Fu Jen Catholic University
2008- 2009
Department / Code
(開課單位/單位代碼)
Graduate Institute of Applied Statistics /7262
Graduate Institute of Management /7262
Course Code
(課程代碼)
01559
Course Name
(課程名稱)
Operations Research
Course Objectives
(課程目標)
Prerequisites
(先修課程)
Credit
F
S
(學分數)
3
0
Operations Research is one of the most important analysis and decision making tools.
To apply Quantitative Methods and computer software efficiently may be one of the major
elements of a successful organization. The objective of this course is to improve the
students' ability to formulate Mathematic Models and use it to solve the real problems.
Upon course completion, the students should be able to:
1. Realize the basic concepts and theoretical knowledge of Operations Research,
2. Understand the true means of quantitative data, and use the relative skill to solve the
management problems,
3. Obtain the ability for the further study and research.
none
Hamdy A. Taha
Course Materials
(課程教材)
Reference
(參考書目)
Operations Research - An Introduction, 8th. ed. 2007.
1. Gerald J. Lieberman, Mark S. Hillier, and Frederick S. Hillier,
Introduction to Management Science, 1st. ed. 2000.
2. Papers.
%  期末報告/論文撰述(Team Paper/Theses Writing)
課堂之前測(Pre-test)
課堂中的隨堂測試(Quiz)
luation
(評量方式)
Pedagogical Methods
(教學方法)
Course Web
(課程網頁)
%
 課堂參與(Class Participation)
30%
10%
 期中考(筆試)(Midterm Test)
30%
心得/作業撰寫(Assignment)
%
 課堂後測/期末考(筆試)(Final Test)
30%
專題發表(Presentation)
%
學生表現側寫報告(Profile Report)
個案分析報告撰寫(Case Report)
%
%
課堂上實作演練(Role Playing)
專業團體之證照檢定(Certification)
%
%
個別面試或口試(Oral Exam)
%
其他(Others)
%







講授(Lecture)
個案教學(Case Study)
電子教學(e-Learning)
體驗教學(Project Adventure)
角色扮演實境教學(Role Playing)
企業競賽遊戲(Business Simulation Game)
管理電影(Theater Learning)







競賽讀書會(Study Group)
專題實作(Seminar on Field Research)
產業實習(Intership)
服務學習實作(Service Learning)
自主學習(Independent Study)
對話教學法(Dialogue Teaching)
其他
Course Outline
(課程大綱進度)
Contribution to
Mission
(本課程與管理學院
使命之關係)
Week
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
Date
Topic
Introduction to Operations Research
Operations Research Models and Techniques
Construction of the LP model
Graphical Solutions and Sensitivity Analysis
The Simplex Algorithm
Special Cases in Simplex Method Application
Dual Problem and Dual Simplex Method
Post-optimal or Sensitivity Analysis
Mid-term Exam
Transportation Model and Its Variants
The Assignment Model
Network Models and Goal Programming
Integer Linear Programming
Deterministic Dynamic Programming
Queueing Systems
Markovian Decision process
Team Paper
Final Exam
全人教育
(Holistic Education)
 做中學
(Learning by doing)
人本價值
(Human-centric values)
 整合資源
(Resource integration)
 創新知識
(Innovative knowledge)
 國際視野
(International view)
 掌握投入之專業知識內涵並能建立起一套學習及研究的方法。
Each student should be able to recognize the appropriate methods and procedures of
research pertaining to their area of specialization. This learning goal is met through the
completion of their thesis projects.
 能整合理論與實務，提升各種組織之績效。
Each student should be able to integrate theory and practical applications to increase the
productivity of organizations. This learning goal is met through the course embedded
exams.
Contribution to
learning goals：
management college
(本課程能達成開課
單位的哪些目標-院)
 拓展國際視野與觀點，提升其國際化能力。
Each student should be able to expand their global perspectives to adapt to
internationalization. This learning goal is met through the course embedded exams.
 善用現代資訊科技於資源之統整與應用。
Each student should be able to capitalize on modern information technology in the
integration and use of resources. This learning goal is met through the course embedded
exams.
建立正確的專業倫理與人本價值觀念並應用於專業的決策中。
Each student should be able to recognize professional ethics and human-centric values,
and be able to apply them in professional decision-making. This learning goal is met
through the course embedded exams.
 由「做中學」提升學生實作能力並能實踐理論解決問題的能力。.
Each student should be able to enhance their ability in practical applications through
learning-by-doing, as well as the ability to apply theories in solving problems. This
learning goal is met through projects.
強化學生英文聽、說、寫、溝通的能力，為國際合作做準備。

Each student should be afforded the opportunity to listen, speak, and write in English in
Contribution to
learning goals:
Graduate Institute of
Applied Statistics
(本課程能達成開課
單位的哪些目標-所)
preparation for international cooperation. This learning goal is met through the course
embedded exams.
培養能以統計理論結合實務決策之專業管理與分析人才。

Each student should be able to become a professional manager or
analyst who can integrate statistical theories in practical
decision-making. This learning goal is met through the thesis writing.

培養學生對各種統計工具的熟悉程度，並能善用於其他專業領域問題的解決。
Each student should be familiar with statistical tools and use such tools to solve
problems in other fields of specialization. This learning goal is met through the course
embedded exams.
Instructor
(老師資料)
Name: 黃榮華
E-mail: [email protected]
Phone: 29052669, 29052678
Office Hour: Tue. 9:00am-3:30pm, Fri. 9:00am-4:30pm
Room: SL 261
Syllabus for 2008, Fu Jen Catholic University
Department / Code
Course Code
Graduate Institute of Applied Statistics /7262
Graduate Institute of Management /7262
01559
Course Name
Operations Research
Course Objectives
Prerequisites
Course Materials
Reference
Evaluation
Course Outline
Instructor
F
S
3
0
Operations Research is one of the most important analysis and decision
making tools. To apply Quantitative Methods and computer software
efficiently may be one of the major elements of a successful organization.
The objective of this course is to improve the students' ability to formulate
Mathematic Models and use it to solve the real problems. Upon course
completion, the students should be able to:
1. Realize the basic concepts and theoretical knowledge of Operations
Research,
2. Understand the true means of quantitative data, and use the relative skill
to solve the management problems,
3. Obtain the ability for the further study and research.
None
Hamdy A. Taha
Operations Research - An Introduction, 8th. ed. 2007.
1. Gerald J. Lieberman, Mark S. Hillier, and Frederick S. Hillier,
Introduction to Management Science, 1st. ed. 2000.
2. Papers.
1. Class Participation 10%
2. Team Paper
30%
3. Mid term Exam
30%
4. Final Exam
30%
1. Introduction to Operations Research
2. Operations Research Models and Techniques
3. Construction of the LP model
4. Graphical Solutions and Sensitivity Analysis
5. The Simplex Algorithm
6. Special Cases in Simplex Method Application
7. Dual Problem
8. Dual Simplex Method
9. Post-optimal or Sensitivity Analysis
10. Transportation Model and Its Variants
11. The Assignment Model
12. Network Models
13. Goal Programming
14. Integer Linear Programming
15. Deterministic Dynamic Programming
16. Queueing Systems
17. Markovian Decision process
Huang, Rong-Hwa, Ph.D.
E-mail: [email protected]
Phone: 29052669, 29052678
Office Hour: Wed. 9:00am-4:30pm, Fri. 9:00am-4:30pm
Room: SL 261
Credit
科目名稱：作業研究
授課對象：管研所‧ 應統所 (上 3 /下 0)
授課老師：黃榮華
授課方式：講授與研討
教科用書：Hamdy A. Taha
Operations Research- An Introduction, 8th. ed. 2007, 華泰
參考用書：1. Gerald J. Lieberman, Mark S. Hillier, and Frederick S. Hillier
Introduction to Management Science, 1st. ed. 2000, 華泰
2. 相關論文與講義
上課時間：星期三 13:40~16:30
日期
主題
章節
970917 Introduction to Operations Research…………...........…………...............(0)
Operations Research Models and Techniques......…………………...........(1)
DETERMINISTIC MODELS
24 Construction of the LP model……………………………………………(2)
Graphical Solutions and Sensitivity Analysis…...………………………(2)
1001 The Simplex Algorithm……......................……….……..........................(3)
08 Special Cases in Simplex Method Application………….........................(3)
Dual Problem……………………………….………….…......................(4)
15 Dual Simplex Method……………………………………………………(4)
22 Post-optimal or Sensitivity Analysis……………………….....................(4)
29 Transportation Model and Its Variants……………..……………………(5)
The Assignment Model………………………….......….............................(5)
1105 Network Models………………………….……………………………….(6)
12 期中考試
19 Goal Programming………….………………………………….……….…(8)
26 Integer Linear Programming-1.....……….............……..........................(9)
1203 Integer Linear Programming-2.....……….............……..........................(9)
10 Deterministic Dynamic Programming-1…..…………...............…...........(10)
17 Deterministic Dynamic Programming-2...…………….............................(10)
PROBABILISTIC MODELS
24 Markovian Decision process-1………...………………………………(19)
31 Markovian Decision process-2………………………...………………(19)
980107 Case Study
(論文)
14 期末考試
成績計算：課堂參與 10% 期中考試 30% 期末考試 30% 研究報告 30%