ACADEMIC CURRICULUM AUTOMATION AND CONTROL

SCHOOL OF ELECTRICAL ENGINEERING

AAACCCAAADDDEEEMMMIIICCC CCCUUURRRRRRIIICCCUUULLLUUUMMM of

AAAUUUTTTOOOMMMAAATTTIIIOOONNN AAANNNDDD CCCOOONNNTTTRRROOOLLL

Version 2019

School of Electrical Engineering

Room O2.206, International University – Viet Nam National University HCMC

Quarter 6, Linh Trung Ward, Thu Duc District, Ho Chi Minh City, Viet Nam.

Phone: (+84)28 37244270. Ext 3231

International University

Vietnam National University-HCMC (VNU-HCMC)

Contents

A. DISTRIBUTION OF AUTOMATION AND CONTROL CURRICULUM_BATCH (2015

and 2016) ....................................................................................................................................3

Academic English.............................................................................................................3 Intensive English 2 ...........................................................................................................5

Intensive English 1 ...........................................................................................................7 B. DISTRIBUTION OF AUTOMATION AND CONTROL CURRICULUM_BATCH 201710

Academic English........................................................................................................... 10 Intensive English 2: ........................................................................................................ 11

Intensive English 1 ......................................................................................................... 12 C. DISTRIBUTION OF AUTOMATION AND CONTROL CURRICULUM_BATCH (2018

onwards) ................................................................................................................................... 14 Academic English: ......................................................................................................... 14

Intensive English 2: ........................................................................................................ 15 Intensive English 1: ........................................................................................................ 16

D. LIST OF PREREQUISITE COURSES .............................................................................. 18 E. COURSE SYLLABI - AUTOMATION AND CONTROL ................................................ 19

A. DISTRIBUTION OF AUTOMATION AND CONTROL

CURRICULUM_BATCH (2015 and 2016)

Academic English

Freshman Year

Semester 1 Semester 2

MA001IU Calculus 1 4 MA003IU Calculus 2 4

PH013IU Physics 1 (Mechanics) 2 PE008IU Critical Thinking 3

EEAC001IU Materials Science & Engineering 3 PH014IU Physics 2 (Thermodynamics) 2

PE011IU Principles of Marxism 5 PE012IU Ho Chi Minh’s Thought 2

EN007IU Writing AE1 2 EN011IU Writing AE 2 2

EN008IU Listening AE1 2 EN012IU Speaking AE2 2

EE049IU Introduction to EE 3 EE050IU Intro to Computer for Engineers 3

PT001IU Physical Training 1 3 PT002IU Physical Training 2 3

Total Credits 21 Total Credits 18

Sophomore Year


EEAC002IU Mathematics for Engineers 3 MA024IU Differential Equations 4

MA026IU Probability, Statistic & Random

Process

3 EE088IU Signals & Systems 3

PH012IU Physics 4 (Optics & Atomics) 2 EE089IU Signals & Systems Lab 1

EE051IU Principles of EE 1 3 EE010IU Electromagnetic Theory 3

EE052IU Principles of EE 1 Lab 1 EE055IU Principles of EE 2 3

EE053IU Digital Logic Design 3 EE056IU Principles of EE 2 Laboratory 1

EE054IU Digital Logic Design Laboratory 1 EE090IU Electronics Devices 3

EE057IU Programming for Engineers (C) 3 EE091IU Electronics Devices Lab 1

EE058IU Programming for Engineers Lab 1 PE013IU Revolutionary Lines of VCP 3


Junior Year


EE092IU Digital Signal Processing 3 EE104IU Embedded Real-time Systems 3

EE093IU Digital Signal Processing Lab 1 EE118IU Embedded Real-time Systems Lab 1

EE083IU Microprocessor Systems 3 EEAC004IU PC Based Control and SCADA System 3

EE084IU Microprocessor Systems Lab 1 EEAC005IU PC Based Control and SCADA System

Lab

1

EE075IU Theory of Automatic Control 3 EEAC006IU Programmable Logic Control (PLC) 3

EE079IU Power Electronics 3 EEAC007IU Programmable Logic Control (PLC) Lab 1

EEAC003IU Power Electronics Lab 1 EEAC008IU Sensors and Instrumentation 3

General Elective 3 EEAC___IU AC Elective Course 3


Summer Semester

EE112IU Summer Internship 3

Senior Year


EE107IU Senior Project 2 EE097IU Thesis 10

EEAC___IU AC Elective Course 3



EE114IU Entrepreneurship 3


Total: 144 credits

Intensive English 2

Freshman Year


EN074IU Reading & Writing IE2 16

MA003IU Calculus 2 4

EN075IU Listening & Speaking IE2 PH013IU Physics 1 (Mechanics) 2

MA001IU Calculus 1 4 PE011IU Principles of Marxism 5

EN007IU Writing AE1 2

EN008IU Listening AE1 2

EE050IU Intro to Comp. for Engineers 3

PE008IU Critical Thinking 3



Summer Semester

PH014IU Physics 2 (Thermodynamics) 2 EN011IU Writing AE 2 2

PE012IU Ho Chi Minh’s Thought 2 EN012IU Speaking AE2 2

Total Credits 8

Sophomore Year


PE013IU Revolutionary Lines of VCP 3 PH012IU Physics 4 (Optics & Atomics) 2


EEAC001IU Materials Science & Engineering 3 MA026IU Probability, Statistic & Random Process 3

EE049IU Introduction to EE 3 EE088IU Signals & Systems 3

EE051IU Principles of EE 1 3 EE089IU Signals & Systems Lab 1

EE052IU Principles of EE 1 Lab 1 EE010IU Electromagnetic Theory 3

EE053IU Digital Logic Design 3 EE055IU Principles of EE 2 3

EE054IU Digital Logic Design Laboratory 1 EE056IU Principles of EE 2 Laboratory 1

EE057IU Programming for Engineers (C) 3 EE090IU Electronics Devices 3

EE058IU Programming for Engineers Lab 1 EE091IU Electronics Devices Lab 1


Junior Year


EE092IU Digital Signal Processing 3 EE104IU Embedded Real-time Systems 3

EE093IU Digital Signal Processing Lab 1 EE118IU Embedded Real-time Systems Lab 1


EE084IU Microprocessor Systems Lab 1 EEAC005IU PC Based Control and SCADA System

Lab

1

EE075IU Theory of Automatic Control 3 EEAC006IU Programmable Logic Control (PLC) 3



General Elective 3 EEAC___IU AC Elective Course 3


Summer Semester


Senior Year








Total: 144 credits

Intensive English 1

Freshman Year




EN073IU Listening & Speaking IE1 EN075IU Listening & Speaking IE2



Total Credits Total Credits 4

Summer Semester

MA003IU Calculus 2 4 EN007IU Writing AE1 2

PH013IU Physics 1 (Mechanics) 2 EN008IU Listening AE1 2

Total Credits 10

Sophomore Year


PE011IU Principles of Marxism 5 PE013IU Revolutionary Lines of VCP 3

EEAC002IU Mathematics for Engineers 3 PH012IU Physics 4 (Optics & Atomics) 2

EEAC001IU Materials Science & Engineering 3 MA024IU Differential Equations 4

PH014IU Physics 2 (Thermodynamics) 2 EE050IU Intro to Computer for Engineers 3

EN011IU Writing AE 2 2 EE088IU Signals & Systems 3

EN012IU Speaking AE2 2 EE089IU Signals & Systems Lab 1

EE049IU Introduction to EE 3 EE010IU Electromagnetic Theory 3

EE051IU Principles of EE 1 3 EE055IU Principles of EE 2 3

EE052IU Principles of EE 1 Lab 1 EE056IU Principles of EE 2 Laboratory 1


Summer Semester

PE012IU Ho Chi Minh’s Thought 2 PE008IU Critical Thinking 3

MA026IU Probability, Statistic & Random

Process

3

Total Credits 8

Junior Year


EE053IU Digital Logic Design 3 EE079IU Power Electronics 3

EE054IU Digital Logic Design Laboratory 1 EEAC003IU Power Electronics Lab 1

EE057IU Programming for Engineers (C) 3 EE104IU Embedded Real-time Systems 3

EE058IU Programming for Engineers Lab 1 EE118IU Embedded Real-time Systems Lab 1

EE090IU Electronics Devices 3 EEAC004IU PC Based Control and SCADA System 3

EE091IU Electronics Devices Lab 1 EEAC005IU PC Based Control and SCADA System Lab

1

EE092IU Digital Signal Processing 3 EEAC006IU Programmable Logic Control (PLC) 3

EE093IU Digital Signal Processing Lab 1 EEAC007IU Programmable Logic Control (PLC) Lab 1

EE075IU Theory of Automatic Control 3 EEAC008IU Sensors and Instrumentation 3

EE083IU Microprocessor Systems 3 EEAC___IU AC Elective Course 3

EE084IU Microprocessor Systems Lab 1


Summer Semester


Senior Year



EE—IU AC Elective Course 3



General Elective 3



Total: 144 credits

List of AC Elective Courses

Students have to take at least 4 courses from following list

EE061IU

EE062IU

Analog Electronics

Analog Electronics Laboratory

3

1

EEAC011IU

EEAC012IU

Automation Manufacturing System and Technique


Lab

3

1

EEAC013IU Power System and Equipment 3

EEAC014IU Neuron Network and Fuzzy Logics 3

EEAC015IU Robotics 3

EEAC016IU Industrial Electronics 3

EEAC017IU Digital Control 3

EEAC009IU Electric Safety 2

EEAC010IU Electric Machine 3

EE104IU Embedded Real-time Systems 3

EE118IU Embedded Real-time Systems Laboratory 1

EE102IU Stochastic Signal Processing 3

EE103IU Image Processing and Computer Vision 3

EE122IU Image Processing and Computer Vision Lab 1

EEAC018IU Advanced Control Engineering 3

EEAC019IU System Diagnostic 3

EE068IU Principles of Communication 3

EE115IU Principles of Communication Laboratory 1

EE—IU Machine Learning and Artificial Intelligence 3

List of General Courses:

Students have to take at least 3 credits from following list

IS026IU Project Management 3

IS033IU Multi-Criteria Decision Making 3

IS061IU Information systems in Supply chain 3

IS045IU Leadership 3

IS019IU Production Management 3

BA003IU Principles Of Marketing 3

BA006IU Business Communication 3

BA020IU Business Ethics 3

BA197IU Introduction to Sociology 3

BA130IU Organizational Behavior 3

BA167IU Introduction to Vietnamese Legal System 3

BA169IU Management Information System 3

EE072IU Computer and Communication Network 3

IT094IU Information System Management 4

IT063IU Theoretical Models in Computing 4

B. DISTRIBUTION OF AUTOMATION AND CONTROL

CURRICULUM_BATCH 2017

Academic English

Freshman Year (1st year)



PH013IU Physics 1 (Mechanics) 2 MA027IU Applied Linear Algebra 2

PE011IU Principles of Marxism 5 PE008IU Critical Thinking 3

EN007IU Writing AE1 2 PH014IU Physics 2 (Thermodynamics) 2

EN008IU Listening AE1 2 PE012IU Ho Chi Minh’s Thought 2

EE049IU Introduction to EE 3 EN011IU Writing AE 2 2

EN012IU Speaking AE2 2

EE050IU Intro to Computer for Engineers 3



Sophomore Year (2nd year)


EEAC001IU Materials Science & Engineering 3 MA026IU Probability& Random Process 3








EE058IU Programming for Engineers Lab 1


Junior Year (3rd year)


EE088IU Signals & Systems 3 EE092IU Digital Signal Processing 3

EE089IU Signals & Systems Lab 1 EE093IU Digital Signal Processing Lab 1


EE084IU Microprocessor Systems Lab 1 EEAC005IU PC Based Control and SCADA System Lab 1

EEAC020IU Theory of Automatic Control 4 EEAC006IU Programmable Logic Control (PLC) 3



General Elective (*) 3 EEAC___IU AC Elective Course (***) 3


Summer Semester


Senior Year (4th year)



EEAC___IU AC Elective Course (***) 3





Total: 144 credits

Intensive English 2:




EN074IU Reading & Writing IE2 16 EN007IU Writing AE1 2

EN075IU Listening & Speaking IE2 EN008IU Listening AE1 2

PE008IU Critical Thinking 3

PE011IU Principles of Marxism 5

PH013IU Physics 1 (Mechanics) 2

EE049IU Introduction to EE 3



Summer Semester



MA027IU Applied Linear Algebra 2

Total 10











EE058IU Programming for Engineers Lab 1 EE050IU Intro to Computer for Engineers 3







EE084IU Microprocessor Systems Lab 1 EEAC005IU PC Based Control and SCADA System Lab 1

EEAC020IU Theory of Automatic Control 4 EEAC006IU Programmable Logic Control (PLC) 3



General Elective (*) 3 EEAC___IU AC Elective Course (***) 3


Summer Semester










Total: 144 credits

Intensive English 1

Freshman Year







Total Credits Total Credits 4

Summer Semester



Total 10


MA027IU Applied Linear Algebra 2 MA026IU Probability& Random Process 3

EEAC021IU Mathematics for Engineers 4 PE013IU Revolutionary Lines of VCP 3

PH014IU Physics 2 (Thermodynamics) 2 EE053IU Digital Logic Design 3

PE011IU Principles of Marxism 5 EE054IU Digital Logic Design Laboratory 1

EN011IU Writing AE 2 2 EE055IU Principles of EE 2 3

EN012IU Speaking AE2 2 EE056IU Principles of EE 2 Laboratory 1

EE049IU Introduction to EE 3 EE057IU Programming for Engineers (C) 3

EE051IU Principles of EE 1 3 EE058IU Programming for Engineers Lab 1




Summer Semester

MA024IU Differential Equations 4 PE008IU Critical Thinking 3

PH012IU Physics 4 (Optics & Atomics) 2 PE012IU Ho Chi Minh’s Thought 2

Total Credits 11



EEAC001IU Materials Science & Engineering 3 EE092IU Digital Signal Processing 3

EE088IU Signals & Systems 3 EE093IU Digital Signal Processing Lab 1

EE089IU Signals & Systems Lab 1 EEAC004IU PC Based Control and SCADA System 3

EE083IU Microprocessor Systems 3 EEAC005IU PC Based Control and SCADA System Lab 1

EE084IU Microprocessor Systems Lab 1 EEAC006IU Programmable Logic Control (PLC) 3

EEAC020IU Theory of Automatic Control 4 EEAC007IU Programmable Logic Control (PLC) Lab 1

EE090IU Electronics Devices 3 EEAC008IU Sensors and Instrumentation 3

EE091IU Electronics Devices Lab 1 EE079IU Power Electronics 3

General Elective (*) 3 EEAC003IU Power Electronics Lab 1




Summer Semester










Total: 144 credits

List of AC Elective Courses

Students have to take at least 4 courses from following list

EE061IU

EE062IU

Analog Electronics


3

1

EEAC011IU

EEAC012IU



Lab

3

1








EE104IU Embedded Real-time Systems 3

EE118IU Embedded Real-time Systems Laboratory 1


EE103IU Image Processing 3

EE122IU Image Processing Laboratory 1



EE068IU Principles of Communication 3

EE115IU Principles of Communication Laboratory 1


List of General Courses:

Students have to take at least 3 credits from following list
















C. DISTRIBUTION OF AUTOMATION AND CONTROL

CURRICULUM_BATCH (2018 onwards)

Academic English:




PH013IU Physics 1 (Mechanics) 2 PE008IU Critical Thinking 3

PE011IU Principles of Marxism 5 PH014IU Physics 2 (Thermodynamics) 2

EN007IU Writing AE1 2 PE012IU Ho Chi Minh’s Thought 2

EN008IU Listening AE1 2 EN011IU Writing AE 2 2

EE049IU Introduction to EE 3 EN012IU Speaking AE2 2

PT001IU Physical Training 1 0 MA027IU Applied Linear Algebra 2


PT002IU Physical Training 2 0









EE053IU Digital Logic Design 3 EE056IU Principles of EE 2 Lab 1

EE054IU Digital Logic Design Lab 1 EE090IU Electronics Devices 3

EE057IU Programming for Engineers 3 EE091IU Electronics Devices Lab 1

EE058IU Programming for Engineers Lab 1






EE083IU Microprocessing Systems 3 EEAC004IU PC Based Control and SCADA System 3

EE084IU Microprocessing Systems Lab 1 EEAC005IU PC Based Control and SCADA System Lab 1

EE020IU Theory of Automatic Control 4 EEAC006IU Programmable Logic Control 3

EE--IU Capstone Design 1 2 EEAC007IU Programmable Logic Control Lab 1

General Elective 3 EEAC008IU Sensors and Instrumentation 3

EE--IU Capstone Design 2 2

EEAC--IU AC Elective Course 3


Summer Semester

Summer Internship 3









Total: 144 credits





EN074IU Reading & Writing IE2 0 EN007IU Writing AE1 2

EN075IU Listening & Speaking IE2 EN008IU Listening AE1 2

PT001IU Physical Training 1 0 PE008IU Critical Thinking 3

PE011IU Principles of Marxism 5

PH013IU Physics 1 (Mechanics) 2

EE049IU Introduction to EE 3



Summer semester



MA027IU Applied Linear Algebra 2

Total Credits 10








EE053IU Digital Logic Design 3 EE056IU Principles of EE 2 Lab 1

EE054IU Digital Logic Design Lab 1 EE090IU Electronics Devices 3

EE057IU Programming for Engineers 3 EE091IU Electronics Devices Lab 1

EE058IU Programming for Engineers Lab 1 EE050IU Intro to Computer for Engineers 3






EE083IU Microprocessing Systems 3 EEAC004IU PC Based Control and SCADA System 3

EE084IU Microprocessing Systems Lab 1 EEAC005IU PC Based Control and SCADA System Lab 1

EE020IU Theory of Automatic Control 4 EEAC006IU Programmable Logic Control 3

EE--IU Capstone Design 1 2 EEAC007IU Programmable Logic Control Lab 1

General Elective 3 EEAC008IU Sensors and Instrumentation 3

EE--IU Capstone Design 2 2



Summer Semester

Summer Internship 3









Total: 144 credits







PT001IU Physical Training 1 0 MA001IU Calculus 1 4



Summer semester



Total Credits 10



MA027IU Applied Linear Algebra 2 MA026IU Probability& Random Process 3

EEAC002IU Mathematics for Engineers 4 PE013IU Revolutionary Lines of VCP 3

PH014IU Physics 2 (Thermodynamics) 2 EE053IU Digital Logic Design 3

PE011IU Principles of Marxism 5 EE054IU Digital Logic Design Lab 1

EN011IU Writing AE 2 2 EE055IU Principles of EE 2 3

EN012IU Speaking AE2 2 EE056IU Principles of EE 2 Lab 1

EE049IU Introduction to EE 3 EE057IU Programming for Engineers 3

EE051IU Principles of EE 1 3 EE058IU Programming for Engineers Lab 1




Summer semester

MA024IU Differential Equations 4 PE008IU Critical Thinking 3

PH012IU Physics 4 (Optics & Atomics) 2 PE012IU Ho Chi Minh’s Thought 2

Total Credits 11



EEAC001IU Materials Science & Engineering 3 EE092IU Digital Signal Processing 3

EE088IU Signals & Systems 3 EE093IU Digital Signal Processing Lab 1

EE089IU Signals & Systems Lab 1 EEAC004IU PC Based Control and SCADA System 3

EE083IU Microprocessing Systems 3 EEAC005IU PC Based Control and SCADA System Lab 1

EE084IU Microprocessing Systems Lab 1 EEAC006IU Programmable Logic Control 3

EE075IU Theory of Automatic Control 4 EEAC007IU Programmable Logic Control Lab 1

EE090IU Electronics Devices 3 EEAC008IU Sensors and Instrumentation 3

EE091IU Electronics Devices Lab 1 EE--IU Capstone Design 2 2

EE--IU Capstone Design 1 2 EEAC--IU AC Elective Course 3

General Elective 3


Summer Semester

Summer Internship 3









Total: 144 credits

List of General Elective Courses

You have to take 01 course from following list

Sub ID Subjects Credit(s)
















(**) List of AC Elective Courses

You have to take at least 4 courses from following list:

EE061IU

EE062IU

Analog Electronics


3

1

EEAC011IU

EEAC012IU


Automation Manufacturing System and Technique Lab

3

1








EE104IU

EE118IU

Embedded Real-time Systems

Embedded Real-time Systems Laboratory

3

1


EE103IU

EE122IU

Image Processing and Computer Vision

Image Processing and Computer Vision Laboratory

3

1



EE068IU

EE115IU

Principles of Communication

Principles of Communication Laboratory

3

1

EE079IU

EEAC001IU

Power Electronics

Power Electronics Laboratory

3

1


D. LIST OF PREREQUISITE COURSES

No. Course Prerequisite course

1 Calculus 2 (MA003IU) Calculus 1 (MA001IU)

2 Mathematics for Engineers (EEAC002IU) Calculus 2 (MA003IU)

3 Differential Equations (MA024IU) Calculus 2 (MA003IU)

4 Academic English 2 (EN011IU & EN012IU) Academic English 1 (EN007IU & EN008IU)

5 Principles of EE1 (EE051IU) Calculus 1 (MA001IU)

6 Principles of EE2 (EE055IU) Principles of EE1 (EE051IU)

Mathematics for Engineers (EEAC002IU)

7 Electromagnetic Theory (EE010IU) Calculus 2 (MA003IU)

8 Electronic Devices (EE090IU) Principles of EE1 (EE051IU)

9 Signals & Systems (EE088IU) Principles of EE2 (EE055IU)

10 Microprocessor Systems (EE083IU) Digital Logic Design (EE053IU)

Programming for Engineers (C) (EE057IU)

11 Theory of Automatic Control (EE075IU or

EEAC020IU)

Differential Equations (MA024IU)

12 Digital Signal Processing (EE092IU) Signals & Systems (EE088IU)

13 Power Electronics (EE079IU) Electronic Devices (EE090IU)

14 PC Based Control and SCADA System

(EEAC004IU)

Microprocessor Systems (EE083IU)

15 Programmable Logic Control (PLC)

(EEAC006IU)

Digital Logic Design (EE053IU)

16 Sensors and Instrumentation (EEAC008IU) Principles of EE2 (EE055IU)

18 Embedded Real-time Systems (EE104IU) Microprocessor Systems (EE083IU

19 Analog Electronics (EE061IU) Electronic Devices (EE090IU)

20 Principles of Communication Systems

(EE068IU)

Signals & Systems (EE088IU)

21 Stochastic Signal Processing (EE102IU) Digital Signal Processing (EE092IU)

22 Image Processing (EE103IU) Signals & Systems (EE088IU)

23 Neural Networks and fuzzy controls

(EEAC014IU)

Theory of Automatic Control (EE075IU or

EEAC020IU)

24 Robotics (EEAC015IU) Theory of Automatic Control (EE075IU or

EEAC020IU)

25 Digital Control (EEAC017IU) Theory of Automatic Control (EE075IU or

EEAC020IU)

26 Electric Machine (EEAC010IU) Principles of EE2 (EE055IU)

27 Advanced Control Engineering (EEAC018IU) Theory of Automatic Control (EE075IU or

EEAC020IU)

E. COURSE SYLLABI - AUTOMATION AND CONTROL

COURSE SYLLABUS 1. General information about the course:

- Course: Materials Science and Engineering

- Course ID: EEAC001IU

- Number of credits: 3

- Class time, Location: Sophomore

- Lecturer: Tran Xuan Phuoc, Ph.D.

Email: [email protected]

2. Admissibility conditions to the course: - Prerequisite: Second- year student, completed all freshman engineering physics, calculus

courses

- Co-requisite: None - Requirements of knowledge, skills, and attitude

o Study a lecture before class time. Raise queries during the class

o Enhance the knowledge by reading more materials instructed by a lecturer

o Willing to answer questions in the class

o Attend all the class lectures and seminars

o Submit all homework solutions on time.

3. Course description:

Structure, properties, and processing of metallic, semiconductor, polymeric, ceramic, and composite materials. Perfect and imperfect solids; phase equilibria; transformation kinetics;

mechanical behavior; material degradation. Approach involves both materials science and

materials engineering components

4. Documents:

- Textbook:

Materials Science and Engineering, An Introduction, 8th Ed. by W. D. Callister & D. G. Rethwisch. Wiley 2010.

- Reference:

Class notes

5. Learning outcomes

A student who successfully fulfills the course requirements will have demonstrated:

1. An understanding of material structure from atoms, molecules, covalent, metallic and

ionic bonding; unit cells, molecular bonding, planes and directions by their indices,

single crystal and polycrystalline materials, isotropy and anisotropy, imperfect

crystals, non-crystalline structures

2. An understanding of mechanical properties of materials: stress, strain, tensile,

Young’s modulus, shear modulus, Poisson’s ratio, differences between compression

and tensile test. An ability to calculate yield points from tensile test and how to relate

hardness values to yield stress.

3. An understanding of dislocations and slip systems in the plastic deformation of

crystalline material systems, four basic methods of strengthening: formation of solid

solutions, one-dimensional steady state and non-steady state diffusion problems;

4. An understanding of phase diagrams, binary equilibrium phase diagrams, and phase

amounts. Be able to identify the eutectic, Gibb’s phase rule, equilibrium

microstructures in alloys, influence of other alloying elements on the binary phase

diagram;

5. An ability to describe and interpret the mechanical behavior and properties of metal

alloys, ceramics and polymers, the role of temperature and composition on

mechanical behavior, processing approaches for basic metal alloys, ceramics and

polymer systems, corrosion, degradation, coatings, finishes.

6. Course outline:

Lecture Content

Week

Credit Hours Note

Theory Practice

1 Introduction: atomic structure and interatomic

bonding.

1 3

2 The structure of crystalline solids, imperfections

in solids, diffusion.

2 3 1

3 Mechanical properties of metals, dislocations and

strengthening mechanism

3 3 1

4 Failure, phase diagrams, phase transformations,

formation of microstructures,

4 3 1

5 Processing of metal alloys. Annealing, recovery,

recrystallization and grain growth

5 3 1

6 Structure and properties of ceramics, applications

and properties of ceramics.

6 & 7 3 1

Mid-term Examination

7 Polymer Structures. Characteristics, applications,

and processing of polymers.

8 3

8 Composites

Corrosion and degradation of materials

9 3 1

9 Electrical properties. 10 3 1

10 Thermal properties 11

&12

3 1

11 Magnetic properties. 13

&14

3 1

12 Optical properties 15 3

Final Examination

7. Assessment policy and grading: the grading of this course is based on several elements as

described in the following

Exams: There will be one midterm and a comprehensive final exam. All exams will be closed-

book. Exams will cover the assigned reading material, lectures, and assignments. There are no

make-up exams (except for special circumstances where written excuses and official proof are

considered on a case-by-case basis).

Homework Policy: Homework is to be handed in before the beginning of class on the

session/day it is due. No late homework will be accepted. There will be on average one

homework set every two weeks. Since assigned homework is an integral part of transferring

course content to students, they are to be an individual effort but group discussions are

encouraged for a better understanding of course material and solving homework. The student

must receive a passing homework grade to pass the course.

Grading Policy: The overall course grades (letter grades from A to F) will be determined based on required standards and overall class distribution. The weights of the assignments and the

examinations are:

- Class Participation and Homework Assignments (30%)

- Midterm exam or Course Project (30%)

- Final exam (40%)

Grading scale

Classification Scale of 100 Scale 4 Letter grade

PASS

Excellent 90 - 100 4,0 A+

Very good 80 - 89 3,5 A

Good 70 - 79 3,0 B+

Over average 60 - 69 2,5 B

Average 50 - 59 2,0 C

FAIL

Weak 40 - 49 1,5 D+

Weak 30 - 39 1,0 D

Very weak 0 - 29 0 F

8. General rules:

Class Participation: A minimum attendance of 80 percent is compulsory for the class sessions.

Students will be assessed on the basis of their class participation. Questions and comments are

strongly encouraged.

Academic Honesty and Plagiarism: Instances of academic dishonesty will not be tolerated.

Cheating on exams or plagiarism (presenting the work of another as your own, or the use of

another person’s ideas without giving proper credit) will result in a failing grade. For this class,

all assignments are to be completed by the individual student unless otherwise specified. Students

are also reminded that careful time management is an important part of study and one of the

identified causes of plagiarism is poor time management. Students should allow sufficient time

for preparation, research, drafting, and the proper referencing of sources in preparing all

assessment items.

Hochiminh City, 20th December 2013

THE INTERNATIONAL UNIVERSITY (IU) – VIETNAM NATIONAL UNIVERSITY - HCMC


Mathematics for Engineers

1. General information about the course:

- Course: Mathematics for Engineers

- Course ID: EEAC002IU - Number of credits: 4

- Class time, location: Sophomore

- Lecturer: Mai Linh, Ph.D.

o Email: [email protected]

2. Admissibility conditions to the course:

- Prerequisite: Calculus 2.

- Required skills: Derivation, integration, linear differential equations, complex numbers

3. Course description: This course develops a synthetic view of mathematic knowledge and skills

in analyzing and modeling Signals and Systems. Covers review of fundamental harmonic

analysis, with applications in Electronics, Control, Communications and Signal processing.

4. Textbooks and Other Required Materials: a. Lecture notes

b. G. James, Advanced Modern Engineering Mathematics, 4th Ed., Pearson, 2011

c. K.T. Tang, Mathematical Methods for Engineers and Scientists 1”, Springer Verlag, 2007

Reference: 1. K.F. RILEY, M.P. HOBSON and S. J. BENCE, Mathematical Methods for Physics and

Engineering, 3rd Ed., Cambridge University Press, 2006. 2. George B. Arfken, Hans J. Weber, Frank E. Harris, Mathematical methods for Physicists,

7th Ed., Elsevier Inc., 2013.

3. TAI L. CHOW, Mathematical Methods for Physicists, Cambridge University Press, 2000.


On successful completion of the course the students will be able to

- Master the mathematical tools of complex analysis, Laplace transform, z-transform, etc…

- Ability to identify, formulate and solve electrical engineering problems.

- Know how to use the techniques, skills, and modern engineering tools necessary for

engineering practice.

6. Course outline:

Lecture Content

Week

Hours Remark

Theory Exercise

Part I Complex analysis

Complex number; Functions of a complex variable: limits and continuity; Derivatives, Analyticity;

Cauchy-Riemann condition.

Singular points. Poles. Power series, Taylor series,

Laurent series. Line integrals. Cauchy’s integral

theorem.

Residues. Residue theorem. Evaluation of definite integrals

Application of the residue theorem to compute the Fourier

Part II Laplace Transforms and Applications for solving electrical engineering problems

Definition and examples; existence and properties of the Laplace transform; inverse transform and evaluation inverse transform;

Solution of differential equations: Transforms of derivatives and integrals; Inversion using the first

shift theorem

Ordinary differential equations; Simultaneous

differential equations; Engineering applications: electrical circuits;

Step and impulse functions: The Heaviside step function; Step function and Laplace transforms; The second shift theorem; Inversion using the

second shift theorem; Differential equations;

Periodic functions; impulse functions and Laplace

transforms; Relationship between Heaviside step and impulse functions;

Transfer functions; Stability; Impulse response; Initial- and final-value theorems; Convolution; System response to an arbitrary input;

Engineering application: frequency response & pole placement

Midterm exam

Part III

Introduction the z transform; Properties of the z

transform;

The inverse z transform;

Discrete-time systems and difference equations;

Discrete linear systems: characterization;

The relationship between Laplace and z transforms;

Engineering application for electrical engineering

Part IV Fourier Series

Introduction; Fourier series expansion

Functions defined over a finite interval; Differentiation and integration of Fourier series;

Engineering application: frequency response and oscillating systems

Complex form of Fourier series

Engineering application: describing functions

Part V The Fourier Transform

Introduction; The Fourier transform;

The frequency response; Transforms of the step

and impulse functions

The Fourier transform in discrete time;

Engineering application for electrical engineering

Review and Final exam

Total 60













Grading Policy: The overall course grades (letter grades from A to F) will be determined

based on required standards and overall class distribution. The weights of the

assignments and the examinations are:

- Attendance + Class conduct + Homework Problem + Quizzes (30%)


- Final exam (40%)

Grading scale


PASS


Very good 80 - 89 3,5 A

Good 70 - 79 3,0 B+


Average 50 - 59 2,0 C

FAIL

Weak 40 - 49 1,5 D+

Weak 30 - 39 1,0 D


8. General rules:











assessment items.

Class hours: upon the IU’s schedule

Office hours @ room O2.206: at least two days per week or by appointment.

Contact information: [email protected] or [email protected]

Link to download materials: http://blackboard.hcmiu.edu.vn/

Prepared by Prof. Huynh Huu Tue

Modified by Mai Linh

Date: July, 2017

mailto:[email protected]

mailto:[email protected]

http://blackboard.hcmiu.edu.vn/


- Course: Introduction to Electrical Engineering

- ID course: EE049


- Class time, location: Semester 1, Freshman

- Lecturer: Tran Van Su



- Prerequisite: None

- Required skills: None

- Knowledge, skills and attitudes required for taking the course:

o Preparing the course materials, questions and suggestions beforehand.

o Studying the related documents to the content of each section or chapter, or thematic

under instructor’s guidance.

o Participating in lectures and seminar organized under instructor’s guidance and

supervision follow the regulation.

3. Course description: This course is an introduction to engineering processes for future electrical engineering. This course provides the students with the fundamental concepts of the electrical

engineering profession. In addition, the students will learn the proper usage of engineering tools,

including computers and measurement equipment. Students will also perform statistical analysis of experimental data, define engineering requirements, and implement simulation.

4. Documents:

- Textbooks

Handouts including research papers given by instructor for in-depth references of the

topics. 5. Learning outcomes

- To acquire the basic understanding of electrical engineering profession including an

introduction to the concepts and applications of electrical engineering, entrepreneurship, ethics, and professionalism

- Have an understanding of electrical engineering profession and disciplines

- Have a basic understanding of engineering methods, including experimentation, data analysis, and computer skills

- Have an introduction to engineering process, defining requirements, and implementing

projects. - Have an opportunity to practice communication skill and collaboration skill with teammates

6. Course outline

Lecture Content Week Credit Hours

Note Theory Practice

1 Electrical Engineering Overview 1 3

2 Engineering Design Process 2 3

3 Presentation and communication for

engineering 3 3

4 Data Analysis techniques 4 – 5 6

5 Basic circuit design and analysis 6 - 7 3 3

Midterm exam

6 Basic logic design and analysis 8 – 9 3 3

7 Basic computer architecture 10 3

8 Information & Communication theory

11 – 12 6

9 Engineering applications 13 – 14 6

10 Review 15 3

Final exam

Total 15 45



Grading Policy: The overall course grades (letter-grades from A+ to F) will be assigned

based on required standard or overall class distribution. The weights of the assignments

and the examinations are:

- In-class quizzes, assignments: 10%

- Group presentation: 20%

- Midterm examination: 30%

- Final examination: 40%

Grading scale


PASS


Very good 80 - 89 3,5 A

Good 70 - 79 3,0 B+


Average 50 - 59 2,0 C

FAIL

Weak 40 - 49 1,5 D+

Weak 30 - 39 1,0 D


8. General rules:











assessment items.


- Course: Introduction to Computer for Engineers

- ID course: EE050


- Class time, location: Semester 2, Freshman

- Lecturer: Nguyen Dinh Uyen, Ph.D.




- Required skills: None





o Participating lectures and seminar organized under instructor’s guidance and supervision

follow the regulation.

3. Course description: This course is an introduction to solving engineering problems through the use of the computer. It introduces general problem-solving techniques including the concepts of

step-wise refinement applied to the development of algorithms. This course will cover elementary

programming concepts using the MATLAB programming language and apply those concepts towards the solution of engineering problems.

4. Documents:

- Textbooks

MATLAB Programming for Engineers, Stephen J. Chapman, Thompson Books

Lecture Notes. 5. Learning outcomes

- Understand the basic programming using MATLAB.

- Understand the fundamental of data types and storage classes in MATLAB.

- Understand the conditional program execution, program loops, and iteration.

- Design, implement & debug a program that uses MATLAB programming constructs.

- Apply numerical approximations to calculating integrals and curve fitting.

6. Course outline

Lecture Content Week Credit Hours

Note Theory Practice

1 Introduction 1 3

2 Basic functions of Matlab 2 3

3 Matrices and Vectors 3 2 1

4 Mathematical operations with arrays 4 2 1

5 Plots and graphs 5 2 1

6 Script and function files 6 2 1

7 Logical Operators and Conditional Statements 7 2 1

Midterm exam

8 Loops 8 2 1

9 Strings 9 2 1

10 Files and Cell arrays 10 – 11 4 2

11 Curve fitting and interpolation 12 2 1

12 Numerical Integration 13 2 1

13 Graphical User Interface (GUI) 14 2 1

14 Review 15 3

Final exam

Total 15 45









homework set every two weeks. Since assigned homework is an integral part of

transferring course content to students, they are to be an individual effort but group

discussions are encouraged for a better understanding of course material and solving

homework. The student must receive a passing homework grade to pass the course.

Grading Policy: The overall course grades (letter-grades from A+ to F) will be assigned

based on required standard or overall class distribution. The weights of the assignments

and the examinations are:

Homework : 10%

Project : 20%

Mid-term exam : 30%

Final Exam : 40%

Grading scale


PASS


Very good 80 - 89 3,5 A

Good 70 - 79 3,0 B+


Average 50 - 59 2,0 C

FAIL

Weak 40 - 49 1,5 D+

Weak 30 - 39 1,0 D


8. General rules:











assessment items.

Computer Usage: Students are expected to use MATLAB® for some of the homework

assignments and the course project.


- Course: Principles of Electrical Engineering I

- Course ID: EE051

- Number of credit: 3

- Class time: Semester 1, Sophomore

- Lecturer: Bui Pham Lan Phuong



- Prerequisite: none

- Co-requisite: Principle of Electrical Engineering I Laboratory (EE052)

- Requirements of knowledge, skills, and attitude

Study a lecture before class time. Raise queries during the class

Enhance the knowledge by reading more materials instructed by a lecturer

Willing to answer questions in the class

Attend almost the class lectures and seminars

Submit all homework in time.

3. Course description: This course exposes the student to the fundamental issues related to

Circuit elements; Independent sources; Dependent sources; Circuit analysis in DC and

AC steady state; Network theorems; Operational amplifiers; Power Computations.

4. Documents:

- Lecture notes

- References

J. W. Nilsson and S. A. Riedel, Electric Circuits, 7th Ed, Prentice Hall, 2005.

R. C. Dorf and J. A. Svoboda, Introduction to Electric Circuits, 5th Ed, John

Wiley & Sons, 2001



- An ability to define and explain the meaning/function of charge, current, voltage,

power, energy, R, L, C, the op amp, and the fundamental principles of Ohm's law,

KVL and KCL including an understanding of electrical safety and the effect of

current on humans.

- An ability to write the equilibrium equations for a given network and solve them

analytically, and also using appropriate software as needed for the steady state (DC

and AC/phasor) solution.

- An ability to state and apply the principles of superposition, linearity, source

transformations, and Thevenin/Norton equivalent circuits to simplify the analysis of

circuits and/or the computation of responses.

- An ability to analyze resistive op amp circuits and design inverting, non-inverting,

summing, and differential amplifier circuits using op amps.

- An in depth understanding of the behavior of inductances and capacitances, and

differentiating and integrating op amp circuits.

- An ability to qualitatively and quantitatively predict and compute the steady state AC

responses of basic circuits using the phasor method.

- An ability to compute effective and average values of periodic signals and compute

the instantaneous and average powers delivered to a circuit element.

- An ability to compute the complex power associated with a circuit element and

design a circuit to improve the power factor in an AC circuit.

- An ability to determine the conditions for maximum power transfer to any circuit

element. 6. Course outline:

Lecture Content Week Hours Remark

Theory Exercise

1 Circuit variables: voltage, current,

power and energy, Voltage and

current sources, Dependent and independent sources, Circuit elements

- resistance, inductance and

capacitance

1 3

2 Modeling of practical circuits, Ohm’s law and Kirchhoff’s laws, Solution of

simple circuits with both dependent

and independent sources, Electrical safety

2 2 1

3 Series-parallel resistance circuits and

their equivalents, Voltage and current

divider circuits, Delta-Wye equivalent circuits, D’Arsonval meter movement

- ammeter, voltmeter and ohmmeter

circuits, Wheatstone bridge

3 2 1

4 Techniques of general DC circuit

analysis. Introduction to topological

concepts

4 2 1

5 Node-voltage method, Mesh-current method, Source transformations

5 2 1

6 Thevenin and Norton equivalents,

Maximum power transfer

6 2 1

7 Operational amplifiers; inverting, non-inverting, summing and

difference amplifier circuits

7 2 1

Mid-term Exam

8 Equivalent circuits of Op-Amp circuits, Common-mode rejection

ratio

8 2 1

9 Properties of inductances ad

capacitances

9 3

10 Series-parallel combinations of

inductances and capacitances;

Integrating and differentiating circuits (both passive and active)

10 2 1

11 Concepts of transient and steady state 11 3

response

12 Review of Complex variables,

Introduction to sinusoidal steady state analysis, Sinusoidal sources, Phasors

12 3

13 Impedance, Admittance, Reactance,

Susceptance, Series - parallel and Delta-Wye simplifications

13 2 1

14 Node-voltage method, Mesh-current

method, Source transformations,

Thevenin and Norton Equivalents, Phasor diagrams.

Sinusoidal steady state power

calculations, RMS values, Real and reactive power, Maximum power

transfer, Frequency selective circuits

14 2 1

15 Review 15 1 2

Final Exam

Total 15 weeks 45 hours













Grading Policy: The overall course grades (letter grades from A to F) will be determined based

on required standards and overall class distribution. The weights of the assignments and the examinations are:

- Homework Problem (10%)

- Quizzes (10%)

- Mid-term exam (30%)

- Final Exam (50%)

Grading scale


PASS


Very good 80 - 89 3,5 A

Good 70 - 79 3,0 B+


Average 50 - 59 2,0 C

FAIL

Weak 40 - 49 1,5 D+

Weak 30 - 39 1,0 D


8. General rules:











assessment items.

Computer Usage: Students are expected to use Electronic Workbench and Matlab for some of

the homework assignments.

COURSE SYLLABUS


- Course: Principles of Electrical Engineering I Lab

- Course ID: EE052



- Lecturer: Bui Pham Lan Phuong



- Prerequisite: none

- Co-requisite: Principle of Electrical Engineering I (EE051)

- Requirements of knowledge, skills, and attitude:

o Prepare a pre-lab. Understand the theory

o Get familiar with devices and measurement instruments

o Ask lab supervisor if have any query

o Follow the lab regulation

o Attend all the lab classes

o Submit the report in time.


Voltage, current, impedance, frequency, and waveform measurements, rudiments of

circuit modeling and design.

4. Documents:

- Laboratory Manual

References

- J. W. Nilsson and S. A. Riedel, Electric Circuits, 7th Ed, Prentice Hall, 2005.

- R. C. Dorf and J. A. Svoboda, Introduction to Electric Circuits, 5th Ed, John Wiley &

Sons, 2001

5. Learning outcomes:


- An ability to operate basic laboratory equipment.

- An ability to make voltage, current, impedance, transient, and frequency response

measurements.

- An ability to layout, wire, and troubleshoot electrical circuits.

- An ability to design operational amplifier circuits from a set of specifications.

- An ability to keep a laboratory notebook and prepare a formal laboratory report.

6. Course outline:

Lab

session

Content Week Practice

(hour)

Remarks

1 Introduction to electric circuit

laboratory

1 4

2 Introduction to MultiSim Electronic

Workbench

2 4

3 Kirchoff’s current and voltage laws 3 4

4 Frequency and phase shift

measurement

4 4

5 Sinusoidal steady state analysis

(Thevenin’s theorem for AC circuits)

5 4

6 Sinusoidal steady state analysis

(Mesh and nodal analysis of AC circuits)

6 4

7 Operational amplifier circuits 7 4

8 Review and Exam 8 4




Exams: There will be an opened-book final exam. There are no make-up exams (except for

special circumstances where written excuses and official proof are considered on a case-by-case

basis).


examinations are:

- Presence in laboratory (10%)

- Laboratory experimental sessions (60%): including pre-lab report and laboratory

experimental report.

- Final Exam (30%).

Grading scale


PASS


Very good 80 - 89 3,5 A

Good 70 - 79 3,0 B+


Average 50 - 59 2,0 C

FAIL

Weak 40 - 49 1,5 D+

Weak 30 - 39 1,0 D


8. General rules:

Class Participation: An attendance of 100 percent is compulsory for the class sessions. Students

will be assessed on the basis of their class participation. Questions and comments are strongly

encouraged.




all laboratory reports are to be completed by the individual student unless otherwise specified.

Students are also reminded that careful time management is an important part of study and one of

the identified causes of plagiarism is poor time management.


the laboratory preparation and reports.

COURSE SYLLABUS


- Course: Principles of Electrical Engineering II

- Course ID: EE055



- Lecturer: Mai Linh



- Prerequisite: Principles of Electrical Engineering I (EE051), Principles of Electrical

Engineering Lab (EE052)

- Co-requisite: Principle of Electrical Engineering II Laboratory (EE056)





o Attend almost the class lectures and seminars

o Submit all homework in time.


Transient analysis by classical methods and by Laplace transform analysis, step and

impulse response, three-phase circuit and two-port networks. Passive and active filter

circuit design. Introduction to Fourier series.

4. Documents:

- Lecture notes

References



Sons, 2001.



- An ability to calculate system responses by solving differential equations by classical

methods

- An ability to calculate system responses through the application of Laplace

transforms

- An ability to determine the mathematical model of linear time-invariant systems in s-

domain

- An ability to sketch the Bode diagrams for various transfer functions

- An ability to design LPF, BPF, and HPF circuits (both passive and active) to meet the

design specifications.

- An ability to understand and analyze balanced three-phase circuits

- An ability to understand and analyze different sets of two-port parameters

- An ability to describe Fourier series analysis and its uses.

6. Course outline:


Theory Exercise

1 Response of first-order RL and RC circuit: natural and step responses, sequential switching and unbounded

response

1 3

2 Response of second-order RLC

circuits

2-3 5 1

3 Introduction to Laplace transform: definition, step and impulse functions,

functional and operational transform,

inverse transform, poles and zeros, initial and final value theorems

4-5 5 1

4 The application of the Laplace

transform in circuit analysis

6-7 5 1

Midterm Exam

5 Frequency selective circuits, passive filter design

8-9 5 1

6 Active filter circuits 10-11 5 1

7 Two-port circuits 12 2 1

8 Balanced three-phase circuits: three-phase voltage sources, analysis of the

wye-wye and wye-delta circuit, power calculation and measurements

13-14 5 1

9 Review 15 1 2

Final Exam
















- Homework Problem and Quizzes (30%)


- Final Exam (40%)

Grading scale


PASS


Very good 80 - 89 3,5 A

Good 70 - 79 3,0 B+


Average 50 - 59 2,0 C

FAIL

Weak 40 - 49 1,5 D+

Weak 30 - 39 1,0 D


8. General rules:











assessment items.

COURSE SYLLABUS


- Course: Principles of Electrical Engineering II Lab

- Course ID: EE056



- Lecturer: Mai Linh



- Prerequisite: Principle of Electrical Engineering I (EE051), Principle of Electrical

Engineering I Lab (EE052)

- Co-requisite: Principle of Electrical Engineering II (EE055)









experimental exercises in use of laboratory instruments; Filter design, construction, and

simulation; measuring Fourier components of a periodic signal.

4. Documents:

- Laboratory Manual

References



Sons, 2001



- A proficiency in the use of basic electronic test and measurement instrumentation

- A proficiency in experimental techniques for analysis of passive and active electrical

circuits

- An understanding of transient and steady state behavior of first and second order

circuits

- An ability to simulate a passive or active filter circuit using P-Spice and analyze it

using Matlab

- An ability to understand Fourier components of a periodic wave

- A proficiency to keep a laboratory notebook and prepare a formal laboratory report.

6. Course outline:

Lab session Content Week Practice

(hours)

Remarks

1 Series and parallel resonance 1 4

2 Passive Filter 2 4

3 Frequency response of different active filters

3 4

4 The R - C series circuit 4 4

5 Step response of R-L-C series branch

5 4

6 Fourier series analysis 6 4

7 Two-port networks 7 4

8 Final exams 8 4






basis).


examinations are:

- Presence in laboratory (10%) - Laboratory experimental sessions (60%): including pre-lab report and laboratory


- Final Exam (30%).

Grading scale


PASS


Very good 80 - 89 3,5 A

Good 70 - 79 3,0 B+


Average 50 - 59 2,0 C

FAIL

Weak 40 - 49 1,5 D+

Weak 30 - 39 1,0 D


8. General rules:



encouraged.






identified causes of plagiarism is poor time management.


the laboratory preparation and reports.

COURSE SYLLABUS


- Course: Digital Logic Design

- Course ID: EE053IU



- Lecturer: Dao Thi Phuong




- Co-requisite: Digital Logic Design Laboratory (EE054IU).





o Attend almost the class lecture and seminars

o Submit all homework on time.

3. Course description: Introduce the basic tools for design with combinational and sequential

digital logic and state machines. To learn simple digital circuits in preparation for computer

engineering. Main content: Binary arithmetic, Boolean algebra, K-maps, Combinational circuit

synthesis, Combinational MSI circuits, Sequential logic, Synchronous state machine design,

Sequential MSI circuits.

4. Documents:

- Lecture notes

- R.J Tocci and N.S. Widner, Digital Systems – Principles and Applications, 8th Ed, Prentice Hall

2001

References - M.M. Mano and M.D. Ciletti, Digital Design, 4th Ed, Prentice Hall 2007

- J.F. Wakerly, Digital Design Principles & Practices, 4th Ed., Prentice Hall, 2004



- An ability to define different number systems, binary addition and subtraction, 2’s

complement representation and operations with this representation.

- An ability to understand the different switching algebra theorems and apply them for logic

functions.

- An ability to define the Karnaugh map for a few variables and perform an algorithmic

reduction of logic functions.

- An ability to define the following combinational circuits: buses, encoders/decoders,

(de)multiplexers, exclusive-ORs, comparators, arithmetic-logic units; and to be able to build

simple applications.

- An ability to derive the state-machine analysis or synthesis and to perform simple projects

with a few flip- flops.

- An ability to understand sequential circuits, such as counters and shift registers, and to

perform simple projects using standard logic and integrated chips.

6. Course outline:

Lecture Content Week Hours

Remarks Theory Exercise

1 Organizational issues, information revolution,

basic hardware concepts.

Number systems, Binary and Hexadecimal

1 2 1

2 Boolean algebra. Minimization techniques

2 2 1

3 Combinational logic circuits 3 - 5 5 4

4 Synchronous Sequential Logic

Asynchronous Sequential Logic

6 - 7 4 2

Midterm Exam

5 Synchronous Sequential Logic

Asynchronous Sequential Logic

(cont.)

8 2 1

6 Counters: serial and parallel 9 - 10 4 2

7 Shift registers 11 2 1

8 Multiplexers 12 2 1

9 Design examples 13-14 5 1

10 Review 15 1 2

Final Exam




Exams: There will be one midterm and a comprehensive final exam. All exams will be opened-











on required standards and overall class distribution. The weights of the assignments and the

examinations are:

- Homework Problem and Quizzes (30%)


- Final Exam (40%)

Grading scale


PASS


Very good 80 - 89 3,5 A

Good 70 - 79 3,0 B+


Average 50 - 59 2,0 C

FAIL

Weak 40 - 49 1,5 D+

Weak 30 - 39 1,0 D


8. General rules:











assessment items.

Computer Usage: Students are expected to use Electronic Workbench for some of the homework

assignments.

COURSE SYLLABUS


- Course: Digital Logic Design Lab

- Course ID: EE054IU



- Lecturer: Dao Thi Phuong




- Co-requisite: Digital Logic Design (EE053IU)







o Submit the report on time.

3. Course description: Introduction to Multisim (Electronic Workbench), Logic gates and

combinational logic, MSI combinational logic, Flip Flops and Counters, Counter ICs, Shift

register.

4. Documents:

- Laboratory Manual

References

- J.F. Wakerly: Digital Design Principles & Practices, 4th Ed., Prentice Hall, 2004.



- An ability to operate laboratory equipment.

- An ability to construct, analyzes, and troubleshoots simple combinational and sequential circuits.

- An ability to design and troubleshoot a simple state machine.

- An ability to measure and record the experimental data, analyze the results, and prepare a formal

laboratory report.

6. Course outline:

Lab session Content Week Practice (hour) Remarks

1 Introduction to Multisim (Electronic Workbench) 1 4

2 Logic gates and combinational logic 2 4

3 MSI combinational logic 3 4

4 Flip Flops and Counters 4 4

5 Counter ICs (part 1) 5 4

6 Counter ICs (part 2) 6 4

7 Shift register 7 4

8 Lab test 8 4






basis).

8. Grading Policy: The overall course grades (letter grades from A to F) will be determined based


examinations are:


- Pre-lab reports (10%)

- Laboratory experimental reports (40%)

- Final Exam (30%)

Grading scale


PASS


Very good 80 - 89 3,5 A

Good 70 - 79 3,0 B+


Average 50 - 59 2,0 C

FAIL

Weak 40 - 49 1,5 D+

Weak 30 - 39 1,0 D


9. General rules:



encouraged.






identified causes of plagiarism is poor time management.

Computer Usage: No.

COURSE SYLLABUS


- Course: Electromagnetic Theory (3 credits)

- Course ID: EE010



- Lecturer: MEE. Tran Van Su



- Prerequisite: MA023 – Calculus 3

- Prerequisite by topics:

o Derivative, integral

o Differential equation

o Vector calculus

o Complex number





o Participating lectures and seminar organized under instructor’s guidance and supervision

follow the regulation.


This course is designed to serve as the first course in ElectroMagnetic (EM) to fulfill the

requirements of the Electrical Engineering and Computer Engineering core curricula. The content

consists of vector calculus and field concepts such as EM fields and materials, Maxwell's

equations, potential functions, energy storage, static and quasi-static fields, and time-domain

analysis of waves. Transmission line theory is also introduced in this course.

4. Documents:

- Class/Lecture notes

- References

o “Elements of Engineering Electromagnetic”, 6th edition, by N. N. Rao, Prentice-Hall,

2004


A student who successfully fulfills the course requirements will have demonstrated: - An ability to define and analyze the electric and magnetic fields from physical sources

(charges, currents)

- An ability to understand in depth Maxwell’s equations and skills of computations

- An ability to understand the essence of the plane wave in free space and medium and its

applications

- An ability to analyze the fields in integral or differential forms

- An ability to analyze and design topics for circuits and systems

- An ability to analyze and compute the transient of the transmission line

6. Course outline:


Theory Exercise

1 Vector algebra and coordinate systems 1 2 1

2 Electric and magnetic fields 2 2 1

3 Faraday and Ampere’s laws 3 2 1

4 Gauss’ laws and law of conservation of

charge

4 2 1

5 Maxwell’s equations in differential form

5 2 1

6 Uniform plane waves in free space and

polarization of sinusoidal time-varying

fields

6 - 7 4 2

Mid-term Exam

7 Materials such as conductors, dielectric

and magnetic materials. Wave equation

and solution for material medium

8 - 9 4 2

8 Uniform plane waves in dielectrics and

conductors. Boundary conditions

10 2 1

9 Gradient, Laplacian, and Potential functions

11 2 1

10 Potential functions for static fields.

Poisson’s and Laplace’s equations

12 2 1

11 Transmission line terminated by resistive load. Transmission line

discontinuity. Line with reactive

13 - 14 4 2

12 Review 15 2 1

Final Exam
















examinations are:

- Class participation and Homework assignments (30%)

- Midterm exam or Course project (30%)

- Final exam (40%)

Grading scale

Classification Scale of 100 Scale of 4 Letter grade

PASS


Very good 80 - 89 3,5 A

Good 70 - 79 3,0 B+


Average 50 - 59 2,0 C

FAIL

Weak 40 - 49 1,5 D+

Weak 30 - 39 1,0 D


8. General rules:











assessment items.



Theory of Automatic Control

1. Course number and name

EE075IU – Theory of Automatic Control

2. Credits and contact hours

Credit hours: 4

3. Instructor’s or course coordinator’s name

Dr. Vo Tan Phuoc

4. Textbooks and Other Required Materials:

Modern Control Systems, Dorf R. C. and Bishop R. H., 12nd Edition, Pearson, 2011, ISBN-

9780136024583

Lecture Handouts

Reference:

None

5. Specific course information

a. Brief description of the content of the course (catalog description)

The aim of this course is to introduce the students to the theory and practice of classical control system

engineering. The course presents theory and methodology for modeling and analysis of control systems.

The methods for design and synthesis of feedback controllers are also discussed with the special

emphasis on how the different system variables interact and how they affect system performance,

qualitatively.

b. Pre-requisite:

MA024IU – Differential Equations

Co-requisite:

None

c. Indicate whether a required, elective, or selected elective (as per Table 5-1) course in the program

This is an elective course.

6. Specific goals for the course

a. Upon the successful completion of this course students will be able to:

1. Apply physical systems modeling using ordinary differential equation (ODE)

2. Understand the definition of a system and learn system-level thinking.

- Classify non-linear and linear systems - Understand basic properties of linear time invariant (LTI) systems, such as transient,

overshoot, response time, transfer function, poles and zeros, stability, frequency response.

- Understand the relationship between the configuration of poles and zeros and the transient

characteristics. 3. Analysis and design feedback control systems using Bode diagram and root loci

b. The relationship between Course Outcomes (1-3) and Student Outcomes (a-k) is shown in the

following table:

a b c d e f g h i j k

1 x

2 x

3 x

7. Lecture Topics:

- Math review on ODE and Laplace transformation - Introduction to control engineering

- Systems modeling and block diagram

- Representation of LTI systems in time and frequency domain

- Response of LTI systems in time domain

- Response of LTI systems in frequency domain

- Stability analysis

- PID controller design

- Feedback controller design using Bode diagram

- Feedback controller design using root locus

Lecture hours: depends on semester calendar . Office hours: based on detailed semester calendar, or by appointment at O2.206

Contact information: [email protected]

Independent Learning Experiences:

Homework problems are assigned bi-weekly collected and graded.

Course Policies:

Assignments: All assignments need to be submitted on the due date. Otherwise, a penalty of 20% per day can be considered for each assignment.

Policy on dishonesty: Students are expected to do their own work at all times. Any evidence

of plagiarism or cheating will be treated as grounds for failure in the class.


Prepared by: Vo Tan Phuoc

Date: Spring 2017


- Course: Power Electronics

- Course ID: EE


- Class time: Third year, semester 1

- Lecturer: Ton That Long



- Prerequisite: Electronic Devices (EE090IU)

- Co-requisite: Power Electronics Laboratory





Attend almost the class lecture and seminars

Submit all homeworks in time.

3. Course description: This course introduces the application of electronics to energy conversion

and control. Topics cover modeling, analysis, and control techniques; design of power circuits

including inverters, rectifiers, and DC-DC converters; analysis and design of magnetic

components and filters; and characteristics of power semiconductor devices. Numerous

application examples will be presented such as motion control systems, and power supplies.

4. Documents:

- Lecture notes

References Kassakian, John G., Martin F. Schlecht, and George C. Verghese. Principles of Power

Electronics. Reading, MA: Addison-Wesley, 1991. ISBN: 9780201096897.


Overall Educational Objective:

To introduce students the basic theory of power semiconductor devices and passive

components, their practical application in power electronics.

Specific objective: - To familiarize the operation principle of AC-DC, DC-DC, DC-AC conversion circuits and their

applications. - To provide the basis for further study of power electronics circuits and systems.

Learning outcome


1. An ability to understand basic operation of various power semiconductor devices and passive

components.

2. An ability to understand the basic principle of switching circuits.

3. An ability to analyze and design an AC/DC rectifier circuit.

4. An ability to analyze and design DC/DC converter circuits.

5. An ability to analyze DC/AC inverter circuit.

6. An ability to understand the role power electronics play in the improvement of energy usage

efficiency and the development of renewable energy technologies.

6. Course outline:


Theory Exercise

1 Introduction and analysis methods.

Introduction to rectifiers. Power factor and measures of distortion.

1 3

2 Phase-controlled rectifiers. 2 2 1

3 Introduction to DC/DC converters.

Introduction to magnetics. Isolated DC/DC converters

3-4 5 1

4 Modeling and control.

Inverters (DC/AC converters).

5-7 7 2

Mid-term Exam

5 Switching-mode rectifiers.

Switching losses and snubbers.

Soft-switching techniques.

8-10 7 2

6 Thermal modeling and heat sinking

EMI (electromagnetic interference) filtering

11 3

7 Three-phase systems 12 2 1

8 Resonant converters and RF (radio frequency) power circuits

13-14 5 1

9 Review 15 1 2

Final Exam

Total 15

weeks

45 hours



Exams: There will be one midterm and a comprehensive final exam. Exams will cover the

assigned reading material, lectures, and assignments. There are no make-up exams (except for


basis).


session/day it is due. No late homework will be accepted. Since assigned homework is an integral

part of transferring course content to students, they are to be an individual effort but group

discussions are encouraged for a better understanding of course material and solving homework.

Course Project (optional): The course project will involve the modeling, analysis, design, and

experimental (or realistic simulation) verification of a physical system under digital control.



- Attendance, Homework Problem and quizzes (20%)


- Final Exam (50%)

Grading scale


PASS


Very good 80 - 89 3,5 A

Good 70 - 79 3,0 B+


Average 50 - 59 2,0 C

FAIL

Weak 40 - 49 1,5 D+

Rather weak 30 - 39 1,0 D


8. General rules:






another person’s ideas without giving proper credit) will result in a failing grade. Students are

also reminded that careful time management is an important part of study and one of the

identified causes of plagiarism is poor time management. Students

should allow sufficient time for preparation, research, drafting, and the proper referencing of

sources in preparing all assessment items.

Computer Usage: Students are expected to use MATLAB® Pspice, Electronic Workbench for

some of the homework assignments and the course project.


- Course: Power Electronics Laboratory

- Course ID: EE


- Class time: Third year, semester 1




- Prerequisite: Electronic Devices (EE090IU)

- Co-requisite: Power Electronics








3. Course description: This course assists the theoretical course (Power electronics) involving the

energy conversion and control. It covers the building and measuring rectifiers, inverters, and

DC/DC converters; Analyzing and measuring filters; investigating into current-voltage characteristics of power semiconductor devices.

Number of credits: 1

Practical works at the laboratory, 8 lab sessions.

4. Documents: Lab manual and lecture notes of power electronics


Overall Educational Objective: To introduce students the practical uses of power semiconductor devices and passive

components, their practical application in power electronics.

Specific objective: To be familiar with the operation principle of AC-DC, DC-DC, DC-AC conversion circuits and

their applications.

Learning outcome


1. An ability to understand basic operation of various power semiconductor devices and passive

components.

2. An ability to understand the basic principle of switching circuits.

3. An ability to analyze and design an AC/DC rectifier circuit.

4. An ability to analyze and design DC/DC converter circuits.

5. An ability to analyze DC/AC inverter circuit

6. An ability to understand the role power electronics play in the improvement of energy usage

efficiency and the development of renewable energy technologies.

6. Course outline:

Lab session Content Week Practice

(hours)

Remarks

1 Characteristics of SCR 1 4

2 Characteristics of TRIAC 2 4

3 Characteristics of MOSFET

V-I relationship of IGBT

3 4

4 Half and full wave rectifiers using

R-C trigger circuits

4 4

5 Controlling voltage by using

TRIAC and DIAC

5 4

6 DC/DC Converters 6 4

7 Inverters 7 4

8 Lab test 8 4




Attendance: Students have to participate all lab sessions. There are no make-up labs (except for

special circumstances on a case-by-case basis).

Lab reports: Previous lab report is to be handed in before the beginning of class on next lab

session. No late lab report will be accepted.

Lab examination: Students have to take part the lab examination scheduled by the lab

supervisor.



- Lab report (70%)

- Lab Exam (30%)

Grading scale


PASS


Very good 80 – 89 3,5 A

Good 70 – 79 3,0 B+

Over average 60 – 69 2,5 B

Average 50 – 59 2,0 C

FAIL

Weak 40 – 49 1,5 D+

Rather Weak 30 – 39 1,0 D

Very weak 0 – 29 0 F

8. General rules:

Class Participation: Attendance of 100% is compulsory for the lab sessions. Questions and

comments are strongly encouraged.



another person’s ideas without giving proper credit) will result in a failing grade.

Computer Usage: Students are expected to use MATLAB® Pspice, Electronic Workbench for

the lab reports.

Student duty: Students have to

- Understand the fundamental of theory before doing lab

- Read lab documents before lab session

- Follow instructions from lab supervisor

- Apply the theory to explain results measured or observed

Hochiminh City, March 2014


- Course: PC Based Control and SCADA System

- Course ID: EE


- Class time: Junior

- Lecturer: Nguyen Binh Duong



- Prerequisite: Microprocessor Systems.

- Co-requisite: PC Based Control and SCADA System Laboratory.






o Submit all home works in time.

3. Course description: PC Based Control and SCADA system course provides students with

knowledge of implementing control and measurement using PC, A/D, knowledge of DA converters,

peripheral devices, the electronics that go along with sensors to refine and condition their outputs.

The knowledge of Supervisory Control And Data Acquisition (SCADA) system as well as the

SCADA commercial software will be included.

4. Documents:

- Lecture notes

References PC-Based Instrumentation. Concepts and Practice,” by N. Mathivanan, Prentice-Hall, 2007.

PC based instrumentation and control, Mike Tooley, NXB Butterworth-Heinemann, 2005


The overall course objective is to provide the student with in-depth knowledge of PC- Based

instrumentation control and basic knowledge of SCADA system.

One successful completion of the course the students will be able to:

- Understand the architecture of a PC, the methods that the PC uses to interface to the

peripherals

- Understand the electronics that go along with sensors to refine and condition their

outputs, various types of analog to digital converters that are used to digitize the sensor

outputs.

- Understand the communication protocols (e.g. RS232, USB, LAN etc.) that are used to

transfer data to and from the controller.

- Be an ability to design and develop SCADA system using various software tools based

on an analysis of the system requirements.

- Be an ability to use language programming such as VB to write programs to acquire data

from external devices.

- Be an ability to know some commercial SCADA software

6. Course outline:

Lecture Content Week

Hours Remark

Theory Practice

1 Introduction to PC-Based control and

instrumentaton . 1 3

2

Data Acquisition: Sampling Concepts,

Digital to Analog Converters, Analog

to Digital Converters.

2 - 3 4 2

3

Peripheral Interfacing: PCI card, Serial Communication Standards (RS-232,

RS-485, USB).

4 - 6 6 3

Mid-Term Examination

4 Local Area Networks. 7 - 8 4 2

5

SCADA: Fundamental concepts of

SCADA, SCADA software overall

structures, Components SCADA in general, and HMI programming.

9 - 10 4 2

6 Interface programming: Visual Basic 11 - 13 6 3

7 Commercial SCADA softwares in the industrial automation market.

14 - 15 4 2

Final Examination

Total 15 45 periods














experimental (or realistic simulation) verification of a physical system.

Grading Policy:

- Class Participation and Homework Assignments, project (30%)


- Final exam (40%)

Grading scale


PASS

Excellent 90 – 100 4,0 A+

Very good 80 - 89 3,5 A

Good 70 - 79 3,0 B+


Average 50 - 59 2,0 C

FAIL

Weak 40 - 49 1,5 D+

Weak 30 - 39 1,0 D


8. General rules:











assessment items.

Computer Usage: Students are expected to use PC for some of the homework assignments and

the course project.



- Course: PC Based Control and SCADA System Lab

- Course ID: EE


- Class time:Junior




- Prerequisite: Programmable Logic Control.


o Study the lab manual and prepare the Pre-lab before class time.



3. Course description: This course is designed to provide the student with practical

implementations of writing control programs using PC to supervise and acquire data though

peripheral devices, exploring the sensors and various types of analog to digital converters

4. Documents:

- Lab manuals

References M. Rabiee, "Programmable Logic Controllers: Hardware and Programming", Goodheart-

Willcox,2002.

Dunning, Gary, "Programmable Logic Controllers" 3rd Edition, Thompson, 2006


The overall course objective is to provide the student with practical knowledge of writing control

programs using PC to supervise and acquire data.

- Understand the architecture of a PC, Visual Basic programming language.

- Be an ability to use Visual Basic programming language to build a program .

- Understand interfacing peripheral devices as well as communication protocols (e.g.

RS232, USB, LAN etc.) that are used to transfer data to and from the controller.

- Be an ability to design and develop a SCADA system

6. Course outline:

Lab

Manuals Content

No. of

Weeks

Number of

Period Notes

1 Visual Basic programming language 1 4

2 Analog to Digital Converters. 1 4

3 Digital to Analog Converters 1 4

4 RS-232 Communication Standard. Supervise

and acquire data through RS-232 port. 1 4

5 RS-485 Communication Standard. Supervise

and acquire data through RS-485 port. 1 4

6 USB Communication Standard. Supervise 1 4

and acquire data through USB port.

7 Supervise and acquire data through LAN

port. 1 4

8 Review 1 4

Total 8 32 periods





- Participation, pre-lab, lab experimental report (70%)

- Final exam (30%)

Grading scale


PASS


Very good 80 - 89 3,5 A

Good 70 - 79 3,0 B+


Average 50 - 59 2,0 C

FAIL

Weak 40 - 49 1,5 D+

Weak 30 - 39 1,0 D


8. General rules:











assessment items.



- Course: Programmable Logic Control (PLC)

- Course ID: EE






- Prerequisite: Microprocessor Systems.

- Co-requisite: Programmable Logic Control Laboratory.







3. Course description: Provides the student with fundamental concepts of PLC and PLC systems:

such as the PLC architecture, PLC programming languages, the basic knowledge of the industrial

communication network, methods of analysis, and design.

4. Documents:

-Lecture notes

References

M. Rabiee, "Programmable Logic Controllers: Hardware and Programming", Goodheart-

Willcox,2002.



The overall course objective is to provide the student with in-depth knowledge of PLC and PLC

systems including PLC architecture, PLC programming languages, communication network…

A student who successfully fulfills the course requirements will have:

- Understanding of Basic Concepts of Programmable Logic Controllers

- Understanding of PLC Hardware Components: The I/O section, Discrete I/O modules,

Analog I/O modules, Special I/O modules, I/O specifications.

- Understanding of PLC Programming: Processor memory organization, PLC

Programming languages.

- PLC Instruction set: Relay instructions, Counter and Timer instructions, Interrupt

instructions, Sequencer Instructions…

- Developing of Fundamental PLC Wiring Diagram and Ladder Logic.

- An bility to implement ladder diagram programs.

- Understanding of Industrial communication network ( Profile bus, Field bus foundation

...) and PLC systems.

6. Course outline:

Lectures Content No. of

Weeks

Period Notes

Theory Practice

1 PLC overview. 1 3

2 The hardware architecture of a PLC.

Input Modules, Output Modules

2 - 3 4 2

3

Program structure, introduction to

blocks; Introduction to LAD, CSF and STL programming formats.

4 – 5 4 2

4 Instruction set: Relay instructions,

Timer and Counter Instructions.

6 – 7 4 2


5 Instruction set: Data Handling

Instructions, Interrupt instruction.

8 – 9 4 2

6 Process control: Sequencer Instructions,

Program Flow Instructions.

10 – 11 4 2

7 Industrial communication network. 12 – 13 4 2

8 PLC systems. 14 - 15 4 2

Final Examination

Total 15 45 periods

















examinations are:



- Final exam (40%)

Grading scale


PASS


Very good 80 - 89 3,5 A

Good 70 - 79 3,0 B+


Average 50 - 59 2,0 C

FAIL

Weak 40 - 49 1,5 D+

Weak 30 - 39 1,0 D


8. General rules:




Academic Honesty and Plagiarism: For this class, all assignments are to be completed by the

individual student unless otherwise specified. Students are also reminded that careful time

management is an important part of study and one of the identified causes of plagiarism is poor

time management. Students should allow sufficient time for preparation, research, drafting, and

the proper referencing of sources in preparing all assessment items.


the course project.



- Course: Programmable Logic Control Laboratory

- Course ID: EE

- Number of credit:1





- Prerequisite: Programmable Logic Control.





3. Course description: This course is designed to provide the student with experimental

knowledge of the S7- 200 PLC from Siemens as well as S7-200 PLC systems through lab

manuals: write control programs, choose hardware for a control system such as I/O modules,

communication modules, A/d, D/A modules…

4. Documents:

- Lab manuals

References

M. Rabiee, "Programmable Logic Controllers: Hardware and Programming", Goodheart-

Willcox,2002.



The overall course objective is to provide the student with practical knowledge of building

control system using S7-200 PLC as well as writing control programs based on S7-200 PLC

Programming language.

One successful completion of the course the students will be able to: - Understand PLC Hardware architecture: The I/O section, Discrete I/O modules, Analog

I/O modules, Special I/O modules, I/O specifications.

- Understand S7-200 PLC Programming language and S7-200 PLC Instructions

- Be an ability to write control programs under various format such as LAD, CSF and STL

- Understand a PLC network and an ability to implement a PLC system

6. Course outline:

Lab

Manuals Content

No. of

Weeks No of Period Notes

1 Overview of Step 7- Micro/Win 32 and the

S7-200 PLC 1 4

2 Logic instructions, Relay instructions 1 4

3 Sequencer Instructions 1 4

4 Counter Instructions. 1 4

5 Timer Instructions. 1 4

6 Math Instructions 1 4

7 PLC network 1 4

8 Review 1 4

Total 8 32 periods





examinations are:

- Participation, pre-lab, lab experimental report (70%)

- Final exam (30%)

Grading scale


PASS


Very good 80 – 89 3,5 A

Good 70 – 79 3,0 B+


Average 50 - 59 2,0 C

FAIL

Weak 40 - 49 1,5 D+

Weak 30 - 39 1,0 D


8. General rules:











assessment items.



- Course: Sensors and Instrumentation

- Course ID: EE

- Number of credit:3


- Lecturer: Nguyen Tuan Duc



- Prerequisite: Calculus 2 (MA003IU); Principle of EE 2 (EE055IU).







3. Course description: This course introduces students to the state-of-the-art practice in electronic

instrumentation systems, including the design of sensor/transducer elements, their respective

interface electronics, and precision measurement techniques. Students will be familiarized with

techniques used in acquisition, processing, and presentation of sensor signals: transducers,

Fourier analysis, flow measurement, amplifiers, and bridge circuits.

4. Documents: - Lecture notes

- Text book: Measurement, Instrumentation, and Sensors Handbook, Second Edition (Two

Volume Set): Spatial, Time, and Mechanical Measurement, John G. Webster, CRC Press,

2013

- References: Process Control Instrumentation Technology, Curtis D. Johnson, Prentice Hall,

2005


General objective: This course is designed to give students the basic principles of sensor and electronic measurement equipment.

Specific objective:

- To familiarize the principles of electrical engineering.

- To provide the basis for further study of Sensors and Instrumentation course.

Learning outcome A student who successfully fulfills the course requirements will have demonstrated:

a. An ability to understand the transfer function and frequency response of linear systems.

b. An ability to analyze the operational amplifier, diodes.

c. An ability to analyze the methods of measuring analog signals, sensor-circuits.

d. An ability to master all technical measurements accurately.

e. An ability to basic disciplines in Laboratory equipment and software tools; Variety of

instruction formats

6. Course outline:

Lecture Content

Week

Hour Notes

Theory Homework

1

Introduction and Review of circuit

theory; Standards, errors, uncertainty, calibration and uncertainty analysis.

Least squares analysis; fundamental

system dynamics;

1 - 4 9 2

2

Transfer functions; second order systems;

Operational amplifiers, operational

amplifier circuits using negative or

positive feedback; Analog signal detection, conditioning and conversion

systems; Precision

Measurement techniques

5 - 7 5 3

Mid-term exam

3

Environment Sensors 1 : thermocouples,

Thermistor, RTDs; Environment Sensor

2: semiconductor devices, psychrometry, capacitive probes (humidity and vapor).

8 - 10 5 3

4

Optical sensors, principles and

applications: Current sources, LED’s,

photoamplifiers, optoisolators. Advanced optical systems- optical filters, gratings,

photodiode arrays, fiber optics, gating

circuits.

10 - 13 5 3

5 Microfabricated sensors, Ultrasonic

transducers, and acoustic devices.

13 - 14 4 2

6

Introduction to applied systems for data

acquisition and control- PC or programmable logic controllers.

15 4

Final exam














Grading Policy:



- Final exam (40%)

Grading scale


PASS


Very good 80 - 89 3,5 A

Good 70 - 79 3,0 B+


Average 50 - 59 2,0 C

FAIL

Weak 40 - 49 1,5 D+

Weak 30 - 39 1,0 D


8. General rules:




Academic Honesty and Plagiarism: For this class, all assignments are to be completed by the

individual student unless otherwise specified. Students are also reminded that careful time

management is an important part of study and one of the identified causes of plagiarism is poor

time management. Students should allow sufficient time for preparation, research, drafting, and

the proper referencing of sources in preparing all assessment items.



- Course: Embedded Real-time Systems

- Course ID: EE104



- Lecturer: M.Eng. Vo Minh Thanh



- Prerequisite: Familiarity with C/C++; Digital Logic Design (EE053); Microprocessor

Systems (EE083)







3. Course description: This course addresses the considerations in designing real-time embedded

systems, both from a hardware and software perspective. The primary emphasis is on real-time

processing for communications and signal processing systems. Programming projects in a high

level language like C/C++ will be an essential component of the course, as well as hardware

design with modern design tools.

4. Documents:

- Lecture notes

References - T. Norgaard, “Embedded Systems Architecture”, 2005, ISBN 0-7506-7792-9

- Programming Embedded Systems in C and C++: Michael Barr. Publisher: O’Reilly &

Associates, Inc. ISBN 1- 56592-354-5. Copyright 1999.



- Understand the "big ideas" in embedded systems

- Obtain direct hands-on experience on both hardware and software elements commonly used

in embedded system design.

- Understand basic real-time resource management theory

- Understand the basics of embedded system application concepts such as signal processing.

6. Course outline:


Remark Theory Exercise

1 Introduction to Embedded System

System architectures, hardware functional partitioning

1 3

2 Technical Software structures of

Embedded System

2-3 4 2

3 Operating system for embedded system

4-5 4 2

4 Programming for embedded system 6-7 4 2

Mid-term Exam

5 Tasks and communication protocols

among tasks

8-9 5 1

6 Real time Scheduler and interrupt service routines

10-11 5 1

7 Embedded system design 12-13 4 2

8 Developing controlling software 14 2 1

9 Review 15 1 2

Final Exam




Exams: There will be one midterm and a comprehensive final exam. All exams will be opened-










Course Project (optional): Project is an essential part of this course. Assessment will be based

on 3 phases: System Specification, System Design, Hardware and Software Implementation with

Project Demonstration. Detailed topics and schedule will be announced in due course.



examinations are: - Class Participation and Homework Assignments (20%)

- Course Project (20%)

- Midterm exam (20%)

- Final exam (40%)

Grading scale


PASS


Very good 80 - 89 3,5 A

Good 70 - 79 3,0 B+


Average 50 - 59 2,0 C

FAIL

Weak 40 - 49 1,5 D+

Weak 30 - 39 1,0 D


8. General rules:











assessment items.

Computer Usage:

- Students will use Computer and development software to write, simulate, and

troubleshoot microcontroller assembly and C language programs

- Computer, PDA, Smartphone are not allowed in Examinations.



- Course: Embedded Real-time Systems Lab

- Course ID: EE118



- Lecturer: M.Eng. Vo Minh Thanh



- Prerequisite: Familiarity with C/C++; Digital Logic Design (EE053); Microprocessor

Systems (EE083)


o Requirements of knowledge, skills, and attitude:







3. Course description: This course Integrates microprocessors into digital systems. The course

Includes hardware interfacing, bus protocols and peripheral systems, embedded and real-time

operating systems, real-time constraints, networking, and memory system.

4. Documents:

- Lecture notes

References - T.Norgaard, “Embedded Systems Architecture”, 2005, ISBN 0-7506-7792-9

- Programming Embedded Systems in C and C++: Michael Barr. Publisher: O’Reilly &

Associates, Inc. ISBN 1- 56592-354-5. Copyright 1999.



- Design complex electronic systems interfacing multiple integrated circuits.

- Design and conduct experiments, as well as analyze and interpret data.

- Design a system, component, or process to meet desired needs.

- Identify, formulate, and solve engineering problems.

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

6. Course outline:

Lab

session

Content Week Practice (hours) Remarks

1 Introduction Embedded Software System Design Tool

1 4

2 Polled I/O and Interrupt-driven I/O 2 4

3 Serial Interface 3 4

4 ADC Interface 4 4

5 Operating System for embedded system

5 4

6 Multi-task processing and 6 4

communication protocols

7 Real-time Scheduler and interrupt

service routines

7 4

8 Real-time performance 8 4



described in the followings:

- Pre-Lab: Pre-Lab is to be handed in before the beginning of class on the session/day it is due.

No late homework will be accepted. There will be on average one homework set every two

weeks. Since assigned Pre-Lab is an integral part of transferring course content to students, they

are to be an individual effort but group discussions are encouraged for a better understanding of

course material and solving Pre-Lab.

- In Lab-Performance: The performance of each student will be evaluated by Lab instructor

basing on study attitude and number of Lab-exercises finished.

- Course Project: Project is an essential part of this course. Assessment will be based on 3 phases:

System Specification, System Design, Hardware and Software Implementation with Project

Demonstration. Detailed topics and schedule will be announced in due course.

- Exams: There will be one comprehensive final exam. All exams will be opened-book. Exams

will cover all the assigned reading material and Lab exercises. There are no make-up exams

(except for special circumstances where written excuses and official proof are considered on a

case-by-case basis).


examinations are:

- Pre-Lab and In-Lab Performance (70%)

- Final exam (30%)

Grading scale


PASS


Very good 80 - 89 3,5 A

Good 70 - 79 3,0 B+


Average 50 - 59 2,0 C

FAIL

Weak 40 - 49 1,5 D+

Weak 30 - 39 1,0 D


8. General rules:











assessment items.

Computer Usage:

- Students will use Computer and development software to write, simulate, and

troubleshoot microcontroller assembly and C language programs

- Computer, PDA, Smartphone are not allowed in Examinations.



- Course: Analog Electronics

- Course ID: EE061



- Lecturer: Tran Xuan Phuoc



- Prerequisite: Electronic Devices (EE090), Electronic Devices Lab (EE091)

- Co-requisite: Analog Electronics Laboratory (EE062)








Feedback amplifier analysis, frequency response and frequency response with feedback stability,

power amplifiers, filters and tuned amplifiers, signal generator and waveform-shaping circuits.

4. Documents: - Lecture notes

References

- A.S.Sedra and K.C. Smith, Microelectronic Circuits, 4th edition, Oxford University Press,

1998.



- The ability to determine the biasing and high-frequency response of BJT and FET amplifiers

with passive and active loads.

- The ability to analyze BJT and FET differential and multistage amplifiers with passive and

active loads.

- An understanding of the concept of negative feedback and an ability to identify and analyze

the four configurations for amplifier stability and amplifier figures of merit.

- An understanding of output stages and power amplifiers.

- An ability to second-order filters and tuned amplifiers.

- An understanding of signal generators and waveform-shaping circuits.

6. Course outline:

Lecture Content

Week

Hours Notes

Theory Homework

1

Review single-stage BJT and FET

amplifiers, multi-stage amplifiers and

differential amplifiers

1 3

2 Frequency response, high frequency 2 – 3 4 2

single stage and multi-stage

3 Time constants and Bode plots 4 – 5 4 2

4

Feedback amplifiers configuration; Gain, input and output resistance of feedback

amplifiers

6 2 1

5

Feedback examples; stability of feedback

amplifiers; Bode plots; determining stability and compensation

7 2 1

Mid-term exam

6 Introduction and classification of output

stages, class A and class B output stages

8 - 9 4 2

7 Class AB output stage; power amplifier 10 2 1

8 Review of first-order filters; introduction

to second-order filters

11 - 12 4 2

9 Sensitivity, tuned amplifier 13 2 1

10 Signal generator and waveform-shaping

circuits

14 2 1

11 Review 15 2 1

Final exam


-















- Homework Problem (10%)

- Quizzes (10%)


- Final Exam (50%)

Grading scale


PASS


Very good 80 - 89 3,5 A

Good 70 - 79 3,0 B+


Average 50 - 59 2,0 C

FAIL

Weak 40 - 49 1,5 D+

Weak 30 - 39 1,0 D


8. General rules:











assessment items.

Computer Usage: Students are expected to use Electronic Workbench for some of the homework

assignments.


COURSE SYLLABUS


- Course: Analog Electronics Lab

- Course ID: EE062



- Lecturer:Tran Xuan Phuoc



- Prerequisite: Electronic Devices (EE090), Electronic Devices Lab (EE091)

- Co-requisite: Analog Electronics (EE061)


o Requirements of knowledge, skills, and attitude:







3. Course description: This laboratory includes topics on differential transistor amplifiers; cascode

amplifiers; the constant current source; current mirrors; high frequency transistor amplifiers;

feedback amplifiers; stability of feedback amplifiers and feedback compensation.

4. Documents: - Laboratory Manual

o M.F. Caggiano and N.D. Collier, Analog Electronics Laboratory Manual.

o Laboratory Manual

References

o Adel S. Sedra and Kenneth Carless Smith, Microelectronic Circuits, 5th edition, Oxford

University Press



- Understand the basics of Negative Feedback

- Understand the topology of the IDEAL Operational Amplifier - Demonstrate the mathematical effects of negative feedback on system input resistance,

system output resistance, system bandwidth

- Understand the concept of Gain-Bandwidth Product (GBP) - Understand and demonstrate the use of Bode Magnitude plots with “real roots”

- Understand and demonstrate the how to create a transfer function – H(s) from observation of

a Bode Plot - Be able to calculate the cumulative system errors involved with operational amplifier DC

imperfections such as Input Bias currents and Input Offset voltages

- Demonstrate knowledge of a “state-variable” 3-op-amp multi-function active filter

- Understand the operation and design of various RC coupled oscillators - Demonstrate the ability to utilize computer simulation software to provide computer

generated solutions to course problems

- Be able to explain to colleagues, through both written and verbal presentations, technical

materials as presented in this course - Be able to analyze, diagnose, troubleshoot, ameliorate, and solve technical problems as

related to analog electronic circuits

6. Course outline:

Lab

session


(hour)

Remarks

1 Composite Transistor Amplifiers 1 4

2 Constant current sources 2 4

3 High frequency transistor amplifiers 3 4

4 Feedback amplifiers 4 4

5 Response of feedback amplifiers 5 4

6 ADC/DAC Converters 6 4

7 Sinusoidal Oscillators 7 4

8 Op-Amp Gain Bandwidth Product 8 4






basis).




- Laboratory experimental sessions (60%): including pre-lab report and laboratory


- Final Exam (30%).

Grading scale


PASS


Very good 80 - 89 3,5 A

Good 70 - 79 3,0 B+


Average 50 - 59 2,0 C

FAIL

Weak 40 - 49 1,5 D+

Weak 30 - 39 1,0 D


8. General rules:



encouraged.




all laboratory reports are to be completed by the individual student unless otherwise specified.

Students are also reminded that careful time management is an important part of study and one of

the identified causes of plagiarism is poor time management.

Computer Usage: Students are expected to use Electronic Workbench for some of the laboratory

preparation and reports.


COURSE SYLLABUS


- Course: Automation Manufacturing System and Technique



- Class time: Junior, Senior











This course is designed to highlight the major automation-related subjects within the scope of

manufacturing system. Special emphasis will be given on industrial robotics, robot programming

and flexible manufacturing systems (FMS). This course also transfers to student facts in real

manufacturing production lines from the experiences of lecturers and visiting speakers.

4. Documents:

- Class/Lecture notes

- Textbook: Automation, Production Systems, and Computer-Integrated Manufacturing, 3rd

Edition, Mikell P. Groover, Prentice Hall, 2008, ISBN 0-13-239321-2.

Reference Books:

- Computer-Aided Manufacturing, 2E, T.C. Chang, R.A. Wysk, H.P. Wang, Prentice-Hall,

1998.

- Computer-Integrated Manufacturing, 3E, J.A Regh, H.W.Kraebber, Prentice-Hall, 2005.

- Principles of Computer-Integrated Manufacturing, S.K. Vajpayee, Prentice-Hall, 1995.

- The Design of the Factory with a Future, J.T. Black, McGraw-Hill, 1991.

- Making Manufacturing Cells Work, L.R. Nyman (edt) Society of Manufacturing Engineers,

McGraw-Hill, 1992.


This course is designed to provide a comprehensive technical knowledge about production

automation and the role of the computer in modern manufacturing systems. The students will

Have knowledge of production systems and how automation is used in these systems.

comprehend the issues and parameters in manufacturing operations and be proficient in

estimating manufacturing lead time, capacity, utilization, work in process, and their

relationships.

understand basic elements of automation.

be able to apply cellular manufacturing, process planning principles.

apply group technology concepts for the analysis and design of flexible manufacturing

systems.

analyze automated materials handling systems. understand industrial robots their applications.

develop and execute industrial robot programs.

be able to use computer aided manufacturing applications used in virtual manufacturing

environment.

6. Course outline:

Lecture Content

Week

Hour Notes

Theory Homework

1 Introduction to Computer Integrated

Manufacturing Systems

1 3

2 Production Systems - Facilities and

Manufacturing Support Systems

2 – 3 4 2

3 Automation in Production Systems 4 – 5 4 2

4

Production Concepts and Mathematical

Models , Product - Production

Relationships

6 2 1

5

Introduction to Industrial Robotics. Robot

Classification/Applications of Industrial

Robot

7 2 1

Mid-term exam

6 Manufacturing Systems, Introduction and

Classification

8 - 9 4 2

7 Single Station Manufacturing Cells 10 2 1

8 Group Technology and Cellular Manufacturing

11 - 12 4 2

9 Flexible Manufacturing Systems 13 2 1

10 Manual Assembly Lines 14 2 1

11 Class review and project (if any) 15 2 1

Final exam
















- Class participation and Homework assignments (30%)

- Midterm exam or Course project (30%)

- Final exam (40%)

Grading scale


PASS


Very good 80 - 89 3,5 A

Good 70 - 79 3,0 B+


Average 50 - 59 2,0 C

FAIL

Weak 40 - 49 1,5 D+

Weak 30 - 39 1,0 D


8. General rules:











assessment items.


COURSE SYLLABUS


- Course: Automation Manufacturing System and Technique Lab (1 credits)












This course is designed to allow students to practice on the major automation-related subjects within the scope of manufacturing system. Special emphasis will be given on industrial robotics,

robot programming and flexible manufacturing systems (FMS). This course also transfers to

student facts in real manufacturing production lines from the experiences of lecturers and visiting

speakers.

4. Documents:

- Lab manual / Pre-lab

- Textbook: Automation, Production Systems, and Computer-Integrated Manufacturing, 3rd

Edition, Mikell P. Groover, Prentice Hall, 2008, ISBN 0-13-239321-2.

Reference Books:

- Computer-Aided Manufacturing, 2E, T.C. Chang, R.A. Wysk, H.P. Wang, Prentice-Hall,

1998.

- Computer-Integrated Manufacturing, 3E, J.A Regh, H.W.Kraebber, Prentice-Hall, 2005.

- Principles of Computer-Integrated Manufacturing, S.K. Vajpayee, Prentice-Hall, 1995.

- The Design of the Factory with a Future, J.T. Black, McGraw-Hill, 1991. - Making Manufacturing Cells Work, L.R. Nyman (edt) Society of Manufacturing Engineers,

McGraw-Hill, 1992.


This course is designed to provide a practical technical knowledge about production automation

and the role of the computer in modern manufacturing systems. The students will

Practice on some production systems and understand how automation is used in these

systems.

Simulate the issues and parameters in manufacturing operations and be proficient in

estimating manufacturing lead time, capacity, utilization, work in process, and their

relationships.

Run experiments with basic elements of automation.

be able to apply cellular manufacturing, process planning principles.

apply group technology concepts for the analysis and design of flexible manufacturing

systems.

analyze automated materials handling systems. understand industrial robots their applications.

develop and execute industrial robot programs.

be able to use computer aided manufacturing applications used in virtual manufacturing

environment.

6. Course outline:

Lab

session


(hours)

Remarks

1 Components of AKBOT-T1 plus 1 4

2 Coordinate Systems. Basic path

analysis, Recording positions.

2 4

3 Robot programming using ACL.Robot programming using

AKBOT environment

3 4

4 Practices on AKBOT-T1 plus

(groups of ~4 students)

4 4

5 Introduction to OpenCIM 5 4

6 Simulating CIM cells using

OpenCIM. Examples on OpenCIM

6 4

7 Manufacturing of a sample part in

Flexible Manufacturing

Systems laboratory

7 4

8 Final Exam 8 4




Exams: There will be one final exam. All exams will be closed-book. Exams will cover the



basis).

Pre-lab Policy: Pre-lab is to be handed in before the beginning of class on the session/day it is

due. No late pre-lab will be accepted. There will be on average one homework set every week.

Since pre-lab is an integral part of transferring course content to students, they are to be an

individual effort but group discussions are encouraged for a better understanding of course

material and solving homework. The student must receive a passing pre-lab grade to pass the

course.


examinations are:

- Lab experiments (including prelab) (70%)

- Final exam (30%)

Grading scale


PASS


Very good 80 – 89 3,5 A

Good 70 – 79 3,0 B+


Average 50 – 59 2,0 C

FAIL

Weak 40 – 49 1,5 D+

Weak 30 – 39 1,0 D


8. General rules:

Class Participation: Students are required to attend all the class sessions. Students will be

assessed on the basis of their class participation. Questions and comments are strongly

encouraged.








assessment items.





- Course: Power System and Equipment


- Number of credits:3

- Class time: senior




Requirements of knowledge, skills, and attitude





Submit all home works in time.

3. Course description: Provides the student with fundamental knowledge of electric power

systems and components of power system such as: electrical generators, electric motors, relays,

contactors, circuit breakers and measurement devices.

4. Documents: -Lecture notes

References

Weedy B.M., “Electric Power Systems”, 3rd Edition, John Wiley & Sons, 1988.

Fitzerald, Kingsley and Umans, “Electrical Machinery”, McGraw Hill Int. Book Co., 4th

E.W.Golding & Widdis, “Electrical Measurements”, 5TH EDITION, WHEELER

PUBLISHING.


The overall course objective is to provide the student with basic knowledge of electric power systems and various components of power system.

One successful completion of the course the students will be able to:

- Understand electric power systems: Single-phase power system and three-phase power

system

- Understand the structure and principle of electrical generators

- Understand the principle of of electric motors and structure of Motor Control Center

- Understand components of power systems such as: circuit breakers, contactors, relays…

- Analyze, design, optimize power systems.

6. Course outline:

Lectures Content

Period

Notes No. of

Weeks

Theory Practice

1 Overview of electric power systems 1 3

2 Single-phase power system 2 - 3 4 2

3 Three-phase power system 4 - 5 4 2

4 Electrical generators 6 - 7 4 2


5 Electric motors and Motor Control Center-MCC.

8 - 9 4 2

6 Relays 10 - 11 4 2

7 Circuit Breaker, Contactor. 12 - 13 4 2

8 Instruments 14 - 15 4 2

Final Examination

Total 15 45 periods



















- Final exam (40%)

Grading scale


PASS


Very good 80 - 89 3,5 A

Good 70 - 79 3,0 B+


Average 50 - 59 2,0 C

FAIL

Weak 40 - 49 1,5 D+

Weak 30 - 39 1,0 D


8. General rules:











assessment items.


the course project.

Hochiminh City, 18 December 2013


- Course: Neural Networks and fuzzy controls

- Course ID: EE


- Class time, location: Junior, Senior

- Lecturer: Vo Tan Phuoc



Prerequisite: Automatic Control Theory (EE075); or any equivalent undergraduate course in

Linear Control Systems.

Required skills: Signals and systems, Matlab, probability statistics, random signals

3. Course description: This course exposes the student to the fundamental issues related to the

neural networks and some training techniques and fuzzy logics with applications to design an

intelligent control systems. The course also introduces some industrial applications.

4. Documents:

- Lecture notes

- T.H. Nguyen & al., “A First Course in Fuzzy and Neural Control”, CRC, 2003

References

- M.T. Hagan & al., “Neural Network Design”, PWS Publishing Company, 1996

- S.O. Haykin, “Neural Networks and Learning Machines”, Prentice-Hall, 2008, (3rd

edition)

- B. Kosko, “Fuzzy Engineering”, Prentice Hall, 1996.

- B. Kosko, “Neural Networks and Fuzzy Systems: A Dynamical Systems Approach to

Machine Intelligence”, Prentice Hall, 1991.



- Understand the issues neural networks and fuzzy logics.

- Understand the training techniques for neural networks.

- Apply the neural networks to some pattern recognition problems

- Apply the neural networks to design some control systems

- Combine neural networks fuzzy logics to have an intelligent structure

- Understand the structure of intelligent control systems

- Design intelligent control systems

6. Course outline:


Theory Exercise

1 Review of control systems: open

loop, closed loop, stability.

1 2 1

2 Controller design, PID control, state

feedback

2-3 4 2

3 Fuzzy logic: what is fuzzy logic,?

Fuzzy sets, the grade of membership; computation rules for

fuzzy logic; fuzzy systems,

computation and simulation

4-5 4 2

4 Control using fuzzy logic: theoretical foundation, Mamdani

and Larsen methods, model-based

fuzzy control. Stability of fuzzy

control systems. Some practical examples.

6-7 4 2

Mid-term exam

5 Neural networks: some issues on the

neural netwoks and some practical

applications, one layer and

multilayer neural networks, Hebb learning rule, supervised and

unsypervised learning. Widrow-

Hoff learning rule, Backpropagation rule.

8-10 6 3

6 Control using neural networks:

theoritecal foundation, illustrating

examples for control and modeling using neural networks;

11-12 4 2

7 Fuzzy concept in neural networks:

basic rules, some training

algorithms, adaptive systems.

13-14 4 2

8 Applications of neural networks and

fuzzy logic in industries

15 2 1

9 Review

Final exam















experimental (or realistic simulation) verification of a physical system under digital control. The report should follow standard engineering report format that may include (but not limited to):

Executive summary (1 page)

Abstracts (< 200 words)

Introduction

System Modeling and Analysis

Controller Synthesis

System Analysis (for example)

– Stability and Stability Robustness Analysis

– Robustness to Parameter Variations

– Robustness to Input/Output Signal and Controller Parameter Quantization

– Effect of Computation Resource (Time) and Sampling Time

– Performance Comparison with Continuous-Time Controller

Simulation Study and Verification

Experimental Verification

Conclusion and Discussion

– Why did the controller work or didn't work? (VERY IMPORTANT)

References

The report should be limited to 10 pages including figures and drawings.



examinations are:



- Final exam (40%)

Grading scale


PASS


Very good 80 - 89 3,5 A

Good 70 - 79 3,0 B+


Average 50 – 59 2,0 C

FAIL

Weak 40 – 49 1,5 D+

Weak 30 – 39 1,0 D


8. General rules:











assessment items.





- Course: Robotics



- Class time, location: Junior, Senior

- Lecturer: Nguyen Dinh Uyen



Prerequisite: Automatic Control Theory (EE075); or any equivalent undergraduate course in

Linear Control Systems.

Required skills: Signals and systems, Matlab, probability statistics, random signals; Good

knowledge in linear algebra (matrices and vectors) and calculus; Basic knowledge in

programming in C or any other language. 3. Course description: This course introduces fundamental concepts in Robotics. Basic concepts

will be discussed, including coordinate transformation, kinematics, dynamics, equations of

motion, feedback and feed forward control, and trajectory planning. Applying the theoretical

knowledge to various motor systems, including manipulators, and mobile robotics.

4. Documents:

- Lecture notes

- References

S.B. Niku, Introduction to robotics, Analysis, Systems, Applications, Prentice Hall, 2001 S. Brian Morriss, “Automated Manufacturing Systems”, Mc Graw-Hill, 1995.

L. Sciavicco, B. Siciliano, “Modeling and Control of Robot Manipulators”, Mc Graw-Hill,

1996. Machine Intelligence”, Prentice Hall, 1991.

5. Learning outcomes: On successful completion of the course the students will be able to

- use mathematical tools for modeling robotic systems. - analyze and control the motion of a robot.

- understand robot kinematics and dynamics.

- develop motion and trajectory planning.

- evaluate sensing mechanisms. - Identify solutions for the design of robot control systems.

6. Course outline:


Theory Excercise

1 General introduction to robotics:

classification; components; degree ò freedom; applications in industries

1 2 1

2 Robot Kinematics: robot motion;

matrix representation; robot kinematics in direct and inverse

direction.

2-3 4 2

3 Differential motion: basic concept;

Jacobian matrix, differential motion

4 2 1

of a frame: rotation about one point,

about one axe; diferential changes of one axe; differential motion of a robot

4 Robot dynamics and control of force:

introduction to Lagrange mehcanics;

dynamic equations ò a robot with

several degrees of freedom;

distribution of force on a robot;

transformation of force and moment

between coordinate frames.

5-6 4 2

Mid-term exam

5 Motion planning:connected spaces

and Descarte spaces; trajectories in connected spaces and in Descarte

spaces.

7-8 4 2

6 Manipulator dynamics and manipulator control; fluidics,

pneumatics, motors, microcontroller.

9 4 2

7 Sensors: description and

characteristics; sensors for position, speed and acceleration; sensors for

prssure and force.

10 2 1

8 Vision systems: image processing

techniques, image acquisition; edge

detection; object recognition

11-12 4 2

9 Fuzzy control: fuzzy computation

rules; control systems using fuzzy

logics; computation and simulation;

applications to robotics

13-14 4 2

10 Review 1 1 2

Final exam

Total 15

weeks

45 hours














experimental (or realistic simulation) verification of robots and mobile robots.



examinations are:



- Final exam (40%)

Grading scale


PASS


Very good 80 - 89 3,5 A

Good 70 - 79 3,0 B+


Average 50 - 59 2,0 C

FAIL

Weak 40 - 49 1,5 D+

Weak 30 - 39 1,0 D


8. General rules:











assessment items.

Computer Usage: Students are expected to use MATLAB® and Simulink for some of the

homework assignments and the course project.



- Course: Industrial Electronics

- ID Course: EEAC016IU



- Lecturer: Vo Tan Phuoc ([email protected])


Prerequisite: Third year student, completed all engineering physics, chemistry and calculus

courses

Required skills: An ability to apply all basic laws of electric circuit analyses.


Fundamentals of electronics and semiconductor devices, including basic device principles.

Application of electronic devices for electric power conversion, control and operation of

industrial equipment.

4. Documents:

- Textbook: Industrial Electronics and Control by S Bhattacharya, S. Chatterjee, McGraw-Hill 2004

- Reference:

Industrial Electronics by G. K. Mithal, Khanna Publishers, Delhi, 2000.

Power Electronics Circuits, Devices and Application by M. H. Rashid, PHI, 3rd ed, 2004.


A student who successfully fulfills the course requirements will have demonstrated: 1. To get an overview of different types of power semi-conductor devices and their

Switching characteristics.

2. To understand the operation, characteristics and performance parameters of controlled

rectifiers.

3. To study the characteristics of DC and AC drives

4. To learn the different modulation techniques of pulse width modulated inverters and to

understand the harmonic reduction methods. 5. To know the practical application for power electronics converters in conditioning the

power supply.

6. Course outline:


Theory Exercise

1 Control Systems 1 2 1

2 Magnetic Control Systems 2-3 4 2

3 Semiconductor Physics 4 2 1

4 Thyristors and Their Applications

Inverters, Choppers, Dual Converters

and Cycloconverters

5-6 4 2

Mid-term exam

5 Solid State Control of D.C. and A.C.

Motors Thyristor Control Circuits

7-8 4 2

6 Electronic Control of Heating and 9 4 2

http://www.tatamcgrawhill.com/cgi-bin/same_author.pl?author=S+Bhattacharya

http://www.tatamcgrawhill.com/cgi-bin/same_author.pl?author=S.+Chatterjee

Welding

7 Photoelectric Devices 10 2 1

8 Transducers

Amplifiers

11-12 4 2

9 Ultrasonics

Microprocessors

13-14 4 2

10 Review 1 1 2

Final exam


















- Final exam (40%)

Grading scale


PASS


Very good 80 - 89 3,5 A

Good 70 - 79 3,0 B+


Average 50 - 59 2,0 C

FAIL

Weak 40 - 49 1,5 D+

Weak 30 - 39 1,0 D


8. General rules:











assessment items.






Digital Control


EEAC017IU – Digital Control


Credit hours: 3


Dr. Vo Tan Phuoc


Discrete-time Control Systems, K. Ogata., 2nd Edition, Pearson, 1995, ISBN-9780130342812

Lecture Handouts

Reference:

None



The aim of this course is to introduce the students to the basic of control discrete-time systems. The

course presents the representation of physical system in discrete-time with special emphasize on

sampling theory, z-transform, equivalent of continuous and discrete-time systems. The stability is also

discussed. The several methods for design and synthesis of feedback controllers such as direct, Bode

and feedforward method are respectively represented.

b. Pre-requisite:

EE075IU – Control Systems

Co-requisite:

None




c. Upon the successful completion of this course students will be able to:

1. Identify the required components to implement a digital control system.

2. Understand and formulate the specifications of a digital control system.

3. Design digital control system according to their specifications.

d. The relationship between Course Outcomes (1-3) and Student Outcomes (a-k) is shown in the

following table:


1 x

2 x

3 x

8. Lecture Topics:

- Introduction to digital control system

- Sampling and reconstruction signal

- Z-transformation review

- Discrete-time systems representation

- Stability

- Digital controller synthesis - Comparison between continuous-time and discrete-time controller

Lecture hours: depends on semester calendar .

Office hours: based on detailed semester calendar, or by appointment at O2.206




Course Policies: Assignments: All assignments need to be submitted on the due date. Otherwise, a penalty of 20% per

day can be considered for each assignment.





Date: Spring 2017

COURSE SYLLABUS


- Course: Electrical Safety



- Class time: Senior, Junior

- Lecturer: Tran Vinh Phuong


- Prerequisite: EE123IU – Electrical Systems

- Prerequisite by topics:

o Electrical systems

o First aid

o Electrical circuits






Submit all homework in time


The course is oriented to the understanding of electrical hazards to prevent it. Firstly, it introduces

the student to the knowledge of how to recognize, evaluate and control electrical hazards. Some

guidance regarding how to proceed in case of an emergency is also covered. Then, it provides

students the safety rules and regulations for electricians, precautions for electrical and mechanical

hazards on the job, tool and equipment safety, first aid, Cardio-Pulmonary Resuscitation (CPR),

blood borne pathogens, Occupational Safety and Health Administration (OSHA) and National

Fire Protection Association (NFPA) mandated lockout/tag-out, personal protective equipment,

right to know, and confined space entry procedures.

4. Documents:

- Lecture notes

- References

o “Core Curriculum Introductory Craft Skills Trainee Guide”, by National Center for

Construction Education and Research (NCCER), Prentice Hall, 2004 (reference book)

o Cooper Bussmann, “Handbook for Electrical Safety”, 2nd edition (reference book)

o “NFPA 70E – Standard for Electrical Safety in the Workplace”, 2012 edition

o R. Jones, K. Mastrullo, and J. Jones, “Handbook for Electrical Safety in the Workplace”,

2012 edition


Based on the satisfactory completion of this course, the students will be able to: - Recognize electrical hazards

- Evaluate electrical hazards by performing a basic Hazard/Risk analysis

- Control electrical hazards by means of

o Appropriately use electrical safety procedures

o Appropriately enforce or communicate safety procedures

o Appropriately select personal protective equipment, and organize tasks and procedures

following safety standards guidelines

6. Course outline:


Remark Theory Exercise

1 - Pertinent OSHA and NFPA 70E electrical regulations

- How to determine approach boundaries

1- 2 3 1

2 - What to wear and what not to wear near electrical hazards

2 – 3 2 2

3 - How to select the proper Personal

Protective Equipment (PPE) for shock and arc-flash using the NFPA 70E tables

4 – 5 3 1

4

- How to combine flame-resistant clothing

to provide proper protection

- How to properly care for the assigned

PPE

- How to recognize an electrical hazard

- How to avoid electrical hazard

- How to reduce the potential of a

hazardous electrical arc-flash

6 – 7 3 1

Midterm

5

- The importance of proper selection and

settings of over current devices

- What are the requirements to be qualified

to perform electrical work or related tasks?

8 – 10 3 1

6

- What is an electricity safe working condition and energized electrical work

permit

- Labeling requirements

11 2

7 - Importance of proper grounding and

Ground Fault Circuit Interrupters (GFCIs) 12 3 1

8 - Prohibited uses of flexible cords 13 – 14 3 1

9 - Review 15 2

Final
















examinations are: - Class Participation and Homework Assignments (30%)


- Final exam (40%)

Grading scale

Classification Scale of 100 Scale of 4 Letter grade

PASS


Very good 80 - 89 3,5 A

Good 70 - 79 3,0 B+


Average 50 - 59 2,0 C

FAIL

Weak 40 - 49 1,5 D+

Weak 30 - 39 1,0 D


8. General rules:











assessment items.


- Course: Electric Machine



- Class time: junior, senior




Prerequisite: Principle of Electrical Engineering 1 and 2 (EE0); or any equivalent undergraduate

course in Electrical Engineering.




Willing to answer questions in the class. Attend almost the class lecture and seminars

3. Course description: This course exposes the student to the fundamental of electro magnetic

circuits, principle of Electro mechanical – Energy – Conversion and its applications in electric

motors. This course provides also the knowledge and structure of different electric motors.

4. Documents:

- Lecture notes

- Text book: Austin Hughes, Electric Motors and Drives, 3th Ed. , Elsevier, 2006.

- References: A. E. Fitzgerald, C. Kingsley, and S. D. Umans, Electric Machinery, 6th Ed., McGraw-Hill, 2003.


A student who successfully completes the course Electric Motors will: 1. Understand the basic concept of Magnetic Circuit and Electric Motors

2. Analyze the principle of Electro mechanical and calculate the Energy Conversion in

different electric motor circuits. 3. Have detailed understanding of D. C. Drives, Synchronous Drives and Stepping Drives

4. Have detailed understanding of principle and structure of different electric motor

5. Analyze and apply electric motors in automatic control fields.

6. Course outline:


Theory Exercise

1 Introduction to Magnetic Circuit 1 3

2 Introduction to Electric Motors 2 2 1

3 Power Electronic Converters for

Electric Motors

3 2 1

4 Conventional D.C. Motors and D. C.

Motor Drives

4-5 4 2

5 Induction Motors – Rotating Field,

Slip and Torque

6-7 4 2

Mid-term Exam

6 Operating characteristic of Induction 8-9 4 2

Motors

7 Induction Motor Equivalent Circuit 10-11 4 2

8 Inverter – Fed Induction Motor Drives

12-13 4 2

9 Stepping Motors 14 2 1

10 Project Presentation – Course review 15 3

Final Exam

Total

15

weeks

45 hours







Homework Policy: Homework problems are assigned bi-weekly collected and graded and are

handed in before the beginning of class on the session/day it is due. No late homework will be

accepted. Since assigned homework is an integral part of transferring course content to students,

they are to be an individual effort but group discussions are encouraged for a better understanding

of course material and solving homework.

Course Project: The course project will involve the modeling, analysis, design, and experimental

(or realistic simulation) verification of a physical system under digital control. The



- 30% for in-class quizzes and homework assignments

- 30% for midterm examination.

- 40% for final examination.

Grading scale


PASS


Very good 80 - 89 3,5 A

Good 70 - 79 3,0 B+


Average 50 - 59 2,0 C

FAIL

Weak 40 - 49 1,5 D+

Weak 30 - 39 1,0 D


8. General rules:


Active learning, questions and comments are strongly encouraged.




all assignments are to be completed by the individual student unless otherwise specified.

Computer Usage: Students use computer to support learning. Students are expected to use

computer for assignments (in-class and homework) and project.




System Diagnostic

1 Course number and name

EEAC0xxIU – System Diagnostic

2 Credits and contact hours

Credit hours: 3

3 Instructor’s or course coordinator’s name

Dr. Vo Tan Phuoc

4 Textbooks and Other Required Materials:

Lecture Handouts

Reference:

Fault-Diagnosis Systems - An Introduction from Fault Detection to Fault Tolerance Nonlinear

system, I. Isermann, Springer, 2006, ISBN 9783540303688



The aim of this course is to introduce the student the initiative of fault detection, isolation and

localization in physical systems. The concepts of residue and parity space in both static and dynamic

case are discussed. The method for detection and isolation the abnormal sensors using state observer

and state estimation is also introduced.

b. Pre-requisite:


Co-requisite:

None





- Understand the concept of residues and parity space

- Apply the parity space technique to detect the fault

- Apply the state observer and state estimation for detection and localization the abnormal sensor.

b. The relationship between Course Outcomes (1-3) and Student Outcomes (a-k) is shown in the following

table:


1 x

2 x

3 x

7. Lecture Topics:

- Introduction to fault detection and system diagnostic

- Generation of residue using sensors

- Generation of analytic residues

- Parity space – case static - Parity space – case linear dynamic

- Parity space – case non-linear dynamic

- State observer and state estimation for fault detection


Office hours: based on detailed semester calendar, or by appointment at O2.206




Course Policies: Assignments: All assignments need to be submitted on the due date. Otherwise, a penalty of 20% per


Policy on dishonesty: Students are expected to do their own work at all times. Any evidence of

plagiarism or cheating will be treated as grounds for failure in the class.



Date: Spring 2017



Advanced Control Engineering


EEAC0xxIU – Advanced Control Engineering


Credit hours: 3


Dr. Vo Tan Phuoc


Lecture Handouts

Reference:

Modern Control Systems, Dorf R. C. and Bishop R. H., 12nd Edition, Pearson, 2011, ISBN-

9780136024583

Discrete-time Control Systems, K. Ogata., 2nd Edition, Pearson, 1995, ISBN-9780130342812

The Control Handbook, W. S. Levin, 2nd Edition, CRC Press, 2010, ISBN 9781420073669



The aim of this course is to introduce the student the advanced topics on control engineering. Based on

state space representation in both continuous and discrete-time, the problematic of observer-based

control is discussed. Then principle of optimal control is followed. The topic on non-linear control is

also covered.

b. Pre-requisite:


Co-requisite:

None




a. Upon the successful completion of this course students will be able to: 1. Understand the control specification and observer-based controller

2. Apply the optimal control to satisfy the control performances

3. Understand the non-linear dynamic behaviors and the non-linear control method


following table:


1 x

2 x

3 x

7. Lecture Topics:

- State space representation review

- State observation

- Observer based control - Introduction to optimal control

- Design optimal controller

- Non-linear dynamic behaviors

- Non-linear control


Office hours: based on detailed semester calendar, or by appointment at O2.206 Contact information: [email protected]



Course Policies:

Assignments: All assignments need to be submitted on the due date. Otherwise, a penalty of 20% per






Date: Spring 2017



COURSE SYLLABUS

Course Number and Title: EE103 – Image Processing - 3 credits (required)

Course Description:

The course begins with one-to-one operations such as image addition and subtraction and image descriptors such as the histogram. Basic filters such as the gradient and Laplacian in the spatial

domain are used to enhance images. The 2-D Fourier transform is introduced and frequency

domain operations such as high and low-pass filtering are developed. It is shown how filtering techniques can be used to remove noise and other image degradation. The different methods of

representing color images are described and fundamental concepts of color image transformations

and color image processing are developed. The concepts of image redundancy and information theory are shown to lead to image compression. Lossless and lossy image processing algorithms

such as LZW will be covered and related to image compression standards such as JPEG.

Programming assignments will use MATLAB and the MATLAB Image Processing Toolbox.

Pre-Requisite :

- Signals and Systems.

- Probability and random process

Co-requisite:

EE088 - Signals and Systems

Pre-requisite by topics:

1. Continuous-time and discrete-time signals

2. Sampling

3. Fourier transform

4. Probability and random variables

Textbooks and Other Required Materials:

R. C. Gonzalez and R. E. Woods, Digital Image Processing, Prentice Hall, 2nd Edition, 2002.

Reference J.H. McClellan, R.W. Schafer, and M.A. Yoder, Signal Processing First, Pearson Prentice Hall,

2003

Course Objective:

The course emphasis is upon learning digital image processing via a number of programming

assignments. To develop skills for enhance images using basic filters in the spatial domain, 2-D

Fourier transform, fundamental concepts of color image transformations and color image

processing, morphology. To understand lossless and lossy image compression.

Expected Learning Outcomes:


1. An ability to understand basic image operations such as adding, subtracting, histogram

equalization, image scaling.

2. Knowledge and understanding of image enhancement.

3. An ability to recognize, use, and analyze digital images using filtering techniques in both

spatial and frequency domains.

4. Knowledge of methods for lossy and lossless image compression and the information theory.

5. Understanding the basic concepts of image transformations and color image processing.

6. Understand of the image morphology and segmentation concepts.

Lecture Topics:

Week Session Content Room Notes

01 Lec 01 Overview of Image Processing and application areas, image formation and sensing; Project guidelines.

TBA

02 Lec 02 Sampling and quantization; Pixel connectivity; Introduction

to the MATLAB Image Processing Toolbox Homework 1

03 Lec 03 Review of probability and random variables

Due Homework 1

Homework 2

04 Lec 04,

05 Image enhancement and basic spatial processing tools

Due Homework 2

Homework 3

05 Lec 06,

07 Image enhancement in frequency domain

Quiz 1

Due Homework 3

Homework 4

06 Lec 08 Image restoration: Noise models; Spatial filters; Inverse

Filtering

Due

Homework 4

Homework 5

07 Lec 9 Color image processing: Some basic color models; Pseudocolor processing

Due

Homework 5

Homework 6

08 Lec

10,11 Image compression and standards

Due

Homework 6

Homework 7

09 Lec 12,

13 Image morphology and segmentation

Quiz 2

Due Homework 7

Homework 8

10 Lec 14 Project presentation Due

Homework 8

11 Lec 15 Review

Final exam week

Contribution of Course to the Professional Component (reference to CUA university): Image processing is one of the option for selecting furthur in-depth study of Electrical Engineering Program.

Both the theoretical and applied aspects of this subject are essential to the training of an electrical

engineer. The engineer must understand the basics of signals and system analyzing skills that they will work.

Relationship of Course to Program Objectives (reference to CUA university): This course supports several EE educational objectives PEO 1 and 4 as listed in Table 2.

Course Grade:

- 15% for in-class quizzes and assignments.

- 30% for project



Course Outcome (CO)/Learning Outcome (LO) Table (reference to CUA university)

The Table below shows how this course relates to the eleven Learning Outcomes (LO) for the Electrical

Engineering program.

LO

CO

(a) (b) (c) (d) (e) (f) (g) (h) (i) (j) (k)

1 X x x X x x

2 X X X x x x

3 X x x x

4 X X X X X x x X

Outcome Assessment (reference to CUA university)

The course employs the following mechanisms to assess the above learning outcomes:

1. Homework is assigned and graded weekly to assess the level of student understanding of topics covered during the week. The learning outcomes are also exhibited through the results of the several

exams given during the semester and the final examination.

2. The instructor frequently asks students if they understand the lectures.

3. The overall assessment of the course is done through the University student evaluation.

Process of Improvement (reference to CUA university):

The instructor continuously tries to improve the course as described as follows:

1. The instructor frequently evaluates the student performances through homework and exams and

reviews the suggestions made by students during the semester. Then the instructor takes proper steps to correct problems.

2. At the end of each semester, the instructor meets with the chairman to discuss improvement plan for

the course based on the Student Course Evaluation organized by the University

Prepared by: Liem Trung Kieu



COURSE SYLLABUS

Course Number and Title: EE103 – Image Processing Lab - 1 credit

Course Description:

Experimental exercises via simulation using MATLAB to get understanding of digital image processing and basic concepts of computer vision: image enhancement in time domain and

frequency domain, morphology and segmentation.

Pre-Requisite :

None.

Co-requisite:

EE103 – Image Processing


1. Continuous-time and discrete-time signals

2. Sampling

3. Fourier transform

4. Probability and random variables

Textbooks and Other Required Materials:

R. C. Gonzalez and R. E. Woods, Digital Image Processing, Prentice Hall, 2nd Edition, 2002.

Reference

J.H. McClellan, R.W. Schafer, and M.A. Yoder, Signal Processing First, Pearson Prentice Hall,

2003

Course Objective:

The course emphasis is upon learning digital image processing via a number of programming

assignments. To develop skills for enhance images using basic filters in the spatial domain, 2-D Fourier transform, fundamental concepts of color image transformations and color image

processing, morphology.

Expected Learning Outcomes:


1. An ability to understand basic image operations such as adding, subtracting, histogram equalization, image scaling.

2. Knowledge and understanding of image enhancement.

3. An ability to recognize, use, and analyze digital images using filtering techniques in both spatial and frequency domain.

4. Understanding the basic concepts of image transformations and color image processing.

5. Understand of the image morphology and segmentation concepts.

6. Ability to prepare laboratory reports.

Lecture Topics:

Week Session Content Room Notes

01 Lab 1 Image Processing with MATLAB.

02 Lab 2 Intensity & Histogram Manipulation.

03 Lab 3 Spatial Filtering.

04, 05 Lab 4 Transform and Filtering.

06, 07 Lab 5 Object Detection.

08 Exam Lab final exam

Contribution of Course to the Professional Component (reference to CUA university): Both the

theoretical and applied aspects of this subject are essential to the training of an electrical engineer. The engineer must understand the basics of signals and system analyzing skills that they will work.

Relationship of Course to Program Objectives (reference to CUA university): This course supports several EE educational objectives PEO 1,2 and 4 as listed in Table 2.

Course Grade:

1. Presence in laboratory (10%)

2. Pre-lab reports (10%)

3. Practical (35%)

4. Laboratory experimental reports (15%)

5. Final exam (30%).

Course Outcome (CO)/Learning Outcome (LO) Table (reference to CUA university)

The Table below shows how this course relates to the eleven Learning Outcomes (LO) for the Electrical Engineering program.

LO

CO

(a) (b) (c) (d) (e) (f) (g) (h) (i) (j) (k)

1 X x x X x x

2 X X X x x

3 x x x

4 X X X X X x x X

Outcome Assessment (reference to CUA university)

The course employs the following mechanisms to assess the above learning outcomes:

1. Homework is assigned and graded weekly to assess the level of student understanding of topics covered during the week. The learning outcomes are also exhibited through the results of the several

exams given during the semester and the final examination.

2. The instructor frequently asks students if they understand the lectures.

3. The overall assessment of the course is done through the University student evaluation.

Process of Improvement (reference to CUA university):

The instructor continuously tries to improve the course as described as follows: 1. The instructor frequently evaluates the student performances through homework and exams and

reviews the suggestions made by students during the semester. Then the instructor takes proper steps to

correct problems.

2. At the end of each semester, the instructor meets with the chairman to discuss improvement plan for

the course based on the Student Course Evaluation organized by the University

Prepared by: Liem Trung Kieu



COURSE SYLLABUS


EE068IU – Principles of Communication Systems


1. Signals

2. Fourier Series and Transforms

3. Linear Systems Theory

4. Probability


Credit hours: 3


4. Textbooks and Other Required Materials

- S. Haykin, Communication Systems, 4th Ed, John Wiley, 2001.


a. brief description of the content of the course (catalog description)

This course covers basic analog and digital communication system theory and design, with an

emphasis on wireless communications methods.

b. Pre-requisite: - Probabilities and Random Processes

- Systems and Signals

Co-requisite: Principles of Communication Systems Laboratory

c. indicate whether a required, elective, or selected elective (as per Table 5-1) course in the program

This is a required course.



1. Understand the basic concept of information

2. Understanding of amplitude and frequency modulation and demodulation methods including

synchronous demodulation, nonlinear demodulation and phase-locked loops.

3. Understanding of digital communication basics including matched filters, signal space methods

and optimal receiver design

4. Be able to analyze and design baseband digital communication systems: Pulse code modulation,

Delta and Differential pulse code modulation and Wave shaping


following table:


1 x

2 x

3 x

4 x

7. Lecture Topics:

1. Introduction and Linear Systems Review

2. AM Modulation/Demodulation/Receivers, Multiplexing

3. FM Modulation/Demodulation/Receivers, Multiplexing

4. Noise Characterization, Noise in AM/FM Systems

5. Sampling and PAM, Probability Review

6. Simple Quantization, Convexity, Loyd-Max Quantization

7. Delta Modulation, Adaptive Modulation

8. Pulse Code Modulation

9. Digital Transmission and Line Coding

10. Digital Modulation

11. Digital Communication System

12. Review and Final Examination

How course outcomes are assessed:

- 15% for assignments, in-class quizzes.

- 20% for project.



Computer Usage:

Students use computer simulation to support learning.

Laboratory Experiences :

There is a separate course EE069IU associated with this course.



Principles of Communication Systems Laboratory


EE115IU – Principles of Communication Systems Laboratory


Credit hours: 1


Dr. Nguyen Tuan Duc

4. Text book, title, author, and year

- Laboratory Manual supplied by the instructor.

- S. Haykin, Communication Systems, 4th Ed, John Wiley, 2001.

a. other supplemental materials

Laboratory documents

Students use the computer Lab-Volt software to do exercises in Laboratory.


a. brief description of the content of the course (catalog description)

This course provides experiments dealing with basic fundamental concepts of communication

systems. It includes the following topics: Amplitude Modulation/Demodulation; Angle

Modulation/Demodulation; Sampling, Holding and Reconstruction of PAM signals; Pulse Code Modulation;

b. prerequisites or co-requisites

1. Signals and systems

2. Principle of communication systems

c. indicate whether a required, elective, or selected elective (as per Table 5-1) course in the program



a. specific outcomes - To provide students experimental experiences in the operation of basic analog and digital

communication system.

- A student who successfully fulfils the course requirements will have demonstrated:

- An ability to operate laboratory equipment.

- An ability of to analyze and design the amplitude and frequency modulation and demodulation

systems including synchronous demodulation, nonlinear demodulation and phase-locked loops

- An ability to analyze and design baseband digital communication systems: Pulse Amplitude

Modulation, Pulse code modulation, Delta and Differential pulse code modulation and Wave

shaping

b. explicitly indicate which of the student outcomes listed in Criterion 3 or any other outcomes

are addressed by the course.

The relationship between Course Outcomes (1-3) and Student Outcomes (a-k) is shown in the

following table:


1 x

2 x

3 x

7. Lab topics

1. Amplitude Modulation Fundamental

2. Generation of AM Signals

3. Reception of AM Signals

4. Frequency Modulation

5. Generation of FM Signals

6. Sampling and PAM

7. Review and Lab Test

How course outcomes are assessed:

- 10% for Pre-Lab

- 60% for Lab Test and Report


Computer Usage:

Students use computer simulation to support learning.


Course: Stochastic Signal Processing

- Course ID: EE


- Class time: Senior

- Lecturer:

o Address:

o Telephone:

o Email:

o Working hour contact:


Prerequisite: None

Co-requisite: None






Submit all homework in time.

3. Course description: To introduce the student into basic and more advanced topics of

mathematical modeling process of decision problems in complex stochastic industrial

environments. This course covers stochastic operations research models, algorithms, and

applications. Markov chains and queuing models are discussed. Renewal theory, reliability

theory, and stochastic models for manufacturing systems are also taken into consideration. This

course also covers the analytical models which are the complements to a discrete event simulation

approach.

4. Documents:

- Lecture notes - S.M. Ross: Introduction to Probability Models, Academic Press, 2000.

References

A.H-S Ang, and W.H. Tang: Probability Concepts in Engineering Planning and Design,

-Vol. I Basic Principles,

-Vol. II Decision, Risk, and Realibility, John Wiley, 1984.

R.E. Barlow, and F. Proschan: Mathematical Theory of Reliability, John Wiley and Sons,

1965.

J.A. Buzacott, and J.G. Shanthikumar: Stochastic Models of Manufacturing Systems,

Prentice-Hall, 1993.

F. Hillier, and G. Lieberman: Introduction to Operations Research, McGraw Hill, 2001.

S. Karlin, and H. Taylor: A First Course in Stochastic Processes, Academic Press, 1974.

S. Karlin, and H. Taylor: A Second Course in Stochastic Processes, Academic Press, 1981.

J. Medhi: Stochastic Processes, Wiley Eastern Ltd., 1994.

H.A. Taha: Operations Research : An Introduction, Macmillan Co., 1992.


Overall Education Objective: To introduce the basic principles, methods and applications of Modeling for Decision Support,

Modeling Random Processes, Queuing Models, Markov Chains, Renewal Theory, Reliability

Theory, Discrete Event Simulation, Industrial Case Studies.

Learning outcomes:


- To be able to define appropriate stochastic process models - To be able to analyze stochastic models for a given research problem

- To be able to provide logical proofs of important theoretical results

- To be able to apply the theory of stochastic processes to model real random phenomena - To be able to use computer programs for simulation of stochastic process models

6. Course outline:

Lectures Content Weeks

Period Notes

Theory Practice

1

Probability Theory

- Introduction

- Random Variables, Distributions,

and Functions of Random Variables - Conditional Probability and

Conditional Expectation

- Applications

1 4

2

Discrete Time Markov Chains

- Chapman-Kolmogorov Equations

- Classification of States

- Limiting Probabilities - Applications

2-3 4 2

3

Continuous Time Markov Chains

- Continuous time Markov chains - Birth-Death Processes

- Chapman-Kolmogorov Equations

- Limiting Probabilities

- Applications

4-5 4 3

4

Continuous Time Markov Chains

- Continuous time Markov chains

- Birth-Death Processes

- Chapman-Kolmogorov Equations - Limiting Probabilities

- Applications

6-7 4 3

5

Renewal Theory - Limit Theorems

- Renewal Reward Processes

- Regenerative Processes

- Semi-Markov Processes - Applications

8-9 4 3

6 Queuing Theory 10-11 4 2

- Introduction and Examples

- M/M/1 and M/M/k Models - M/G/1 and G/M/1

- Models with Limited Queue

Capacity.

- Modeling Networks of Queues - Multi-server Queues

- Priority Queues

- Applications

7

Reliability Theory - Minimum Path and Minimum Cut

Sets

- Bounds on Reliability Functions - Expected System Life

- System with Repairs

- Applications

12-13 4

8

Discrete Event Simulation - Generation of pseudo random

numbers

- Simulation of stochastic processes - Applications

14-15 4

Total 15 weeks 45 periods



Exams: There will be one midterm and a comprehensive final exam. Exams will cover the



basis).







Course Project (optional):



examinations are:



- Final exam (50%)

Grading scale


PASS


Very good 80 - 89 3,5 A

Good 70 - 79 3,0 B+


Average 50 - 59 2,0 C

FAIL

Weak 40 - 49 1,5 D+

Weak 30 - 39 1,0 D


8. General rules:











assessment items.


the course project.

ACADEMIC CURRICULUM AUTOMATION AND CONTROL

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