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This course for doctoral program students aims abilities in research question setting, mode formulation, and model analysis. In addition, this course aims to foster the ability of conducting quantitative and empirical research using a simulation approach. This course also covers the mechanics of academic writing and paper publication, such as organizing research papers and understanding the paper review process. Almost all the materials are English materials. Since many international students register this course, we offer this course as the real-time online course using Zoom. The schedule is subject to change.
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1. Class Introduction and Simulation Basic
2. How to Write a Good Paper （Releasing Homework 1）
3. How to Critically Read Papers （Releasing Homework 2）
4. How to Critically Read Papers （Releasing Homework 3）
5. Paper Discussions 1 (Releasing Homework 4)
6. Reviewing Academic Papers (Releasing Homework 5)
7. Critical Evaluation of Presentation Materials 1
8. Critical Evaluation of Presentation Materials 2
9. Paper Discussions 2 (Releasing Homework 6)
10. Paper Discussions 3 (Releasing Homework 7)
11. Paper Discussions 4
12. Mult-Agent Simulation (MAS) (Releasing a Final Report)
13. Business Game
14. Research Ideas about Simulation Application 1
15. Research Ideas about Simulation Application 2
(16. Final Report Submission during the exam week）
Note: Schedule is subject to change.
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Read the assigned reading materials before each class. The materials are downloadable via the YNU education assistance system. Since the class offers various assignments, such as paper reviews, paper presentations, and research idea presentations, the class contents should be carefully reviewed after each class. In particular, students should make a real effort to develop a research idea using a computer simulation method.
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・To master the knowledge of the methods used to skillfully conduct a quantitative and simulation study, including the setting of a suitable research theme, the formulation of a model, and the analysis of the model.
・To fully understand mathematical and quantitative research approaches using simulation
・To develop the ability to adequately understand the contents of the academic studies of other researchers and to conduct proper evaluation of the quality of the extant research.
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・To understand the basic research processes, such as research question formulation, model building, model analysis, and discussion of results.
・To understand the fundamental knowledge of mathematical and empirical modeling techniques using simulation.
・To understand the essential contents of academic research papers and evaluate their quality.
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Final report 20%, Reading and presentation assignments 30%, Research plan development 30%, and Discussions and class participation 20%.
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【成績評価の基準表】
| 秀(S) | 優(A) | 良(B) | 可(C) | 不可(F) |
| 履修目標を越えたレベルを達成している | 履修目標を達成している | 履修目標と到達目標の間にあるレベルを達成している | 到達目標を達成している | 到達目標を達成できていない |
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履修目標：授業で扱う内容（授業のねらい）を示す目標
到達目標：授業において最低限学生が身につける内容を示す目標
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【授業別ルーブリック】
| 評価項目 | 評価基準 |
| 期待している以上である | 十分に満足できる(履修目標) | やや努力を要する | 努力を要する(到達目標) | 相当の努力を要する |
| Understanding of simulation methods | To substantially master the knowledge of the methods used to skillfully conduct a quantitative and simulation study, including the setting of a suitable research theme, the formulation of a model, and the analysis of the model. | To master the knowledge of the methods used to skillfully conduct a quantitative and simulation study, including the setting of a suitable research theme, the formulation of a model, and the analysis of the model. | To deeply understand the basic research processes, such as research question formulation, model building, model analysis, and discussion of results. | To understand the basic research processes, such as research question formulation, model building, model analysis, and discussion of results. | Less than the expected minimum level. |
| Ability of evaluating simulation research | To substantially understand mathematical and quantitative research approaches using simulation | To fully understand mathematical and quantitative research approaches using simulation | To fully understand the fundamental knowledge of mathematical and empirical modeling techniques using simulation. | To understand the fundamental knowledge of mathematical and empirical modeling techniques using simulation. | Less than the expected minimum level. |
| Development of simulation research | Outstanding ability of development of simulation research planning and operations | Excellent ability of development of simulation research planning and operations | Sufficient ability of development of simulation research planning and operations | Minimum level of ability of development of simulation research planning and operations | Less than the expected minimum level. |
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This course is composed of lectures, discussions, exercises, and presentations enabling the students to master the ability to undertake research using a simulation method. The seminar-type classes offer a variety of assignments to the students. Students are highly expected to actively participate in all the activities. Teaching language is basically English.
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The list of the references will be distributed during the class. The academic papers for reading can be downloadable from the data base system of the university library.
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・Having the credits for the introductory courses on management, mathematics, and statistics.
・Having the knowledge and experience of basic level computer programming (e.g., solution of simultaneous equations, generation of random numbers) using Java and/or Python.
・Having an interest in quantitative management research.
・This course is closely related to other graduate courses covering quantitative methods.
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コンピュータシミュレーション(Computer simulation), 数理モデル構築(Mathematical model building), 計量分析(Quantitative analysis), 経営研究計画(Business research design), 論文査読(Paper review).
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This course focuses on the development of research skills, in particular the skills of writing an academic paper that will be accepted by an academic journal. In 2021, this course will be offered by real-time online teaching using Zoom. The schedule is subject to change. I expect students to actively participate in all the course work by assuming you are a junior researcher.
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