Graduate School of Computer and Information Sciences

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COT500K1(計算基盤 / Computing technologies 500)
Global CIS Special Lecture 4
グローバルCIS特別講義4

Kaoru UCHIDA

Class code etc
Faculty/Graduate school Graduate School of Computer and Information Sciences
Attached documents
Year 2022
Class code TZ029
Previous Class code
Previous Class title
Term 春学期授業/Spring
Day/Period 火5/Tue.5
Class Type
Campus 小金井
Classroom name 各学部・研究科等の時間割等で確認
Grade
Credit(s) 2
Notes
Class taught by instructors with practical experience
Category

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Outline and objectives

Computer and Information Sciences for global innovation:
This course is designed to give graduate students the fundamental knowledge of and training for applying computer and information sciences for global innovation.

Goal

The goal of this course is to provide students with knowledge and understanding of the process and methodology to apply the asset of computer and information sciences to solve real world problems through global innovations.

Which item of the diploma policy will be obtained by taking this class?

Among diploma policies, "DP1" and "DP2" are related.

Default language used in class

英語 / English

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. )

The course, conducted in English, will enable students to understand the basic knowledge necessary to apply computer and information sciences to solve real world problems through global innovations. Students will enjoy related practical Python programming using code samples provided by the instructor.

The course will mainly consist of lectures including real case studies but time will be given for students to work on research, discussion and RPA programming projects. Project/assignment outputs will be reviewed in the classroom.

Active learning in class (Group discussion, Debate.etc.)

あり / Yes

Fieldwork in class

なし / No

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。

1[対面/face to face]:Introduction

Global innovation in 21st century

2[対面/face to face]:Innovation 1

- Value creation and value capture
- Innovation process and core competence management

3[対面/face to face]:Innovation 2

- Differentiation for user benefit
- Analysis of positioning and enhancement of capabilities

4[対面/face to face]:RPA programming

Programming for RPA (Robotic Process Automation)

5[対面/face to face]:Project workshop 1

Innovation case study
Diffusion of technology and disruptive innovation

6[対面/face to face]:Marketing basics 1

Introduction to marketing theories

7[対面/face to face]:Marketing basics 2

MOT marketing methodologies

8[対面/face to face]:Innovation case study 1

Birth of personal computer

9[対面/face to face]:Innovation case study 2

Evolution of the internet

10[対面/face to face]:Project workshop 2

Market creation by technology

11[対面/face to face]:Product architecture

Modular vs Integral
Open vs Closed
Platform leadership

12[対面/face to face]:Business models

- Business architectures and earning models
- Internet services, Web marketing and monetization

13[対面/face to face]:Project workshop 3

Business innovation

14[対面/face to face]:Summary

Globalization of technology and business

Work to be done outside of class (preparation, etc.)

Reading, research and programming assignments.
Standard study time outside of class for preparation and review: 4 hours.

Textbooks

Course materials will be provided in class.

References

Clayton M. Christensen, The Innovator's Dilemma: When New Technologies Cause Great Firms to Fail (Management of Innovation and Change), Harvard Business Review Press; Reprint edition (November 19, 2013).
W. Chan Kim and Renee Mauborgne , Blue Ocean Strategy: How To Create Uncontested Market Space And Make The Competition Irrelevant, Harvard Business Review Press; 1 edition (February 3, 2005).
Frederick E. Webster Jr., “Industrial Marketing Strategy,” Wiley, 1995.
Hugo Tschirky et al, “Management of Technology and Innovation in Japan,”Springer; 2005.

Grading criteria

Students will be evaluated on the basis of contribution in class (20%), and assignment outputs (80%).

Changes following student comments

(None in particular.
Feedback from students will be encouraged throughout the course.)

Equipment student needs to prepare

Students are expected to bring and use their laptop PCs for in-class programming exercises and/or presentations.