シラバス情報
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教員名 ： Nghiem Phu Binh
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授業科目名
Marketing
(英語名)
Marketing
科目区分
ー
Core Specialized Courses
対象学生
社会科学研究科
学年
学年指定なし
ﾅﾝﾊﾞﾘﾝｸﾞｺｰﾄﾞ
KCWMS5MCA1
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
講義 (Lecture)
開講時期
2026年度前期
(Spring semester)
担当教員
Nghiem Phu Binh
所属
Graduate School of Social Sciences
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
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研究科DP
1◎／4〇／5〇
全学DP
ー
教職課程の学修目標
ー
講義目的・到達目標
【講義目的】 This class aims to give students intermediate knowledge of marketing concepts and processes.【到達目標】 At the end of the class, students are expected to be able to: - Understand the concepts of market, marketing, and marketing environments- Understand the forces participating in the marketplace, their similarities and differences - Understand marketing research and its importance - Use this understanding for product and service design 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】
This class is case/project-based. After familiarizing themselves with the concepts, students will participate in designing, solving, and implementing the cases or projects. 【授業計画】 1. Market(place), marketing, positioning 2. Marketing environment 3. Project 1 - Brand and image (1) 4. Project 1 (2) 5. Project 1 (3) 6. Project 2 - Consumer market and segmentation (1) 7. Project 2 (2) 8. Project 2 (3) 9. Project 3 - Marketing mix (1) 10. Project 3 (2) 11. Project 3 (3) 12. Summary, interview 13. Project 4 – Product and service design (1) 14. Project 4 (2) 15. Project 4 (3) 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
Suggestion and/or delivery when necessary
参考文献
1. Philip Kotler; Kevin Lane Keller; Alexander Chernev (2026) Marketing Management. Pearson Education.
2. Paul Baines (2025) Fundamentals of Marketing. Oxford University Press. 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 and contributions to class activities) will receive grades based on their level of proficiency in achieving the course objectives and learning 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
Active participation
Enter after 10:45 = No Attendance Maximum missing classes = 5 (consult with the professor about make-up assignments if necessary) 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。
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