HOLY ANGEL UNIVERSITY College of Engineering & Architecture Department of Computer Engineering

University Vision, Mission, Goals and Objectives:

Mission Statement (VMG)

We, the academic community of Holy Angel University, declare ourselves to be a Catholic University. We dedicate ourselves to our core purpose, which is to provide accessible quality education that transforms students into persons of conscience, competence, and compassion. We commit ourselves to our vision of the University as a role-model catalyst for countryside development and one of the most influential, best managed Catholic universities in the Asia-Pacific region. We will be guided by our core values of Christ-centeredness, integrity, excellence, community, and societal responsibility. All these we shall do for the greater glory of God. LAUS DEO SEMPER! College Vision, Goals and Objectives: Vision

A center of excellence in engineering and architecture education imbued with Catholic mission and identity serving as a role-model catalyst for countryside development

Mission

To provide accessible quality engineering and architecture education leading to the development of conscientious, competent and compassionate professionals who continually contribute to the advancement of technology, preserve the environment, and improve life for countryside development.

Goals

The College of Engineering and Architecture is known for its curricular programs and services, research undertakings, and community involvement that are geared to produce competitive graduates:

- who are equipped with high impact educational practices for global employability and technopreneurial opportunities;

- whose performance in national licensure examinations and certifications is consistently above national passing rates and that falls within the 75th to 90th percentile ranks; and,

- who qualify for international licensure examinations, certifications, and professional recognitions;

Objectives

In its pursuit for academic excellence and to become an authentic instrument for countryside development, the College of Engineering and Architecture aims to achieve the following objectives:

1. To provide students with fundamental knowledge and skills in the technical and social disciplines so that they may develop a sound perspective for competent engineering and architecture practice;

2. To inculcate in the students the values and discipline necessary in developing them into socially responsible and globally competitive professionals;

3. To instill in the students a sense of social commitment through involvement in meaningful community projects and services;

4. To promote the development of a sustainable environment and the improvement of the quality of life by designing technology solutions beneficial to a dynamic world;

5. To adopt a faculty development program that is responsive to the continuing development and engagement of faculty in research, technopreneurship, community service and professional development activities both in the local and international context;

6. To implement a facility development program that promotes a continuing acquisition of state of the art facilities that are at par with leading engineering and architecture schools in the Asia Pacific region; and,

7. To sustain a strong partnership and linkage with institutions, industries, and professional organizations in both national and international levels.

Relationship of the Program Educational Objectives to the Vision-Mission of the University and the College of Engineering & Architecture:

Computer Engineering Program Educational Outcomes (PEOs):

Within a few years after graduation, our graduates of the Computer Engineering program are expected to have:

Vision-Mission

Christ-Centeredness

Integrity Excellence Community Societal

Responsibility

1. Practiced their profession

2. Shown a commitment to life-long learning

3. Manifested faithful stewardship

Relationship of the Computer Engineering Program Outcomes to the Program Educational Objectives:

Computer Engineering Student Outcomes (SOs): At the time of graduation, BS Computer Engineering program graduates should be able to:

PEOs

1 2 3

a) Apply knowledge of mathematics, physical sciences, and engineering sciences to the practice of Computer Engineering.

b) Design and conduct experiments, as well as to analyze and interpret data

c) 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, in accordance with standards

d) Function on multidisciplinary teams

e) Identify, formulate and solve engineering problems

f) Have an understanding of professional and ethical responsibility

g) Demonstrate and master the ability to listen, comprehend, speak, write and convey ideas clearly and effectively, in person and through electronic media to all audiences.

h) Have broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context

i) Recognition of the need for, and an ability to engage in life-long learning and to keep current of the development in the field

j) Have knowledge of contemporary issues

k) Use the techniques, skills, and modern engineering tools necessary for engineering practice.

l) Have knowledge and understanding of engineering and management principles as a member and leader in a team, to manage projects and in multidisciplinary environments.

COURSE SYLLABUS

Course Title: FEEDBACK AND CONTROL SYSTEMS Course Code: FCONSYS-ECE

Course Credit: 3 units Year Level: 5th year

Pre-requisite: CKTS1, CKTS2, ADVMATH Course Calendar: 1st semester, AY2016-2017

Course Description: The course includes the control devices, equations of a systems and block diagram of systems.

Course Outcomes (COs): After completing this course, the students should be able to:

Relationship to the Program Outcomes:

a

b

c

d e f g h I j k l

1) describe various mathematical solutions of systems exhibiting feedback and control mechanisms and their operation.

E E E E E E

2) apply learned concepts to develop mathematical model of feedback and control systems.

E I E E E E E

3) analyze the operation and response of the feedback and control systems.

E I E E E E E

COURSE ORGANIZATION

Time Frame

Hours Course Topics Course

Outcomes Teaching Learning

Activities

Assessment Tools

Resources

Week 1-3

9 Introduction to Feedback Control Systems

Control system terminology

Review of Laplace Transforms

CO1

Lecture

Class Discussion with Visual Presentation

Active class participation

Quiz

Seatwork

A1, combined with other course references

Week 4-6

9 Introduction to system modeling and the transfer function

Introduction to LTI Systems

The concept of linearization

Poles and Zeros of transfer functions and interpretation of the pole-zero map

CO1 CO2

Lecture

Demonstrate mathematical modeling of simple circuits

Active class participation

Quiz

Assignments

Board work

Major Exam

A1, combined with other course references

PRELIMINARY EXAMINATION

Week 7-9

9 Introduction to time response and different types of test signal

First-order and second-order LTI system transient response analysis

Block diagram representation of systems and block diagram reduction

CO1 CO2 CO3

Lecture

Class Discussion

Collaborative Learning

Problem Solving

Quiz

Group work

Presentation of assigned task per group

A1, combined with other course references

Week 10-12

9 Signal Flow graphs

Stability Theory and Analysis using Routh-Hurwitz Criterion

CO1 CO2 CO3

Lecture

Problem Solving

Quiz

Seatwork

Major Exam

A1, combined with other course references

Steady-state Errors

MIDTERM EXAMINATION

Week 13-15

9 Sensitivity and Disturbance rejection

Root Locus properties and sketching

Controllers, Compensators, PID Controller

CO1 CO2

Lecture

Class Discussion with visual presentation

Problem Solving

Quiz

Assignments

A1, combined with other course references

Week 16-18

9 Frequency response analysis: Bode plot, Nyquist diagram, and Nichols chart

Introduction to State-space concepts and applications

CO1 CO2 CO3

Lecture

Class Discussion with visual presentation

Problem Solving

Quiz

Assignments

Major Exam

A1, combined with other course references

FINAL EXAMINATION

Course References:

A. Basic Readings

1) Nise, Norman S. (2011). Control Systems Engineering. John Wiley & Sons (Asia) Pte Ltd.

B. Extended Readings (Books, Journals)

1) Dorf, Richard C. and Bishop, Robert H. (2011). Modern Control Systems 12th Ed. Pearson Education, Inc. 2) Gopal, M. (2008). Control Systems Principles and Design. Tata McGraw-Hill Publishing Co. Inc. 3) Singh, Y. (2011). Modern Control Engineering. Cengage Learning Asia Pte. Ltd.

C. Web References 1) http://www.freestudy.co.uk/control/t3.pdf 2) http://www.engin.umich.edu/group/ctm/

Course Requirements and Policies

1. 3 Major Exams(PRELIMS, MIDTERMS, FINALS) 2. 6 Quizzes 3. Maximum Allowable Absences: 10 (held 3 times a week); 7 (held 2 times a week) Aside from academic deficiency, other grounds for failing grade are: 1. Grave misconduct and/or cheating during examinations. 2. A failing academic standing and failure to take graded exams. 3. Unexcused absences of more than the maximum allowable absences per term.

Grading System:

Class Standing

Quizzes/Seat works/Assignment (60%)

3 Major Exams (40%) TOTAL (100%)

CAMPUS++ COLLEGE ONLINE GRADING SYSTEM

Legend: (All Items in Percent) CSA Class Standing Average for All Performance Items (Cumulative) P Prelim Examination Score M Midterm Examination Score

F Final Examination Score MEA Major Exam Average PCA Prelim Computed Average MCA Midterm Computed Average FCA Final Computed Average Computation of Prelim Computed Average (PCA)

CSA =

MEA = P PCA = (60%)(CSA) + (40%)(MEA) Computation of Midterm Computed Average (MCA)

CSA =

MEA =

MCA = (60%)(CSA) + (40%)(MEA) Computation of Final Computed Average (FCA) CSA =

MEA =

FCA = (60%)(CSA) + (40%)(MEA) Passing Percent Average: 50 Transmutation Table

6.00 Failure due to absences 8.00 Unauthorized or unreported withdrawal

Note: A student's Computed Average is a consolidation of Class Standing Percent Average and Major Exam Percent Average.

Date Revised: Date Effectivity: Prepared By: Checked By: Approved By:

June 2016 June 2016 Engr. Isabelita B. Pabustan ECE Faculty

Engr. Gerard C. Cortez Chairperson, CpE Department

Dr. Ma. Doris C. Bacamante Dean, College of Engineering and Architecture