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					  Program                       Course Name            Credit hrs



               Seminar                                    1/1
Core Course


               Master Thesis                              3/3
               Ph.D. Dissertation                         6/6

               Engineering Economy                         3




               Technology Management                       3




               Management of Business Performance          3


               Project Management                          3


               Supply Chain Management                     3




               Service Operation Management                3




               Problem Solving and Innovation              3

               Strategic Planning                          3

               Manufacturing Management of high-tech
Management                                                 3
               Industry
Technologies
Management
Technologies


               Global Logistics Management               3


               Business Models and Information Systems   3
               System Engineering & Management           3




               System Thinking with Application          3




               Product Design & Development Management   3




               Case Study                                3




               Green Product Management System           3




               Inventory Systems                         3




               Supply Chain Management                   3


               Manufacturing Management of high-tech
                                                         3
               Industry


               Global Logistics Management               3
                     Material Flow Systems                     3




                     Scheduling Theory                         3




Production Systems


                     Simulation                                3




                     Intelligent Manufacturing Systems         3




                     e-Supply Chain Collaborative Management   3




                     Lean Production                           3




                     Production and Operation Management       3
                        Service Quality Management         3



                        System Engineering & Management    3




                        Customer Relationship Management   3




                        Regression Analysis                3



                        Design of Experiment               3
 Quality Management


                        Statistical Process Control        3




                        Reliability Engineering            3




                        Quality Engineering                3



                        Quality Technology                 3


                        Quality Management                 3




                        Material Flow Systems              3




Manufacturing Systems
                        Intelligent Manufacturing Systems   3




Manufacturing Systems

                        Analysis of Manufacturing Systems   3




                        Computer Integrated Manufacturing   3




                        Multivariate Analysis               3


                        Simulation Analysis                 3




                        Probability Model                   3




                        Queuing System                      3




                        Mathematical Programming            3




                        Non-linear Optimization             3




 Operations Research
                      Linear Programming                  3
Operations Research


                      Financial Engineering               3




                      Network Analysis                    3




                      Statistic Method                    3




                      Operations Research                 3




                      Intelligent Manufacturing Systems   3




Information Systems
                      Knowledge Engineering and Management       3
Information Systems




                      Database Systems                           3


                      Object-Oriented Analysis and Design        3


                      Distributed Information Systems            3


                      Business Models and Information Systems    3


                      Psychology in Engineering and Management   3




                      Human Factors Engineering                  3


  Human Factors       Occupational Biomechanics                  3
   Engineering
                      Human Computer Interaction                 3




                      CAD&Virtual Reality                        3
                                    Course Content
In this course, researchers will be able to understand the spirit and implication of
research through presentation of dissertation by experts and scholars. Meanwhile,
through these presentations, the intrinsic content of dissertations will be discussed.
Through discussion, students will familiarize with dissertation formats and general
methods adopted in industrial engineering research as well as the ability to compile
and write.



Investment decision analysis is an essential pieced of knowledge for industrial
engineering in the future. This course will help students understand how to make
decisions based on Engineering Economy Theory.
The objective of this course is to realize what is technology, and the importance, the
strategy and the evaluation of technology management. After the end of this semester,
students should be able to:
1. illustrate the definition of technology
2. realize the importance of technology management
3. evaluate the technology
4. manage the technology of research and development
5. realize the importance of knowledge management.
1.Understand operational performance management and its purpose and functions.
2.Discuss tools and structure of various types of operational performance management
3.Understand operational performance management related approaches adopted by
well-known companies home and abroad.
Teach students the skill and knowledge of theory and application in Project
Management to facilitate the improvement of project schedule, cost, and performance.
(1) To introduces supply chain management (SCM) and describes how supply chain
management is critical in today’s global business.
(2) To provide models, concepts and solution methods in the design, control,
operation, and management of supply chain systems.
1.Understanding Servicing Industry
2.Characteristics of Servicing Industry
3.Service strategies
4.New Service Development
5.The Service Encounter
6.Service Quality
7.Customer Service System Operations
8.The Supporting Facility

1.Understanding the significance, purpose, and function of strategic planning.
2.Understanding the structure and operational steps of strategic planning.
3.Understanding the strategic planning of well-known companies.
This course surveys topics concerning high-tech manufacturing environment including
impact of globalization, supply chain, and manufacturing in various high-tech sectors.
With the growth of globalization and international trade, international logistics has
been one of the key issues in today’s business operations. IE508R aims at introducing
students how logistics is operated in a global perspective and how technologies have
transformed the way of doing business. In addition, by incorporating case studies, we
enable learners to better understand the possibilities and challenges in the real world.

Ensure students’ correct conceptualization and approach adoption in system
engineering. Cultivate students’ ability to serve as project director and system
engineer.
The objective of this course is to discuss essential systems paradigms that effectively
solve system problems, related dimensions, applied methods, and related issues. Upon
completion of this course, students will be able to:
1.Understand the nature, content, and scope of systems paradigms.
2.Understand the role and function of systems paradigm in problem solving and
management processes.
3.Familiarize with systems paradigm related dimensions and methods.
4.Apply systems paradigms to solve various types of problems.
Targeting methods and management of learning new product development, apply new
technically developed methods and “Green Design Issues” in conjunction with global
concepts for environmental integration and develop integrated strategies. The purpose
of this course is to cultivate outstanding talents in engineering technology education to
ensure their ability to design, analyze, endeavor for innovate, and integrate.
1.By studying and researching in the overseas and domestic industry cases to cultivate
the abilities of critical and analytical thinking
2.Integrate the Harvard Business School teaching method, provide the opportunities of
peer –learning and develop the potential creativity of students.
3.Create a more general and integrated knowledge learning environment for students
Since 2003, The European Union (EU) has been setting up environmental directives
that have caused great impacts on Taiwanese exporters and the supply chain. Through
this course, students will be able to:
1.Familiarize with the environmental directives and customers’ environmental
protection requirements.
2.Discuss ways to establish the green supply chain in response to environmental
needs.
3.Strengthen knowledge through practical implementations of the information
management system.
1. To help students understand the principles of inventory systems from basic through
advanced materials.
2. To help students understand the newer development of in inventory research and
learn mathematical skills for problem solving.
(1) To introduces supply chain management (SCM) and describes how supply chain
management is critical in today’s global business.
(2) To provide models, concepts and solution methods in the design, control,
operation, and management of supply chain systems.
This course surveys topics concerning high-tech manufacturing environment including
impact of globalization, supply chain, and manufacturing in various high-tech sectors.
With the growth of globalization and international trade, international logistics has
been one of the key issues in today’s business operations. IE508R aims at introducing
students how logistics is operated in a global perspective and how technologies have
transformed the way of doing business. In addition, by incorporating case studies, we
enable learners to better understand the possibilities and challenges in the real world.
give students the knowledge and experience of logistics systems. This course will take
a broad view of logistics management and discuss both the operational and strategic
issues. Topics such as transportation management, warehouse and facility location
management, inventory management, information system and logistics strategies will
be discussed. Through this course, we help students establish the ability to identify
logistics problems and create solutions for procurement, manufacturing and
distribution operations.
1. Introduction to Scheduling
2.A Single-Machine Scheduling
3.Flowshop Problem
4.parallel Processing and Batch Sequencing
5.Network-Based Scheduling
6.Job Shop Scheduling
7.Open Shop Scheduling
8. Manpower Scheduling
9. Tool Scheduling on NC machines
10. Electronic-Component Tape Assemblies on a Sequencer
This course is to develop student's ability to apply computer simulation in modeling
real or conceptual systems. Student will learn to implement and verify the computer
simulation model, to evaluate and analyze the simulation output, and to interpret the
results of computer simulation.
When we deal with the complicated problems (NP-hard problems), it is difficult to
find an optimal solution, but we can use the soft-computing methods (or called the
meta-heuristic algorithms) to find an approximated optimal solution within reasonable
time. This course covers the prevalent meta-heuristic algorithms, such as Genetic
Algorithm (GA), Tabu Search (TS), Simulated Annealing (SA), Ant Colony
Algorithm (ACO), Fuzzy Set, Artificial Neural Networks, and Particle Swarm
Optimization (PSO). In this class, students can learn the concepts of these meta-
heuristic algorithms and run some relative programs to solve some simplified
application problems. global manufacturing become major characteristics of a
Global sourcing and
contemporary supply chain. Supply chain management encompasses the planning and
management of activities involved in sourcing, procurement, conversion, and logistics
management. Because of the Internet technology, Supply chains have advanced in the
last two decades with improved efficiency, agility, and accuracy. In this course, issues
of forming a supply chain and information technology (IT) applications to enhance
supply chain performance will be discussed. This is not an IT course, but a production-
extended course with Internet enabled applications. The major objective is to facilitate
students with the fundamental capability and background to analyze a supply chain
and build up an e-supply chain.
The course introduces students to the concept of lean production through the study of
Toyota's 4P model: Philosophy, Process, People & Partners and Problem Solving. At
the end of the course, students should have an understanding of philosophy behind
lean production, methods and tools to achieve waste reduction and process and
techniques for problem solving.
In this curriculum, there will be discussion on the different production systems and
operational management. There will also be film showing and teaching with software
in class and “little field” will be used to perform experiments.
1.Understand characteristics of the servicing industry and service quality.
2.Understand determining factors and measuring methods of service quality.
3.Establish the management system of service quality.
4.Understand SERVQUAL and Kano Model
5.Understand how TQM is applied in the servicing industry.
Ensure students’ correct conceptualization and approach adoption in system
engineering. Cultivate students’ ability to serve as project director and system
engineer. seek customer satisfaction, establish long-term relationships, and enhance
1.Ways to
customer loyalty.
2.Ways to set up a database for important customer information in order to discover
customers’ potential needs.
3.Conduct 1-1 marketing and lifetime customer marketing through Data Warehousing
and Data Mining.
Introduce linear regression models that are widely used in engineering, business, and
sciences. Underlying theory and the practical problems are both emphasized in this
class. For their importance in practice, model-building process for regression and
validation of the chosen regression model are also discussed.
Teach students the knowledge and the importance of experimental design, and let
students learn that as a tool for engineers and researchers in product design and
development as well as process development and improvement.
1. To understand applying the statistical concepts and methods to control the process
quality.
2. To develop the capability to design a statistical process control system.
3. To evaluate and design the sampling plan for the system.
Reliability is one of the important characters of quality. Improving product quality and
reliability can start from product design and manufacturing phases sequentially. This
course introduces information, strategies and models of reliability to enhance the
design, assessment and maintenance phases for improving system reliability.
1. To apply quality engineering to optimize process.
2. To utilize quality engineering to parameter design for new product design or new
process design.
3. To study and analyze the project logically
1.Understand important tools used in quality management, special projects, and
problem analyzing.
2.Apply these tools through case study.
The course focuses on topics such as the statistical process control tools, process
capability analysis, gauge R & R, factorial experiment design, and acceptance
sampling. Other topics include the Taguchi method and six sigma process.
give students the knowledge and experience of logistics systems. This course will take
a broad view of logistics management and discuss both the operational and strategic
issues. Topics such as transportation management, warehouse and facility location
management, inventory management, information system and logistics strategies will
be discussed. Through this course, we help students establish the ability to identify
logistics problems and create solutions for procurement, manufacturing and
distribution operations.
When we deal with the complicated problems (NP-hard problems), it is difficult to
find an optimal solution, but we can use the soft-computing methods (or called the
meta-heuristic algorithms) to find an approximated optimal solution within reasonable
time. This course covers the prevalent meta-heuristic algorithms, such as Genetic
Algorithm (GA), Tabu Search (TS), Simulated Annealing (SA), Ant Colony
Algorithm (ACO), Fuzzy Set, Artificial Neural Networks, and Particle Swarm
Optimization (PSO). In this class, students can learn the concepts of these meta-
heuristic algorithms and run some relative programs to solve some simplified
application problems. of various production systems such as assembly line, transfer
1.Study the efficiency
line and FMS in order to train students to have the related system analysis capability.
2.Through teamwork report to train students to have team cooperation capability.
3.Study current related research topics in order to understand the research trends.
The objectives of this course is to cover the fundamental concepts in manufacturing,
automation, and various topics in production and control systems. These include
numerical control, industrial robots, computer integrated manufacturing systems,
flexible manufacturing systems, and process monitoring and control. At the end of this
course, students should be able to:
1. realize the manufacturing operations
2. realize the production design and CAD/CAM in production system
3. write the numerical control program
4. realize the operations of Industrial Robotics
5. construce the CIM system
Introduce techniques for multivariate data analysis. We will focus on inference about
mean vectors, MANOVA, multivariate control charts, principal component analysis,
factor analysis, and canonical correlation analysis.
First course on simulation, including simulation modeling, random variate generation,
output analysis, and efficient simulation techniques, with more emphasis on simulation
methodologies.
Risk management is a hot topic in the current management, especially after the
financial crisis in 2008. This course will benefit both the instructor and participants
since there are more real cases can be discussed and used as exercises or in-class
examples. Since this is a quantitative and application oriented course, participants will
learn how to understand the real case; how to interpret the real case using the language
of modeling; how to build up the model; how to analyze the model and to find those
important performance indexes numerically
The queuing system is commonly adopted in the manufacturing and servicing
industry. This course will allow students to understand the queuing system through
analysis and in turn optimize it. The dynamic method used to control the system will
also be introduced.
1. Understand the common problems in the field of integer programming, such as train
scheduling, air flight crews arrangement, production planning, communication
network, and etc.
2. Understand the fundamentals of integer programming, establish mathematical
models, and learn the skills to solve the integer programming problems.
Optimization models can be classified according to whether decision variables are
continuous or discrete, and whether objective functions and constraints are linear or
nonlinear. This course introduces basic theory and computational strategies for
unconstrained and constrained nonlinear optimization models with continuous
variables.
Allow students to understand problem analysis/solving, construction model, utilize the
operational research method as well as use of software packs in solving various types
of problems encountered in management into order to efficiency and effectively set up
policies.
The financial services industry will be one of the emerging industries in Taiwan in the
future. Besides the introduction of financial tools; more importantly, mathematical and
quantitative modeling and analysis of investment relate problems will be covered.
In network analysis course, we will introduce the various network problems, models,
and solution methods in the network application area. The contents will cover the
famous network flow problems, such as the shortest-path problem, maximum-flow
problem, minimum-cost-flow problem, minimum spanning-tree problem, multi-
commodity flow problem and project-management schedule problem. The main
methods consist of out-of-kilter algorithm (OKA), network primal-simplex method,
project management, graphical evaluation and review technique (GERT), and the
analyses of complexity of network algorithms. In this class, students can learn how to
formulate the above problems and solve these problems from the network viewpoint
and learn how to use the LINGO software (student version) to solve these network
problems.
In this course, we are going to teach the basic statistical analysis method with the use
of the software from Excel. The ultimate purpose of this class is to train students to
look at the problems in quantitative ways and solve them as a statistical problem, to be
able to use the software and to be able to explain the results.
1. Linear Programming
2. Transportation and Assignment
3. Network Optimization
4. Integer Programming
5. Queuing Theory
6. Simulation
7. Markov Chains
8. Dynamic Programming
9. Decision Analysis
10. Game Theory
When we deal with the complicated problems (NP-hard problems), it is difficult to
find an optimal solution, but we can use the soft-computing methods (or called the
meta-heuristic algorithms) to find an approximated optimal solution within reasonable
time. This course covers the prevalent meta-heuristic algorithms, such as Genetic
Algorithm (GA), Tabu Search (TS), Simulated Annealing (SA), Ant Colony
Algorithm (ACO), Fuzzy Set, Artificial Neural Networks, and Particle Swarm
Optimization (PSO). In this class, students can learn the concepts of these meta-
heuristic algorithms and run some relative programs to solve some simplified
application problems.
The purpose of this course is to introduce and discuss Knowledge Engineering, an
important issue in industrial management at present from “information technology”
and “industrial management” perspectives. Students are expected to have knowledge
of the basic concepts and operational skills in the filed of knowledge engineering and
management. This course covers the following issues: “Definition of knowledge, ways
to express knowledge effectively, systematic classification of knowledge, ways to
infer new knowledge, establishment of a basic platform of knowledge engineering, the
correlation between knowledge engineering and e-commerce, the correlation between
knowledge engineering and manufacturing planning, the important implication of
management in enhancing industrial competitiveness of knowledge engineering, etc.
This course consists of lectures, Harvard case studies, and literature for reading,
supplemented by software practice and topic production.
This course is intended to give students a solid background in relational database
systems. Students will learn the design of databases and how to work with the
database; therefore they will be familiar with data modelling concepts (E-R and Class
diagrams) and complex SQL queries of relational databases.
The course surveys the object-oriented analysis and design method used in software
development as well as system modeling and introduces the UML and SysML
notations.
Seminar style course during this semester. Students are group learning the state-of-art
concepts and models of distributed information systems. Topics of this semester
concentrate on remote method invocation, P2P programming, and service oriented
architecture.

1. Understand basic psychological principles including perception, memory, and
decision and its applications in human behaviors when interacting with engineering
and management environments.
2. Learn how to describe and assess human-system performance from the
psychological point of view and better design the task and procedure of the system.
1. Human Factors Principles and Applications
2. Literature Review and Analysis
3. Human Factors Measurements and Research Methods
Learn how to develop or apply biomechanical models to assess or redesign the
operations for safety and health in occupational settings.
1. Understand the psychology of computer users
2. Study how user interface is designed and usability is achieved
3. Learn to design experiments to study human computer interaction
Introduction of 3D graphic software and virtual reality theory and application. Upon
completion of this course, students will be able to:
Familiarize with the latest 3D graphic/design software functions.
Familiarize with the technical application of latest virtual reality
Hands-on of 3D graphic and virtual reality software
Apply 3D graphic and virtual reality software in solving engineering related problems.

				
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