![]() 教員名 : 坪井 美都紀
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授業科目名
Thesis Seminar II
(英語名)
Thesis Seminar II
科目区分
専門教育科目
-
対象学生
国際商経学部
学年
4年
ナンバリングコード
KCCBG4MCA3
単位数
2単位
ナンバリングコードは授業科目を管理する部局、学科、教養専門の別を表します。詳細は右上の?から別途マニュアルをダウンロードしてご確認ください。
授業の形態
演習 (Seminar)
開講時期
2025年度後期
(Fall semester)
担当教員
坪井 美都紀
所属
School of Economics and Management
授業での使用言語
英語
関連するSDGs目標
該当なし
オフィスアワー・場所
By appointment.
連絡先
対応するディプロマ・ポリシー(DP)・教職課程の学修目標
二重丸は最も関連するDP番号を、丸は関連するDPを示します。
学部DP
1◎/3〇/4〇
研究科DP
ー
全学DP
ー
教職課程の学修目標
ー
講義目的・到達目標
【Course Objectives】
This seminar helps you further develop your academic writing and presentation skills, guiding you toward completing your final research project and graduation exam. 【Learning Outcome】 By the end of the course, you should be able to (i) write an academic paper with a clear and logical structure, (ii) present your research with a coherent flow and data-driven support, and (iii) complete your final research report and presentation. 授業のサブタイトル・キーワード
【Subtitle】Toward the Graduation Exam
【Keywords】Research; Academic Writing; Presentation Skills 講義内容・授業計画
Building on the work completed during the spring semester and summer break, this course focuses on refining your research paper and presentation for the graduation exam.
Lecture 1 - Introduction Lecture 2 - Reviewing a Research Question I Lecture 3 - Reviewing a Research Question II Lecture 4 - Reviewing a Research Question III Lecture 5 - Statistical Estimation I Lecture 6 - Statistical Estimation II Lecture 7 - Statistical Estimation III Lecture 8 - Restructuring Your Research Project I Lecture 9 - Restructuring Your Research Project II Lecture 10 - Demo Presentation I Lecture 11 - Demo Presentation II Lecture 12 - Demo Presentation III Lecture 13 - Final Presentation I Lecture 14 - Final Presentation II Lecture 15 - Final Presentation III 教科書
Stock, J., Watson, M., 2019. Introduction to Econometrics. 4th edn. Pearson.
参考文献
Gujarati, D.N., 2023. Essentials of Econometrics. 5th edn. SAGE Publications.
事前・事後学習(予習・復習)の内容・時間の目安
Pre-learning entails collecting data and preparing presentation slides (10 hours per week). Post-learning involves refining slides and improving the research project (5 hours per week).
アクティブ・ラーニングの内容
You will develop your academic skills through presentations, peer feedback, and instructor guidance.
成績評価の基準・方法
Grades are determined as follows: 30% based on your engagement in class activities and 70% based on the quality of your research.
You will basically be graded on a four-rank scale: S rank (above 90 points) is awarded to a small fraction of students who perform well above the average level, A rank (above 80 points) will be the most common score and indicates successful completion of the course, B rank (above 70 points) indicates satisfactory performance but with areas for improvement, and C rank (above 60) signals insufficient effort in your research. AI Use: You are allowed to use AI tools such as ChatGPT. These tools will be useful in your future studies and careers, and it is important to learn how to use them wisely; for example, I extensively use these tools in my research to improve my writing and to assist with programming. At the same time, be aware that using AI tools as a crutch can hinder your own learning. You are making a significant financial and opportunity cost investment in your education. Keep in your mind that what matters is not grades but learning – an S rank without real understanding is meaningless. Bottom line: Use AI tools to support your work, but never let them do your work. 課題・試験結果の開示方法
During the seminar, I will provide feedback on your presentations, including suggestions for improvement.
履修上の注意・履修要件
As the seminar has a small number of students, trust and mutual respect are essential. A lack of trust can undermine the entire experience. I strongly encourage an open and collaborative environment where you all can learn and grow together.
実践的教育
N/A
備考
英語版と日本語版との間に内容の相違が生じた場合は、日本語版を優先するものとします。
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