MICROSL-CPE.pdf

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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

    

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,   

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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.   

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COURSE SYLLABUS

Course Title: MICROPROCESSOR SYSTEM LABORATORY Course Code: MICROSL

Course Credit: 1 Unit Year Level: 4^th Year

Pre-requisites:

Co-requisite:

COMSYOAL, COMSYOLL, LOGCAST, LOGCASTL MICROS

Course Calendar:

2^nd Semester Course Description:

1. The course covers concepts involving microprocessor/ microcontroller systems architecture/organization including microprocessor/microcontroller programming, interfacing techniques, memory systems and bus standards.

2. In the laboratory the students will be involved with experiments using microcontrollers and the use of microprocessor/ micro controller development systems and other tools. Experiment topics include: assembly language programming topics, interfacing with input and output devices, data transfer between micro controller-based circuits and the PC via the serial port and parallel port.

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) Design microcomputer systems using a microprocessor or a

microcontroller. D D D

2) Implement microprocessor based system using different levels of

implementation. D D D

3) Develop the control software for the given system implementation

D D D

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COURSE ORGANIZATION Time

Frame Hours Course Outcomes Course Outline Teaching & Learning

Activities Assessment Tools Resources Week

1-2

6 CO1

CO2

LABORATORY ORIENTATION

 Rules and Regulations

 Good Housekeeping EXPERIMENT 1

 Introduction to IDE and Blinking LEDs

Experiment

Actual Programming

Portfolio

Direct Observation Performance Assessment Rubric

A[1], A[2], A[3], A[4], A[5], A[6], A[7], A[8], B[1]

Week 3

3 CO1

CO2

EXPERIMENT 2

 Interfacing LCD

Experiment

Actual Programming and Design

Portfolio Performance Assessment

Direct Observation Rubric

A[1], A[2], A[3], A[4], A[5], A[6], A[7], A[8], B[1]

Week 4

3 CO1

CO2

EXPERIMENT 3

 Transistor & Motor

Experiment

Portfolio

A[1], A[2], A[3], A[4], A[5], A[6], A[7], A[8], B[1]

Week 5-7

9 CO1

CO2

EXPERIMENT 4

 Stepper Motor EXPERIMENT 5

 Servos

Experiment

Portfolio

A[1], A[2], A[3], A[4], A[5], A[6], A[7], A[8], B[1]

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Week 8

3 CO1

CO2

EXPERIMENT 6

 74HC595 Sift Register

Experiment

Portfolio

A[1], A[2], A[3], A[4], A[5], A[6], A[7], A[8], B[1]

Week 9

3 CO1

CO2

EXPERIMENT 7

 LED Matrix

Experiment

Portfolio

A[1], A[2], A[3], A[4], A[5], A[6], A[7], A[8], B[1]

Week 10

3 CO1

CO2

EXPERIMENT 8

 Piezo Elements

Experiment

Portfolio

A[1], A[2], A[3], A[4], A[5], A[6], A[7], A[8], B[1]

Week 11

3 CO1

CO2

EXPERIMENT 9

 Button Pressing

Experiment

Portfolio

A[1], A[2], A[3], A[4], A[5], A[6], A[7], A[8], B[1]

Week 12

3 CO1

CO2

EXPERIMENT 10

 Potentiometers

Experiment

Portfolio

A[1], A[2], A[3], A[4], A[5], A[6], A[7], A[8], B[1]

Week 13

3 CO1

CO2

EXPERIMENT 11

 Photo Resistors

Experiment

Portfolio

Direct Observation Performance

A[1], A[2], A[3], A[4], A[5], A[6], A[7], A[8], B[1]

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Assessment Rubric Week

14

3 CO1

CO2

EXPERIMENT 12

 Communication

Experiment

Portfolio

A[1], A[2], A[3], A[4], A[5], A[6], A[7], A[8], B[1]

Week 15

3 CO1

CO2

EXPERIMENT 13

 Control

Experiment

Portfolio

A[1], A[2], A[3], A[4], A[5], A[6], A[7], A[8], B[1]

Week 16

3 CO1

CO2

EXPERIMENT 14

 TMP36 Precision Temperature Sensor

Experiment

Portfolio

A[1], A[2], A[3], A[4], A[5], A[6], A[7], A[8], B[1]

Week 17

3 CO1

CO2

EXPERIMENT 15

 Relays

Experiment

Portfolio

A[1], A[2], A[3], A[4], A[5], A[6], A[7], A[8], B[1]

Week 18

3 CO1

CO2 CO3

Project Presentation and Submission

 Line Following Robots / Sumo Robots, etc.

Experiment

Project Presentation

Portfolio

A[1], A[2], A[3], A[4], A[5], A[6], A[7], A[8], B[1]

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Course References:

A. Basic Readings

1) Bradbury, A. & Everard, B. (2014). Learning python with raspberry Pi. Wiley.

2) Cortez, G. (2016). MICROSL Laboratory Manual. Holy Angel University

3) El Emary, I.M. & Ramakrishnan, S. (2014). Wireless sensor networks: from theory to applications. Taylor & Francis Group 4) McManus, S. & Cook, M. (2015). Raspberry Pi for dummies 2^nd Edition. John Wiley & Sons, Inc.

5) Monk, S. (2012). Arduino + Android projects for the evil genius: control Arduino with your smartphone or tablet. The McGraw-Hill Companies 6) Rehmani, M.H. & Pathan, A.K. (2016). Emerging Communication Technologies Based on Wireless Sensor Networks: Current Research and

Future Applications. Taylor & Francis Group, LLC.

7) Salemi, B. (2015). Robot building for teens. Cengage Learning

8) Wentk, R. (2015). Raspberry Pi for kids for dummies. John Wiley & Sons, Inc.

B. Online References

1) Arduino Tutorials (2016). Retrieved from https://www.arduino.cc/en/Tutorial/HomePage 2) AV Tutorials (2016). Microprocessors. Youtube.com. Retrieved from

https://www.youtube.com/watch?v=zOHXynHiVUA&list=PLYdakjTf1Km2rd9ETp_2BrqHSRWlXFGUh 3) Booksmart (2014). Microprocessor and Microcontrollers. Retrieved from

https://books.google.com.ph/books?id=Q8rcBAAAQBAJ&printsec=frontcover&dq=microprocessor&hl=en&sa=X&ved=

0ahUKEwjprf6rgqPOAhWGVZQKHYvJBmA4FBDoAQgpMAM#v=onepage&q=microprocessor&f=false

4) Godse, A.P. & Godse, D.A. (2010). Microprocessor and Microcontroller. Technical Publiscations Pune. Retrieved from https://books.google.com.ph/books?id=CltuxJBCVCsC&printsec=frontcover&dq=microprocessor&hl=en&sa=X&ved=

0ahUKEwiPhd73gKPOAhUMlJQKHaJEBkUQ6AEIJzAC#v=onepage&q=microprocessor&f=false 5) Pal, A. (2012). Microprocessors & Microcontrollers. Youtube.com. Retrieved from

https://www.youtube.com/watch?v=liRPtvj7bFU&list=PL0E131A78ABFBFDD0

6) Williams, G.B. (2013). Troubleshooting Microprocessor Based Systems. Pergaman Press Ltd. Retrieved from https://books.google.com.ph/books?id=9k8vBQAAQBAJ&pg=PA1&dq=microprocessor&hl=en&sa=X&ved=

0ahUKEwjW6YmHg6POAhXmC8AKHbqICsU4HhDoAQhPMAk#v=onepage&q=microprocessor&f=false

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Course Requirements 1) 3 Major Exams (Prelims, Midterms, and Finals) 2) Experiments

3) Final Projects

Grading System Class Standing/Experiments/Final Project (60%) 3 Major Exams (40%)

TOTAL (100%)

Passing Grade (60%)

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

Note: For purposes of illustration, the sharing between CSA and MEA is shown below as 60% and 40%, respectively, when computing the Computed Average for each Grading Period. Depending on the grading parameters set for a subject the sharing may be 65%-35%, 60%-40%, or other possible combinations.

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

Course Policies Maximum Allowable Absences: 3 (held once a week)

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

May 30, 2016 June, 2016 Engr. Gerard C. Cortez CpE Faculty

Engr. Gerard C. Cortez Chairperson, CpE Department

Dr. Doris Bacamante Dean, College of Engineering and

Architecture