シラバス
| 授業科目名 | 年度 | 学期 | 開講曜日・時限 | 学部・研究科など | 担当教員 | 教員カナ氏名 | 配当年次 | 単位数 |
|---|---|---|---|---|---|---|---|---|
| 専門演習Ⅲ | 2025 | 秋学期 | 火4 | 国際経営学部 | ヴ マン ティエン |
ヴ マン ティエン |
3年次配当 | 2 |
科目ナンバー
GM-OM3-SI03
履修条件・関連科目等
Students must have passed both Seminar I and II. Students should have their data for analyses before the course begin.
授業で使用する言語
英語
授業で使用する言語（その他の言語）
授業の概要
Based on the research questions and obtained data, students will do their analyses and estimations with the data to test their hypotheses.
科目目的
Students are expected to present their preliminary results and data analyses by the end of the semester.
到達目標
Students should be able to fulfill the core parts of data analyses or complete the research project report (2000 words) (applicable only for students ID containing 23F, 24F and younger cohort who have already notified the advisor in the beginning of Seminar II) by the end of the course.
授業計画と内容
Course content & schedule (subject to change):
1. Introduction. Show me your data for your graduation thesis (project).
2. Data management (1): Managing your files and setting your project’s material. How to use AI appropriately.
3. Data management (2): R studio: Markdown. Import data and data visualization. Subset data frame.
4. Data management (3): Handle the variables, outliers, duplication, and missing information.
5. Students’ presentation (1): Research progress report. Data management (4): Data structure, merge/append the data.
6. Students’ presentation (2): Research progress report. Data management (5): Practice 1.
7. Data management (6): Practice 2. Hypothesis testing and confidence intervals.
8. Students’ presentation (3): Research progress report. Panel data and panel fixed effects. Data management (7): Practice 3.
9. Students’ presentation (4): Research progress report. Data management (8): Practice 4.
10. Students’ presentation (5): Research progress report. How to improve your hypothesis.
11. Students’ presentation (6): Research progress report.
12. Students’ presentation (7): Research progress report.
13. Students’ presentation (8): Research progress report.
14. Students’ presentation (9): Research progress report.
授業時間外の学修の内容
指定したテキストやレジュメを事前に読み込むこと／その他
授業時間外の学修の内容（その他の内容等）
R studio.
授業時間外の学修に必要な時間数／週
・毎週１回の授業が半期（前期または後期）または通年で完結するもの。１週間あたり４時間の学修を基本とします。
・毎週２回の授業が半期（前期または後期）で完結するもの。１週間あたり８時間の学修を基本とします。
成績評価の方法・基準
| 種別 | 割合（％） | 評価基準 |
|---|---|---|
| 平常点 | 100 | How students understand and apply the knowledge into the practice via students' presentations. However, students who will not continue for Seminar IV and V (eligible for student ID starting with 23F and younger cohort) have to fulfill a research project report of 2000 words in English by the end of the semester. The report structure is similar to a short academic paper. |
成績評価の方法・基準（備考）
課題や試験のフィードバック方法
授業時間内で講評・解説の時間を設ける
課題や試験のフィードバック方法（その他の内容等）
アクティブ・ラーニングの実施内容
ディスカッション、ディベート／プレゼンテーション
アクティブ・ラーニングの実施内容（その他の内容等）
授業におけるICTの活用方法
実施しない
授業におけるICTの活用方法（その他の内容等）
実務経験のある教員による授業
いいえ
【実務経験有の場合】実務経験の内容
【実務経験有の場合】実務経験に関連する授業内容
テキスト・参考文献等
Textbooks
1. Booth, Wayne C., et al. (2024). The Craft of Research, Fifth Edition, University of Chicago Press. ProQuest Ebook Central, https://www.proquest.com/legacydocview/EBC/31597372?accountid=26790
2. Frorian Heiss. (2020). Using R for Introductory Econometrics, Second Edition. http://www.urfie.net (free access)
3. American Psychological Association. (2020). Publication Manual of the American Psychological Association, Seventh Edition.
Reference books
1. Elena Llaudet and Kosuke Imai. (2023). Data analysis for social science : a friendly and practical introduction. Princeton University Press. https://ufinity.library.chuo-u.ac.jp/iwjs0002opc/BB01676196 .
社会情報研究室 社会情報 請求記号300.1/L79
2. Jonathan Schwabish. (2017). Better Presentations: A guide for scholars, researchers, and wonks. Columbia University Press: New York. ProQuest Ebook Central, https://ebookcentral.proquest.com/lib/chuouniv-ebooks/detail.action?docID=4723060&query=Better%20Presentations:%20A%20guide%20for%20scholars,%20researchers,%20and%20wonks
3. William Strunk Jr. The Elements of Style.
その他特記事項
Class attendance is mandatory, and absences without valid reasons are strongly discouraged. The seminars build on prior knowledge and cumulative learning. Without a solid foundation of basic concepts and consistent engagement, it can be extremely challenging to keep up with the course material and to conduct the graduation thesis.
Also, all materials provided and introduced will be applied into your graduation thesis. Without sufficient attention during the class including other student presentations' content and of course, class attendance, students will not be able to apply into their graduation thesis and graduate in time. If students have to miss the class, students must keep up with the missing content.
(Self) Learning to use statistical software effectively is a crucial part of the process.
Presentations, lectures, discussions, and the graduation thesis (research project) are conducted entirely in English. The use of quantitative methods and microdata is strongly encouraged to address the research questions.
It is important to regularly check your university email and Manaba for important notices and announcements. Communication is a key measure to resolve any arising problems. When writing email, ensure that your email includes a clear and meaningful subject line, your full name, student ID, and a mention that you are referring to this class. Most importantly, write concisely and clearly explain the purpose of your communication. It is advisable to proofread your email in English before sending it.
参考URL
Seminar's page
https://sites.google.com/g.chuo-u.ac.jp/tienmanhvu/
Instructor's site
https://sites.google.com/view/tienmanhvu/