Vision, Mission, Goals and Objectives

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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:

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- 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 75^th to 90^th 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.

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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     

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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   

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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.   

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COURSE SYLLABUS

Course Title: DIGITAL SIGNAL PROCESSING LABORATORY Course Code: DSPL

Course Credit: 1 unit Year Level: 4^th year

Pre-requisite: Co-Req DSP Course Calendar: 2^nd Semester, AY2016-2017

Course Description:

DSP deals primarily with spectral analysis, convolution, correlation, Fourier transform, Discrete Fourier Transform (DFT), Fast Fourier Transform (FFT), z-transform, FIR/IIR Filtering, and applications of signal processing to speech and image.

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) Apply knowledge of mathematics appropriate in the

analysis of signal spectra and signal processing. D D D D D E D

2) Conduct experiments, analyze data and interpret the

results obtained. D D D D D E D

COURSE ORGANIZATION

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Time

Frame Hours Course Outline

Course Outcomes

Teaching Learning

Activities Assessment Tools Resources Week

1-3

9 1. Introduction to MATLAB

 Evaluate Complex variables and expressions

 Generate and Plot complex valued functions

 Vectors and Matrices

 Storing results and M-Files

 Creation of Function in MATLAB

CO1 CO2

 Laboratory Orientation

 Course Orientation

 Lecture on Introduction to MATLAB Programming with hands-on exercises

 Visual Presentation

 Individual Experiment

 Short exercises prior to

experiment

 Oral

Questioning

 Checking of individual program output

 Experiment Report

A1, combined with other course references

Week 4-6

9 2. Discrete Time Signal Generation

 Periodic and Aperiodic sequence

 Energy and Power

 Generate unit step and unit sample sequences

 Generate exponential sequence and sinusoidal sequences

Other Signal Waveform Generation

 Uniform random signal

 Square wave, sawtooth, and triangular

 waveforms

CO1 CO2

 Short Lecture on the experiment

 Oral

Questioning

 Major Exam

Week 3 3. Sampling of Continuous Time Signal CO1  Short Lecture on  Checking of

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7  Sampling Process in the time-domain

 Some Audio Effects - Flip

- Downsampling - Upsampling

CO2 the experiment

individual program output

 Oral

Questioning

Week 8-10

9 4. Music Synthesis CO1

CO2

 Lecture on Music Synthesis and

enhancement

 Audio Visual Presentation

 Group sharing

 Project

 Project Presentation

 Oral

Questioning

Week 11

3 5. LTI System and Convolution CO1

CO2

 Major Exam (Programming)

Week 12-14

9 6. Z-Transform and Discrete Fourier Transform

7. Filtering Concept 8. Fast Fourier Transform

 Determine the frequency content of signals

 FFT on simple speech recognition

CO1 CO2

 Oral

Questioning

 Experiment

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Report Week

15-18

12 9. Introduction to Digital Image Processing 10. Creating GUI for Signal Processing

CO1 CO2

 Lecture on the experiment

 Lecture with hands-on exercises on Creation of MATLAB GUI

 Audio Visual Presentation

 Discussion of Final project

 Project Presentation (This will serve as the Final Exam)

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Course References:

A. Basic Readings

1) Mitra, Sanjit K. (2011). Digital Signal Processing: A Computer-Based Approach. McGraw-Hill Companies Inc.

B. Extended Readings (Books, Journals)

1) Cha, Philip D. and Molinder, John I. (2007). Fundamentals of Signals and Systems. Cambridge University Press 2) Gopalan, K. (2009). Introduction to Signal and Systems Analysis. Cengage Learning

3) Proakis, John G. (2000). Digital Signal Processing: Principles, Algorithms, and Applications. Pearson Education Asia Pte Ltd.

4) Schilling, Robert J. (2012). Introduction to Digital Signal Processing using MATLAB. Cengage Learning C. Web References

1) http://101science.com/dsp.htm

2) https://raspberry.kenet.or.ke/index.php/Digital_Signal_Processing

3) http://www.radio-electronics.com/info/rf-technology-design/digital-signal-processing/dsp-basics-tutorial.php

Course Requirements and Policies

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1. 3 Major Exams(PRELIMS, MIDTERMS, FINALS) 2. Experiments

3. Research Paper or Project

4. Maximum Allowable Absences: 3

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

Experiments/Assignments (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

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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)

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Passing Percent Average: 60 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.

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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