シラバス情報

授業科目名
Project Seminar II (D)
(英語名)
Project Seminar II (D)
科目区分
専門教育科目
-
対象学生
国際商経学部
学年
学年指定なし
ナンバリングコード
KCCBG1MCA3
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
2026年度前期
(Spring semester)
担当教員
Nghiem Phu Binh
所属
国際商経学部
授業での使用言語
英語
関連するSDGs目標
目標11/目標12
オフィスアワー・場所

水曜日, 10:00-12:00, A-211

連絡先
binhnghiem@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
1◎/3◎/4◎
研究科DP
全学DP
教職課程の学修目標

講義目的・到達目標

【講義目的】

This seminar aims to enable students to:

- Learn proactive learning method (Project-Based Learning)

- Acquire knowledge of management through cooperative activities with local organizations and companies


【到達目標】

After the project, students are expected to be able to:

- Collaborate with other students as a group

- Gather and analyze the challenges or problems that companies or organizations are facing

- Present the results of group work activities

- Propose solutions for the challenges or problems
授業のサブタイトル・キーワード
キーワード: Business, society, marketing
講義内容・授業計画
【講義内容】
- Theoretical and field research
- Presentation, report, interview

【授業計画】
1. Orientation
2. Identify the challenges and problems
3. Group work or field study concerning the identified issues (1)
4. Group work or field study (2)
5. Group work or field study (3)
6. Group work or field study (4)
7. Group work or field study (5)
8. Mid-term presentation
9. Group work or field study concerning the identified issues (6)
10. Group work or field study (7)
11. Group work or field study (8)
12. Group work or field study (9)
13. Group work or field study (10)
14. Summary, interview
15. Final presentation, report
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; use beyond this scope is prohibited: summarizing lecture materials, drafting assignments/reports, translation, and proofreading documents.

Students must follow the instructor's instructions 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 to check/add sources and references for any AI-generated content. Submitting AI-generated output directly as assignments or reports is strictly prohibited.
教科書
Not applicable
参考文献
Suggestion and/or delivery when necessary
事前・事後学習(予習・復習)の内容・時間の目安

【予習】Follow daily news (15 hours)

【復習】Presentation, report, interview (5 hours)
アクティブ・ラーニングの内容
This class is fully project-based.
成績評価の基準・方法

Students who demonstrate understanding of the assigned tasks and successfully meet the requirements (punctuality, attendance, participation in class activities, and contributions to class activities) will receive grades based on their level of proficiency in achieving the course objectives and learning outcomes.

Grades will be assigned as follows: S (90 points or higher), A (80 points or higher), B (70 points or higher), and C (60 points or higher). Evaluation will be based on the assessment of individual task outcomes relative to classmates' outcomes.

課題・試験結果の開示方法
In class or via Universal Passport (text, audio, or video)
履修上の注意・履修要件
Not applicable
実践的教育
Not applicable
備考
The contents and order of the lectures may change considering the actual situations.
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。