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教員名 : Shah Sardar Ahmed
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授業科目名
Global Asia
(英語名)
Global Asia
科目区分
専門教育科目
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対象学生
国際商経学部
学年
2年
ナンバリングコード
KCCBG2MCA7
単位数
2.00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
講義・演習 (Lecture/Seminar)
開講時期
2026年度後期
(Fall semester)
担当教員
Shah Sardar Ahmed
所属
School of Economics and Management
授業での使用言語
英語
関連するSDGs目標
目標17
オフィスアワー・場所
Before or after the class, in the classroom.
Meeting can be scheduled by appointment via email as well. 連絡先
shah_sardar_ahmed@em.u-hyogo.ac.jp
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
2〇/3〇/4〇
研究科DP
ー
全学DP
ー
教職課程の学修目標
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講義目的・到達目標
【Purpose】
The purpose of this course is to understand the economic background and modern trends of globalization in Asia, as well as the important developments and challenges that globalization in the region is currently facing. 【Objective】 The aim of this course is to acquire a sound understanding of the economic background, current situation and trends towards globalization in modern Asia from an international perspective, as well as to gain the analytical skills required to comprehensively and contextually understand current economic issues in Asian countries. 授業のサブタイトル・キーワード
Economic History of Asia, Globalization and Asia, Future of Asia
講義内容・授業計画
【Course Overview】
This course provides students with a focused understanding of selected topics in Asian economic history and the region’s trends towards globalization. 【Class Schedule】 1. Course Introduction
9. Labor Migration in Asia: Comparison with the West
15. Final Presentations/ Wrap-Up * Class schedule/contents may be changed or adjusted. 対面・遠隔の別
対面
実施方法及び遠隔上限適用対象の別
• In-person classes only
• Not subject to the cap on distance-education credits 生成AIの利用
利用する場面を限定し許可
生成AI注意点
When using generative AI, please pay attention to the contents described in “Guidelines on the Use of Generative AI in Education at the University of Hyogo (For Students)”.
In this course, the use of generative AI is permitted only within the following scope, and use beyond this scope is prohibited. Students must follow the instructions of the instructor regarding the use of generative AI. If it is found that generative AI has been used beyond the scope approved by the instructor, credits may not be granted or may be revoked. It is important to verify factual accuracy and check/add sources and references for any content generated by AI. Submitting AI-generated output directly as assignments or reports (such as Group Reports etc.) is strictly prohibited. Permitted Scope: In this course, Generative AI is not permitted except when using it for translation or language interpretation in order to increase understanding of lecture contents or for brainstorming ideas and topics for group discussion or presentations. 教科書
Textbook is not necessary. All reading materials such as articles will be provided in advance or in class.
You are required to read the selected materials before its assigned session to participate actively in class discussions. 参考文献
Supplementary Text: The Asian Economy: Contemporary Issues and Challenges. edited by Kenta Goto, Tamaki Endo, and Asei Ito. Routledge, 2021
事前・事後学習(予習・復習)の内容・時間の目安
Preparation: 2 hours before every lesson
Review: 2 hours after every lesson アクティブ・ラーニングの内容
Class Group Discussions, Q/A After Presentations, Class Contribution About Latest News/Trends.
成績評価の基準・方法
【Grading Policy】
【Grading Criteria】 S (90%~) Excellent (Active participation/contribution in class discussions, well prepared and excellent midterm and final presentations, and well compiled group report) A (80%~) Good (Good class participation, good midterm and final presentations and good group report) B (70%~) Fair C (60%~) Poor performance but a passing grade Below 60% is a failing grade. 課題・試験結果の開示方法
The presentation slides should be submitted in PDF/PPT format through the Universal Passport or through email.
The group report should be submitted in PDF format through the Universal Passport or through email. 履修上の注意・履修要件
実践的教育
Not Applicable
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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