• Tidak ada hasil yang ditemukan

holy angel university

N/A
N/A
Protected

Academic year: 2023

Membagikan "holy angel university"

Copied!
11
0
0

Teks penuh

(1)

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:

(2)

- 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.

(3)

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 √ √ √

(4)

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 √ √ √

(5)

a team, to manage projects and in multidisciplinary environments.

COURSE SYLLABUS

Course Title Circuits 2 Lecture Course Code CKTS2

Course Credit 3 Units Year Level 3rd year

Pre-requisite: Circuits 1 Lecture, Circuits 1 Laboratory Course Calendar 2nd Semester, AY2016-17 Course Description:

The subject covers the steady state frequency domain analysis of RLC circuits driven by sinusoidal voltage/current source(s);

impedance bridge circuits; application of mesh/nodal analysis and network theorems in AC circuit analysis; concepts of power and power factor correction in AC circuits; resonant and tuned circuits; two port network analysis; analysis of dynamic circuits with AC excitation.

Course Outcomes (COs):

After completing this course, the students will be able to:

Relationship to the Student Outcomes:

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

1. Develop the students’ logical thinking and ability to analyze AC linear circuits both in the time domain and frequency domain using the same principles learned from Circuits 1.

E E E

2. Develop students’ understanding of the concept of power and power factor correction in networks with sinusoidal excitation.

E E E

3. Develop analytical skills in determining the parameters of a two-port network and in analyzing dynamic circuits with AC excitation.

E E E

(6)

COURSE ORGANIZATION Time

Frame Hours Course

Outcomes Course Topics Teaching Learning

Activities Assessment Tools Resources Week

1 3 CO 1 1. Sinusoids and

Phasors 1.1 Sinusoids

Lecture, Class discussion and problem solving

Problem Set Examination

(Written) All References

Week

2 3 CO 1 1.2 Phasors

1.3 Phasor

Relationships for Circuit Elements

Lecture, Class discussion and problem solving

Problem Set Examination

(Written) All References

Week

3 3 CO 1 1.4 Impedance and

Admittance Lecture, Class discussion and problem solving

Problem Set Examination

(Written) Recitation/Board

Work Assignment

All References

Week

4 3 CO 1 1.5 Kirchhoff’s Laws

Using Phasors Lecture, Class discussion and problem solving

Problem Set Examination

(Written) Recitation/Board

Work Assignment

All References

Week

5 3 CO 1 1.6 Impedance

Combinations Lecture, Class discussion and problem solving

Problem Set Examination

(Written) All References

Week

6 3 CO 1 2. Sinusoidal Steady-

State Analysis 2.1 Nodal Analysis

Lecture, Class discussion

and problem solving Prelim Exam

Problem Solving All References

(7)

Week

7 3 CO 1 2.2 Mesh Analysis Lecture, Class discussion and problem solving.

Problem Set Examination

(Written) Recitation/Board

Work Assignment

All References

Week

8 3 CO 1 2.3 Superposition

Theorem 2.4 Source Transformation

Lecture, Class discussion and problem solving.

Problem Set Examination

(Written) Recitation/Board

Work Assignment

All References

Week

9 3 CO 1 2.5 Thevenin and

Norton Equivalent Circuits

Lecture, Class discussion

and problem solving Problem Set Examination

(Written) Recitation/Board

Work Assignment

All References

Week

10 3 CO 1, 2 3. AC Power Analysis 3.1 Instantaneous and

Average Power 3.2 Maximum Average

Power Transfer

Lecture, Class discussion and problem solving

Problem Set Examination

(Written) All References

Week 11

3 CO 1, 2 3.3 Effective or RMS Value

3.4 Apparent Power and Power Factor

Lecture, Class discussion and problem solving

Problem Set Examination

(Written)

All References

Week

12 3 CO 1, 2 3.5 Complex Power

3.6 Power Factor Correction

Lecture, Class discussion

and problem solving Midterm Exam

Problem Solving All References

(8)

Week

13 3 CO 1 4. Resonant and Tuned

Circuits

4.1 Series Resonance

Lecture, Class discussion

and problem solving Problem Set Examination

(Written) All References

Week

14 3 CO 1 4.2 Parallel

Resonance

Lecture, Class discussion

and problem solving Problem Set Examination

(Written) All References

Week 15

3 CO 1 4.3 Tuned Circuits Lecture, Class discussion

and problem solving Problem Set Examination

(Written)

All References

Week

16 3 CO 1, 3 5. Two Port Networks 5.1 Impedance

Parameters 5.2 Admittance

Parameters

Lecture, Class discussion and problem solving

Problem Set Examination

(Written) All References

Week

17 3 CO 1, 3 5.3 Hybrid

Parameters 5.4 Transmission

Parameters

Lecture, Class discussion

and problem solving Problem Set Examination

(Written) All References

Week

18 3 CO 1, 3 6. Analysis of

Dynamic Circuits with AC

Excitation

Lecture, Class discussion

and problem solving Final Exam

Problem Solving All References

(9)

Course References:

A. Extended Readings (Books, Journals)

1. Alexander ,C.K., & Sadiku, M.N. (2009). Fundamentals of circuit analysis (4thed.). Boston: McGraw-Hill.

2. Dorf, R.C. (2011). Introduction to electric circuits (8th ed.). New Jersey: John Wiley.

3. Floyd, T. L. (2007).Electric circuits fundamentals (7th ed.). New Jersey: Pearson.

4. Hambley, A.R. (2014). Electrical engineering: Principles and application (6th ed.). New Jersey: Pearson Education.

5. Hayt W. H., Kemmerly, J.E., & Durbin, S.M. (2012). Engineering circuit analysis (8th ed.). New York: McGraw-Hill.

6. Nahvi, M., & Edminister, J. A. (2014). Schaum’s outlines: Electric circuits (6th ed.). New York: McGraw-Hill.

7. Rizzoni G. (2003). Principles and applications of electrical engineering (4th ed.). Boston: McGraw-Hill.

8. Robbins, A. H., & Miller, W.. (2004). Circuit analysis: Theory and practice (3rd ed.). Australia: Thomson.

9. Theraja, B.L., & Theraja, A.K. (1997). A textbook of electrical technology. New Delhi: S. Chand & Company

B. Web References

http://www. Allaboutcircuits.com

(10)

Course Requiremen ts

1) 3 Major Exams (Prelims, Midterms, and Finals) 2) 6 Quizzes

3) Assignments &Board work/recitations

Grading System

Class Standing/Quizzes (60%) 3 Major Exams (40%)

TOTAL (100%) Passing Grade (50%)

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)

(11)

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

May 2016 Nov. 2016 Meden C. Pare Ojay DL. Santos Maria Doris C.

Bacamante

CSA =

MEA =

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

Transmutation Table

Range of Computed Averages Range of Transmuted Values Grade General Classification

94.0000 – 100.0000 97 – 100 1.00 Outstanding

88.0000 – 93.9999 94 – 96 1.25 Excellent

82.0000 – 87.9999 91 – 93 1.50 Superior

76.0000 – 81.9999 88 – 90 1.75 Very Good

70.0000 – 75.9999 85 – 87 2.00 Good

64.0000 – 69.9999 82 – 84 2.25 Satisfactory

58.0000 – 63.9999 79 – 81 2.50 Fairly Satisfactory

52.0000 – 57.9999 76 – 78 2.75 Fair

50.0000 – 51.9999 75 3.00 Passed

Below Passing Average 5.00 Failed

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.

Course Policies

Maximum Allowable Absences: 10 (held 3 times a week); 7 (held 2 times a week)

Referensi

Dokumen terkait

Dari rasio kinerja keuangan perusahaan yang terdiri dari variabel Earning Per Share, Price Earing Ratio, dan Return On Assets sesuai hasil penelitian variabel yang

The reactive current is set by the following steps: 1, measure the load powers and derive the average load power as 7; 2, find the difference between each load power and the average load