| 学部・研究科Faculty/Graduate school | GISDepartment of Global and Interdisciplinary Studies |
| 添付ファイル名Attached documents | |
| 年度Year | 2023 |
| 授業コードClass code | A6232 |
| 旧授業コードPrevious Class code | |
| 旧科目名Previous Class title | |
| 開講時期Term | 春学期授業/Spring |
| 曜日・時限Day/Period | 火2/Tue.2 |
| 科目種別Class Type | |
| キャンパスCampus | 市ヶ谷 / Ichigaya |
| 教室名称Classroom name | 市外濠‐S602 |
| 配当年次Grade | 2～4 |
| 単位数Credit(s) | 2 |
| 備考（履修条件等）Notes | |
| 他学部公開科目Open Program | |
| 他学部公開（履修条件等）Open Program (Notes) | |
| グローバル・オープン科目Global Open Program | |
| 成績優秀者の他学部科目履修制度対象Interdepartmental class taking system for Academic Achievers | ○ |
| 成績優秀者の他学部科目履修（履修条件等）Interdepartmental class taking system for Academic Achievers (Notes) | 制度ウェブサイトの3．科目別の注意事項(1)GIS主催科目の履修上の注意を参照すること。 |
| 実務経験のある教員による授業科目Class taught by instructors with practical experience | |
| SDGsCPSDGs CP | |
| アーバンデザインCPUrban Design CP | |
| ダイバーシティCPDiversity CP | |
| 未来教室CPLearning for the Future CP | |
| カーボンニュートラルCPCarbon Neutral CP | |
| 千代田コンソ単位互換提供（他大学向け）Chiyoda Campus Consortium | |
| 旧科目との重複履修Duplicate Subjects Taken Under Previous Class Title | |
| カテゴリー（2024年度以降入学者）Category (commenced 2024 onwards) | |
| カテゴリー（2020～2023年度入学者）Category (commenced 2020-2023) | 200-level Intermediate Courses（中級） |
| カテゴリー（2016～2019年度入学者）Category (commenced 2016-2019) | 200-level Intermediate Courses Culture and Society |
【授業の概要と目的（何を学ぶか） / Outline and objectives】
This course aims at helping students to learn the confluence of major technological forces--cloud computing, big data, artificial intelligence, and the Internet of Things--in driving a new digital society. In doing so, students will understand how digital-age companies such as Amazon, Google, Netflix, and Spotify are creating whole new industries and business models.
【到達目標 / Goal】
Students will understand the role of digital technologies in determining the capabilities of both incumbents and digital-born companies. To do so, students will learn how companies have transformed their business models and how they have embedded new technologies in their organizational fabric. This will be covered from the era of post-industrial society to the digital society.
Also, using multiple case studies, students will be able to explore and analyze how specific organizations have led their own digital transformation.
【この授業を履修することで学部等のディプロマポリシーに示されたどの能力を習得することができるか（該当授業科目と学位授与方針に明示された学習成果との関連） / Which item of the diploma policy will be obtained by taking this class?】
Will be able to gain “DP 2”, “DP 3” and “DP 4”.
【授業で使用する言語 / Default language used in class】
英語 / English
【授業の進め方と方法 / Method(s)】
（学期の途中で変更になる場合には、別途提示します。 /If the Method(s) is changed, we will announce the details of any changes. ）
This course will proceed with lectures, readings, group presentations, and group discussion. Students are required to read each chapter of a textbook in advance that will be covered during the class and submit a summary of it. After partial lectures from an instructor, students will participate in group presentations and subsequent discussions. The subject of group presentations will be divided into two types -- (1) the content of each chapter based on rigorous understanding, (2) case studies of the modern companies that can deepen understandings of each chapter and develop students' own critical perspective on the cases.
At the beginning of class, feedback for the previous class is given using some comments from submitted weekly papers.
【アクティブラーニング（グループディスカッション、ディベート等）の実施 / Active learning in class (Group discussion, Debate.etc.)】
あり / Yes
【フィールドワーク（学外での実習等）の実施 / Fieldwork in class】
なし / No
【授業計画 / Schedule】
授業形態 / methods of teaching：対面/face to face
※各回の授業形態は予定です。教員の指示に従ってください。
| 回 / No. | 各回の授業形態予定 / methods of teaching | テーマ / Theme | 内容 / Contents |
|---|---|---|---|
| 1 | オンライン/online | Introduction of Course | Introduction of Course |
| 2 | 対面/face to face | Post- and Pre-Industrial Society | The class first covers how the pre-and post-industrial societies had emerged. The class pays particular attention to the role of data processing, data-bases in leading the development of manufacturing. |
| 3 | 対面/face to face | Chapter (1): Punctuated Equilibrium and Economic Disruption | This class covers the impact of science and technology on economic systems, and how it creates economic disruption and new stability in a society. |
| 4 | 対面/face to face | Chapter (2a): Digital Transformation | This class covers the definition, scope, and applications of digital transformation. |
| 5 | 対面/face to face | Chapter (2b): Digital Transformation and Case Studies | This class covers digitalization and the impact of the Internet using case studies and compares how incumbents and digital-born companies deal with digital transformation. |
| 6 | 対面/face to face | Chapter (3a): The Information Age | This class will cover technology innovations (e.g.,cloud computing, big data, artificial intelligence, machine learning, deep learning, the Internet of Things). |
| 7 | 対面/face to face | Chapter (3b): The Information Age and Case Studies | We will cover how modern companies incorporate new digital technologies to create/modify their new business model. |
| 8 | 対面/face to face | Chapter (4a): The Elastic Cloud | This class covers the rise of cloud computing, its business value, benefits, and risks. |
| 9 | 対面/face to face | Chapter (4b): The Elastic Cloud and Case Studies | This class covers specific companies that have made exponential growth with using cloud computing and examines risks involved in cloud computing via discussions. |
| 10 | 対面/face to face | Chapter (5a): Big Data and Analytics | This class covers the definition / size/ speed/ structure of big data and a brief history behind it. |
| 11 | 対面/face to face | Chapter (5b): Big Data and Analytics and Case Studies | This class covers specific applications of big data using case studies and discusses challenges in handling big data for modern enterprises. |
| 12 | 対面/face to face | Chapter (6, 7a): The AI and IoT | This class covers the definition of AI / Internet of Things (machine learning, neural networks)and the overall field of AI today. |
| 13 | 対面/face to face | Chapter (6, 7b): The AI and IoT and Case Studies | This class covers how AI and IoT are deployed and improved an organization's workflow using case studies and discusses some challenges associated with them. |
| 14 | 対面/face to face | Wrap-up and Finalizing chapter 1-6 | The final class will briefly wrap up what we have learned by an instructor, and students will do small group presentations. |
【授業時間外の学習（準備学習・復習・宿題等） / Work to be done outside of class (preparation, etc.)】
Preparatory study and review time for this class are 2 hours each.
【テキスト（教科書） / Textbooks】
Digital Transformation: Survive and Thrive in an Era of Mass Extinction (English Edition), Thomas M. Siebel, RosettaBooks (2019/7/9), 3,257yen (hardcover).
【参考書 / References】
1. Rogers, D. (2016). The digital transformation playbook. Columbia University Press.
2. Marr, B. (2016). Big data in practice: how 45 successful companies used big data analytics to deliver extraordinary results. John Wiley & Sons.
【成績評価の方法と基準 / Grading criteria】
Participation (20%); Weekly paper (20%);
Group presentations (40%); Group discussions (20%).
【学生の意見等からの気づき / Changes following student comments】
Not applicable
【学生が準備すべき機器他 / Equipment student needs to prepare】
Bring to class: a notebook, the textbook on a laptop or a tablet, or bring a hard copy. Further information will be provided by the instructor.
【Prerequisite】
None.