Course
Credits
Code
IE503
3
Course
Required／
Year
Elective
1
Required
Course Title
Simulation
Objective
Present a process for problem resolution, policy crafting
and decision making in industry and queuing systems
based on the use of Simulation. Emphasis is placed on
developing modeling skills using the simulation
language Arena.
IE505
3
1
Elective
Stochastic Processes
Construct and analyze stochastic models. Apply
(I)
stochastic models in engineering and system
management.
IE507
3
1
Elective
Mathematical
Provide an introduction to the theory, algorithms, and
Programming(I)
applications of linear programming. Students will be
able to develop experience in formulating linear
programming problems, a thorough understanding of
linear programming algorithms, and a basic
understanding of the techniques used in applications.
IE508
3
1
Elective
Artificial
Instruct classmates to see: 1.AI system implementation
Intelligence and
2.AI mathematical basis 3.Database and data
Expert System
warehousing 4.Cloud system and computing
Topics
IE517
3
1
Elective
Inventory Systems
Introduce various inventory control systems and models,
and Control
related costs and performance measures involved in
inventory management, and common inventory control
policies.
IE524
3
1
Elective
Engineering
(1) Let students know what the bridge between
Management
"engineering" and " management" is. (2) Provide the
Systems
basis of knowing how to take a PMP lincence (3) Let
students learn the knowledge of ABC finance
managemnt (4) Offer students the concepts of risk
analysis (5)Using SCM to integrate production and
services (6) BPR introductions
IE531
IE533
IE537
3
3
3
1
1
1
Elective
Elective
Elective
Advanced Quality
To introduce the modern methods of quality control and
Control
quality improvement.
Probabilistic
Learning the probability theory and the applications of
Analysis
probabilistic models in stochastic processes.
Advanced Facilities
To understand the theories and applications in facility
Planning
planning, storage layout, and material handling system
problems. Also, we provide case studies material and
softwares for students to solve the problems.
IE538
3
1
Elective
Experimental Design
In this course, we will learn a variety of experimental
and Application
designs, look at the advantages, disadvantages, and use
different type of design, outline the procedures for
constructing the designs, and consider the analysis and
interpretation of data from different type of experiments.
IE538
3
1
Required
Experimental Design
To teach students understand various experimental
and Applications
design methods and advantages and weakness. Through
lectures, homework exercises, case studies and statistical
software , the students will familiarize the utilization of
experimental design methods and the analysis and
interpretation of experimental data.
IE541
3
1
Elective
Decision Analysis
The purpose of decision analysis is to help a
decision-maker consider the specific problem at hand,
including the overall structure and characteristics of the
problem, as well as his (her) and other experts'
preferences and viewpoints. Decision analysis provides
both an overall paradigm and a set of tools with which a
decision-maker can construct and analyze a model of a
decision situation. Above all else, the aim of studying
decision-analysis techniques is to enable one to
represent real-world problems using models that can be
analyzed to gain insight and understanding. It is through
such insight and understanding that the quality of
decisions can be improved. At the conclusion of the
course participants should be able to: 1.Model decisions,
Model uncertainty, Model preferences, Use decision
trees/influence diagrams 2.Use data and subjective
opinions of experts to construct analytical models that
could help managers make quality decisions
IE543
3
1
Elective
Production Planning
1.Overview of the whole production planning technique
2.Discussion of literature
IE544
3
4
Elective
Computer-Aided
The main objective is to learn (1) CAD/CAM theoretic
Design and
bases and practical methodology, (2) CAD/CAM
Manufacturing (I)
software and hardware, (3) Geometric modeling and
solid modeling, (4) Application and integration of CAD
and CAM, (5) Computer-aided process planning, (6)
Application in manufacturing of electronic products,
with an emphasis on the applications in industrial
engineering.
IE555
3
1
Elective
Group Decision
The goal of this course is to provide the knowledge of
Making
group decision making. The course covers not only the
aspects of behavior science and social psychology, but
also the technologies of small group discussion and
group decision support system.
IE561
3
1
Elective
Statistical Methods
After completing this course, students will be able to
and Data Analysis
(1)correctly apply statistical methods to solve various
engineering problems,and (2)implement the
corresponding data analysis algorithms into both Excel
and Matlab environments. In specific, this course will Use real case studies to practice the overall data analysis
flow, - Enforce the finding and solving of the
deficiencies of existed statistical tools, and - Enhance
the student`s capability on designing and
implementation of data analysis algorithms
IE562
3
1
Elective
3D Visual
This course introduces the theory and implementation of
Simulation and
industry-oriented 3D VR and games
Virtual Reality
IE565
3
1
Elective
Human Factors
“Ergonomics in the field of work applications” discusses
the necessity of integrating humanity with
environmental factors, human characters and limitations
while designing tools, equipments, vehicles,
hardware/software systems that people contact in work
environments. The main purpose of this discipline is to
enhance the solidarity and productivity of workers by
enhancing their work performance, promoting their
welfares, securing their operational safety and quality of
work, and as a result discovering a human-based
strategy of scientific management that will bring about
user satisfaction. In addition, this course will introduce
“work studies”, which also emphasizes human-based
concepts and values, to modify the idea of work
efficiency from a humanized perspective and to grasp
the basic techniques of rationalized improvements.
IE566
3
1
Elective
Reliability
Teaches about Reliability Engineering Related
Engineering
Technalogies. Focus on Theoretical Rationales and
Practical Applications. Emaphases on Modern Industrial
Characteristics and International Trend.
IE571
3
1
Elective
Advanced
Introduce the concepts of basic engineering economy
Engineering
and utilize the case studies material and analytical
Economics
softwares to equip the students with the engineering
economy problem solving abilities.
IE576
3
1
Elective
Global Logistics
This course introduces students to the concept of the
Management
global supply chain. Course will focus on supply chain
modeling and optimization. Optimization models for
solving plant/warehouse location, inventory control,
transportation problems, commonly found is logistical
decision, will be discussed. The coordination among
these optimization models is required in global logistics
system. The information technology for this integration
will also be covered.
IE579
3
1
Elective
Transportation
This course introduce the basic concept of management
Management
and characteristics of different transportation modes.
Different facility location problems and vehicle routing
problems will be discussed. Both exact solution
approaches and heuristics are covered.
IE581
3
1
Elective
Service Systems
The course focuses on the definitions and contents of
Design
service system and investigate the planning, design, and
operational perspectives of these service systems to
effect. The course provide cases to help students get the
insights of their successful operational decisions.
IE582
3
1
Elective
Network Analysis
In modern world, industrial and business management
often confronts complex decision problems. These
problems often can be classified as Network
Optimization problems. This course teaches students the
modelingm solution techniques and applications of such
problems.
IE586
2
1
Required
Seminar
To introduce the new developments of the industry for
the industrial engineering discipline. We also invite the
researchers and practitioners from either academia or
industrial sectors to present their new research results or
business practices. The enforcements of working and
research attitude and coopration with others are the
major concern.
IE590
3
1
Elective
Machine Vision
Study the theory and practice of image processing with
the emphasis of image analysis for object recognition
and automated visual inspection in industry.
IE591
3
1
Elective
Analysis of Material
To understand the definition and scopes of the logistics
Flows and
system. We also interest to discuss the topics of facility
Distribution System
plan, design and operations(storage & transportation) in
logistics system.
IE592
3
1
Elective
Just-in-Time
(a) Providing an environment of active leraning for
Production Systems
students. (b)Avoiding students be tired for coming to
university.
IE593
3
1
Required
Advanced
The course introduces advance production planning and
Production Control
control procedures in the manufacturing industries,
including various quantitative analysis models and
production management theories. Through participation
of practical projects, students would better understand
practical operation procedures of production planning
and Control in industries.
IE599
3
1
Elective
Data Mining
Data Mining has become one of fastest growing fields in
the applications of artificial intelligence. Data mining is
a hot topic right now due to corporate needs to process
years of data that have been compiled but never
analyzed. Data mining refers to the process of
automatically extracting valid, useful, and previously
unknown information from large databases and using it
to make crucial business decisions. Data Mining has
evolved from several areas including databases, artificial
intelligence, information retrieval, and statistics. This
course is designed to provide graduate students with a
solid understanding of data mining concepts and tools
including knowledge discovery, data warehousing, rule
discovery, and information compression and
reconstruction.
IE602
3
1
Elective
The Operational
The objective of this course is to address challenges and
Models of
technological issues that managers face in the Mobile
e-Enterprise
world. This course covers the topics of Mobile App
Development and digitization of business processes to
build and manage an effective Digital Enterprise.
IE604
3
1
Elective
Enterprise Resources
This course covers a present-day analysis of ERP
Planning
systems, implementation issues, and the integration of
ERP and Electronic Commerce. Students will gain
on-hand experience in deploying ERP system to solve
real-world problems
IE606
3
1
Elective
Advanced Enterprise
The course is designed to provide an in-depth conceptual
Diagnostics
framework for understanding business diagnostics. The
objectives are
(1) to acquaint the student with the
knowledge and skills needed for business management,
and (2) to analysis the problem of business management
and how to make the proposal of management
improvement on business.
IE607
3
1
Elective
Heuristic
This course is a survey of the newer, most common
Optimization
metaheuristic methods and their applications on
industries and business.
IE608
3
1
Elective
Technical Writing
The course is designed to afford engineering students the
opportunities to practice the technical speaking in a
controlled way so that they will emerge as confident and
competent engineers in workforce. Hence, students will
be expected to demonstrate: (1) the ability to modify
their technical presentation in the light of
self-evaluation; (2) a good model of English in all the
necessary communicative situations.
IE609
3
1
Elective
The Management of
The Management of Enterprise Digitization is a course
Enterprise
to the challenges that managers face in the digital
Digitization
realm.In essence, this course covers the topics of
Business Process Re-engineering and digitization of
business processes to build and manage an effective
Digital Enterprise. This course deals exclusively with
the digital aspect of the enterprise and covers such topics
as:u how to re-design business processes for increasing
the degree of relevant digitization ; u how to measure the
performance and effectiveness of the digital enterprise; u
how the digital enterprise can alter or extend an
organization`s business model; u how markets change as
more consumers migrate online; how the automation of
digital processes can change market dynamics; how trust
can be fostered in computer-mediated interaction; hw to
securely manage the digital enterprise; how to protect
digital intellectual property.
IE610
3
1
Elective
Mobile Commerce
The purpose of this course is to explore the impact of
wireless and mobile e-commerce on the ways in which
business is conducted in this electronic era, as well as
the technologies involved in developing systems that
will support this new way of doing business. This
exploration is designed to give the student: a) an
appreciation for the use of wireless technologies in
achieving business objectives and changing the way
business strategies are being implemented, b) an
understanding of the various technologies used in
mobile e-commerce, and c) technical skills for
developing and deploying wireless and mobile
e-commerce systems. This course aims to provide the
student with a balanced coverage on both the managerial
and technical issues relevant to wireless and mobile
e-commerce. Upon finishing the course, the student is
expected to have a good grasp on the strategic,
managerial and technical issues in the design and
implementation of wireless and mobile e-commerce
systems.
IE614
3
1
Elective
Data Pattern
n this course, we will study the newly developed data
Recognition and
pattern recognition techniques for solving
Classification
one-dimensional and multiple-dimensional data analysis
problems encountered in industry engineering, including
statistical process control (SPC), outlier/fault detection,
financial data analysis, sales analysis, and surface defect
inspection. Data filtering and separation techniques and
statistical pattern recognition are the main focuses of the
course. Related software tools will also be introduced
for implementing the algorithms, and applied for course
assignments and term project.
IE615
3
1
Elective
Fuzzy Engineering
1. Extensive fuzzy mathematics theory and
and Information
implementation cases are presented. 2. This course is to
introduce the basic concepts of fuzzy expert system
computing methodology and to provide the uncertainty
and decision process for knowledge management. 3.
Combining theoretical and practical perspectives,
emphasizing software design for fuzzy system and fuzzy
mathematical development tools.
IE618
3
1
Elective
TFT-LCD Industry
TFT-LCD industry has sustained rapid expansion in
Analysis and Case
Taiwan that it accounts for above 70% of total annual
Study
revenue of local electro-optical industries. The purpose
of this course is to provide students with sufficient
knowledge about organization and operation of local
panel makers, the supply chains of local TFT-LCD
industry. We will also focus on the introduction of the
applications of flat-panel technologies with emphasis on
the applications of case study, understanding of frontier
R&D on these high value-added devices to inspire
students searching for new application areas.
IE619
3
1
Elective
Design and
This course introduces the theory and skills to develop
Construction of
somatosensory video game (SVG) systems
Virtual Reality
Systems
IE622
3
1
Elective
Managing for
The objectives of this course are to deliver the topics,
Business Excellence
including the concepts of business excellence, what an
excellent business is and how an excellent business is
practised, to students who are intend to be a practician or
a researcher in the field of industrial engineering and
management.
IE624
3
1
Elective
Usability
To enhance products and service, more and more
Engineering
companies are adding job openings related to Usability
Engineering, User Experience, and User-Centered
Design. A product or service designed with the concepts
of usability not only can promise that users can interact
with the product or service without hindrance,
hesitation, and questions, but also increase its
competitiveness. To fit you for these job requirements,
this course will familiarize you with a variety of
methods for gathering User Experience and enhancing
Usability. Via this course, you will first learn the
methods of observation, questionnaire, interview,
prototypes, videotaping, and eye-tracking system. Then,
you will learn how to perform an experimental
evaluation of the developing product or service.
IE999
3
1
Elective
Research
The objective of the course is to teach the principles of
Methodology
scientific research methods and the logic of dissertation
writing. Also, training students to complete a graduate
level thesis independently and successfully is the
expectation from the course.
Purple: Taught in English