Department of Electrical Electronics Engineering files/M.Tech... · 10 Lecture Notes YES 11...

Department of Electrical & Electronics Engineering

Course Tittle: Modeling and analysis of Electrical Machines

Following documents are available in Course File.

S.No. Points Yes No

1 Institute and Department Vision and Mission Statements YES

2 PEO & PO Mapping YES

3 Academic Calendar YES

4 Subject Allocation Sheet YES

5 Class Time Table, Individual Timetable (Single Sheet) YES

6 Syllabus Copy YES

7 Course Handout YES

8 CO-PO Mapping YES

9 CO-Cognitive Level Mapping YES

10 Lecture Notes YES

11 Tutorial Sheets With Solution YES

12 Soft Copy of Notes/Ppt/Slides YES

13 Sessional Question Paper and Scheme of Evaluation YES

14 Best, Average and Weak Answer Scripts for Each Sessional Exam. (Photocopies)

YES

15 Assignment Questions and Solutions YES

16 Previous University Question Papers YES

17 Result Analysis YES

18 Feedback From Students YES

19 Rubrics YES

20 CO Attainment for All Mids. YES

21 Remedial Action.

Course Instructor : (Name) HOD (Signature)

(Signature)


VISION AND MISSION

VISION OF THE INSTITUTE: To be among the best of the institutions for engineers and technologists with attitudes, skills and knowledge and to become an epicenter of creative solutions. MISSION OF THE INSTITUTE: To achieve and impart quality education with an emphasis on practical skills and social relevance. VISION OF THE DEPARTMENT:

To impart technical knowledge and skills required to succeed in life, career and help society to achieve self-sufficiency.

MISSION OF THE DEPARMENT:

To become an internationally leading department for higher learning.

To build upon the culture and values of universal science and contemporary education.

To be a center of research and education generating knowledge and technologies which lay groundwork in shaping the future in the fields of electrical and electronics engineering.

To develop partnership with industrial, R&D and government agencies and actively participate in conferences, technical and community activities.

1 Institute and Department Vision and Mission Statements


2 PEO & PO Mapping

Program Educational Objectives (PEO’s):

1. Graduates will attain technical knowledge, skills and analytical ability to design, develop and test power electronic converters using modern tools.

2. Graduates will be able to attain holistic education that is an essential prerequisite for being a responsible member of society

3. Graduates will have Confidence to conduct research, take up higher studies and life-long learning in the field of power electronics.

4. Graduates will adapt to the changing needs of Industry/Society through advanced technologies in the area of power electronics.

Program Outcomes (PO’s):

PO 1: Apply knowledge of mathematics, science, and engineering. PO 2: Design and conduct experiments, as well as to analyze and interpret data. PO 3: Design a system, component, or process to meet desired needs within realistic

constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability.

PO 4: Function on multi-disciplinary teams. PO 5: Identify, formulates, and solves engineering problems.PO 6: Understanding of professional and ethical responsibility.PO 7: Communicate effectively. PO 8: Broad education necessary to understand the impact of engineering solutions in

a global, economic, environmental, and societal context. PO 9: Recognition of the need for, and an ability to engage in life-long learning. PO 10: Knowledge of contemporary issues.PO 11: Utilize experimental, statistical and computational methods and tools necessary

for engineering practice. PO 12: Demonstrate an ability to design electrical and electronic circuits, power

electronics, power systems; electrical machines analyze and interpret data and also an ability to design digital and analog systems and programming them.

PEO’s AND PO’s MAPPINGS

ProgrammeEducational

Objectives(PEOs)ProgrammeOutcomes(POs)

1 2 3 4 5 6 7 8 9 10 11 121 M M - - H - - H H - H H2 - - M M H H H - - - - H 3 - - - - H H M M M M H H 4 - - - M M H M H H - M H

* H: Strongly Correlating (3); M: Moderately Correlating (2)& L: Weakly Correlating (1)


COURSE OBJECTIVES Academic Year : 2018-2019

Semester : II

Name of the Program: M.Tech…Power Electronics….… Year: …… I ……….

Course/Subject: …Modeling and Analysis ofElectrical Machines… Code:…GR18D5073….

Name of the Faculty:.… Dr B Phaneendra Babu …...… Dept: …………..EEE…………

Designation: Professor On completion of this Subject/Course the student shall be able to:

S.No Course Objectives

1. Understand the principle of Electromagnetic Energy Conversion.

2. Explain the operation of an electrical machine mathematically.

3. Recognize how a machine can be represented as its mathematical equivalent.

4. Develop mathematical model of AC & DC machines and perform transient analysis on them.

5. Compare modeling aspects of special machines.


COURSE OUTCOMES

Academic Year : 2018-2019

Semester : II


Course/Subject: …Modeling and Analysis ofElectrical Machines… Code: …GR18D5073….

Name of the Faculty: .… Dr B Phaneendra Babu …...… Dept: …………..EEE…………

Designation:

The expected outcomes of the Course/Subject are:

S.No Course Outcomes

1. Demonstrate the concept of Electromagnetic energy conversion and its storage

2. Evaluate the transformation techniques

3. Analyse the dynamic behavior rotating machines.

4. Understand equivalent circuit of synchronous machines.

5. Design Mathematically model special electrical machines

Signature of HOD Signature of faculty Date:


3 Academic Calendar

ACADEMIC CALENDAR

M.Tech -I Year – I SEM: Power Electronics (2018-19 Admitted Batch) GRIET/EEE/31/G/18-19

S.No Event Period Duration

1 Orientation Program 13-08-2018

2 I Spell of Instructions 13-08-2018 to 20-10-2018 10 Weeks 3 I Mid Examinations 22-10-2018 to 27-10-2018 1 Week

4 II Spell of Instructions 29-10-2018 to 15-12-2018 7 Weeks

5 II Mid Examinations 17-12-2018 to 22-12-2018 1 Week

6 Preparation and Practical Examinations 24-12-2018 to 29-12-2018 1 Week

7 End Semester Examinations 31-12-2018 to 15-01-2019 2 Weeks

8 Commencement of II Semester, A. Y. 2018-19

16-01-2019

M.Tech -I Year – II SEM: Power Systems (2018-19 Admitted Batch) GRIET/EEE/31/G/18-19

S.NEvent Period Duration

1 I Spell of Instructions 16-01-2019 to 16-03-2019 9Weeks2 I Mid Examinations 18-03-2019 to 23-03-2019 1 Week

3 II Spell of Instructions 25-03-2019 to 04-05-2019 6Weeks

4 Summer Vacation 06-05-2019 to 08-06-2019 5 Weeks

5 II Spell of Instructions 10-06-2019 to 22-06-2019 2 Weeks

6 II Mid Examinations 24-06-2019 to 29-06-2019 1 Week

7 Preparation and Practical Examinations

01-07-2019 to 06-07-2019 1 Week

8 End Semester Examinations 08-07-2019 to 20-07-2019 2 Weeks

9 Commencement of II Semester, A Y 2019-20

22-07-2019


4 Subject Allocation Sheet

5 Class Time Table, Individual Timetable (Single Sheet)

M.Tech -I Year – II SEM: Power Electronics (2018-19Admitted Batch)GRIET/EEE/31/G/18-19 Time Table W.e.f. Date:16/01/2019 Issue-1

9.00 AM To 10:00 AM

10:00

AM

To

11.00

AM

11:00 AM To 12.00 AM

12.00 AM To 1.00 AM

1.00 PM To 2.00 PM

2.00 PM To 3.00 PM

3.00 PM To 4.00 PM

MON MAEM BREAK

TUE MAEM BREAK

WED MAEM BREAK

.

THU BREAK

FRI BREAK

SAT BREAK


6 Syllabus Copy

MODELING AND ANALYSIS OF ELECTRICAL MACHINES

Course Code: GR18D5073 L/T/P/C: 3/0/0/3 Unit I Principles of Electromagnetic Energy Conversion, General expression of stored magnetic energy. Co-energy and force/torque, example using single and doubly excited system. Basic Concepts of Rotating Machines-Calculation of air gap mmf and per phase machine inductance using physical machine data; Voltage and torque equation of dc machine. Unit II Three phase symmetrical induction machine and salient pole synchronous machines in phase variable form, Application of reference frame theory to three phase symmetrical induction and synchronous machines, Dynamic direct and quadrature axis model in arbitrarily rotating reference frames. Unit III Determination of Synchronous machine dynamic equivalent circuit parameters, Analysis and dynamic modeling of two phase asymmetrical induction machine and single-phase induction machine. Unit IV Modelling of Permanent magnet synchronous machine, Surface permanent magnet (square and sinusoidal back emf type) and interior, permanent magnet machines, Construction and operating principle, dynamic modelling and self-controlled operation. Unit V Analysis of Switch Reluctance Motors, Doubly salient PM Motor for space and other electrification Applications. Text Books 1.Charles Kingsle,Jr., A.E. Fitzgerald, Stephen D.Umans, “Electric Machinery”, Tata Mcgraw Hill 2.R. Krishnan, “Electric Motor & Drives: Modeling, Analysis and Control”, Prentice Hall of India 3.Miller, T.J.E., “Brushless Permanent Magnet and Reluctance Motor Drives”, Clarendon Press 4.P.C. Krause “Analysis of Electric Machine” Wiley IEEE Press 3rd Edition


7 Course Handout

COURSESCHEDULE Academic Year : 2018-2019

Semester : II



Name of the Faculty: .… Dr B Phaneendra Babu Dept: …………..EEE…………

Designation:

The Schedule for the whole Course / Subject is:

S. No. Description Total No of

Periods

1.

UNIT 1:Principles of Electromagnetic Energy

Conversion

9

UNIT 2:Three phase symmetrical induction machine and

salient pole synchronous machines

2.

10

UNIT 3:Determination of Synchronous machine dynamic

equivalent circuit parameters, Analysis and dynamic

modeling

3.

14

UNIT4:Modeling of Permanent magnet synchronous

machine

4. 8

UNIT 5:Analysis of Switch Reluctance Motors

7

5.

Total No. of Instructional periods available for the course: 48….Hours / Periods


SCHEDULE OF INSTRUCTIONS / COURSEPLAN


Semester : II



Name of the Faculty: .… Dr B Phaneendra Babu Dept: …………..EEE…………

Designation: Professor

S.NO

UNIT

DATE TOPICS

01 I 16/01/2019 Principles of Electromagnetic Energy Conversion. 02 I 21/01/2019 General expression of stored magnetic energy. 03 I 22/01/2019 Co‐energy and force/torque. 04 I 23/01/2019 Example for force/torque using single excited system . 05 I 28/01/2019 Example for Co‐energyusing single excited system

06 I 29/01/2019 Example for force/torque using doubly excited system. 07 I 30/01/2019 Basic Concepts of Rotating Machines. 08 I 04/02/2019 Calculation of air gap mmf. 09 I 05/02/2019 Calculation of per phase machine inductance using physical machine

data; Voltage and torque equation of dc machine. 10 II 06/02/2019 Three phase symmetrical induction machine. 11 II 11/02/2019 Salient pole synchronous machines in phase variable form. 12 II 12/02/2019 Reference frame theory to three phase 13 II 13/02/2019 Application of reference frame theory to three phase symmetrical

induction and synchronous machines. 14 II 18/02/2019 Application of reference frame theory to three phase symmetrical

induction and synchronous machines.

15 II 19/02/2019 Dynamic direct axis modelling. 16 II 20/02/2019 Quadrature axis modelling. 17 II 25/02/2019 Dynamic direct and quadrature axis model in arbitrarily rotating

reference frames. 18 II 26/02/2019 Dynamic direct and quadrature axis model in arbitrarily rotating

reference frames. 19 II 27/02/2019 Dynamic direct and quadrature axis model in arbitrarily rotating


reference frames. 20 III 05/03/2019 Determination of Synchronous machine dynamic equivalent circuit

parameters. 21 III 06/03/2019 Determination of Synchronous machine dynamic equivalent circuit

parameters. 22 III 11/03/2019 Determination of Synchronous machine dynamic equivalent circuit

parameters. 23 III 12/03/2019 Analysis of two phase asymmetrical induction machine. 24 III 13/03/2019 Analysis of two phase asymmetrical induction machine. 25 III 25/03/2019 Dynamic modelling of two phase asymmetrical induction machine 26 III 26/03/2019 Dynamic modelling of two phase asymmetrical induction machine 27 III 27/03/2019 Dynamic modelling of two phase asymmetrical induction machine 28 III 01/04/2019 Analysis of Single‐phase induction machine. 29 III 02/04/2019 Analysis of Single‐phase induction machine.


8 CO-PO Mapping

CO’S AND PO’S MAPPINGS


Semester : II



Name of the Faculty: .… Dr B Phaneendra Babu …...… Dept: …………..EEE………… Designation: Professor

Course Code

Course Title

Course

Outcomes

Program Outcomes

a b c d e f g h i j k l

GR18D5073

MMA

1 H H H H M M M M H H H

2 M M M M M M M H H H

3 M M M H H H H

4 M H H H H H H H

5 M M M M M M M M

Program Educational Objectives (PEOs) – Vision/Mission Matrix (Indicate the relationships by mark “X”)

Vision/Mission PEOs

Vision of the Institute

Mission of the Institute

Mission of the Program

1 X X 2 X X X 3 X X X 4 X X


2. Program Educational Objectives (PEOs) –Vision/Mission Matrix

Mission of department

PEOs Higher Contemporary Technical Research

Learning Education knowledge

Graduates will have a successful

technical or professional careers,X X X X

including supportive and leadership

roles on multidisciplinary teams

Graduates will be able to acquire, use

and develop skills as required for X X

effective professional practices

Graduates will be able to attain

holistic education that is an essential X X

prerequisite for being a responsible

member of society

Graduates will be engaged in life-

long learning, to remain abreast inX X X

their profession and be leaders in our

technologically vibrant society.

3. Course Objectives-Course Outcomes Relationship Matrix (Indicate the relationships by

mark“X”)

Course-Outcomes Course-Objectives

1 2 3 4 5

1 X X

2 X X

3 X X

4 X X

5 X X X

4.Courses (with title & code)-Program Outcomes (POs) Relationship Matrix (Indicate the relationships by mark “X”)

P-Outcomes Courses


Machine modelling Analysis (GR18D5073)

X X X X X X X X X X X X


5.Program Educational Objectives (PEOs)-Course Outcomes RelationshipMatrix

(Indicate the relationships by mark “X”)

P-Objectives (PEOs) Course-Outcomes

1 2 3 4

1 X X X

2 X X X X

3 X X X X

4 X X X

5 X X X

6.Assignments & Assessments-Program Outcomes (POs) RelationshipMatrix(Indicate the relationships by mark “X”

P-Outcomes Assessments


1 X X X X X X X X 2 X X X X X X X 3 X X X X 4 X X X X X X X X5 X X X X X X

7.Assignments & Assessments-Program Educational Objectives (PEOs) Relationship Matrix (Indicate the relationships by mark“X”)

P-Objectives (PEOs) Assessments

1 2 3 4

1 X X X2 X X X X3 X X X4 X X5 X X X X


9 CO-Cognitive Level Mapping

Cognitive Level Mapping

Subject :__Machine modelling Analysis (GR18D5073)_________

CO Cognitive Learning Level

1 2 3 4 5 6

1 X X X X

2 X

3 X X

4 X X X

5 X X X

Cognitive Learning Levels:

CLL1: Remembering

CLL2: Understanding

CLL3: Applying

CLL4: Analyzing

CLL5: Evaluating

CLL6: Creating

10 Lecture Notes

*** Attached***


11 Tutorial Sheets With Solution

ASSIGNMENT / TUTORIAL SHEET – (for units 1 to 5)


Semester : II





Please write the Questions / Problems / Exercises which you would like to give to the students and also mention the Objectives/Outcomes to which these Questions / Problems / Exercises are related.

Signature of HOD Signature of faculty Date: Date:


12 Soft Copy of Notes/Ppt/Slides

*** soft copies of notes/ppts are mailed and printouts of ppts are filed***

13 Sessional Question Paper and Scheme of Evaluation

EVALUATION STRATEGY Academic Year : 2018-2019

Semester : II



Name of the Faculty: .… Dr B Phaneendra Babu …...… Dept: …………..EEE………… Designation: Professor 1.TARGET: a) Percentage for pass:40%

b) Percentage of class:85%

2.COURSE PLAN& CONTENT DELIVERY (Please write how you intend to cover the contents: i.e., coverage of Units/Lessons by lectures, design, exercises, solvingnumericalproblems, demonstrationofmodels,modelpreparation, experiments in the Lab., orbyassignments,etc.) 3. METHOD OF EVALUATION

3.1 Continuous Assessment Examinations (CAE‐I, CAE‐II) 3.2 Assignments/Seminars

3.3 Quiz

3.4 Semester/End Examination

4. List out any new topic(s) or any innovation you would like to introduce in teaching the subjects in this Semester.

Introduced PMSM, SRM modelling for EV applications…………………………………………………………………………………………………..

Signature of HOD Signature of faculty

Date: Date:


14 Best, Average and Weak Answer Scripts for Each Sessional Exam. (Photocopies)


15 Assignment Questions and Solutions

Attached

16 Previous University Question Papers

17 Result Analysis

M.Tech EEE Power Electronics II SEM RESULT ANALYSIS OF 2018‐2020 BATCH


Semester : II



Name of the Faculty: .… Dr B Phaneendra Babu …...… Dept: …………..EEE………… Designation: Professor ACADEMIC YEAR 2018‐2019 TOTAL. NO. OF STUDENTS REGISTERED = 19

Subject

Total

No. of

students

appeared

No. of

student

s

passed

No. of

student

s failed

GRADE =10

GRADE=9

GRADE=8

GRADE=7

GRADE=6

GRADE=5

Pass

percen

tage

(%)

FACTS 19 19 00 00 01 11 06 00 00 100

SG 19 19 00 01 04 08 04 02 00 100

PQ Lab 19 19 00 07 11 01 00 00 00 100

MAEM 19 19 00 00 02 07 05 05 00 100

DCPEDS 19 19 00 01 08 06 04 00 00 100

DSP Lab 19 19 00 01 02 09 06 01 00 100

Mini Proj. 19 18 01 01 07 04 05 01 00 94.73

PS 19 19 00 00 13 06 00 00 00 100

Overall pass (passed in all subjects) =18/19 (95%)


18 Feedback from Students

19 RUBRICS

RUBRIC

S.No. Student Name Performance

Criteria

Unsatisfactory Developing Satisfactory Exemplary Score

1 2 3 4

1 Sravya D

(18241D4303)

Research & Gather

Information

Does not collect any information

that relates to

Collects very little

information some relates

Collects some basic Information most relates

Collects a great deal of

Information all relates to the

5

Fulfill team role’s duty

Does not perform any

duties of assigned

Performs very little duties.

Performs nearly all duties.

Performs all duties of assigned team role

5

Share Equally Always relies on others to do the work.

Rarely does the assigned work - often

needs

Usually does the assigned

work -

Always does the assigned work without having to be

5

Listen to other team mates

Is always talking—never allows anyone else to speak

Usually doing most of the

talking-- rarely allows others

Listens, but sometimes

talks too much

Listens and speaks a fair

amount. 5

Average score 5

2 K Aditya

(18241D4306)

Research & Gather

Information


that relates to






4



duties of assigned




4



needs


work -


3







talks too much


amount. 4

Average score 4

3 Sai Suraj

(18241D4319)

Research & Gather

Information


that relates to






2



duties of assigned




2



needs


work -


2






talks too much


amount. 2

Average score 2

[Type text]

COURSE COMPLETION STATUS Academic Year : 2018-2019

Semester : II




Actual Date of Completion & Remarks, if any No. of No. of

Units Remarks Objectives Outcomes Achieved Achieved

Unit 1 Completed on 05/02/2019 CO1, CO2 CO1, CO2

Unit 2 Completed on 27/02/2019 CO2 CO2

Unit 3 Completed on 10/04/2019

CO3 CO3 Unit 4 Completed on 30/04/2019

CO4 CO4 Unit 5 Completed on 19/06/2019

CO5 CO5 Signature of HOD Signature of faculty

Date: Date:

Note: After the completion of each unit mention the number of Objectives & Outcomes Achieved.

[Type text]

20 CO Attainment for All Mids.

S.No 1 CO1 2a CO1 2b CO2 3 CO2 4 Co3 5 CO3 6 CO3 Total

Marks 5 2.5 2.5 5 5 5 5 2018241D4301 5 1 4 2 1218241D4302 4 2 5 2 1318241D4303 5 2.5 2.5 5 1 1618241D4304 5 2.5 4 4 15.518241D4305 4 2 2 4 1218241D4306 5 2.5 2 5 5 19.518241D4307 4 1.5 4.5 4 1418241D4308 5 2 5 1218241D4309 5 2 2 4.5 13.518241D4310 2.5 1.5 1.5 5.518241D4311 2 2 418241D4312 5 2.5 2.5 5 1.5 16.518241D4313 5 5 2 1218241D4314 4.5 2.5 2.5 4 13.518241D4315 5 2 5 1218241D4316 5 5 2 2.5 14.518241D4317 5 5 5 5 2018241D4318 4 4 4 1218241D4319 0 3 0 3

Total 75.00 31.50 15.00 65.00 31.00 10.00 13.00 NSA 17.00 15.00 7.00 15.00 9.00 4.00 4.00

Attempt%=(NSA/No of students)*100

89.47 78.95 36.84 78.95 47.37 21.05 21.05

Average= Total/NSA 4.41 2.10 2.14 4.33 3.44 2.50 3.25 Attainment % =

(Total/max marks*no.of students

attempted)*100 88.24 84.00 85.71 86.67 68.89 50.00 65.00

Q.No 1 CO1 2a CO1 2b

CO2 3 CO2 4 Co3

5 CO3

6 CO3

CO 5.00 2.50 2.50 5.00 5.00 5.00 5.00

INTERNALS CO's CO1 86.1 CO2 86.2 CO3 67.5 CO4 57.2 CO5 47.1

[Type text]

M.Tech II Sem Mid II Course Attainments (2018-19) MMA (GR18D5073)

S.No 1

CO3 2

CO3

3aCO4 3b

CO4 4 Co4

5 CO5

6 CO5 Total

Marks 5 5 2.5 2.5 5 5 5 2018241D4301 2 1.5 1.5 4 918241D4302 5 3 818241D4303 5 0 2 2 4 4 1718241D4304 4 1.5 1.5 4 4 1518241D4305 4 3 718241D4306 2 4 5 1118241D4307 3 2 2 1 818241D4308 4 2 2 5 4 1718241D4309 4 4 818241D4310 1 2 318241D4311 2 4 4 1018241D4312 2 2 418241D4313 3 2 518241D4314 4 418241D4315 4 1.5 1.5 5 1218241D4316 2 2 4 818241D4317 3 2 4 2 1118241D4318 2 2 4 4 1218241D4319 2 0 2 2 2 3 11

Total 37.00 15.00 16.50 14.50 43.00 52.00 2.00 NSA 12.00 7.00 9.00 9.00 13.00 14.00 2.00

Attempt%=(NSA/No of students)*100

63.16 36.84 47.37 47.37 68.42 73.68 10.53

Average= Total/NSA 3.08 2.14 1.83 1.61 3.31 3.71 1.00 Attainment % = (Total/max

marks*no.of students attempted)*100 61.67 85.71 73.33 32.22 66.15 74.29 20.00

Q.No 1

CO3 2

CO3

3aCO4 3b

CO4 4 Co4

5 CO5

6 CO5

CO 5.00 5.00 2.50 2.50 5.00 5.00 5.00

[Type text]

21 Remedial Action.

*** in case if any remedial action /classes are conducted the information will be filed ***

GUIDELINES TO STUDY THE COURSE/SUBJECT Guidelines to study the Course/ Subject: MAEM Course Design and Delivery System (CDD):

The Course syllabus is written into number of learning objectives and outcomes. These learning objectives and outcomes will be achieved through lectures,

assessments, assignments, experiments in the laboratory, projects, seminars, presentations, etc.

Every student will be given an assessment plan, criteria for assessment, scheme of evaluation and grading method.

The Learning Process will be carried out through assessments of Knowledge, Skills and Attitude by various methods and the students will be given guidance to refer to the text books, reference books, journals, etc.

The faculty be able to –

Understand the principles of Learning Understand the psychology of students Develop instructional objectives for a given topic Prepare course, unit and lesson plans Understand different methods of teaching and learning Use appropriate teaching and learning aids Plan and deliver lectures effectively

Provide feedback to students using various methods of Assessments and tools of

Evaluation Act as a guide, advisor, counselor, facilitator, motivator and not just as a teacher alone

Signature of HOD Signature of faculty Date: Date:

[Type text]

ILLUSTRATIVE VERBS FOR STATING

INSTRUCTIONAL OBJECTIVES

These verbs can also be used while framing questions for Continuous Assessment Examinations as well as for End – Semester (final)Examinations

ILLUSTRATIVE VERBS FOR STATING GENERAL OBJECTIVES/OUTCOMES

Know Understand

Design

ILLUSTRATIVE VERBS FOR STATING SPECIFIC OBJECTIVES/OUTCOMES:

A. COGNITIVE DOMAIN (KNOWLEDGE)

1 2 3 4 5 6

Comprehension Application Analysis EvaluationKnowledge Understanding of knowledge & Of whole w .r.t. its Synthesis

comprehension constituents Judgment

Define Convert Demonstrate Categorize Differentiate Compare

Identify Describe (a Combine Prepare Discriminate Procedure) Design Relate Distinguish Distinguish Generate Show Separate Plan Explain why/how Solve

B. AFFECTIVE DOMAIN C. PSYCHOMOTOR DOMAIN (SKILLS) (ATTITUDE)

Assist Select Bend Dissect Insert Perform Straighten

Change Develop Calibrate Draw Keep Prepare Strengthen

Compress Extend Elongate Remove Time

Conduct Feed Limit Replace Transfer

Connect File Manipulate Report Type

Convert Grow Move Precisely Reset Weigh

Decrease Increase Paint Set

[Type text]

Department of Electrical Electronics Engineering files/M.Tech... · 10 Lecture Notes YES 11...

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