2016 Systems Theory and Operations Research

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Academic unit or major
Graduate major in Industrial Engineering and Economics
Iijima Junichi  Mizuno Shinji  Matsui Tomomi  Fukuda Emiko 
Course component(s)
Day/Period(Room No.)
Mon3-4(W931)  Thr3-4(W931)  
Course number
Academic year
Offered quarter
Syllabus updated
Lecture notes updated
Language used
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Course description and aims

In this course, we provide fundamental concepts and simulation method based on Systems Dynamics necessary to analyze behaviour of global-wide huge complicated systems related to environment and energy.

The objective is to let students learn skills of abstraction which is necessary to analyze Engineering Systems.

Student learning outcomes

Students will be able to have knowledge and skills of formulating problems and causality hidden behind, and skills of Modeling and Simulation based on Systems Dynamics that are necessary to analyze Engineering Systems.


Optimization problem, Combinatorial Optimization,Game Theory, Systems Dynamics,Causal Loop Diagram, Stock and Flow

Competencies that will be developed

Specialist skills Intercultural skills Communication skills Critical thinking skills Practical and/or problem-solving skills

Class flow

In Systems Dynamics part, team-based learning with four students is adopted for project, report generation and presentation.

Course schedule/Required learning

  Course schedule Required learning
Class 1 System, Model and Simulation
Class 2 Business Dynamics and Causal Loop Diagram
Class 3 Causal Loop Diagram
Class 4 Stock and Flow
Class 5 Simulation
Class 6 Group Activity
Class 7 Group Activity Preparation for Group Presentation
Class 8 Group Presentation
Class 9 Optimization
Class 10 Polyhedral Sets and Simplex Method
Class 11 Combinatorial Optimization
Class 12 Game Theory and OR Ⅰ 
Class 13 Game Theory and ORⅡ
Class 14 Game Theory and OR Ⅲ
Class 15 Game Theory and OR Ⅳ


Handout will be provided based on reference books.

Reference books, course materials, etc.

[1] John D. Sterman, Business Dynamics: Systems Thinking and Modeling for a Complex World, McGraw-Hill, 2000. 他
[2] D. Luenberger and Y. Ye, Linear and Nonlinear Programming, Springer; 3rd ed. 2008.
[3] 武藤滋夫,『ゲーム理論入門』,日本経済新聞社,2001
[4]坂井豊貴,『マーケットデザイン入門-オークションとマッチングの経済学-』, ミネルヴァ書房, 2010.
[5] 坂井豊貴、藤中裕二、若山琢磨,『メカニズムデザイン-資源配分制度の設計とインセンティブ』,ミネルヴァ書房,2008.

Assessment criteria and methods

Presence, Text and final examination will be counted.

Related courses

  • IEE.A203 : Mathematical Engineering
  • IEE.C201 : Introduction to Information Systems
  • IEE.B205 : Noncooperartive Game Theory
  • IEE.B302 : Cooperative Game Theory

Prerequisites (i.e., required knowledge, skills, courses, etc.)

It is better to take Mathematical Engineering, Introduction to Information Systems, Noncooperative Game Theory, Coopoerative Game Theory.

Contact information (e-mail and phone)    Notice : Please replace from "[at]" to "@"(half-width character).

ext. 3942


It is necessary to able to formulate problems and causality hidden behind, and to have skills of Modeling and Simulation based on Systems Dynamics to nalyze Engineering Systems that are wicked, ill-structured huge complicated systems..

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