| 授業名 | Data Visualization |
|---|---|
| Course Title | Data Visualization |
| 担当教員 Instructor Name | Louie Wong |
| コード Couse Code | NUC424_N21B |
| 授業形態 Class Type | 講義 Regular course |
| 授業形式 Class Format | Live Virtual |
| 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 | 2021 UG Nisshin Term4 |
授業の概要 Course Overview
Misson Statementとの関係性 / Connection to our Mission Statement
This course aligns with NUCB's mission of educating innovative and ethical leaders with "Frontier Spirits" by facilitating students to understand the core concepts of data visualization and gain insights from practices in regional and global business contexts.
授業の目的（意義） / Importance of this course
Data visualization is the presentation of data in pictorial or graphical form. In today’s data-driven business world, data visualization is an essential skill required for managers. Good data visualization can communicate ideas effectively, help people to make sense of big data, and enable data-driven decisions. This course aims to introduce the basics of data visualization and enable students to turn messy data and boring information into smart and effective visualizations that powerfully convey ideas. Students will learn from case studies in various business contexts with hands-on practice using various data visualization tools.
到達目標 / Achievement Goal
By studying this course, students will get familiarize with the fundamental concepts of data visualization and be able to apply these concepts in real-world business situations.
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
LG2 Diversity Awareness
LG3 Ethical Decision Making
LG4 Effective Communication
受講後得られる具体的スキルや知識 Learning Outcomes
Upon successful completion of the course, students should be able to
1. Understand the fundamental concepts of data visualization.
2. Appreciate various data visualization designs, tools and techniques.
3. Critically evaluate the effectiveness and persuasiveness of various data visualizations.
4. Design and use persuasive data visualizations for effective communication.
1. Understand the fundamental concepts of data visualization.
2. Appreciate various data visualization designs, tools and techniques.
3. Critically evaluate the effectiveness and persuasiveness of various data visualizations.
4. Design and use persuasive data visualizations for effective communication.
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 | 30 % |
| フィールドメソッド Field Method | 50 % | 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
The course contents will include lecture, class presentations, case studies/hands-on practices and other discussion materials provided beforehand or brought into the class by the instructor. The format of this course will follow lectures, discussions, in-class exercises and hands-on practices with an emphasis on design, evaluation and application of data visualizations in various organizational contexts.
A computer with internet connection is required for in-class exercises and hands-on practices during the class.
Readings (lecture materials, relevant articles or cases) are provided beforehand and assigned for each class. Students are required to prepare for at least 2-3 hours per class in this course. The emphasis will be on student responsibility for learning through active participation in various in-class activities.
Constructive feedback will be given to students for their in-class activities as and when appropriate.
A computer with internet connection is required for in-class exercises and hands-on practices during the class.
Readings (lecture materials, relevant articles or cases) are provided beforehand and assigned for each class. Students are required to prepare for at least 2-3 hours per class in this course. The emphasis will be on student responsibility for learning through active participation in various in-class activities.
Constructive feedback will be given to students for their in-class activities as and when appropriate.
授業スケジュール Course Schedule
第1日（Day1）
Theme: Introduction to Data Visualization●使用するケース
Good Charts: The HBR Guide to Making Smarter, More Persuasive Data Visualizations (HBS) *第2日（Day2）
Theme: Visualization Design and Tools●使用するケース
Good Charts: The HBR Guide to Making Smarter, More Persuasive Data Visualizations (HBS) *第3日（Day3）
Theme: Understanding and Exploring Data●使用するケース
Iuiga’s Challenge: Is Omni-Channel Worth It (HBS) *第4日（Day4）
Theme: Infographics●使用するケース
Data Visualization Case Scenario I (Original Case) *第5日（Day5）
Theme: Dashboard●使用するケース
Data Visualization Case Scenario II (Original Case) *第6日（Day6）
Theme: Storytelling with Data●使用するケース
Data Visualization Case Scenario III (Original Case) *第7日（Day7）
Theme: Project Presentations●使用するケース
Good Charts: The HBR Guide to Making Smarter, More Persuasive Data Visualizations (HBS) *===========================
*: Case selection is not final and may vary.
===========================
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。
Final Report = Project Presentation
• Active participation is required and expected.
• Further information about the case assignments and final report will be given on Google Classroom.
• Selected case assignments must be submitted before case discussions as per given deadlines.
*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 | 50 % |
| クラス貢献度合計 Class Contribution Total | 50 % |
| 予習レポート Preparation Report | 0 % |
| 小テスト Quizzes / Tests | 30 % |
| 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 | 20 % |
| 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
Quizzes / Tests = In-class exercises and hand-on practicesFinal Report = Project Presentation
• Active participation is required and expected.
• Further information about the case assignments and final report will be given on Google Classroom.
• Selected case assignments must be submitted before case discussions as per given deadlines.
教科書 Textbook
- -「No Textbook」-（-）
参考文献・資料 Additional Readings and Resource
Scott Berinato (2016). Good Charts: The HBR Guide to Making Smarter, More Persuasive Data Visualizations. Harvard Business Review Press.
Kristen Sosulski. (2019). Data Visualization Made Simple: Insights into Becoming Visual. Routledge.
Scott Berinato (2016). Visualizations That Really Work. Harvard Business Review.
Nussbaumer Knaflic (2015). Storytelling with Data. Wiley.
Additional relevant readings will be provided as and when appropriate.
Kristen Sosulski. (2019). Data Visualization Made Simple: Insights into Becoming Visual. Routledge.
Scott Berinato (2016). Visualizations That Really Work. Harvard Business Review.
Nussbaumer Knaflic (2015). Storytelling with Data. Wiley.
Additional relevant readings will be provided as and when appropriate.
授業調査に対するコメント Comment on Course Evaluation
n/a
担当教員のプロフィール About the Instructor
Louie Wong is a Professor at NUCB Business School, Graduate School of Management. He is an active researcher and educator with extensive teaching, research, and industry experience. Louie received his Ph.D. degree in Information Systems from City University of Hong Kong. He also holds an MBA degree, a Bachelor and a Master of Science degrees in Computer Science. Before joining NUCB Business School, Louie was a Visiting Fellow at City University of Hong Kong. In the last 15 years, Louie has designed and taught various undergraduate and graduate business courses in Hong Kong and Japan.
Louie's research interests include management information systems, digital transformation, blockchain, social media, knowledge management, supply chain management, information security, and action research. He currently serves as an Associate Editor for Information Systems Journal. His research has been published in prominent international peer-reviewed journals and proceedings of conferences.
（実務経験 Work experience）
Besides, Louie is also a seasoned business executive with decades of industry experience in the Asia Pacific region. Prior to his academic career, Louie served in various senior management positions at leading multinational companies such as Digital Equipment Corporation (DEC), Compaq, Check Point Technologies, and Citrix. His last industry position was the Chief Marketing Officer of a listed company in the new media industry.
Refereed Articles
- (2023) Instant messaging, interruptions, stress and work performance. Information Technology & People 0959-3845
- (2023) The art of digital transformation as crafted by a chief digital officer. International Journal of Information Management 69(102617): 0268-4012
- (2022) Information Systems as a Nexus of IT Systems: A New View of Information Systems Practice. Journal of Information Technology 37(4): 0268-3962
- (2022) Working around inadequate information systems in the workplace: An empirical study in Romania. International Journal of Information Management 64(102471): 0268-4012
- (2021) The coordination of workarounds: Insights from responses to misfits between local realities and a mandated global enterprise system. Information & Management 58(103530): 0378-7206
Refereed Proceedings
- (2023). Spearheading Digital Transformation: The Role of the Chief Digital Officer. PACIS 2023 Proceedings .Pacific Asia Conference on Information Systems (PACIS) 2023. 1. 3. Nanchang, China
- (2023). Developing Guanxi Through Social Media: User Archetypes and Influencing Factors. ECIS 2023 Research-in-Progress Papers .The 31st European Conference on Information Systems (ECIS), Kristiansand, Norway. 1. 3. Kristiansand, Norway
- (2023). The Impact of Social Media on Digital Guanxi Development in the Chinese Workplace. Proceedings of the 56th Hawaii International Conference on System Sciences .The Impact of Social Media on Digital Guanxi Development in the Chinese Workplace. 1. 3. Maui, Hawaii, USA
- (2020). Beneficial Non-Compliance with Inadequate Information Systems. International Conference on Information Systems (ICIS) 2020 Proceedings .International Conference on Information Systems (ICIS) 2020. 1. 3. India
- (2019). Adopted Globally but Unusable Locally: What Workarounds Reveal about Adoption, Resistance, Compliance and Non-Compliance. Proceedings of the 27th European Conference on Information Systems (ECIS) .27th European Conference on Information Systems (ECIS 2019). 1. 3. Stockholm, Sweden