| 授業名 | Data Visualization |
|---|---|
| Course Title | Data Visualization |
| 担当教員 Instructor Name | Minjeong Ham |
| コード Couse Code | NUC420_N25B |
| 授業形態 Class Type | 講義 Regular course |
| 授業形式 Class Format | On Campus |
| 単位 Credits | 2 |
| 言語 Language | EN |
| 科目区分 Course Category | 専門教育科目 / Specialized Subject |
| 学位 Degree | BBA |
| 開講情報 Terms / Location | 2025 UG Nisshin Term4 |
授業の概要 Course Overview
Mission Statementとの関係性 / Connection to our Mission Statement
This course aligns with NUCB’s mission to cultivate globally-minded, ethical business leaders by equipping students with data visualization skills to derive insights for informed decision-making.
授業の目的（意義） / Importance of this course
In the modern business environment, the ability to effectively visualize data is essential for understanding complex information, communicating insights, and guiding strategic managerial decisions.
到達目標 / Achievement Goal
Students will be able to design, create, and interpret visual representations of data using industry-standard tools to support managerial decision-making.
Students will develop an understanding of how data visualization techniques apply to managerial perspectives.
Students will develop an understanding of how data visualization techniques apply to managerial perspectives.
本授業の該当ラーニングゴール Learning Goals
*本学の教育ミッションを具現化する形で設定されています。
LG1 Critical Thinking
LG2 Diversity Awareness
LG3 Ethical Decision Making
LG4 Effective Communication
LG5 Business Perspectives (BSc)
LG6 Managerial Perspectives (BBA)
LG7 International Perspectives (BA)
LG2 Diversity Awareness
LG3 Ethical Decision Making
LG4 Effective Communication
LG5 Business Perspectives (BSc)
LG6 Managerial Perspectives (BBA)
LG7 International Perspectives (BA)
受講後得られる具体的スキルや知識 Learning Outcomes
Apply principles of graphical perception and design to develop clear and impactful visualizations.
Use software tools to create interactive charts and dashboards.
Critically evaluate visualizations for accuracy, clarity, inclusivity, and bias.
Integrate visualizations into business reports and presentations to inform managerial decisions.
Use software tools to create interactive charts and dashboards.
Critically evaluate visualizations for accuracy, clarity, inclusivity, and bias.
Integrate visualizations into business reports and presentations to inform managerial decisions.
SDGsとの関連性 Relevance to Sustainable Development Goals
Goal 4 質の高い教育をみんなに（Quality Education）
教育手法 Teaching Method
| 教育手法 Teaching Method | % of Course Time | |
|---|---|---|
| インプット型 Traditional | 20 % | |
| 参加者中心型 Participant-Centered Learning | ケースメソッド Case Method | 80 % |
| フィールドメソッド Field Method | 0 % | 合計 Total | 100 % |
事前学修と事後学修の内容、レポート、課題に対するフィードバック方法 Pre- and Post-Course Learning, Report, Feedback methods
授業スケジュール Course Schedule
第1日（Day1）
Case 1●使用するケース
Good Charts: The HBR Guide to Making Smarter, More Persuasive Data Visualizations (1)第2日（Day2）
Case 2●使用するケース
Good Charts: The HBR Guide to Making Smarter, More Persuasive Data Visualizations (2)第3日（Day3）
Case 3●使用するケース
Market Street Wine: Extending the AisleTo Plot or Not to Plot: An Exercise on Understanding and Comparing Datasets
第4日（Day4）
Case 4●使用するケース
Flying Around Real Estate Development: Persuading with Data Visualizations第5日（Day5）
Case 5●使用するケース
Saving Lives with Data Visualizations (A): Charts in the Time of CholeraSaving Lives with Data Visualizations (B): Charts in the Time of Cholera
第6日（Day6）
Case 6●使用するケース
Using Data Visualisation to Find F&B Opportunities during a Pandemic第7日（Day7）
Case 7●使用するケース
Using Data Analytics and Visualization in Accounting and Auditing at Toby Biotech Inc.成績評価方法 Evaluation Criteria
*成績は下記該当項目を基に決定されます。
*クラス貢献度合計はコールドコールと授業内での挙手発言の合算値です。
*クラス貢献度合計はコールドコールと授業内での挙手発言の合算値です。
| 講師用内規準拠 Method of Assessment | Weights |
|---|---|
| コールドコール Cold Call | 0 % |
| 授業内での挙手発言 Class Contribution | 70 % |
| クラス貢献度合計 Class Contribution Total | 70 % |
| 予習レポート Preparation Report | 0 % |
| 小テスト Quizzes / Tests | 0 % |
| シミュレーション成績 Simulation | 0 % |
| ケース試験 Case Exam | 0 % |
| 最終レポート Final Report | 30 % |
| 期末試験 Final Exam | 0 % |
| 参加者による相互評価 Peer Assessment | 0 % |
| 合計 Total | 100 % |
評価の留意事項 Notes on Evaluation Criteria
教科書 Textbook
- 「 」 （）
参考文献・資料 Additional Readings and Resource
授業調査に対するコメント Comment on Course Evaluation
担当教員のプロフィール About the Instructor
Minjeong Ham is an Assistant Professor at NUCB. She received her Ph.D. in Information Systems from Yonsei University, Seoul, South Korea. She was a postdoctoral fellow at Korea University before joining NUCB. Her research interests include Information Systems adoption and usage in digital business, especially in the creative industry. A significant aspect of her research centers on privacy concerns in personalized advertising, examining the delicate balance between user data protection and effective ad targeting.
Refereed Articles
- (2025) Personal data strategies in digital advertising: Can first-party data outshine third-party data?. International Journal of Information Management 80 0268-4012
- (2024) How does OTT social viewing relieve pandemic-related depressive symptoms? Investigating the moderated mediation model of social connectedness and network types. The Communication Review 10714421
- (2023) Personalization, Privacy and Algorithms in Online Advertising. Yonsei University
- (2021) The effects of internet proliferation on search engine and over-the-top service markets. Telecommunications Policy 45(8): 03085961
- (2021) Empirical study on video clip consumption: focusing on viewing habits and use motives. International Journal of Mobile Communications 19(2): 1741-5217