Faculty/Graduate school Department of Global and Interdisciplinary Studies
Attached documents
Year 2023
Class code A6232
Previous Class code
Previous Class title
Term 春学期授業/Spring
Day/Period 火2/Tue.2
Class Type
Campus 市ヶ谷 / Ichigaya
Classroom name 市外濠‐S602
Grade 2~4
Credit(s) 2
Open Program
Open Program (Notes)
Global Open Program
Interdepartmental class taking system for Academic Achievers
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。
Class taught by instructors with practical experience
Urban Design CP
Diversity CP
Learning for the Future CP
Carbon Neutral CP
Chiyoda Campus Consortium
Duplicate Subjects Taken Under Previous Class Title
Category (commenced 2024 onwards)
Category (commenced 2020-2023) 200-level Intermediate Courses(中級)
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

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/onlineIntroduction of Course Introduction of Course
2 対面/face to facePost- 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 faceChapter (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 faceChapter (2a): Digital Transformation This class covers the definition, scope, and applications of digital transformation.
5 対面/face to faceChapter (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 faceChapter (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 faceChapter (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 faceChapter (4a): The Elastic Cloud This class covers the rise of cloud computing, its business value, benefits, and risks.
9 対面/face to faceChapter (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 faceChapter (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 faceChapter (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 faceChapter (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 faceChapter (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 faceWrap-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.