessor 8086. CO [2] Outline the basic features of advanced microprocessors including 80286, 80386, Pentium, Intel, AMD. CO [3] Identify the different peripheral devices and recognize the need of different bus standards like PCI and USB. CO [4] Classify different storage devices and

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understand the operations performed. CO [5] Distinguish different memory organization for peripheral devices. Semester 6 Sl. Subject No. 1 Design and Analysis of Algorithm

Code CS010 601

2

Internet Computing

CS010 602

3

System Software

CS010 603

Course Outcomes CO [1] Describe, apply and analyze the complexity of certain divide and conquer, greedy, and dynamic programming algorithms. CO [2] Identify and analyze criteria and specifications appropriate to new problems, and choose the appropriate algorithmic design technique for their solution. CO [3] Describe the classes P, NP, and NP-Complete and be able to prove that a certain problem is NP-Complete. CO [4] Demonstrate a familiarity with major algorithms and data structures and write rigorous correctness proofs for algorithms. CO [1] Fundamental study and demonstrate the ability to employ repetition constructs in a Java program. CO [2] Understand object oriented programming concepts, packages, interfaces, exception handling and applying the concepts of multithreading. CO [3] Develop Input/output handling capability with applets and graphical user interfaces in Java programs. CO [4] Implementation of client–server networking in Java by applying TCP, UDP and RMI. CO [5] Develop an understanding about advanced Java applications. CO [1] Understand the basic concepts, conditions and mechanisms to create system software. CO [2] Understand functions of single and multi-pass assemblers through assembly language concepts. CO [3] Understand the pre-processing, linking and loading of programs. CO [4] Describe about the working of text editors and debuggers. CO [5] Differentiate between device drivers and outline its working.

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4

Computer Networks

CS010 604

5

Software Engineering

CS010 605

6

Unix Shell Programming

CS010 606 L04

Semester 7 Sl. Subject No.

CO [1] Develop a fundamental understanding of network design principles and performance metrics. CO [2] Understand the data link-layer concepts, protocols, and services and basic concepts of wired and wireless networks. CO [3] Distinguish packet switching and circuit switching techniques. CO [4] Understand different network interfaces and routing techniques for IP based networking infrastructure. CO [5] Develop mechanisms for effective network management, congestion control and congestion avoidance in the internetwork. CO [6] Apply the knowledge earned into various application level services like email, www etc. CO [1] Understand different process models and concepts such as design lifecycles, cost estimation techniques, and testing methods. CO [2] The student will able to relate and outlines the engineering process of software and will be able to explain, apply in software development process. CO [3] Enhance team work, critical thinking and communication skills to construct a software of high quality. CO [4] Develop skills to make use of tools that helps in software specification, design, testing, and maintenance. CO [1] Have a fundamental understanding about the development of open source software, basic architecture of UNIX. CO [2] Have a thorough understanding about the different Flavours of UNIX. CO [3] Develop skills to use UNIX tools like grep, sed, awk etc for large scale text processing. CO [4] Create small to medium sized shell scripts to complete various computing tasks. CO [5] Understand the Graphical User Interface of LINUX / UNIX systems.

Code

Course Outcomes

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1

Web Technologies

CS010 701

2

Compiler Construction

CS010 702

3

Computer Graphics

CS010 703

4

Object Oriented Modeling and Design

CS010 704

CO [1] Define the various steps in creating a dynamic webpage. CO [2] Understand the use of CSS for effective customized web pages. CO [3] Analyze and create XML documents and XML schema. CO [4] Design and build interactive web pages using PERL and PHP. CO [5] Develop skills to generate rail applications with databases and ajax. CO [1] Identify and understand different phases and passes of Compiler and their functioning. CO [2] Understand lexical, syntax and semantic analysis processes. CO [3] Understand and define the role of lexical analyzer, use of regular expression and transition diagrams. CO [4] Understand Finite state machine and use Context free grammar, and parse tree construction. CO [5] Understand the working of lex and yacc compiler for debugging of programs. CO [6] Determine code generation and optimization techniques. CO [7] Apply error detection and correction methods. CO [1] Understand the working of contemporary graphics hardware. CO [2] Create interactive graphics applications in C++ using one or more graphics application programming interfaces. CO [3] Apply geometrical transformations on graphical problem solving. CO [4] Develop skill to generate computer graphics animation software. CO [5] Describe and demonstrate 2D and 3Dgraphics processing techniques. CO [1] Analyze system requirements and apply model for problem domains. CO [2] Evaluate the model by performing analysis process. CO [3] Design and build object-oriented systems with different architectural frameworks. CO [4] Implement object-oriented design with suitable algorithms. CO [5] Develop skill to demonstrate object oriented

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5

Principles of programming languages

CS010 705

6

Client server architecture and Applications

CS010 706l06

Semester 8 Sl. Subject No. 1

High Performance Computing

system design in the Unified Modelling Language (UML). CO [1] Understand the concept and applications of different programming languages. CO [2] Develop skill to create a new programming language. CO [3] Outline the pre requisites for creating a new programming language. CO [4] Develop an understanding about advanced programming language techniques. CO [5] Design basic algorithms in implementing simple programming languages in hardware and software developments. CO [1] Describe the history of web-based client-server architecture concepts. CO [2] Outline the concepts of security on securing Client-Server system. CO [3] Understand the use of Windows NT and NetWare OS. CO [4] Describe about multitasking, synchronization and network communication in client-server systems CO [5] To have exposure to applications of ClientServer system.

Code CS010 801

Course Outcomes CO [1] Classify and describe the operation of parallel computer architectures. CO [2] Understand the basics of pipelining and related design issues. CO [3] Outline advanced concepts in multiprocessor architecture and interconnection networks. CO [4] Understand the concepts of parallelism especially inter process communication and synchronization. CO [5] Discriminate between various design alternatives of dataflow computers.

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2

Artificial Intelligence

CS010 802

3

Security in Computing

CS010 803

4

E-Commerce

CS010 804 L01

CO [1] Understand the problem spaces, problem solving and learning methods in artificial intelligence. CO [2] Develop skill to create small to medium sized programs in Python. CO [3] Apply basic artificial intelligence algorithms to solve problems. CO [4] Analyse how uncertainty is being tackled in the knowledge representation and reasoning process, in particular, techniques based on probability theory and possibility theory (fuzzy logic). CO [5] Master the skills and techniques in machine learning, such as decision tree induction. CO [1] Understand the fundamental security features in Computing. CO [2] Apply modular arithmetic and fundamental properties of finite field to cryptographic techniques. CO [3] Describe basic concepts and algorithms of cryptography, including encryption/decryption, hash functions, digital signature. CO [4] Make assessment on the network, web security of cryptographic functions, and evaluate their strength. CO [5] Identify and classify system security threats and develop a security model to prevent, detect and recover from attacks. CO [1] Demonstrate an understanding of the foundations and importance of E-commerce. CO [2] Describe the network infrastructure and security needed for E-commerce. CO [3] Analyze the impact of E-commerce on business models and strategy. CO [4] Assess electronic payment systems. CO [5] Use the conventional approaches that are widely used in E-Commerce applications and the current ideas that are applicable to the Electronic Commerce world.

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5

Software Architecture

CS010 805 G04

CO [1] Design and understand software architecture for large scale software systems. CO [2] Recognise major software architectural styles, design patterns, and frameworks. CO [3] Understand the formal definition of a number of architectures and be able to reason precisely about the properties of those architectures. CO [4] Describe a software architecture using various documentation approaches and architectural description languages. CO [5] Identify the architectural alternatives and connectors for a problem and select among them.

2.1.2. State how and where the POs are published and disseminated (3) (Describe in which media (e.g. websites, curricula, books, etc.) the POs are published and how the same is disseminated among stakeholders) • Published in Institution Website  Web Link: http://www.ajce.in/amal-jyothi/courses/computer-science-and-engineering/cspeos-and-pos/ • College Calendar • Posted Location: Poster in main foyer of Department (Divisional Block A Building) They are also prominently displayed on the departmental notice boards. • Catalogs of CSE department- Distributed during student admission and to industries for placement purposes. We communicate our PEOs to the stakeholders especially employers and Alumni through electronic media and meetings.

2.1.3. Indicate the processes employed for defining of the POs (5) (Describe the process that periodically documents and demonstrates that the POs are defined in alignment with the Graduate Attributes prescribed by the NBA.) The Computer Science & Engineering programme requires that students completing a B.Tech degree acquire the skills necessary to succeed in the engineering profession. The necessary skills were identified and approved by the faculty, students, and the Advisory Board. These requirements must also meet the Graduate Attributes established by NBA for Engineering programmes. To make sure that the skills are delivered to the students, Programme Outcomes were established along with the perceived needs of our stakeholders and are related to the programme’s Educational Objectives (PEO). Direct and Indirect assessment methods were conducted to determine if the Programme Outcomes were achieved. If they are not achievable, necessary modifications in curriculum and teaching learning process are recommended by the Department Advisory Board. The process for establishing and monitoring of POs are shown in the Figure 4. Page 42

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Figure 4. PO Definition & Assessment Process 2.1.4. Indicate how defined POs aligned to Graduate Attributes prescribed by the NBA (10) (Indicate how the POs defined for the programme are aligned with the Graduate Attributes of the NBA as articulated in accreditation manual.) The Graduate Attributes of Engineering Programmes as identified by NBA (January 2013) are: 1. Engineering knowledge: Apply the knowledge of Mathematics, Science, Engineering fundamentals, and an engineering specialization to the solution of complex engineering problems. 2. Problem analysis: Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences. 3. Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations. 4. Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and

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synthesis of the information to provide valid conclusions. 5. Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations. 6. The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice. 7. Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development. 8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice. 9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings. 10. Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions. 11. Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments. 12. Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change. Mapping between GAs and POs Programme Outcomes NBA Graduate Attributes 1 2

Engineering knowledge Problem Analysis Design/development of 3 solutions Conduct investigations 4 of complex problems 5 Modern Tool usage The Engineer and 6 Society Environment and 7 sustainability 8 Ethics Individual and team 9 work 10 Communication

PO1 X

PO2

PO3

PO4

PO5

PO6

PO7

PO8

X X

X

X X X X X X X

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Project management and finance 12 Lifelong learning 11

X X

2.1.5. Establish the correlation between the POs and the PEOs (5) (Explain how the defined POs of the programme correlate with the PEOs) Programme Educational Objective

PO1

PO2

PO3

PEO 1

X

X

X

Programme Outcomes PO4 PO5 PO6 PO7 x

PEO 2 PEO 3

X

X- Strong Mapping

X

X

x

X

X

X

x

x

PO8

X

PO9

PO10

x X X

X

x-Weak Mapping

2.2. Attainment of Programme Outcomes (40) 2.2.1. Illustrate how course outcomes contribute to the POs (10) (Provide the correlation between the course outcomes and the programme outcomes. The strength of the correlation may also be indicated.)

Semester 1 & 2 Engineering Mathematics I (EN010 101) PROGRAMME OUTCOME

COURSE OUTCOME

1

2

CO [1]

S

S

CO [2]

S

S

CO [3]

S

S

CO [4]

S

S

CO [5]

S

S

3

4

5

6

7

8

9

10

9

10

Engineering Physics (EN010 102) PROGRAMME OUTCOME

COURSE OUTCOME

1

2

3

4

5

6

7

8

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S

CO [1] S

CO [2]

M M

CO [3]

M

CO [4]

M S

CO [5]

M

S

Engineering Chemistry & Environmental Studies (EN010 103) PROGRAMME OUTCOME

COURSE OUTCOME

1

2

CO [1]

S

S

CO [2]

S

S

CO [3]

M

M

CO [4]

3

4

S

M

5

6

7

8

9

10

M

Engineering Mechanics (EN010104) PROGRAMME OUTCOME

COURSE OUTCOME

1

2

3

4

5

6

7

8

9

10

CO [1]

S

M

M

M M

CO [2]

S

M

S

M M

CO [3]

S

S

S

M M

CO [4]

S

M

M

M M

CO [5]

S

M

S

M

M M

CO[6]

S

M

S

M

M M

Engineering Graphics (EN010105) PROGRAMME OUTCOME

COURSE OUTCOME

1

2

CO [1]

S

CO [2]

M

CO [3]

S

3

4

5

6

7

8

9

S S

10

S M

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CO [4]

M

S

S

M

9

10

Basic Civil Engineering (EN010 106) PROGRAMME OUTCOME

COURSE OUTCOME

1

2

3

CO [1]

4

5

6

7

8

M M M

M M

CO [2]

M M

CO [3]

S

CO [4]

M

CO [5]

S

M M M

M M

M

M M

Basic Mechanical Engineering (EN 010 107) PROGRAMME OUTCOME

COURSE OUTCOME

1

CO [1]

S

CO [2]

S

CO [3]

S

2

4

5

6

7

8

9

10

9

10

S M S

CO [4] CO [5]

3

S

S

M

Basic Electrical Engineering (EN 010 108) PROGRAMME OUTCOME

COURSE OUTCOME

1

2

3

4

5

CO [1]

S

S

S

CO [2]

S

S

S

CO [3]

S

S

S

CO [4]

S

M

S

S

CO [5]

S

S

S

S

6

7

8

M

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Basic Electronics Engineering and Information Technology (EN010 109) PROGRAMME OUTCOME

COURSE OUTCOME

1

2

3

4

CO [1]

S

CO [2]

S

CO [3]

S

M

CO [4]

S

S

CO [5]

S

M

CO [6]

M

6

7

8

9

10

9

10

M

M

CO [7]

M

CO [8]

M

CO [9]

5

S

M

Semester 3 Engineering Mathematics II (EN010301 B) PROGRAMME OUTCOME

COURSE OUTCOME

1

2

3

4

5

6

7

8

CO [1]

S

S

M

M

CO [2]

S

S

M M

M

Economics and Communication Skills (EN010 302) PROGRAMME OUTCOME

COURSE OUTCOME

1

2

3

4

5

6

7

8

9

CO [1]

M M

CO [2]

M M

CO [3]

S

CO [4]

S

CO [5]

M M

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Problem Solving and Computer Programming (CS010 303) PROGRAMME OUTCOME

COURSE OUTCOME

1

CO [1]

S

CO [2]

M

CO [3]

S

2

3

4

5

6

7

M

S

8

9

10

S M

CO [4]

S

CO [5]

M S

S

Computer Organization (CS010 304) PROGRAMME OUTCOME

COURSE OUTCOME

CO [1]

1

2

S

S

CO [2]

3

4

5

6

7

8

9

10

9

10

S

CO [3]

S

CO [4]

S S

M M M

Switching Theory and Logic Design (CS010 305) PROGRAMME OUTCOME

COURSE OUTCOME

1

CO [1]

3

4

5

6

7

8

S

CO [2] CO [3]

2

S S

CO [4]

S S

CO [5]

S

M

S

Electronics Devices and Circuits (CS010 306(EC)) PROGRAMME OUTCOME

COURSE OUTCOME

1

2

3

4

5

6

7

8

9

Page 49

10

CSE - UG Tier II - SAR

CO [1]

S

S

S

CO [2]

S

S

S

CO [3]

S

CO [4]

S

CO [5]

S

M M

S M S

S

M

Semester 4 Engineering Mathematics -III (EN010 401) PROGRAMME OUTCOME

COURSE OUTCOME

1

2

3

4

5

6

7

8

9

10

CO [1]

S

S

CO [2]

S

S

CO [3]

S

S

CO [4]

S

S

CO [5]

S

S

S

M

S S

Object Oriented Programming (CS010 402) PROGRAMME OUTCOME

COURSE OUTCOME

CO [1]

1

2

S

S

3

CO [2]

S

S

CO [3]

M

S

CO [4] CO [5]

4

5

6

7

8

9

10

S S

S

M

M

Data structures and Algorithms (CS010 403) PROGRAMME OUTCOME COURSE OUTCOME

1

2

3

4

5

6

7

8

9

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10

CSE - UG Tier II - SAR

CO [1]

S

CO [2]

S

CO [3]

S

S M

CO [4] CO [5]

S S

S

M

Signals and Communication Systems (CS010 404(EC)) PROGRAMME OUTCOME COURSE OUTCOME

1

2

CO [1]

S

S

CO [2]

S

M

CO [3]

M M

CO [4]

S

S

3

4

6

7

8

9

10

9

10

M M

CO [5]

5

S

Microprocessor Systems (CS010 405) PROGRAMME OUTCOME COURSE OUTCOME

1

2

CO [1] CO [2]

M

CO [3]

S

CO [4]

M

S

3

4

S

S

5

6

7

8

S S

M

M

S

CO [5]

S

M

CO [6]

S

S

S

M

M

M

M

Theory of Computation (CS010 406) PROGRAMME OUTCOME COURSE OUTCOME

CO [1] CO [2]

1

2

S

S S

3

4

S

S

5

6

7

8

9

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10

CSE - UG Tier II - SAR

CO [3]

M

CO [4] CO [5]

S

S

S

S

S

S

S

S

S

S

S

Semester 5 Engineering Mathematics IV (EN010501 B) PROGRAMME OUTCOME COURSE OUTCOME

1

2

3

4

5

6

7

8

9

10

CO [1]

S

M

M

CO [2]

S

M

M

CO [3]

S

M

M

CO [4]

S

M

M

M

CO [5]

S

S

M M

M

Principles of Management (EN010 502(ME)) PROGRAMME OUTCOME COURSE OUTCOME

1

2

3

4

5

6

7

CO [1]

8

9

M

S

CO [2]

S

CO [3]

10

M

M

CO [4] CO [5]

M

CO [6]

M

Database Management Systems (CS010 503) PROGRAMME OUTCOME COURSE OUTCOME

1

CO [1]

M

CO [2]

S

CO [3] CO [4]

2

3

4

5

6

7

8

9

S

M

S

S M

S S

S M

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10

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CO [5]

M

CO [6]

S

S

S

M

Digital Signal Processing (CS010 504 (EC)) PROGRAMME OUTCOME COURSE OUTCOME

1

2

3

4

5

6

7

8

9

10

CO [1]

S

S

S

M

S

CO [2]

S

S

S

M

S

CO [3]

S

S

S

M

S

CO [4]

S

S

S

M

S

CO [5]

S

S

S

M

S

Operating Systems (CS010 505) PROGRAMME OUTCOME COURSE OUTCOME

CO [1]

1

2

M

4

M

CO [3]

S

CO [4]

6

7

8

9

10

S S

M

S M

5

S

CO [2]

CO [5]

3

S

M

S

S

CO [6]

M M

S

Advanced Microprocessors & Peripherals (CS010 506) PROGRAMME OUTCOME COURSE OUTCOME

CO [1] CO [2]

1

M

2

3

4

S

S

S

CO [3] CO [4] CO [5]

5

6

S

M

7

8

9

S

S S S

10

M

M

M

S

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Semester 6 Design and Analysis of Algorithm (CS010 601) PROGRAMME OUTCOME COURSE OUTCOME

1

2

CO [1]

S

S

CO [2]

M

S

CO [3] CO [4]

3

4

5

6

S

M

7

8

9

10

S

S

M

S

S

Internet Computing (CS010 602) PROGRAMME OUTCOME COURSE OUTCOME

1

2

CO [1]

S

S

CO [2]

M

CO [3]

M

CO [4]

3

S

4

5

S

S

S

S

CO [5]

6

7

8

9

10

S M

S

M

M

S

S

M

9

10

System Software (CS010 603) PROGRAMME OUTCOME COURSE OUTCOME

1

2

CO [1]

S

S

CO [2]

M

S

CO [3]

S

S

CO [4] CO [5]

3

4

5

6

7

8

M M M

S

M

M

S

S

Computer Networks (CS010 604) PROGRAMME OUTCOME COURSE OUTCOME

1

2

3

4

5

6

7

8

9

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10

CSE - UG Tier II - SAR

CO [1]

S

CO [2]

S

CO [3]

M

S M S

M

CO [4]

M

CO [5]

S

S

S S

CO [6]

S

M

S S

Software Engineering (CS010 605) PROGRAMME OUTCOME COURSE OUTCOME

1

2

3

CO [1]

M

S

CO [2]

M

4

5

S

CO [3]

S

CO [4]

S

6

7

S S

8

9

10

S M

S

S

M

Unix Shell Programming (CS010 606 L04) PROGRAMME OUTCOME COURSE OUTCOME

1

CO [1]

S

CO [2]

M

CO [3]

S

2

3

4

5

6

7

8

9

S

10

M S

M

CO [4]

S

S

S

CO [5]

S S

M

S

Semester 7 Web Technologies (CS010 701) PROGRAMME OUTCOME COURSE OUTCOME

CO [1] CO [2]

1

2

3

M

S S

4

5

6

7

8

9

S

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10

CSE - UG Tier II - SAR

S

CO [3]

M

CO [4]

S

CO [5]

M

M

S

S

S

Compiler Construction (CS010 702) PROGRAMME OUTCOME COURSE OUTCOME

1

2

CO [1]

M

S

CO [2]

S

M

CO [3] CO [4]

3

4

5

6

7

8

9

S S

M

S

M

CO [5]

10

S

S

M M

CO [6]

S

CO [7]

S

Computer Graphics (CS010 703) PROGRAMME OUTCOME COURSE OUTCOME

1

CO [1]

2

3

M

S

CO [2] CO [3]

S S

4

5

7

8

9

10

M S

M

M

S

M M

S

CO [4] CO [5]

6

S

S

S

M

Object Oriented Modeling and Design (CS010 704) PROGRAMME OUTCOME COURSE OUTCOME

1

2

CO [1] CO [2] CO [3]

S

3

4

S

S

5

6

7

8

M

S

S

9

M S

M

M

S

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10

CSE - UG Tier II - SAR

CO [4]

S

CO [5]

S

M

S

S

Principles of programming languages (CS010 705) PROGRAMME OUTCOME COURSE OUTCOME

CO [1]

1

2

M

S

CO [2] CO [3]

S

3

4

5

6

S

M

S

S

M

S

CO [4] CO [5]

7

8

9

M M

S

10

S

M

M

Client server architecture and Applications (CS010 706 L06) PROGRAMME OUTCOME COURSE OUTCOME

1

2

CO [1]

M

S

CO [2]

M

3

5

6

7

8

S

CO [3] CO [4]

4

S M

S

CO [5]

9

10

S S M

M

S

S

Semester 8 High Performance Computing (CS010 801) PROGRAMME OUTCOME COURSE OUTCOME

CO [1]

1

2

3

M

S

S

S

S

CO [2] CO [3] CO [4] CO [5]

M

4

5

M

S

S M

6

7

8

9

S M

S

10

M

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Artificial Intelligence (CS010 802) PROGRAMME OUTCOME COURSE OUTCOME

CO [1]

1

2

3

M

CO [2] CO [3]

S

CO [4]

S

CO [5]

M

S

M

S

S

4

5

S

S

S

6

7

8

9

10

M M S

M

S

S

M

S

9

10

Security in Computing (CS010 803) PROGRAMME OUTCOME COURSE OUTCOME

1

CO [1]

S

CO [2]

S

2

3

4

5

6

7

8

S

M

S

S

CO [3]

S

M

CO [4]

S

S

CO [5]

S

M M

M

S

S

S S

E-Commerce (CS010 804 L01) PROGRAMME OUTCOME COURSE OUTCOME

CO [1]

1

2

4

S

CO [2]

5

6

S S

CO [3] CO [4]

3

M

M M

S

S

CO [5]

8

S

9

10

M

S S

7

S M

S

S S

M

M

S

9

10

S

M

Software Architecture (CS010 805G04) PROGRAMME OUTCOME COURSE OUTCOME

CO [1]

1

2

3

S

4

5

S

6

7

8

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CO [2] CO [3]

M M

S

S

CO [4] CO [5]

S

S S

S

S

M

M M M

S

S

2.2.2. Explain how modes of delivery of courses help in the attainment of the POs (10) (Describe the different course delivery methods/modes, e.g. Lectures, interspersed with discussion, asynchronous mode of interaction, group discussion, project etc., used to deliver the courses and justify the effectiveness of these methods for the attainment of the POs. This may be further justified using the indirect assessment methods such as course-end surveys.) Course Delivery Methods/Modes: • Class room Lectures - The main delivery method for the courses is lecture interspersed with discussion. This helps in the obtaining a sound understanding of the course fundamentals, design and implementation issues, etc. • Presentations - The abstract concepts difficult to imagine are presented through power point presentations and animation tools to impart insight into the subject. Presentations also illustrate ideas and concepts in graphics form. Video presentations effectively communicate the working of actual engineering solutions and their impact. • Laboratory session- Laboratory work demonstrates how theory can be verified by experiments through interpretation of results. Experiments are normally done in groups so students learn to work in teams. • Simulations or demo - In some courses, the design and experimentation issues are also discussed in the form of demo or simulations. The students are thus exposed to different tools for implementation and experimentation. • Assignments - Writing assignments deepens thinking and increases students' engagement with course material. Good writing assignments prompt students to think more deeply about what they're learning. Some assignments carry a bigger problem nearer to reality that cannot be done in the classroom. Group assignments help them to work effectively in a team. • Case Studies - Case studies are descriptions of a real life experience, related to the field of study or training, which are used to make points, raise issues or otherwise enhance the student’s understanding and learning experience. Case studies are a great way to improve a learning experience, because they get the learner involved, and encourage immediate use of newly acquired skills. They differ from lectures or assigned readings, because they require participation and deliberate application of a broad range of skills. • Project - Micro projects, Mini projects and Final projects are carried out by a group of students under the guidance of faculty wherein students apply the knowledge of all related

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• • •

courses in providing hardware/software solutions and present demonstrable product to a panel of supervisors. Comprehensive Viva Voce - The Viva Voce is an important mode of assessment, providing an opportunity for students to demonstrate their knowledge, approach and understandings with the examiners. They are not just an assessment of the student's performance but usually an opportunity for the external examiner to get feedback from the students on the performance of the department. Seminar - The student’s collect knowledge related to a topic and present it in a technical report and oral lecture comprehensively. Industrial Visits - Industrial visits are arranged to get the student’s acquainted with industrial environment and work ethics. E- Learning Resources- Videos and E-learning material are used for giving exposure to domain expertise of the faculties from various reputed institutes like NPTEL, Stanford, and MIT Open Courseware etc.

Course Delivery Methods Class room Lecture Presentations Laboratory session Simulations or demo Assignments

Programme Outcomes PO PO PO PO 4 5 6 7

PO 1

PO 2

PO 3

X

X

X

X

X

X

X

X

X

X

X

X

X

X

X

X X

X

X

X

Project Comprehensive Viva Voce Seminars

X

X

X

X

X

X

X

X

X

X

X

X

X X

X

PO 10

X

X

X X

X

X

X

PO 9

X

Case Studies

Industrial Visits E-Learning Resources

PO 8

X

X

X

X X

X

X

X X

X

X

2.2.3. Indicate the extent to which the laboratory and project course work are contributing towards the attainment of the POs (20) (Justify the balance between theory and practical for the attainment of POs. Justify how the various project works (a sample of 20% best and average projects from total projects) carried as part of the programme curriculum contribute towards the attainment of the POs.)

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Semester

III

Lab Name

Programm ing Lab

III

Logic Design Lab

IV

Data Structures Lab

IV

Electronic Circuits Lab

V

V

VI

Database Lab

Hardware and Microproc essors Lab

Operating Systems Lab

Lab Code

CS010 307

CS010 308 (EC)

CS010 407

CS010 408 (EC)

CS010 507

CS010 508

CS010 607

Lab Objectives

Theory-1

• To acquaint the students with the fundamentals of programming. • To provide the students with good knowledge in C programming and develop problem solving skills. • To provide an introduction to Logic Systems Design thereby giving a hands on experience on working with digital ICS, which enable the study Computer System Architecture. • To provide experience on design, testing, and analysis of Algorithms and Data Structures. • To acquaint the students with the Data Structures used in the Computer Science field. • To provide an introduction to Electronic Circuits Design thereby giving a hands on experience on working with various Electronic Components, and Devices • To acquaint the students with the implementation and fundamental algorithms of database systems. • To provide experience on design, querying, and processing of data in a relational database. • To acquaint the students with the implementation and fundamental algorithms of database systems. • To provide experience on design, querying, and processing of data in a relational database. • To familiarize the students with 8085, 8086, Masm programming and various PC hardware components • To provide experience on design, querying, and processing of data in a relational database. • To provide a practical exposure of all algorithms and behavior of processes in the system with respect to all its timings. • This lab also explains the allocation

CS010 303: Problem Solving and Computer Programming

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CS010 305 Switching Theory And Logic Design

CS010 403: Data Structures and Algorithms CS010 306(EC):Elec tronics Devices and Circuits CS010 503: Database Management Systems

CS010405: Microprocess or Systems CS010 506: Advanced Microprocess ors & Peripherals

CS010 505: Operating Systems CS010 606L04 :

CSE - UG Tier II - SAR

of process in the memory with some memory management techniques.

VI

Mini Project

CS010 608

VII

System Programm ing Lab

VII

Networkin g Lab

CS010 708

VII

Seminar

CS010 709

VIII

Computer Graphics lab

CS010 806

VIII

Project work

CS010 707

• To estimate the ability of the student in transforming the theoretical knowledge studied so far into application software. • For enabling the students to gain experience in organization and implementation of a small project and thus acquire the necessary confidence to carry out main project in the final year. • To understand and gain the knowledge of software engineering practices, so as to participate and manage large software engineering projects in future. • To familiarize the design of all phases of compilers up to a stage of intermediate code generation. • To enable the students to design and implement modern compilers for any environment. • To provide experience on design, testing, and analysis of Java Programs. • To acquaint the students with the Networking Protocols and Communication using ports and sockets. • Communicate effectively about work both orally and in writing journals/technical reports. • To acquaint the students with the implementation of fundamental algorithms in Computer Graphics.

• To understand and gain the knowledge of software engineering CS010 710 practices, so as to participate and manage large software engineering projects in future.

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UNIX Shell Programming

CS010 503: Database Management Systems CS010 605: Software Engineering

CS010 603: System Software CS010 702: Compiler Construction

CS010 602: Internet Computing

CS010 703: Computer Graphics CS010 503: Database Management Systems CS010 605: Software Engineering

CSE - UG Tier II - SAR

Laboratory Outcomes After completion of the Laboratory the students will be able to: LO [1] Develop an ability to understand / solve key concepts discussed in the classroom. LO [2] Apply the knowledge of engineering practices, science and mathematics to propose and apply effective engineering solutions. LO [3] Identify suitable hardware/software part to implement algorithms/procedures hence analyze and make inferences from the output. LO [4] Work effectively in groups or as individual member to complete the assigned responsibilities by holding ethical standards with concern to global, environmental, economic, social issues and life- long learning. LO [5] Communicate effectively about laboratory work both orally and in writing technical reports. Correlation between Laboratory Outcomes and Programme Outcomes: S- Strong, M- Moderate LO/PO

PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10

LO1 LO2 LO3 LO4

S

S

S

S

M

S

S M

S

S

M S

S

S

S S

LO5 Balance between Theory and Practical (including project)

Figure 5. Distribution of credits for Theory and Practical

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Procedure for Final Year Project Work Phase

Phase I

Subject and Code

Project work CS010 710

Semester

VII

Nature of Work Literature Survey, Problem Definition Finalize project theme /title , Define Objectives, Completion Timelines Interim Report (Evaluation Committee) Project Implementation

Phase II

Project work CS010 807

Project Completion, Testing, Report Writing VIII Term work Assessment University Viva (External Evaluation)

Assessment Progress Presentation Progress Presentation Project Report Progress Presentation Project Demonstration Project Report and Demonstration Project Report

List of sample of 20% best and average projects from total projects and achievement of POs Best and Average Projects Mini Project Topics 2012-2016 Batch 1 Mark Analysis & Rating System 2 Free My Brain 3 Online Pc Assembling 4 Online Advertisement Publishing System 5 Univ-Port 6 Medispace 2011-2015 Batch 1 Online Project Eval 2 E-Justice 3 Panchayath Automation 4 Online Hostel Management 5 Online Gas Booking 6 Online University Portal 2010-2014 Batch 1 Rarking & Parking 2 Campus Network 3 Shop N Shop 4 Work Web 5 Nest 6 Film Club

POs 1,2,3,4,7,8,9 1,2,3,4,7,8,9 1,2,3,4,7,8,9 1,2,3,4,7,8,9 1,2,3,4,7,8,9 1,2,3,4,7,8,9 1,2,3,4,7,8,9 1,2,3,4,7,8,9 1,2,3,4,7,8,9 1,2,3,4,7,8,9 1,2,3,4,7,8,9 1,2,3,4,7,8,9 1,2,3,4,7,8,9 1,2,3,4,7,8,9 1,2,3,4,7,8,9 1,2,3,4,7,8,9 1,2,3,4,7,8,9 1,2,3,4,7,8,9

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2009-2013 Batch 1 Leave Tracker 2 Amal Jyothi Leave & Out pass Registration System 3 Smart Classifieds 4 Taste Buds 5 Online Food Court System 6 Online Auction System Main Project Topics 2011-2015 Batch 1 Bat- Blind Assistive Technology 2 Psychological Health Assessment Through Video Analysis (Psychanteena) 3 Voice Navigated Pc (Speecom) 4 Movies Subtitles And Tracks Search/Retrieval. 5 Online Penetration Testing Tool 6 Digital Paper Valuation 2010-2014 Batch 1 Lokpal 2 She 3 Eyes 4 Ekayana 5 Mall Surf 6 Virtual Scanner 2009-2013 Batch 1 Zeropass: A User Authentication Scheme 2 Theft Recovery Over Notification 3 Inhunt 4 Inst-alert 5 Mcop 3g : Mobile Police System 6 Loc n Rem

1,2,3,4,7,8,9 1,2,3,4,7,8,9 1,2,3,4,7,8,9 1,2,3,4,7,8,9 1,2,3,4,7,8,9 1,2,3,4,7,8,9

1,2,3,4,5,7,8,9 1,2,3,4,5,7,8,9 1,2,3,4,5,7,8,9 1,2,3,4,7,8,9 1,2,3,4,5,7,8,9 1,2,3,4,5,7,8,9 1,2,3,4,7,8,9 1,2,3,4,7,8,9 1,2,3,4,7,8,9 1,2,3,4,7,8,9 1,2,3,4,7,8,9 1,2,3,4,7,8,9 1,2,3,4,7,8,9 1,2,3,4,7,8,9 1,2,3,4,7,8,9 1,2,3,4,7,8,9 1,2,3,4,7,8,9 1,2,3,4,7,8,9

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Figure 6. Attainment level for Project and Practical

2.3. Evaluation of the attainment of Programme Outcomes (75) 2.3.1. Describe assessment tools and processes used for assessing the attainment of each PO (50) Describe the assessment process that periodically documents and demonstrates the degree to which the Programme Outcomes are attained. Also include information on: a) Listing and description of the assessment processes used to gather the data upon which the evaluation of each the Programme Outcome is based. Examples of data collection processes may include, but are not limited to, specific exam questions, student portfolios, internally developed assessment exams, project presentations, nationally-normed exams, oral exams, focus groups, industrial advisory committee; b) The frequency with which these assessment processes are carried out.

a) List & Description of assessment processes Assessment Tools

Direct/Indirect

Remarks

Project Evaluation

Direct

Project Evaluation conducted among the students towards the end of their final year

Course Evaluation

Direct

Course evaluation is collected from the faculty at

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the end of each semester. Modes of evaluation are End Semester Exam, Class Tests, Series Tests, Model Exams, Assignments, Attendance and Seminars. Course End Survey

Indirect

Course Survey conducted among students at the end of each semester

Alumni Survey

Indirect

Alumni Survey conducted among alumni at the end of each academic year

Student Exit Survey

Indirect

Student Exit Survey conducted among the graduates.

b) The frequency with which these assessment processes are carried out. Coordinator/ Assessment Tools Frequency Stakeholders Committee Project Evaluation Yearly Students Department Advisory Board(DAB) Course Evaluation

Twice a Year

Students

Department Advisory Board(DAB)

Course End Survey

Twice a Year

Students

Course Coordinator

Alumni Survey

Yearly

Alumni

Department Advisory Board(DAB)

Student Exit Survey

Yearly

Graduates

Programme coordinator

2.3.2. Indicate results of evaluation of each PO (25) a) The expected level of attainment for each of the Program Outcomes; b) Summaries of the results of the evaluation processes and an analysis illustrating the extent to which each of the programme outcomes are attained; and

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c) How the results are documented and maintained. Using Direct Methods of assessment Given below is a graph showing the average attainment level of each PO, assessed using direct measures like Course Evaluation and Project Evaluation conducted during academic year 20142015.

Figure 7. PO Attainment level by Direct Assessment Using Indirect Methods of assessment Alumni Survey conducted in 2015

Figure 8. PO Attainment-Alumni Survey(2015)

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Graduate Exit Survey for past three years (Plotted on a scale of 5)

Figure 9. PO Attainment-Student Exit Survey

Figure 10. PO Attainment-Student Exit Survey

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Figure 11. PO Attainment-Student Exit Survey Course End Survey

Figure 12. PO Attainment-Course End Survey(2014-15)

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Given below are the Course End Survey attainment results (Indirect Assessment Method) for subjects of Even Semester during the year 2014-15.

Figure13. Course End Survey(2015)

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Figure14. Course End Survey(2015)

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Figure15. Course End Survey(2015)

2.4. Indicate how the results of evaluation of achievement of the POs have been used for redefining the POs (10) (Articulate, with rationale, how the results of the evaluation of the POs have been used to review/redefine the POs) • •

Based on the evaluation and review of attainment of POs modifications will be recommended for adding or deleting components of theory, electives, practical etc. The recent developments in the field are also considered for inclusion in the curriculum so that the students are well updated and can put forward a better performance than their competitors.

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• •

The results of evaluation are discussed in faculty meetings and new methods of course delivery and evaluation are formulated. New and effective methods will be evolved for more efficient delivery of courses. In times of need special coaching is provided to students, like remedial classes. The suggestions at institution level are taken to meetings of curriculum revision committee at university level, where after discussion, recommendations to revise curriculum are sent for approval of BOS.

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3. Programme Curriculum (125) 3.1. Curriculum (15) 3.1.1. Describe the structure of the curriculum (5)

Course Code EN010 101 EN010 102 EN010 103 EN010 104 EN010 105 EN010 106 EN010 107 EN010 108

EN010 109

EN010 110

EN010 111

EN010 301

EN010 302

Course Title Engineering Mathematics I Engineering Physics Engineering Chemistry& Environmental Engineering Mechanics Engineering Graphics Basic Civil Engineering Basic Mechanical Basic Electrical Engineering Basic Electronics Engineering &Information Technology Basic Mechanical Workshop

Total Number of contact hours Lecture Tutorial Practical# Total Hours (L) (T) (P) 2

1

3

3

1

1

2

2

1

1

2

2

3

1

4

4

1

3

4

4

1

1

2

2

1

1

2

2

1

1

2

2

2

1

3

3

3

3

3

3

3

Basic Electrical & Civil Workshop Engineering Mathematics II Economics & Communication Skills

Credits

3

3

1

4

4

3

1

4

4

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CS010 303

CS010 304

CS010 305

Problem Solving And Computer Programming Computer Organization Switching Theory And Logic Design

CS010 306

Electronics Devices and Circuits

CS010 307

Programming Lab

CS010 308 EN010 401

Logic Design Lab Engineering Mathematics III

2

2

4

4

3

1

4

4

3

1

4

4

3

1

4

4

3

3

3

3

3

3

3

1

4

4

CS010 402

Object Oriented Programming

3

1

4

4

CS010 403

Data Structures and Algorithms

2

2

4

4

CS010 404

Communication Systems

3

1

4

4

CS010405

Microprocessor Systems

3

1

4

4

3

1

4

4

3

3

3

3

3

3

CS 010 406 CS010 407

Theory of Computation Data Structures Lab

CS010 408

Electronic Circuits Lab

EN010 501

Engineering Mathematics IV

3

1

4

4

EN010 502

Principles of Management

3

1

4

4

CS010 503

Database Management Systems

2

2

4

4

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CS010 504 CS010 505 CS010 506 CS010 507 CS010 508

CS010 601

CS010 602

Digital Signal Processing Operating Systems Advanced Microprocessors & Peripherals

3

1

4

4

3

1

4

4

3

1

4

4

3

3

3

3

3

3

Database Lab Hardware And Microprocessors Lab Design And Analysis of Algorithm Internet Computing

2

2

4

4

2

2

4

4

CS010 603

System Software

3

1

4

4

CS010 604

Computer Networks

3

1

4

4

CS010 605

Software Engineering

3

1

4

4

3

1

4

4

3

3

3

3

3

3

CS010 606L04 Elective I CS010 607 CS010 608 CS010 701 CS010 702 CS010 703 CS010 704

CS010 705

Operating Systems Lab Mini Project Web Technologies Compiler Constructions Computer Graphics Object Oriented Modelling And Design Principles Of Programming Languages

CS010 706L06 Elective II

2

2

4

4

2

2

4

4

2

1

3

3

2

1

3

3

2

1

3

3

2

2

4

4

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CS010 707

Systems Programming Lab

3

3

3

CS010 708

Networking Lab

3

3

3

CS010 709

Seminar

2

2

2

CS010 710

Project Work

1

1

1

CS010 801 CS010802 CS010 803

High Performance Computing Artificial Intelligence Security in Computing

CS010 804L01- Elective III 06 CS010 805L01- Elective IV 06 Computer CS010 806 Graphics Lab CS010 807

Project

CS010 808

Viva Voce

3

2

5

4

2

2

4

4

2

2

4

4

2

2

4

4

2

2

4

4

3

3

2

6

6

4

0

2

Total #Seminars, project works may be considered as practical 3.1.2. Give the Prerequisite flow chart of courses (5) (Draw the schematic of the prerequisites of the courses in the curriculum)

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3.1.3. Justify how the programme curriculum satisfies the programme specific criteria (5) (Justify how the programme curriculum satisfies the programme specific criteria specified by the American professional societies relevant to the programme under accreditation) PROGRAMME SPECIFIC CRITERIA: Lead Society: IEEE These program criteria apply to engineering programs that include electrical, electronic, computer, or similar modifiers in their titles. 1. Curriculum The structure of the curriculum must provide both breadth and depth across the range of engineering topics implied by the title of the program. The curriculum must include probability and statistics, including applications appropriate to the program name; mathematics through differential and integral calculus; sciences (defined as biological, chemical, or physical science); and engineering topics (including computing science) necessary to analyze and design complex electrical and electronic devices, software, and systems containing hardware and software components. The curriculum for programs containing the modifier “electrical” in the title must include advanced Mathematics, such as differential equations, linear algebra, complex variables, and discrete mathematics. The curriculum for programs containing the modifier “computer” in the title must include discrete Mathematics. The Programme Curriculum satisfies the IEEE Programme Specific Criteria can be shown by dividing into core components Mathematical logic: These subjects provide depth as well as breadth to the Computer Science and Engineering program. This structure includes probability, statistics and calculus necessary to analyze and design complex software and systems. Discrete mathematics gives an emphasis on discrete mathematical structures and using in modeling routing on the internet. Science: These subjects include chemical and physical science to analyze and solve advanced engineering subjects. Computing: This structure increases the ability to find, analyze and solve simple and complex real world systems containing hardware and software components. This helps in improving mathematical knowledge to decode and execute real time problems. It also helps in developing web applications. Programming Languages and paradigms: Developing an ability to think and analyze real world problems using mathematical reasoning and algorithms. These subjects help in developing web applications using software components. Engineering Basics: Developing awareness about various mathematical structures and its applications. These programs also provide breadth across the range of engineering topics implied by the title of the program.

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Professional Core: Developing skills that are relevant to student’s future career. It helps in providing an academic perspective on computer science, addressing areas such as the theory of algorithms, computer programming, hardware design and software engineering. Also giving focus on discrete mathematical structure.

3.2. State the components of the curriculum and their relevance to the POs and the PEOs (15) Programme curriculum grouping based on different components

Course Component

Curriculum Content Total (% of total number of number of Total number credits of the of credits contact hours programme )

POs

PEOs

Mathematics

7.21

15

15

1, 2, 10

1, 2, 3

Science

1.92

4

4

1, 2, 10

1, 2, 3

Humanities

3.85

8

8

5, 6, 7, 9, 10

1, 2, 3

Engineering Basics

8.17

17

17

1, 2, 5, 6

1, 2, 3

Computing

7.69

17

16

1-10

1,2,3

12.98

27

27

1-10

1, 2, 3

20.19

42

42

1-10

1, 2, 3

Discipline Electives

7.69

16

16

1-10

1,2,3

Inter disciplinary Courses

7.69

16

16

1-10

1,2,3

161

161

Programming languages and Paradigms Professional core

TOTAL

3.3. State core engineering subjects and their relevance to Programme Outcomes including design experience (30) (Describe how the core engineering subjects in the curriculum provide the learning experience with the complex engineering problems) Core Engineering Subjects and their Relevance CS010 304: Computer Organization – • Introduces fundamental concepts of computer science and computer architecture. Page 81

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• Helps to develop a good understanding of a complete computer system through an integrated approach to hardware, software and processor design. • To emphasize on both background theory and actual design. o These objectives facilitate a method to achieve Program Outcomes [1, 2, 3, 4, 5, 6,8] CS010 403: Data Structures and Algorithms – • To impart the basic concepts of data structures and algorithms • To develop understanding about writing algorithms and step by step approach in solving problems with the help of fundamental data structures. o These objectives facilitate a method to achieve Program Outcomes [1, 2, 3, 4] CS010 503: Database Management Systems – • To give an introduction to the theory and practice of database systems. • To develop basic knowledge on data modeling and design of efficient relations. • To provide exposure to oracle database programming. o These objectives facilitate a method to achieve Program Outcomes [1, 2, 3, 4, 5, 6, 7, 8, 9] CS010 505: Operating Systems – • To understand the fundamental concepts and techniques of Operating Systems. • To be aware of how a computer works at its innermost levels. • To study the basic structure of Linux system. o These objectives facilitate a method to achieve Program Outcomes [1, 2, 3, 4, 5, 7, 8, 9] CS010 603: System Software – • To introduce the techniques adopted in the design and implementation of System Software. • To know how a system program manages and supports the computer resources and operations of a computer system while it is running application software. o These objectives facilitate a method to achieve Program Outcomes [1, 2, 3, 4, 5, 9] CS010 604: Computer Networks – • To develop basic knowledge on the mode of operation of different types of computer networks those are used to interconnect a distributed community of computers and various interfacing standards and protocols. o These objectives facilitate a method to achieve Program Outcomes [1, 2, 3, 4, 5, 6, 9, 10] CS010 605: Software Engineering – • To familiarize the steps in designing a Computer Software System following the conventions in Engineering Design. • To introduce the fundamentals of Structured and Object Oriented Designs and Design Tools. o These objectives facilitate a method to achieve Program Outcomes [ 2, 3, 4, 6, 7, 8, 9] CS010 702: Compiler Constructions – • To introduce the various techniques involved in the translation of source programs into object programs by a compiler.

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• To understand the inner working of a compiler using the various data structures used in the translation process. o These objectives facilitate a method to achieve Program Outcomes [1, 2, 3, 4, 5, 6, 9, 10] CS010 703: Computer Graphics – • To understand the basic concepts of Computer Graphics & display techniques. • To develop basic knowledge on imaging techniques and to create an ability to quickly visualize newly designed shapes o These objectives facilitate a method to achieve Program Outcomes [1, 2, 3, 4, 5, 6, 7, 8, 10] CS010 704: Object Oriented Modeling and Design – • To impart ideas on building systems through the object oriented modeling approach using the Unified Modeling Language. o These objectives facilitate a method to achieve Program Outcomes [1, 2, 3, 4, 5, 7, 8, 9, 10] CS010 802: Artificial Intelligence • To provide introduction to the basic knowledge representation, problem solving, and learning methods of Artificial Intelligence. • To familiarize with Fuzzy Logic and knowledge processing in expert systems • To give exposure to problem solving in AI using Python o These objectives facilitate a method to achieve Program Outcomes [1, 2, 3, 4, 5, 6, 7, 9, 10]

3.4. Industry interaction/internship (10) (Give the details of industry involvement in the programme such as industry-attached laboratories and partial delivery of courses and internship opportunities for students) Industrial Visit By Students

Company Name

Company Sector

Incorpo ration Status

CISCO, Bangalore

IT

Private

Doordarsha n, Bangalore

Broadcasti ng

Public

Intel, Bangalore

IT

Private

Discipline Computer & IT Engineering and Allied Computer & IT Engineering and Allied Computer & IT Engineering and Allied Page 83

Level

Date From

Date To

No of Stud ents

Degree

6/17/2013

6/21/2013

54

Degree

6/17/2013

6/21/2013

54

Degree

8/21/2013

8/25/2013

53

CSE - UG Tier II - SAR

Wipro , Mysore

IT

Private

Doordarsha n, Goa

IT

Private

TCS, Bangalore

IT

Private

IPSR solutions, Kottayam

IT

Private

All India Radio , Goa

Broadcasti ng

Public

TCS, Bangalore

IT

Private

TCS, Hydrabad

IT

Private

UST Global, Ernakulam

IT

Private

Icubes (Qoutient Four), Ernakulam

IT

Private

UST Global, Trivandrum

IT

Private

Computer & IT Engineering and Allied Computer & IT Engineering and Allied Computer & IT Engineering and Allied Computer & IT Engineering and Allied Computer & IT Engineering and Allied Computer & IT Engineering and Allied Computer & IT Engineering and Allied Computer & IT Engineering and Allied Computer & IT Engineering and Allied Computer & IT Engineering and Allied

Degree

12/6/2013

12/11/2013

38

Degree

9/9/2014

9/9/2014

33

Degree

3/8/2013

3/8/2013

45

Degree

9/11/2014

9/11/2014

10

Degree

9/9/2014

9/9/2014

33

Degree

6/8/2014

6/8/2014

40

Degree

7/7/2014

7/7/2014

43

Degree

10/1/2014

10/1/2014

40

Degree

10/1/2014

10/1/2014

40

Degree

2/12/2015

2/12/2015

52

Student Internship

Company Name

Compa ny Sector

Incorp oration Status

Discipline

Page 84

Level

Date From

Date To

No of Stude nts

CSE - UG Tier II - SAR

Aabasoft, Cochin

IT

Private

VSSC, Trivandrum

IT

Public

IPSR Solutions Ltd.

IT

Private

IBM

IT

Private

Private

Aceware Technologi es, Trivandrum

IT

Computer & IT Engineering Degree 12/9/2013 and Allied Computer & IT Engineering Degree 6/30/2014 and Allied Computer & IT Engineering Degree 1/29/2014 and Allied

12/13/2013

5

7/4/2014

1

1/29/2014

60

Computer & IT Engineering Degree 3/10/2014 and Allied

3/10/2014

87

Computer & IT Engineering Degree 1/27/2014 and Allied

2/1/2014

87

3.5. Illustrate the measures and processes used to identify the curricular gaps to the attainment of the COs/POs (15) (Details of the processes used to curricular gaps to the attainment of defined course outcomes and programme) Some of the measures and processes that have been implemented are detailed below. a) At the end of the semester, student feedback (on an anonymous basis) is taken for the quality of the course contents along with the course delivery specific for a faculty member. This enables the Department to make proactive changes to successive courses and functioning methods of the faculty. b) Module wise tests are conducted to identify weak students at the beginning of the course. Tutorial classes and confidence building measures are provided to such students. c) The placement drive identifies performance gaps in the students. Such gaps are mitigated by providing training by way of Add-on courses and Soft skills which complement regular classes. d) One such gap identified was the lack of communication skills. Students have been found to exhibit interview phobia. This is being countered by the inclusion of Communication classes which have been included in the timetable and Spoken Tutorial classes conducted by IIT, Bombay in association with MHRD. e) The subject expertise identified lack of knowledge in core areas of computer science. This curriculum gap is bypassed by taking content topics beyond syllabus and by providing QEEE sessions by IIT, Madras on computer science subjects. f) Adequate changes have been introduced in the syllabus and the subjects to keep them abreast with technology changes.

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Process for identifying curricular gaps Curriculum development team

1. Define curriculum approach and scope of practice

2. Make decisions about learner characteristics, intended outcomes, methods, content

3. Perform Curriculum Based Measurement 3.3 Perform Mastery Measures

3.1 Perform General outcome Measures

3.2 Perform Skill Based Measures

4. Conduct Curriculum Based Assessment

Yes

4.1 Conduct Survey-level Assessment

Yes

Check for curriculu m gaps

4.2 Conduct Specific-level Assessment

No

Prescribed Curriculum results in subject-oriented and competent based education

Figure16. Process for identifying curricular gaps

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3.6 Indicate the content beyond syllabus imparted for the attainment of the COs/POs(35) (Details of the content beyond syllabus imparted for the attainment of the COs/PO s. This information may be provided course wise or module wise) Semester Course/Module 3 Problem Solving and Computer Programming 4

Data Structures and Algorithms

4

Microprocessor Systems

4

Theory of Computation

5

Database Systems

6

Algorithms

6

Computer Networks

7

Web Technologies

7

Compiler Construction

7

Computer Graphics

Page 87

Content beyond Syllabus 1. Functions with any datatype arguments 2. Bitwise operators programming 1. Learn data structures by simulations. 1. Assembly language programming 2. Modular programming 3. Hardware details of Intel Pentium processors 1. Recent trends and applications 2. Regulated Rewriting 3. Matrix Grammers 4. Insertion-deletion Systems 5. L systems and P systems 1. Distributed Databases and Client Server architecture 1. Machine Learning Algorithms 2. Genetic Algorithms 1. Multimedia NetworkingMultimedia over IP 2. Introduction to Ad Hoc and Sensor Networks, Cellular Networks 1. Structure of Web Architecture 2. Web Servers-Microsoft IIS, net,MySQL, Apache, Tomcat, Oracle 3. Semantic Web 4. Online Services-Facebook, Google, Social Web and Virtual Worlds 1. Compilation for high performance architecture 2. Selected topics from compilers for imperative, object oriented and mark up languages 1. Virtual reality Programming

CSE - UG Tier II - SAR

8

Artificial Intelligence

8

Security in Computing

2. Audio, Video and Image Enhancement Techniques 3. Animation Software Development 1. Introduction to natural language Processing 2. Artificial Neural Networks 1. Server Side Security-Web Server, Database Server, App Server 2. Cloud Security 3. Mobile Security 1.Mobile e-commerce 2. Data mining for e-commerce

8 E-Commerce 8

Software Architecture

1. Documenting Software Architecture, 2. Evaluating Software Architecture 3.Case studies and Recent Research Trends

3.7. Course Syllabi (5) (Include, in appendix, a syllabus for each course used. Syllabi format should be consistent and shouldn’t exceed two pages.) The syllabi format may include:        

Department, course number, and title of course Designation as a required or elective course Pre-requisites Contact hours and type of course (lecture, tutorial, seminar, project etc.) Course Assessment methods (both continuous and semester-end assessment) Course Outcomes Topics covered Text books, and/or reference material

Attached in Appendix I

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4. Students’ Performance (100) Admission intake in the programme Item

CAY

CAYm1 CAYm2

CAYm3

Sanctioned intake strength of the programme (N)

120

120

90

90

Total number of students admitted in first year minus number of students migrated to other programmes at the end of 1st year (N1)

126

107

89

91

Number of students admitted in 2nd year in the same batch via lateral entry (N2)

NIL

2

1

3

Total number of students admitted in the programme (N1 + N2)

126

109

90

94

4.1. Success Rate (30) Provide data for the past seven batches of students Incomplete Number of students who have Number of students Year of entry (in admitted in 1st year successfully completed* reverse + admitted via lateral chronological order entry in 2nd year (N1 4th Year + N2) 1st Year 2nd Year 3rd Year 126 CAY CAYm1

109

64/109

CAYm2

90

51/91

40/90

CAYm3

94

67/93

50/91

57/91

CAYm4 / LYG

94

46/94

36/94

36/92

53/90

CAYm5 / LYGm1

93

49/93

39/93

45/93

60/93

CAYm6 / LYG m2

62

55/62

33/62

48/62

55/62

*successfully completed implies zero backlogs Page 89

CSE - UG Tier II - SAR

Success rate = 30 × mean of success index (SI) for past three batches SI= (Number of students who graduated from the programme 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) Item

LYG (CAYm4)

LYGm1 (CAYm5)

LYGm2 (CAYm6)

Number of students admitted in the corresponding First Year + admitted via lateral entry in 2nd year

94

93

62

Number of students who have graduated in the stipulated period

53

60

55

0.56

0.64

0.88

Success index (SI)

Average SI = 0.69 Success rate = 30 × Average SI = 20.8 4.2. Academic Performance (20) Academic Performance = 2 * API Where API = Academic Performance Index = Mean of Cumulative Grade Point Average of all successful Students on a 10 point CGPA System OR = Mean of the percentage of marks of all successful students / 10 Item LYG LYGm1 (CAYm4) (CAYm5)

LYGm2 (CAYm6)

Approximating the API by the following mid-point Analysis 9 < Number of students with CGPA < 10.0 / 91-100 %

0

0

0

8 < Number of students with CGPA < 9.0/ 81- 90 %

5

2

2

7
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