GISDepartment of Global and Interdisciplinary Studies

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.

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.

Will be able to gain “DP 2”, “DP 3” and “DP 4”.

英語 / English

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.

あり / Yes

なし / No

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。

1[オンライン/online]：Introduction of Course

Explanation of course theme, content, grading, participation and attendance requirements

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.

Preparatory study and review time for this class are 2 hours each.

Digital Transformation: Survive and Thrive in an Era of Mass Extinction (English Edition), Thomas M. Siebel, RosettaBooks (2019/7/9), 3,257yen (hardcover).

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.

Participation (20%); Weekly paper (20%);
Group presentations (40%); Group discussions (20%).

Not applicable

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.

None.