POLYTECHNIC UNIVERSITY OF THE PHILIPPINES
OFFICE OF THE VICE PRESIDENT FOR ACADEMIC AFFAIRS/OVPBSC
College of Engineering/ Mabini Campus
Computer Engineering
Outcomes-based course syllabus
COURSE INFORMATION
Course
Code
CMPE
30244
Course Description
Pre-Requisites
Course Title
Digital signal Processing
Course Credit
4 Units
This course includes the need for and tradeoffs made when sampling and quantizing a signal; linear, time-invariant system properties; frequency as an
analysis domain complementary to time; and filter design.
Co-Requisites
CMPE 30113
Digital signal Processing Lab.
PUP: The National Polytechnic University
(PUP: Pambansang Politeknikong Unibersidad)
VISION
Ensuring inclusive and equitable quality education and promoting lifelong learning opportunities through a re-engineered polytechnic
university by committing to:
MISSION
✔
✔
✔
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✔
QUALITY POLICY STATEMENT
provide democratized access to educational opportunities for the holistic development of individuals with global perspective
offer industry-oriented curricula that produce highly-skilled professionals with managerial and technical capabilities and a strong sense
of public service for nation building
embed a culture of research and innovation
continuously develop faculty and employees with the highest level of professionalism
engage public and private institutions and other stakeholders for the attainment of social development goal establish a strong presence
and impact in the international academic community
The Polytechnic University of the Philippines commits to provide inclusive and equitable quality education and promote
lifelong learning opportunities for human advancement and social transformation through re-engineered polytechnic
academic programs. Toward this end, we, the members of the PUP Community will vigorously and steadfastly endeavor to
continuously improve the standard of university services to the satisfaction of our clients through the adoption and continuous
review of our Quality Management System.
1. Creative and Critical Thinking. Graduates use their imaginative as well as a rational thinking ability to life situations in order
push boundaries, realize possibilities, and deepen their interdisciplinary and general understanding of the world.
2. Effective Communication. Graduates are proficient in the four macro skills in communication (reading, writing, listening,
and speaking) and are able to use these skills in solving problems. Making decisions, and articulating thoughts when
engaging with people in various circumstances.
1
POLYTECHNIC UNIVERSITY OF THE PHILIPPINES
OFFICE OF THE VICE PRESIDENT FOR ACADEMIC AFFAIRS/OVPBSC
College of Engineering/ Mabini Campus
Computer Engineering
INSTITUTIONAL LEARNING OUTCOMES
(ILO)
COLLEGE GOALS
PROGRAM LEARNING OUTCOMES
(PLO)
3. Strong Service Orientation. Graduates exemplify the potentialities of an efficient, well-rounded and responsible
professional deeply committed to service excellence.
4. Community Engagement. Graduates take an active role in the promotion and fulfillment of various advocacies
(educational, social and environmental) for the advancement of community welfare.
5. Adeptness in the Responsible Use of Technology. Graduates demonstrate optimized use of digital learning abilities,
including technical and numerical skills.
6. Passion to Lifelong Learning. Graduates are enabled to perform and function in the society by taking responsibility in their
quest to know more about the world through lifelong learning.
7. High Level of Leadership and Organizational Skills. Graduates are developed to become the best professionals in their
respective disciplines by manifesting the appropriate skills and leaderships qualities.
8. Sense of Personal and Professional Ethics. Graduates show desirable attitudes and behavior either in their personal and
professional circumstances.
9. Sense of National and Global Responsiveness. Graduates’ deep sense of national compliments the need to live in a
global village where one’s culture and other people culture are respected.
1. Provide quality education through instruction, advance research and extension services.
2. Produce world-class professionals as potential industry leaders and job providers.
3. Develop and produce facilities through the use of adapted technology and indigenous materials.
4. Maintain, upgrade or improve facilities through the applications of engineering technology.
1
2
3
Alignment to ILOs
4
5
6
1. Apply knowledge of mathematics and science to solve
complex engineering problems.
2. Design and conduct experiments, as well as to analyze and
interpret data.
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, in accordance with
standards;
✓
✓
✓
✓
✓
✓
4. Function on multidisciplinary teams.
✓
5. Identify, formulate, and solve complex engineering problems.
✓
✓
6. Understanding of professional and ethical responsibility.
✓
✓
7. Communicate effectively.
✓
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7
8
9
✓
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POLYTECHNIC UNIVERSITY OF THE PHILIPPINES
OFFICE OF THE VICE PRESIDENT FOR ACADEMIC AFFAIRS/OVPBSC
College of Engineering/ Mabini Campus
Computer Engineering
8. Broad education necessary to understand the impact of
engineering solutions in a global, economic, environmental,
and societal context.
9. Recognition of the need for, and an ability to engage in lifelong learning.
10. Knowledge of contemporary issues.
11. Use techniques, skills, and modern engineering tools
necessary for engineering practice.
12. Knowledge and understanding of engineering and
management principles as a member and leader in a team,
to manage projects and in multidisciplinary environments.
PERFORMANCE INDICATORS
(PI)
✓
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Understand the principles of mathematics, chemistry,
physics, biology, natural and applied sciences including
information technology.
Determine relevant and appropriate applied science,
engineering principles and techniques that can be used
to address engineering concerns related to process
design and operations.
Use relevant information gathered from research
literature and other available technological information
sources in coming out with solutions to complex
engineering problems.
Study, investigate and gather data related to complex
engineering problems and propose solutions based on
the fundamentals of engineering principles while
incorporating ethics, safety and environmental
considerations.
Conceptualize, formulate and implement design of
experiments in a standard scientific manner in
conducting investigations of complex engineering
problems with consideration of cost, quality, security, and
environmental impact.
✓
✓
✓
✓
✓
Alignment to PLOs
4
5
6
7
8
9
✓
✓
✓
✓
1

✓
2
3
✓
✓
✓
✓
✓
3
POLYTECHNIC UNIVERSITY OF THE PHILIPPINES
OFFICE OF THE VICE PRESIDENT FOR ACADEMIC AFFAIRS/OVPBSC
College of Engineering/ Mabini Campus
Computer Engineering

Recommend valid conclusions based on gathered
information and results of investigation.

Be familiar with the appropriate techniques, resources,
and modern engineering and IT tools, including
prediction and modelling, to complex engineering
problems, with an understanding of the limitations.
Recommend the applicable modern tools that can be
used to solve complex engineering problems.
Be familiar with relevant policies, laws, regulations and
technical standards in conjunction with the computer
engineering professional practice.
Prepare plans and designs to address industrial process
problems while taking into consideration moral, ethical
and environmental concerns.
Be familiar with relevant applicable technical and
engineering standards that can be applied in
professional computer engineering practice.
Assess the effects of professional engineering work on
process operational problems.
Gather relevant data in relation to the professional
engineering work.
Be familiar with the professional ethics for computer
engineers and apply and behave according to this code
in professional practice.
Apply ethical principles in conjunction with engineering
practice.
Perform functions required in the completion of a task as
part of a project endeavor or as an employee of a
company.
Interact with peers and higher levels in a professional
manner.
Participate in activities either as e team leader or
member and perform designated tasks.
Prepare reports, presentations and other engineering
documents in an organized way and relay information
related to these effectively.
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✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
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POLYTECHNIC UNIVERSITY OF THE PHILIPPINES
OFFICE OF THE VICE PRESIDENT FOR ACADEMIC AFFAIRS/OVPBSC
College of Engineering/ Mabini Campus
Computer Engineering
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
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Communicate clearly both verbally and in written form
all instructions to peers, subordinates and superiors as
may be deemed necessary.
Organize, coordinate and implement activities or
projects in a clear way.
Plan, lead, organize and control small projects or tasks as
may be deemed necessary in the practice of computer
engineering.
✓
✓
✓
Alignment to PLOs
COURSE LEARNING OUTCOMES
(CLO)
1
1. Define the fundamental concept of Digital Signal
Processing.
✓
2. Describe the broad foundation on the basic DSP theory
to prepare the students in their specialization studies.
✓
3. Describe the most important methods in DSP including
digital filters design, transform-domain processing and
importance of signal processors.
✓
4. Illustrate discrete-time signals analytically and visualize in
time domain.
✓
5. Define the meaning and implications of the properties of
system and signals.
✓
6. Define the transform domain and its significance and
problems related to computational complexity.
✓
2
3
4
5
6
7
8
✓
✓
✓
9
✓
✓
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✓
✓
✓
✓
✓
✓
✓
✓
✓
OUTCOMES-BASED TEACHING AND LEARNING PLAN (OBTL PLAN)
Instructional Delivery Design
Week
Learning
Content/Topics
Desired Learning Outcomes (DLOs)
Face-to-Face
Flexible Teaching and Learning Activities
(FLTAs)
Synchronous
Asynchronous
Alignment to CLOs
Assessment
1
2
3
4
5
6
7
8
9
5
POLYTECHNIC UNIVERSITY OF THE PHILIPPINES
OFFICE OF THE VICE PRESIDENT FOR ACADEMIC AFFAIRS/OVPBSC
College of Engineering/ Mabini Campus
Computer Engineering
1
2
a. Introduction to the course
b. Introduction (Faculty and
Students)
c. Discussion of Course
Syllabus including Grading
System and General rules.
d. Classroom Management
SIGNALS, SYSTEMS AND
SIGNAL PROCESSING
a.
Basic elements of
Digital Signal
Processing System
b.
Advantages of Digital
a. Demonstrate an understanding of what
the subject is all about, what will be in
scope for the semester, and what students
are expected to learn.
b. Communicate with fellow students and
teacher and begin to establish rapport.
c. Identify and explain the course
assessment and validation criteria,
including grading system to understand
how to pass the subject.
d. Explain what are the do’s and don’ts while
the class is on-going
Module 1:



over analog
processing
c.
Analog-to Digital and
Digital-to-Analog
Conversion
CLASSIFICATION OF SIGNALS
3-4

Continuous-time versus
Continuous-valued versus
Deterministic versus
random signals

Periodic and NonPeriodic Signals

Analog and digital signals

Energy and power signals
Explain the fundamentals of signal
theory: analog and digital signals,
periodic and impulse signals, signal and
noise.
Explain the distinction of Digital to
Analog Signals.

Define the conversion of engineering
signals from one form to another.
Module 2:


discrete valued signals

Distinguish the
advantages/disadvantages of DSP over
Analog processing.

discrete-time signals

Understand the basic elements of DSP
and its function.

Explain the methods used in processing
and analyzing the response of a system
to a signal
Demonstrate the condition for a discretetime sinusoid to be periodic or nonperiodic
Explain the difference between energy
and power signals

Explain how to sketch or graph the
equation of signals

Distinguish the deterministic and random
discrete-time signals and ability to
generate them
Discussion of course
learning
content/topics,
grading system,
required software
tools, assessments,
activities, project
groupings, grading
system, class rules, and
introductions
Discussion of course
learning
content/topics,
grading system,
required software
tools, assessments,
activities, project
groupings, grading
system, class rules,
and introductions via
zoom meeting or MS
Teams
Lecture/Discussion
Lecture/Discussion
Laboratory
Demonstration
Laboratory
Demonstration
Recitation
Recitation
Actual Laboratory
Activity / MATHLAB
Application
MATHLAB/Multisim
Activity
Watch online videos of
lecture/demonstration.
Download simulation
tools and install.
Perform module 1
Activities
Online MP1 activity
Short Quiz
Laboratory
Exercises
Machine
Problem
Laboratory
Activity
✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓
Homework
Lecture/Discussion
Lecture/Discussion
Laboratory
Demonstration
Laboratory
Demonstration
Recitation
Recitation
Actual Laboratory
Activity / MATHLAB
Application
MATHLAB/Multisim
Activity
Watch online videos of
lecture/demonstration.
Perform module 2
Activities
Online MP2 activity
Short Quiz
Laboratory
Exercises
Machine
Problem
Laboratory
Activity
✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓
Homework
6
POLYTECHNIC UNIVERSITY OF THE PHILIPPINES
OFFICE OF THE VICE PRESIDENT FOR ACADEMIC AFFAIRS/OVPBSC
College of Engineering/ Mabini Campus
Computer Engineering

5-6
Even and odd symmetry
signals
CONTINUOUS TIME AND
DISCRETE-TIME SIGNALS
BASIC CONTINUOUS-TIME
SIGNAL




Unit step function



Triangular pulse function





Unit step sequence
Module 3:

Unit impulse function
Unit ramp function
Rectangular pulse
function
Sinusoidal signal

Reproduce discrete-time signal and
continuous-time signal analytically and
visualize them in time domain

Understand basis of description and
analysis of discrete and continuous-time
signal

Describe basic types of signal and their
application
Exponential signal
BASIC DISCRETE-TIME SIGNAL
7-8
Unit impulse sequence




Lecture/Discussion
Laboratory
Demonstration
Laboratory
Demonstration
Recitation
Recitation
Actual Laboratory
Activity / MATHLAB
Application
MATHLAB/Multisim
Activity
Watch online videos of
lecture/demonstration.
Perform module 2
Activities
Online MP3 activity
Short Quiz
Laboratory
Exercises
Machine
Problem
Laboratory
Activity
Homework
✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓
Sinusoidal sequence
Time Reversal
Time Scaling
Time Shifting
Amplitude Transformation
CLASSIFICATION OF SYSTEMS

Lecture/Discussion
Unit ramp sequence
Exponential sequence
BASIC OPERATION ON
SIGNALS




Identify
the
distinctions
between
continuous-time,
discrete-time
and
digital signals to understand their
importance on systems theory and on
digital signal processing
Continuous-time and
discrete-time systems
Causal and Non-causal
systems
Linear and Nonlinear
Systems
Time-varying and timeinvariant systems
Systems with and without
memory
Module 4:
Lecture/Discussion
Lecture/Discussion
Identify the method used in processing a
signal or analyzing the response of a
system to a signal.
Laboratory
Demonstration
Laboratory
Demonstration
Apply the techniques that applies to
specific family of signal.
Recitation
Recitation

Define the important types of signals and
describe the sampling process by which
analog is converted to discrete-time
sinusoidal signal.
Actual Laboratory
Activity / MATHLAB
Application

Describe discrete-time signal systems in
general and the class of linear-variant
system in particular.

Describe the general characteristics of
systems.

Define input-output relationships of
linear-time variant using impulse response
and transfer function representations for
both continuous and discrete time.


MATHLAB/Multisim
Activity
Watch online videos of
lecture/demonstration.
Perform module 2
Activities
Online MP4 activity
Short Quiz
Laboratory
Exercises
Machine
Problem
Laboratory
Activity
Homework
✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓
7
POLYTECHNIC UNIVERSITY OF THE PHILIPPINES
OFFICE OF THE VICE PRESIDENT FOR ACADEMIC AFFAIRS/OVPBSC
College of Engineering/ Mabini Campus
Computer Engineering

9
MID-TERM EXAMINATION
THE Z-TRANSFORM
10



11
Describe and Explain properly interpret
the results of basic operation on signals.
Z and inverse Z- transform
Properties of the ZTransform
Applications of the Ztransform
INTRODUCTION TO DISCRETE
TRANSFORMS




Frequency Domain of
signals Fourier series
Discrete Fourier transform
Fast Fourier Transform
Other discrete transforms
Module 5:

Define the historical profile of Z.- and
inverse z-transform

Explain the fundamentals and properties
of z-transform

Describe the properties and application
of Z-transform



Compare unilateral z-transform and

Define the importance of transform
techniques in analysis of signals
Lecture/Discussion
Laboratory
Demonstration
Laboratory
Demonstration
Recitation
Recitation
Actual Laboratory
Activity / MATHLAB
Application
MATHLAB/Multisim
Activity
Watch online videos of
lecture/demonstration.
Perform module 2
Activities
Online MP5 activity
Demonstrate its importance in the
analysis and characterization of discrete
transform

Analyze and synthesize signals using
Fourier series and transform definition for
both continuous and discrete time

Identify properties Fourier Transform of
continuous time periodic and nonperiodic signals
Short Quiz
Laboratory
Exercises
Machine
Problem
✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓
Laboratory
Activity
inverse system
Explain the analysis of LTI discrete time
system using z-transform
Module 6:

Lecture/Discussion
Homework
Lecture/Discussion
Lecture/Discussion
Laboratory
Demonstration
Laboratory
Demonstration
Recitation
Recitation
Actual Laboratory
Activity / MATHLAB
Application
MATHLAB/Multisim
Activity
Watch online videos of
lecture/demonstration.
Perform module 2
Activities
Online MP6 activity
Short Quiz
Laboratory
Exercises
Machine
Problem
Laboratory
Activity
✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓
Homework

12-13
CONVOLUTION AND
CORRELATION



Fundamental concepts of
convolution of signals
Fundamental concepts
on cross correlation
Fundamental concepts
on autocorrelation.
DIGITAL FILTERS
Identify properties Fourier series of
continuous time periodic, non-periodic
signals and sinusoid signal.
Module 7-8 :



Apply convolution to determine the
output of linear time- variant system for
both continuous and discrete time
Define the concept of cross correlation
function and autocorrelation function of
discrete function
Compare the differences of cross
correlation
and
auto-correlation
function.
Lecture/Discussion
Lecture/Discussion
Laboratory
Demonstration
Laboratory
Demonstration
Recitation
Recitation
Actual Laboratory
Activity / MATHLAB
Application
MATHLAB/Multisim
Activity
Watch online videos of
lecture/demonstration.
Perform module 2
Activities
Online MP7-8 activity
Short Quiz
Laboratory
Exercises
Machine
Problem
✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓
Laboratory
Activity
Homework
8
POLYTECHNIC UNIVERSITY OF THE PHILIPPINES
OFFICE OF THE VICE PRESIDENT FOR ACADEMIC AFFAIRS/OVPBSC
College of Engineering/ Mabini Campus
Computer Engineering

Review on the concept of
filters


Design of FIR filters
Design of IIR filters

Explain and understand properties of
cross correlation.

Identify the several methods for designing
FIR and IIR Filters

Describe frequency transformation in
both analog and digital domains for
transforming a low-pass prototype filter
another low-pass, band-pass, band-stop,
and high pass filter.

Design and realize simple digital filters for
practical application

14-15
MULTIRATE DIGITAL SIGNAL
PROCESSING

Concepts of Multi-Rate
Signal Processing

Software implementation
of
sampling
rate
converters

Application examples
Describe the standard digital signal
processing techniques
Module 9:


16-17
18


Spectral Analysis
Practical Application
Describe and understand the sampling
rate conversion by rational factor and by
arbitrary factor

Understand the used of quadrature mirror
filters in sub-band coding, transmultiplexer and over sampling A/D and
D/A converters.
Module 10:

SPECTRUM ESTIMATION AND
ANALYSIS
Understand sampling rate conversion
and multi-rate signal processing in digital
domain

Define the estimation of the spectral
characteristics of signals characterized
as random processes
Describe and understand the estimation
of
spectra
from-finite
duration
observation of signals, non-parametric
methods of power spectrum estimation,
parametric methods for power spectrum
estimation, minimum variance spectral
estimation, eigen-analysis algorithms for
spectrum estimation.
Lecture/Discussion
Lecture/Discussion
Laboratory
Demonstration
Laboratory
Demonstration
Recitation
Recitation
Watch online videos of
lecture/demonstration.
Perform module 2
Activities
Online MP9 activity
Actual Laboratory
Activity / MATHLAB
Application
MATHLAB/Multisim
Activity
Lecture/Discussion
Lecture/Discussion
Laboratory
Demonstration
Laboratory
Demonstration
Recitation
Recitation
MATHLAB/Multisim
Activity
Laboratory
Exercises
Machine
Problem
✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓
Laboratory
Activity
Watch online videos of
lecture/demonstration.
Perform module 2
Activities
Online MP10 activity
Actual Laboratory
Activity / MATHLAB
Application
Short Quiz
Homework
Short Quiz
Laboratory
Exercises
Machine
Problem
✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓
Laboratory
Activity
Homework
FINAL EXAMINATION
LIST OF REFERENCES
1. Digital Signal Processing with Matlab, Tatsuo Higuchi, Masayuki Kawamata, Morikita, 2015
9
POLYTECHNIC UNIVERSITY OF THE PHILIPPINES
OFFICE OF THE VICE PRESIDENT FOR ACADEMIC AFFAIRS/OVPBSC
College of Engineering/ Mabini Campus
Computer Engineering
2.
3.
4.
5.
Steven W. Smith, “The Scientist and Engineer's Guide to Digital Signal Processing”, California Technical Publishing, 2017
Kermit Sigmon, "Matlab Primer", Third Edition, Department of Mathematics, University of Florida.
V.K. Ingle and J.G. Proakis, "Digital Signal Processing using MATLAB", Bookware Companion Series, 2016
M. Moris Mano and Michael D. Ciletti, Digital Design, 4th edition, Prentice Hall, 2017.
Online References:
http://www.dspguide.com/pdfbook.htm
https://coelms.com
CLASSROOM POLICY (to be filled out by the assigned faculty)
FLEXIBLE TEACHING AND LEARNING ACTIVITIES (FLTAs)
FACE-TO-FACE DELIVERY
1.
2.
3.
4.
5.
6.
7.
8.
9.
The course is expected to have minimum 8 hands-on
activities.
Activities are accomplished individual or in group mode,
depends on the required output.
Evaluation/checking of output will be based on mobile
application rubrics.
Assignments will be given throughout of the semester.
Such requirements shall be due as announced in the class.
Students are required to attend classes regularly, including
possible make-up classes. The student will be held liable
for all topics covered and assignments made during
his/her absence. The university guidelines on attendance
and tardiness will be implemented.
Any evidence of copying or cheating during any
examinations may result in a failing grade from the
examination for all parties involved. Note that other
universities guidelines shall be used in dealing with this
matter.
Students are advised to keep graded work until the
semester has ended.
No foods, drinks, cigarettes nor children are allowed inside
the lecture and laboratory rooms.
Withdrawal and dropping from the subject should be
done in accordance with existing university policies and
guidelines regarding the matter
1.
2.
3.
4.
5.
Attendance and Tardiness
a. Classes start promptly on designated/agreed time
b. Attendance will be checked regularly
Internet Connection
a. Internet connection may be interrupted from time to time. Students are encouraged to immediately return back to the meeting as soon as the
connection has been restored.
All materials including video recording will be uploaded to our LMS
During Lectures
a. Short discussion will follow at end of each lecture to check student understanding of the topic.
b. Students will be asked to read from the presentation from time to time
c. Students are encouraged to take down notes from the presentation
GAD/PWD Considerations
a. All, regardless of gender will be treated equitably, with respect
b. Proper considerations will be accorded to those with physical limitations
(Read also netiquette guidelines for online students)
GRADING SYSTEM
COURSE REQUIREMENT/S
To pass this course, one must accumulate at least 75% through the course requirements. The maximum points that a student
can obtain through each requirement are shown below.
Requirement/Assessment Task
Maximum Percentage
10
POLYTECHNIC UNIVERSITY OF THE PHILIPPINES
OFFICE OF THE VICE PRESIDENT FOR ACADEMIC AFFAIRS/OVPBSC
College of Engineering/ Mabini Campus
Computer Engineering
Quizzes/Assignment/Recitation
Midterm/Final Exam
Laboratory Exercises and Machine Problems/Application Project Presentation
CLASS INFORMATION
20%
40%
40%
100%
FACULTY INFORMATION
Section:
Time:
Name of Faculty: Engr. Jake A. Binuya
Consultation Time:
Room:
Office Tel. No./ Mobile Phone No. 09454297681
Semester:
E-Mail Address: jabinuya@pup.edu.ph
Suggested Rubrics for Assessment (to be filled out by the assigned faculty)
Suggested rubrics for assessment:
A. Essay Rubrics
B. Portfolio Rubrics
C. Students shall be graded or marked in accordance with the
following system based on the Student Handbook:
GRADE/MARK
1.0
1.25
1.50
1.75
2.0
2.25
2.50
2.75
3.0
5.0
Inc.
W
PERCENTAGE/ EQUIVALENCE
97-100
94-96
91-93
88-90
85-87
82-84
79-81
76-78
75
65-74
DESCRIPTION
Excellent
Excellent
Very Good
Very Good
Good
Good
Satisfactory
Satisfactory
Passing
Failure
Incomplete
Withdrawn
11
POLYTECHNIC UNIVERSITY OF THE PHILIPPINES
OFFICE OF THE VICE PRESIDENT FOR ACADEMIC AFFAIRS/OVPBSC
College of Engineering/ Mabini Campus
Computer Engineering
This is for Main Campus use.
Prepared by:
Reviewed and checked by:
Recommending Approval:
Approved by:
Faculty/Committee/Date
Chairperson/Date
Dean/Date
Vice President for Academic
Affairs/Date
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POLYTECHNIC UNIVERSITY OF THE PHILIPPINES
OFFICE OF THE VICE PRESIDENT FOR ACADEMIC AFFAIRS/OVPBSC
College of Engineering/ Mabini Campus
Computer Engineering
Faculty/Committee/Date
Head, Academic Program/Date
Director/Date
Vice President for Branches & Satellite
Campuses/Date
Form No. ______________________
Revision No. ___________________
Date of Approval _______________
Semester ______________________
Academic Year _________________
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