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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.
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1.Course introduction, basics of simulation analysis
2.Academic paper writing methods, discussion assignment 1
3.Paper review processes, paper review assignment
4.Paper discussion 1: application of simulation to business analysis
5.Simulation modeling method 1
6.Exercise: presentation of review assignment, paper reading assignment
7.Design of experiments: verification of simulation outputs
8.Simulation modeling method 2, research idea assignment
9.Paper discussion 2: simulation application to production research
10.Exercise: presentation of the assigned paper 1
11.Exercise: presentation of the assigned paper 2
12.Simulation modeling method 3
13.Simulation modeling method 4
14.Student presentations of simulation research ideas 1
15.Student presentations of simulation research ideas 2
16.TBA
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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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Paper review 20%, Reading assignment 20%, Research plan development 30%, Quiz 10%, 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. |
| シミュレーション研究構想力 | 既存の研究業績を深く正しく理解し、その研究の質を適切に評価できる研究構想力を発展的に実践できる。 | 既存の研究業績を深く正しく理解し、その研究の質を適切に評価できる研究構想力を実践できる。 | 既存の経営学論文の概要をただ良く理解し、研究を構想できる。 | 既存の経営学論文の概要を読み違えることなく理解できる。 | 到達目標に達していない |
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This course mixes 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.
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This course uses the required textbook when teaching research methods.
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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.
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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.
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